Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Measurement of the high-quality development level of China's marine economy

Measurement of the high-quality development level of China's marine economy Purpose – The purpose of this paper is to measure the high-quality development level of China’s marine economy and analyze corresponding spatial and temporal distribution characteristic. Design/methodology/approach – Design and optimize the index system of high-quality development level of marine economy and use entropy and TOPSIS method for comprehensive evaluation. Findings – The research finds that from 2017 to 2019, the high-quality development tendency of China’s marine economy is on the rise, but the overall level is still low. The level of each subsystem has different distribution characteristics in different provinces and cities. Guangdong, Shandong and Shanghai have a high comprehensive level. According to the comprehensive level of high-quality development of marine economy, 11 coastal provinces are divided into three types: leading, general and backward. Research limitations/implications – This paper clarifies the temporal and spatial distribution law of high- quality development level of China’s marine economy, providing basis for promoting comprehensive and coordinated improvement of coastal provinces and cities. Originality/value – An indicator system for the high-quality development level of the marine economy has been established, including social development guarantee, marine economic foundation, marine science and technology drive and green marine sustainability. Keywords Marine economy, High quality index system, Entropy-TOPSIS method Paper type Research paper © Xuemei Li, Shiwei Zhou, Kedong Yin and Huichao Liu. Published in Marine Economics and Management. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full Marine Economics and Management attribution to the original publication and authors. The full terms of this licence may be seen at http:// creativecommons.org/licences/by/4.0/legalcode pp. 23-41 Emerald Publishing Limited Funding: This study was supported by the National Natural Science Foundation of China (41701593) 2516-158X and a key project of the National Social Science Foundation of China (16AZD018). DOI 10.1108/MAEM-10-2020-0004 1. Introduction MAEM General Secretary Xi Jinping has pointed out that “the ocean is a strategic place for high- 4,1 quality development”. As an important part of the national economy, the gross ocean product in 2019 reached 8.9415 trillion yuan, accounting for 9% of the GDP and an increase of 6.2% over the 8.3415 trillion yuan in 2018. The contribution rate of marine economy to the growth of the national economy is as high as 6.53%. In 2012, the added value of the marine tertiary industry surpassed that of the marine secondary industry for the first time, and the marine industrial structure realized an important transformation from “second, third and first” to “third, second and first”. In 2015, the marine tertiary industry accounted for more than 50% of the gross ocean product for the first time, and the transformation and upgrading of the marine industrial structure achieved remarkable results. The reasonable growth of “quantity” of marine economic development provides the basic guarantee for the steady improvement of “quality”. High-quality development of marine economy has been a new driving force to promote high-quality development of national economy, a “blue engine” of high-quality economic development, and a top priority in the strategic construction of maritime power. Under the background of the new era, with the land resources development intensity gradually saturated, developing the ocean and managing the ocean has become the only way to breed new economic industries, create innovative growth poles and build a new barrier for high-quality development. However, China’s marine economic development still has many problems that cannot be ignored and need to be solved urgently. It includes that traditional marine industries are too many and too excessive, emerging marine industries are facing downward pressure, the development of light and heavy marine industries is unbalanced and the marine industrial structure needs to be optimized. The development model of marine economy is mainly based on extensive and predatory development and capital driving. Offshore pollution is quite serious, the decline of biological resources has not been fundamentally improved, the governance system of marine ecological environment needs to be improved and the sustainable development of marine industry needs to be strengthened. The time fluctuation and space difference of marine labor productivity are large, the conversion rate of marine scientific and technological achievements is low and the efficiency of marine economic development needs to be improved. The high-quality development of marine economy is of great strategic significance to the construction of maritime power and modernized economic system in China. State leaders and relevant departments at all levels attach great importance to the high-quality development of the marine economy. In October 2017, the 19th National Congress of the Communist Party of China first proposed “high-quality development” for the economy. In January 2018, the National marine Work Conference pointed out that China should help the construction of a modernized economic system and promote the development of the marine economy to a higher quality by improving the capacity of monitoring and evaluating the operation of the marine economy, enriching the marine economic management policy tools, enhancing the capacity of driving marine innovation and speeding up the construction of marine economy demonstration zones. In March 2018, General Secretary Xi Jinping emphasized that “ocean is a strategic place for high-quality development” when he attended the review by the Shandong delegation at the first session of the 13th National People’s Congress. In August 2018, the Ministry of Natural Resources and the Industrial and Commercial Bank of China jointly issued the implementation opinions on promoting high- quality development of the marine economy, which clearly stated that priority should be given to supporting the transformation and upgrading of traditional marine industries, the cultivation and growth of emerging marine industries, the construction of major sea-related infrastructure and the green development of the marine economy and strengthening financial support for the three major marine economic circles and “the Belt and Road” financial support for maritime cooperation. In October 2019, General Secretary Xi Jinping China’s marine pointed out that the pace of innovation in marine science and technology should be economy accelerated, the ability to develop marine resources should be enhanced and strategic emerging marine industries should be nurtured and strengthened. We should promote maritime connectivity and practical cooperation in various fields and actively develop the “Blue Partnership”. In government work report delivered at the third session of the 13th National People’s Congress in May 2020, Premier Li Keqiang pointed out that efforts should be made to further promote the development of the Guangdong-Hong Kong-Macao Greater BayArea, andthe integrated developmentofthe YangtzeRiver Deltadrawupanoutline for ecological protection and high-quality development of the Yellow River Basin and develop the marine economy. Based on the above analysis, this paper will combine the new requirements and new ideas of China’s high-quality economic development in the new era with the existing problems of China’s marine economic construction, clarifies the connotation and mechanism of high- quality development of marine economy and scientifically establishes and rationally optimizes the indicator system of high-quality development of marine economy. The entropy- TOPSIS method was used to measure the high-quality development level of marine economy in 11 coastal provinces (or cities) in China from 2017 to 2019. The contents of this paper are as follows: first, there is a comprehensive review of the current research on the high quality development level of marine economy at home and abroad. Second, it clarifies the connotation and mechanism of high-quality development of marine economy, designs the index system of high-quality development of marine economy and introduces the entropy-TOPSIS method and data sources. Finally, it measures the measurement results of each subsystem and comprehensive level of high-quality economic development in 11 coastal provinces (or cities) in China, analyzes its spatial distribution law and proposes targeted policy enlightenment. 2. Literature review Quantity and quality are two closely related and distinctive dimensions in the process of macroeconomic development. “Quantity” emphasizes the quantitative expansion in speed and scale in the process of economic growth, while “quality” focuses on the improvement of economic development from three aspects: process, result and prospect (Ren, 2013). Pointed out in the report to the Party’s 19, China’s economy has the high-quality development stage of rapid growth stage as a period of transitional development and growth slowdown. China’s economy depends more on the quality and efficiency of economic growth than on quantity and speed (Mei and Chen, 2016); growth quantitative index such as GDP, national income is no longer the only focus, but gradually by the number of attention to focus on quality, to promote the construction of a resource-conserving and environment-friendly society (Ni et al.,2014; Ghosh, 2017; Colaco et al., 2020). In the new era, high-quality economic development in China is an active choice to adapt to the new normal of economic development. That is the transformation of economic growth from high-speed to medium-high speed, the optimization of economic structure to medium-high end and the transformation of economic growth driver to innovation- driven (Jin, 2018; Han, 2020). High-quality economic development is the fundamental embodiment of the five development concepts of “innovative, coordinated, green, open and share”. It is also the development that meets the people’s needs for a better life in all aspects (Chen and Chen, 2018; Zhang, 2020; Zhao et al., 2020). High quality and economic development is the inevitable requirement to adapt to the changing social principal contradictions of our country. It requires the establishment of accurate product quality standards, the production of middle and high-end products, the realization of economic growth based on integrity, efficiency, balance and ecology and the promotion of regional economic development of synergy, completeness, inclusiveness and openness (Zhao et al., 2019; Research Group of Economic Research Institute of National Development and Reform Commission, 2019). Focusing on the MAEM marine field, high-quality development of marine economy is a high-efficiency, stable and 4,1 sustainable development. Scientific and technological innovation should be the fundamental driving force to promote high-quality development of marine economy. And institutional innovation should be the basis to guarantee and promote high-quality development of marine economy (Han et al., 2019). With the development of marine economy high-quality research gradually transition from theory to practice analysis, single measurement indexes such as intermediate input output rate, investment efficiency, labor productivity and total factor productivity are one-sided and limited, which cannot comprehensively reveal the whole picture of high-quality development level of marine economy in a certain region (Gao et al., 2018; Wu et al., 2019; Sun and Song, 2019). Therefore, it has become a research focus to comprehensively evaluate the high-quality development of the marine economy by constructing index systems. These index systems have rich and diverse evaluation perspectives and measure indicators with their own characteristics. Thus, it improves the limitations of using a single index to represent the high- quality development level of the economy. Specifically, from the perspective of sustainable development of marine economy, ecological, social and economic interests should be taken into account when measuring the sustainable development ability of marine economy (Pioch et al., 2011), and a sustainable evaluation system of marine economy based on three subsystems of marine economy, marine society and marine resources and environment should be built (Sun et al., 2014; Bai et al., 2015; Yu et al., 2019; Wang et al., 2020; Weijiao and Chunhui, 2020). From the perspective of green development of the marine economy, the evaluation index system of green development of the marine economy is constructed from three perspectives of economic growth, resource utilization and social development, and the green development index of the marine economy is measured to analyze the temporal and spatial differences (Wang, 2018; Liang, 2019). From the perspective of coordinated development of marine economy, it clarifies the coordinated development factors of marine economic system, land economic system, ecological environment system and marine science and technology system, constructs a multi-level index system and explores the degree and path of coordinated development of marine economy (Wang and Jiang, 2019; Di Qianbin et al., 2020). A large number of the above researches have focused on the measurement and evaluation of the high-quality development of marine economy from a certain angle, but few studies have quantified the comprehensive level of the high-quality development of marine economy through the construction of an index system. From the perspective of “quality”, the high- quality development of marine economy reveals the level of quality and quality of marine economic performance. Its core is quality, and its main body is marine economy. It focuses on the level of quality that reflects marine economic performance from the perspective of “development”. At the same time, “high” highlights new ideas and new requirements, emphasizing the advanced level of quality in the process of marine economic construction (Min and Li, 2018). Therefore, the comprehensive evaluation system for high-quality development of marine economy directly guides the work of marine economy. Thus, it not only covers multiple levels, such as long-term and medium-term, macro and micro but also includes multiple sub-evaluation systems, such as input and output. At the same time, we need to take high quality as the evaluation guide and standard. We should incorporate such issues as the coupling of sea population system, the vulnerability of marine economy, the carrying capacity of marine resources and environment, the overall planning of land and sea, the interaction between marine resources system and economic system and the efficiency of marine ecology into the high-quality evaluation system of marine economy (Liu et al., 2020; Wang et al., 2020; Qin and Shen, 2020; Li et al., 2020). To sum up, the high-quality development of marine economy centers on economic efficiency, marine resources and marine industry. However, the existing research focuses on basic theoretical research, and unified research framework and evaluation system has not China’s marine been formed. Therefore, the establishment of a comprehensive evaluation system for the economy high-quality development of marine economy, the exploration of the mechanism of innovation-driven high-quality development of marine economy and the proposal of specific implementation paths for the high-quality development of marine economy are conducive to the improvement of the overall development level of China’s marine economy and are of great practical value in supporting the deepening implementation of the national strategy of maritime power. 3. Measurement of the high quality development level of China’s marine economy: connotation, system and method This chapter clarifies the connotation and characteristics of high-quality development of marine economy and identifies indicators reflecting the high-quality development of the marine economy. It uses the method of target layers constructed index system of marine economy development of high quality, expert assignment through single indexes inspection and effectiveness of screening indicators and construction of index system of marine economy development of high quality. 3.1 Connotation of high-quality development of marine economy This paper argues that to understand the connotation of high-quality development of marine economy, it is necessary to start from the two dimensions of “quality” and “quantity” and consider the connotation of high-quality development of marine economy and the development foundation and dynamic mechanism of marine economy. High-quality development of the marine economy means that while achieving a certain “quantitative” growth, the marine economy constantly improves the comprehensive development level of the marine economy, continues to optimize the marine industry structure, rationally improves marine social welfare distribution, speeds up the balance state of marine ecological environment, steps up efforts to popularize marine culture in a step-by-step manner and effectively enhances the capacity of marinescienceandtechnologyinnovationdrive.Thegoalofhigh-qualitydevelopmentofmarine economy is to achieve a dynamic balance between the system of “marine economy” and the system of “marine society-marine ecology-marine culture-marine science and technology”,to promotethetransformationofthequality,efficiencyandpowerofmarineeconomicdevelopment and to promote the improvement of the quality and efficiency of marine economic development. High-quality development of marine economy is characterized by stability, sustainability, coordination and long-term development. The high-quality development of marine economy is reflected in the transformation of development mode from extensive to intensive, the transformation of development impetus from production scale expansion to scientific and technological innovation and the transformation of resource factors to land-sea integration and efficient allocation. This is embodied in the more prominent export-oriented characteristics of marine economy, higher production efficiency of input factors of marine economy and better quality of human capital. The marine economy is more innovation- driven, and the contribution rate of marine scientific and technological progress is higher. The marine ecological environment is greener, and the capability of pollution control and environmental protection is stronger. 3.2 Total identification of high quality development index of marine economy The design principle of index system is based on the principles of scientificity and integrity, consideration and comprehensiveness, potentiality and prospectiveness and comparability and operability. From the four aspects of social development guarantee ability, marine economy basic ability, marine science and technology driving ability and green ocean sustainable ability, 27 indicators are summarized in this paper. The social development guarantee ability refers to the basic guarantee ability of the MAEM macro-environment of economic and social development for the high-quality development of 4,1 marine economy. Specifically, it includes per capita GDP, consumer price index, natural growth rate of population, urbanization rate, social endowment insurance coverage rate of urban and rural residents, energy consumption per unit GDP and intensity of R&D expenditure input of industrial enterprises above designated size. The basic capacity of marine economy refers to the organic unity of the difference of quantity, scale and quality of marine economy. The quantity scale of marine economy reflects the development volume and level of marine economy from the macro level. The difference of marine economy quality reflects the marine industrial structure and the importance of marine economy. Specifically, they include the proportion of GOP in GDP, the proportion of marine emerging industries’ added value in GOP, the growth rate of gross ocean product, the proportion of marine tertiary industry’s added value in GOP, the elasticity coefficient of marine tertiary industry’s added value, marine labor productivity and foreign trade dependence. The driving capacity of marine science and technology refers to the intensity of marine science and technology progress and innovation to generate power for the development of marine economy and enhance benefits. It includes marine science and technology progress contribution rate, marine scientific and technological achievements to realize industrialization of output per capita, marine science and technology personnel to undertake marine scientific research subject number, marine science and technology patent license number, number of marine science and technology publishing, marine professionals per capita has amount of science and technology activities and marine professional student number per capita marine education investment funds. Green ocean sustainability refers to the ability of marine ecological environment to support the high-quality development of marine economy, so as to decouple the growth of marine economy from the overload of marine resources. It includes marine crude output intensity (unit area of marine oil production), marine fishing intensity (unit area of the ocean catches), marine disasters direct economic loss of strength (direct economic loss of marine disasters of the area of the unit area), the sea pollution discharge intensity (unit coastline length of straight row of sea pollution in sewage), environmental governance investment intensity (unit area of the environmental governance investment) and unit of marine nature reserve of pollution control projects. 3.3 Construction of high quality development index system for marine economy In this paper, 10 experts were invited based on the Delphi method to assign 1–10 points to 27 second-level indicators under 5 first-level indicators according to the importance of indicators. The results of validity test and consistency test (Yin et al., 2019) for expert assignments of a single indicator are shown in Tables 1 and 2. According to Table 1, at the significance level of is α ¼ 0:005, the absolute value of all test values is less than the critical value of is t ð10− 2Þ¼ 2:355, so all expert assignments for 0:005 each indicator are valid. According to Tables 2 shows that under the level of significance level is α ¼ 0:005, 10 indexes of the test value is greater than the critical value of 2.355, so as to eliminate the above 10 indexes. They include the consumer price index, the urbanization rate, the intensity of R&D expenditure input, marine productivity, foreign trade dependence, marine scientific and technological achievements to realize industrialization of output per capita, number of marine science and technology publishing, marine professional student number per capita marine education investment funds, marine crude output intensity and unit of marine nature reserve of pollution control projects. Therefore, the indicator system of high-quality development of marine economy is shown in Table 3. China’s marine economy Table 1. Validity test of expert assignment of a single indicator Expert 1 Expert 2 Expert 3 Expert 4 Expert 5 Expert 6 Expert 7 Expert 8 Expert 9 Expert 10 GDP per capita 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Consumer price Index 1.2139 0.9026 0.9026 0.5914 0.5914 0.2801 0.9649 0.9649 1.2761 1.2761 Natural population growth rate 1.1212 1.1212 0.2587 0.2587 0.2587 0.2587 0.2587 0.6037 0.6037 2.3286 Urbanization rate 1.2176 1.2176 1.2176 0.9585 0.5958 0.5958 0.8549 0.8549 0.8549 0.8549 Social endowment insurance coverage 1.9378 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.5855 1.5855 Energy consumption per unit of GDP 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 The intensity of R&D expenditure input 1.3393 1.0603 1.0603 0.5022 0.5022 0.3348 0.8929 0.8929 1.1719 1.1719 GOP/GDP 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 The value of marine emerging industries /GOP 1.0279 1.0279 1.0279 0.1142 0.1142 0.1142 0.1142 0.1142 0.1142 2.3984 Growth rate of gross marine product 1.1619 1.1619 0.1936 0.1936 0.1936 0.1936 0.1936 0.1936 1.7428 1.7428 The value of marine tertiary industry/GOP 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Elasticity coefficient of marine tertiary industry 0.7591 0.7591 0.7591 0.0690 0.0690 0.0690 0.0690 0.0690 0.0690 2.6913 Marine productivity 1.4643 1.1931 1.1931 0.6508 0.4339 0.7050 0.7050 0.7050 0.9762 0.9762 Dependence on foreign trade 1.8974 0.3162 0.3162 0.3162 0.3162 0.3162 0.3162 1.2649 1.2649 1.2649 Contribution of marine technological 1.8974 1.8974 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 Marine technological achievements output 2.1118 1.1062 0.1006 0.1006 0.1006 0.1006 0.9050 0.9050 0.9050 0.9050 Undertaking marine research projects per 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 capita Ocean technology patents authorized 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 Marine technology papers published 1.3506 1.3506 1.0570 0.7634 0.4111 0.7047 0.7047 0.7047 0.9983 0.9983 Per capita funds for technological activities 1.9378 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.5855 1.5855 Per capita marine education input 1.3059 1.3059 0.2176 0.2176 0.2176 0.2176 0.2176 0.8706 0.8706 1.9588 Intensity of offshore oil production 1.1062 1.1062 1.1062 0.1006 0.1006 0.1006 0.1006 0.9050 0.9050 1.9106 Intensity of marine fishing 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Intensity of direct economic losses 1.8974 1.8974 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 Intensity of sewage discharge from sea 2.2883 0.8581 0.8581 0.5721 0.5721 0.5721 0.5721 0.5721 0.5721 0.5721 pollution Investment in environmental governance 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Pollution control projects 2.1118 1.1062 0.1006 0.1006 0.1006 0.1006 0.9050 0.9050 0.9050 0.9050 MAEM Indicator t value Indicator t value 4,1 GDP per capita 2.3094 Contribution of marine technological 1.6330 Consumer price index 5.4000 Marine technological achievements output 3.1305 Natural population growth rate 2.3333 Undertaking marine research projects per 1.8974 capita Urbanization rate 4.4980 Ocean technology patents authorized 1.8974 Social endowment insurance coverage 1.8974 Marine Technology papers published 4.9115 Energy consumption per unit of GDP 1.8974 Per capita funds for technological activities 1.8974 The intensity of R&D expenditure input 7.8779 Per capita marine education input 2.6833 GOP/GDP 1.8974 Intensity of offshore oil production 3.1305 The value of marine emerging industries/ 2.1320 Intensity of marine fishing 2.3094 GOP Growth rate of gross marine product 2.1909 Intensity of direct economic losses 1.6330 The value of marine tertiary industry/GOP 2.3094 Intensity of sewage discharge from sea 2.1381 pollution Elasticity coefficient of marine tertiary 1.6733 Investment in environmental governance 2.3094 Table 2. industry Consistency test of Marine productivity 4.7140 Pollution control projects 3.1305 expert assignment of a single indicator Dependence on foreign trade 2.5298 Target Criterion Factor Effect High-quality development of Social development GDP per capita þ marine economy security capacity Natural population growth rate þ Social endowment insurance þ coverage Energy consumption per unit of GDP Basic marine economic GOP/GDP þ capacity The value of marine emerging þ industries/GOP Growth rate of gross marine þ product The value of marine tertiary þ industry/GOP Elasticity coefficient of marine þ tertiary industry Marine technology driving Contribution of marine þ capability technological Undertaking marine research þ projects per capita Ocean technology patents þ authorized Per capita funds for technological þ activities Green ocean sustainability Intensity of marine fishing Intensity of direct economic losses Table 3. Intensity of sewage discharge Indicator system of from sea pollution high-quality Investment in environmental þ development of marine governance economy 3.4 Evaluation of the high-quality development level of China’s marine economy China’s marine In this paper, the entropy-TOPSIS method (Du et al., 2014) is used to measure the development economy ability and comprehensive level of various indicators in the high-quality development of China’s marine economy. The core idea is to use entropy method to determine the weight of each index on the basis of standardized treatment of each index, and then use TOPSIS method to conduct quantitative comparison of the high-quality development level of marine economy in different regions. The index weight value of entropy method is obtained according to the information reflected by the variation degree of each index data, which greatly reduces the interference of subjective factors when the index weights are given. By comparing the relative distance between each evaluation object and the optimal scheme the worst scheme, respectively, the TOPSIS method is characterized by strong operability and rationality of the results. Therefore, this paper adopts the entropy-TOPSIS method to carry out the comprehensive evaluation of the high-quality development level of China’s marine economy, and the results are more objective and reasonable. The specific implementation steps are as follows. First, in order to eliminate the difference between different indicators in terms of order of magnitude and dimension, the range method is used to standardize all indicators x in the ij high-quality development index system of marine economy: x  minðx Þ > ij ij ; x is a postive indicator > ij maxðx Þ minðx Þ ij ij y ¼ (2-1) ij > maxðx Þ x ij ij : ; x is a negative indicator ij maxðx Þ minðx Þ ij ij where, i denotes the coastal province (or city), j denotes the evaluation index and x and y , ij ij respectively, represent the original value and the standardized value of the evaluation index of the high quality development level of marine economy. The second step is to calculate the information entropy E of each evaluation index y in j ij the high-quality development index system of marine economy: 20 1 0 13 6B C B C7 1 y y ij ij 6B C B C7 E ¼ − *ln (2-2) 4@ n A @ n A5 P P ln n i¼1 y y ij ij i¼1 i¼1 The third step is to calculate the weight ω of each rating index y in the high-quality j ij development index system of marine economy: 1  E ω ¼ (2-3) ð1  E Þ j¼1 The fourth step is to construct the weighted matrix of the high-quality development index system of marine economy R: R ¼ðr Þ ; r ¼ ω 3 y (2-4) ij ij j ij n3m In the fifth step, the optimal scheme Q and the worst scheme Q are determined according to j j the weighted matrix R: þ Q ¼ðmaxr ; maxr ;  ; maxr Þ MAEM i1 i2 im (2-5) 4,1 Q ¼ ðminr ; minr ;  ; minr Þ i1 i2 im þ − The sixth step is to calculate the Euclidean distance d ; d between each evaluation object and the optimal scheme Q and the worst scheme Q , respectively: j j vffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 32 X u 2 þ þ d ¼ Q  r ij i j j¼1 vffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi (2-6) X 2 d ¼ Q  r ij j¼1 The seventh step is to calculate the relative proximity between each evaluation object and the ideal scheme C : i − C ¼ (2-7) þ − d þ d i i Among them, the relative proximity C is between 0 and 1. The larger the degree is, the better the high quality development level of marine economy in coastal provinces (or cities) is. On the contrary, the marine economy of coastal provinces (or cities) with high quality development level is worse. 4. Empirical analysis 4.1 Data sources With regard to data sources, the four secondary indicators of social development security capacity are all from the National Bureau of Statistics. Secondary indicators related to basic marine economic capacity, driving capacity of marine science and technology and sustainable green marine capacity are obtained from Statistics Bulletin of China’s Marine Economic (2017–2019), Statistics Bulletin of China’s Marine Economic of each province (or city) (2017–2019) and China Maritime Disaster Bulletin (2017–2019). 4.2 China’s marine economy develops at the sub-system level with high quality Based on the high quality development index system of marine economy, it took the lead in measuring the four subsystems of high quality development of marine economy in 11 coastal provinces (or cities) in China from 2017 to 2019. The results are shown in Tables 4–7. 2019 2018 2017 China 0.5330 0.5355 0.4818 Tianjin 0.2988 0.2871 0.6652 Hebei 0.3626 0.3741 0.3663 Liaoning 0.0864 0.0828 0.0841 Shanghai 0.6101 0.6057 0.6355 Jiangsu 0.6480 0.6370 0.6606 Zhejiang 0.5654 0.5982 0.5626 Fujian 0.8700 0.8555 0.7831 Shandong 0.4980 0.5734 0.7284 Table 4. Guangdong 0.7088 0.7312 0.6734 Measurement results of Guangxi 0.4559 0.5140 0.4212 social development security capability Hainan 0.5160 0.6102 0.4698 China’s marine 2019 2018 2017 economy China 0.4286 0.4958 0.1263 Tianjin 0.6328 0.6210 0.6555 Hebei 0.1826 0.2010 0.1583 Liaoning 0.1074 0.0746 0.3749 Shanghai 0.6049 0.5100 0.5871 Jiangsu 0.1220 0.0810 0.3664 Zhejiang 0.3591 0.3123 0.5930 Fujian 0.6369 0.5503 0.6216 Shandong 0.7076 0.5023 0.3721 Table 5. Guangdong 0.7187 0.5073 0.4177 Measurement results of Guangxi 0.1260 0.1446 0.0816 basic capacity of Hainan 0.3234 0.3711 0.5543 marine economy 2019 2018 2017 China 0.1770 0.1821 0.1774 Tianjin 0.3296 0.3443 0.0976 Hebei 0.0023 0.0043 0.0009 Liaoning 0.4827 0.4769 0.5814 Shanghai 0.6239 0.5840 0.7205 Jiangsu 0.2106 0.2266 0.2198 Zhejiang 0.0894 0.0981 0.0818 Fujian 0.0539 0.0459 0.0358 Table 6. Shandong 0.5997 0.5939 0.5749 Measurement results of Guangdong 0.5702 0.6169 0.7048 marine science and Guangxi 0.0008 0.0012 0.0019 technology driving Hainan 0.1477 0.1466 0.0675 capability 2019 2018 2017 China 0.8544 0.8842 0.8199 Tianjin 0.9526 0.9755 0.9897 Hebei 0.1139 0.2812 0.2710 Liaoning 0.8581 0.8858 0.9754 Shanghai 0.9776 0.9743 0.9867 Jiangsu 0.9445 0.9340 0.2365 Zhejiang 0.7775 0.9666 0.9670 Fujian 0.3807 0.1631 0.0914 Shandong 0.8943 0.9610 0.9828 Table 7. Guangdong 0.9964 0.9981 0.3163 Measurement results of Guangxi 0.9417 0.9366 0.9569 green marine Hainan 0.7058 0.7236 0.9604 sustainability 4.2.1 Ability to guarantee social development. According to Table 4, from 2017 to 2019, the scores of social development security capability for high-quality development of China’s marine economy are 0.4818,0.5355 and 0.5330, respectively, and the average scores of more than 11 coastal provinces (or cities) in 2018 and 2019 are 0.5336 and 0.5109, respectively. Among them, the social development to ensure minimum provinces and cities of Liaoning province, the score was 0.0841, 0.0828 and 0.0864, respectively. Fujian Province has the MAEM highest social development security capacity, which the scores are 0.7831, 0.8555 and 0.8700, 4,1 respectively. Furthermore, social development support capability of Fujian Province is about roughly 9.91 times that of Liaoning Province, which shows that the social development of China’s marine economy development high-quality guarantee ability exist large regional differences, different social development between the coastal provinces (or cities) co-evolution is weak. In 2017, Fujian Province (0.7831), Shandong Province (0.7284), Guangdong Province (0.6734), Tianjin City (0.6652) and Jiangsu Province (0.6606) scored the highest in social development security ability. In 2018, Fujian Province (0.8555), Guangdong Province (0.7312), Jiangsu Province (0.6370), Hainan Province (0.6102) and Shanghai City (0.6057) were the top five provinces (or cities) in terms of social security capability. In 2019, Fujian Province (0.8700), Guangdong Province (0.7088), Jiangsu Province (0.6480), Shanghai City (0.6101) and Zhejiang Province (0.5654) are the five provinces (or cities) with the highest score of social development security ability. Most of these provinces are located in the eastern marine economic circle and the southern marine economic circle. In addition, they have strong macroeconomic and social strength in the high-quality development of the marine economy. In the course of high-quality development of the marine economy, China has strong macroeconomic and social strength. At the same time, the input and output of factors such as productivity, labor force, social security and energy are coordinated, so they can better guarantee the high-quality development of the regional marine economy. In contrast, from 2017 to 2019, the two provinces (cities) with the lowest social security capability scores were Hebei Province and Liaoning Province, which are located in the northern ocean economic circle. Compared with the eastern and southern ocean economic circles, these two provinces have significant spatial imbalance and insufficient basic guarantee capability for high-quality development of the marine economy. 4.2.2 Basic capacity of marine economy. It can be seen from Table 5 that from 2017 to 2019, the score of basic marine economy capability for high-quality development of China’s marine economy is 0.1263, 0.4958 and 0.4286, respectively, which only exceeds the average level of 11 coastal provinces and cities (0.4348) in 2018. Among them, from 2017 to 2019, the provinces and cities with the lowest basic capacity of marine economy in Guangxi Province (0.0816) and Liaoning Province (0.0746, 0.1074), the provinces and cities with the highest scores of Tianjin City (0.6555, 0.6210) and Guangdong Province (0.7187), respectively. The province with the highest score is about 7.68 times that of the lowest, indicating that there are also obvious spatial differences in China’s basic capacity of marine economic. From 2017 to 2019, the five provinces (cities) with the highest score in marine economic basic ability changed from Tianjin, Fujian, Zhejiang, Shanghai and Hainan to Tianjin, Fujian, Shanghai, Guangdong and Shandong, and then to Guangdong, Shandong, Fujian, Tianjin and Shanghai. Especially, Guangdong province and Shandong Province, two big provinces with strong marine economy, gradually show their advantages, and the effect of marine economic growth control and marine industrial structure optimization is gradually obvious. But the northern marine economic circle of Liaoning Province, the eastern marine economic circle in Jiangsu Province and the southern Guangxi Province, have been in a backward position of marine economic circle. It is indicated that the marine economic development of the mechanism is not yet complete. These areas do not attach enough importance to the development of marine economy, so it is necessary to accelerate the development of local marine economy and balance the development level of the three marine economic circles. 4.2.3 Marine technology driving capability. According to Table 6, from 2017 to 2019, China’s marine science and technology driving ability score for high-quality development of marine economy is 0.1774, 0.1821 and 0.1770, respectively, which is always lower than the average level of 11 coastal provinces and cities. From 2017 to 2019, Guangdong, Shandong and Shanghai are the three provinces and cities with the highest marine science and China’s marine technology driving capacity, and their scores remain above 0.5. The two provinces and cities economy with the lowest scores were Hebei and Guangxi, respectively, and the difference in driving capacity of marine science and technology was as high as 700 times. Guangdong, Shandong and Shanghai depend on the good foundation of marine economy and the rising marine industrial structure, through introducing talents such as policy guidance and attaches great importance to the marine professional education and marine science and technology research and development. Especially, through the establishment and development of the Guangdong-Hong Kong-Macao Greater Bay Area, China (Shanghai) Pilot- Free Trade Zone Lin-Gang Special Area, Guangdong Province and Shanghai City have absorbed international advanced technology under the concept of “openness and sharing” and strengthened the driving force of marine science and technology for the high-quality development of the marine economy. On the contrary, the driving capacity of marine science and technology in other provinces and cities urgently needs to be improved. It is worth mentioning that the driving capacity of marine science and technology in other provinces and cities urgently needs to be improved, especially in Guangxi, Hebei and other provinces with relatively backward development of marine science and technology. These areas must attach great importance to the innovation of marine science and technology and break the extensive model of marine economic development. 4.2.4 Green marine sustainability. According to Table 7, from 2017 to 2019, the scores of green marine sustainability for high-quality development of China’s marine economy are 0.8199, 0.8842 and 0.8544, respectively, which are always higher than the average level of 11 coastal provinces and cities. It is indicated that the green and sustainable development of marine economy in coastal provinces and cities needs to be strengthened. Among them, from 2017 to 2019, the three provinces and cities with the highest green marine sustainability have changed from Tianjin, Shanghai and Shandong to Guangdong, Tianjin and Shanghai, all with scores above 0.95. The two provinces and cities with the lowest scores were Hebei and Fujian respectively, and there was an 8-fold difference in the green marine sustainability. After realizing the transformation of medium-high end marine industrial structure, Tianjin, Shanghai and Guangdong have intensified efforts in marine pollution control, enhanced marine disaster resilience and post-disaster reconstruction and achieved a relatively high level of sustainable green marine development. However, the specific reasons for the high green marine sustainability score are different. Thanks to the low intensity of marine fishing and the high intensity of investment in environmental governance, Guangdong has established an orderly system to guarantee ecological civilization to the greatest extent. Tianjin City and Shanghai City rely on the lower intensity of direct economic loss of marine disasters and the intensity of sewage discharge of marine pollution sources to carry out energy conservation and emission reduction work from the source. On the contrary, due to the relatively developed marine heavy industry, pollution prevention measures and marine disaster prevention measures are not fully implemented, Hebei Province needs to further improve its green marine sustainability. 4.3 The comprehensive level of China’s high-quality marine economy From 2017 to 2019, the empirical measurement results of the comprehensive level of high- quality development of China’s 11 coastal provinces (cities) are shown in Figure 1. It can be found that from 2017 to 2019, the comprehensive level scores of high-quality development of China’s 11 coastal provinces (cities) are within three ranges: [0.1665,0.7191], [0.1778,0.6914] and [0.1396,0.7171]. In 2017, the comprehensive score of high-quality development of China’s marine economy is 0.3287, which is far lower than the average score (0.4762) of 11 coastal provinces (or cities). Hebei received the lowest score (0.1665) and Shanghai received the highest score (0.7191), 0.8000 MAEM 4,1 0.7000 0.6000 0.5000 0.4000 0.3000 0.2000 0.1000 Figure 1. Comprehensive level of 0.0000 high-quality development of China’s marine economy 2019 2018 2017 indicating that the overall level of high-quality marine economic development in China in 2019 is relatively low. In 2018, China’s overall score of high-quality marine economic development was 0.4671, exceeding 11 coastal provinces (municipalities) high-quality marine economy development level of comprehensive scoring average (0.4346). The lowest score was Hebei (0.1778), while Guangdong surpassed Shanghai in the first place with a score of 0.6914. Its SD was 0.1678, indicating that China’s comprehensive level of high-quality marine economic development showed an upward trend in 2018, with certain spatial differences among different coastal provinces and cities. In 2019, China’s comprehensive score for high-quality marine economic development was 0.4387, slightly lower than the comprehensive score in 2018. The mean score and SD of the overall level of high-quality development of the marine economy of the 11 coastal provinces (cities) were 0.4424 and 0.1840, respectively. The lowest score was Hebei (0.1396), while the highest score was Guangdong (0.7171), indicating that China’s high-quality economic development in 2019 is inferior to that in 2018, and the spatial differences among the 11 coastal provinces (cities) have spread. Based on the relationship between the mean score ðMÞand SD ðSDÞ, this paper divides the high-quality development of marine economy in 11 coastal provinces (cities) into three types: leading type (over M þ 0.5 SD), general type (between M  0.5 SD and M þ 0.5 SD) and laggards (below M  0.5 SD). According to Table 8, the classification results of high-quality marine economic development in 11 coastal provinces (cities) from 2017 to 2019 can be obtained (Table 9). In 2017, the comprehensive score of high quality development of marine economy of leading provinces and cities was higher than 0.5599, including Shanghai, Shandong and 2019 2018 2017 Leading (0.5344,1.0000) (0.5185,1.0000) (0.5599,1.0000) Table 8. General (0.3504,0.5344) (0.3507,0.5185) (0.3923,0.5599) Division of the three types Laggards (0.0000,0.3504) (0.0000,0.3507) (0.0000,0.3923) Tianjin, whose comprehensive score of high-quality development of marine economy was China’s marine 0.7191, 0.6608 and 0.6088, respectively. economy In 2018, the comprehensive score of high quality development of marine economy of leading provinces and cities was higher than 0.5185. It is included Guangdong, Shanghai, Shandong and Tianjin, whose comprehensive score of high-quality development of marine economy was 0.6914, 0.6419, 0.6398 and 0.5313, respectively. In 2019, the comprehensive score of high-quality development of marine economy in leading provinces and cities was higher than 0.5344, It is included Guangdong, Shanghai and Shandong, which were 0.7171, 0.6869 and 0.6591, respectively. Guangdong province, Shandong Province, Tianjin City and Shanghai City have excellent comprehensive level of high-quality development of marine economy. In the development process of marine economy, they can not only attach importance to the improvement of quantity of marine economy growth but also the improvement of high-quality development level of marine economy, and their comprehensive performance is relatively excellent. Among them, Guangdong province has a rapid development momentum and is a “star” province with high-quality marine economy. In 2017, the comprehensive level score of high-quality development of marine economy in general types ranged from 0.3923 to 0.5599, including Zhejiang, Liaoning, Guangdong and Hainan, while the score of laggards was lower than 0.3923, including Fujian, Jiangsu, Guangxi and Hebei. In 2018, the comprehensive score of high-quality development of general provincial and municipal marine economy was between 0.3507 and 0.5185, including only two provinces (Zhejiang and Hainan), while the score of laggards marine economy was lower than 0.3507, including five provinces (Jiangsu, Fujian, Liaoning, Guangxi and Hebei). In 2019, the comprehensive level score of the high-quality development of the general type of provincial and municipal marine economy was between 0.3504 and 0.5344, including five provinces and one city (Tianjin, Fujian, Jiangsu, Zhejiang, Hainan and Liaoning), while the score of the laggards was lower than 0.3504, only two provinces (Guangxi and Hebei). Therefore, the difference between provinces and cities before the high-quality development of marine economy has been reduced, and “laggards” provinces tend to be closer to “general” and “leading” provinces. To be specific, Jiangsu and Zhejiang, two economically powerful provinces, urgently need to adjust the development concept of marine economy in the process of high-quality development and construction of marine economy and change from the pursuit of quantity to the pursuit of high-quality development, so as to truly realize healthy and sustainable high-quality development of marine economy. Liaoning and Hebei should, on the basis of the developed marine heavy industry, actively adjust and optimize the marine industrial structure, promote the balanced development of heavy and light marine industries and build a pattern of high-quality development led by marine high-tech industries. Fujian, Guangxi and Hainan should seize the opportunity of pilot free trade zones, expand ocean-related foreign trade, take the initiative to absorb domestic and 2019 2018 2017 Leading Guangdong, Shanghai, Shandong Guangdong, Shanghai, Guangdong, Shanghai, Shandong, Tianjin Tianjin General Tianjin, Fujian, Jiangsu, Zhejiang, Zhejiang, Hainan Zhejiang, Liaoning, Table 9. Hainan, Liaoning Guangdong, Hainan Division of provinces Laggards Guangxi, Hebei Jiangsu, Fujian, Liaoning, Fujian, Jiangsu, Guangxi, and cities of the Guangxi, Hebei Hebei three types foreign marine technology, strengthen the capacity of marine disaster prevention and MAEM post-disaster reconstruction and accelerate the high-quality development of the marine 4,1 economy. 5. Conclusions This paper designs and optimizes the comprehensive evaluation system for the high-quality development of the marine economy. The entropy-TOPSIS method is used to measure the subsystem levels (first-level indicators) and comprehensive levels of the high-quality development of the marine economy in 11 coastal provinces (or cities) of China from 2017 to 2019, and the spatio-temporal evolution rules are analyzed. The main conclusions are as follows: From the perspective of time, from 2017 to 2019, the comprehensive level of high-quality development of China’s marine economy is on the rise, and the number of “backward” provinces and cities in 11 coastal provinces (cities) decreases, while the number of “general” and “leading” provinces and cities increases. From the perspective of spatial dimension, different provinces and cities have different levels of high-quality development of marine economy. It is the manifestation that, Fujian, Guangdong and Jiangsu have a better social development support capability, Guangdong, Shandong and Tianjin are of the strong ability of marine economic base, Guangdong, Shandong and Shanghai are of marine science and technology driven effect significantly, and the green ocean economy development level of Tianjin, Shanghai and Guangdong is higher. On the whole, Guangdong, Shandong and Shanghai have advantages in the comprehensive level of high-quality development of marine economy. According to the above research conclusions, in order to actively promote the overall improvement of different subsystem levels and the coordinated improvement of high-quality development level of marine economy in different provinces and cities, the following policy suggestions are proposed. (1) It is necessary to attach importance to the idea of high-quality development of marine economy and promote the orderly transformation of the new development concept from the pursuit of quantity to quality. At present, the overall level of high-quality development of China’s marine economy is relatively low, with the national average level less than 0.5. Most coastal provinces (cities) still develop marine economy under the concept of quantity first, resulting in unsatisfactory relative indicators of marine economy and low level of high-quality development of marine economy. Therefore, the most fundamental and crucial strategy to effectively improve the quality of China’s marine economy development is to abandon the extensive and backward development model of marine economic development based only on gross domestic product. We should actively explore high-quality development paths for the marine economy in accordance with local conditions, formulate a scientific and reasonable regulation and management system for the marine economy and promote the transformation of China’s marine economic development from quantity-led to quality-led. (2) From the perspective of the whole region, we should implement the coordinated optimization strategy of high-quality development of marine economy in various provinces and cities so as to reduce the regional gap of high-quality development level of marine economy. The subsystem and comprehensive level of the high-quality development of China’s marine economy have different scores in different provinces and cities, and the differences among provinces and regions are quite obvious. To be specific, Guangdong, Shandong and Shanghai are in the leading position of high-quality marine economy development, while Guangxi, China’s marine Hebei have a large gap with other “leading” provinces. It is not conducive to the long-term economy health and sustainable stability of China’s marine economy. Therefore, We need to adopt a targeted strategy of coordinated regional development that optimizes the level of high- quality development of the marine economy. From the overall national level, while actively promoting the high-quality development of the marine economy in the 11 coastal provinces and cities, we should formulate policies for regional coordination and interaction. It’s able to comprehensively enhance the high-quality development of marine economy in coastal provinces and cities through various means, including spatial overflow of innovative achievements, interaction and exchange of efficient allocation of resources and sharing of experience in improving market mechanisms. In the end, we need to strengthen the marine economy while strengthening the weak and work together to raise the level of high-quality development of the marine economy. (3) It is necessary to formulate comprehensive policies to promote high-quality development of the marine economy under an all-dimensional framework, enhance the driving effect of scientific and technological innovation and intensify opening up to the outside world and share the benefits. The high-quality development level of marine economy is represented by multiple indicators of different subsystems, and different provinces and cities have different horizontal distribution in each subsystem of the high-quality development of marine economy. For example, although Guangdong and Shandong have a high comprehensive level of high- quality development of marine economy, Guangdong has a relatively poor performance in driving marine science and technology innovation, social development security and green marine sustainability. Therefore, it is necessary to improve the level of backward subsystems of marine economy in various provinces and cities through targeted quality improvement strategies. The state should give priority to improving and perfecting the level of backward subsystems, adjust the structure of the marine economy, increase the proportion of strategic emerging marine industries and high-end marine service industries, deepen the system of red lines for marine ecology, ensure economical development and centralized utilization and open up the cooperation and exchange of marine industries at a deeper level. In this way, we will comprehensively promote the comprehensive and coordinated improvement of various subsystems in the high-quality development of marine economy. References Bai, F., Lai, X. and Xiao, C. (2015), “Comprehensive evaluation model and empirical research on sustainable development of marine economy”, Science and Technology Management Research, Vol. 35 No. 3, pp. 59-62þ86. Colaço, A.F., Pagliuca, L.G., Romanelli, T.L. and Molin, J.P. (2020), “Economic viability, energy and nutrient balances of site-specific fertilisation for citrus”, Biosystems Engineering, Vol. 200 No. 12, pp. 138-156. Chen, S. and Chen, D. (2018), “Haze pollution, government governance and high-quality economic development”, Economic Research Journal, Vol. 53 No. 2, pp. 20-34. Di Qianbin, Shang, Q. and Yu, Z. (2020), “Research on coordinated development of marine economy complex system under the goal of high-quality development-A case study of liaoning province”, Ocean Development and Management, Vol. 37 No. 7, pp. 62-70. Du, T., Xie, X., Liang, H. and Huang (2014), “An, han quanfang. Comprehensive evaluation and spatial analysis of chongqing county economy based on entropy-TOPSIS and GIS”, Economic Geography, Vol. 34 No. 6, pp. 40-47. Gao, T., Chang, F. and Gao, S. (2018), “Research on the transformation and upgrading of the industrial MAEM structure of qingdao marine economy-analysis and evaluation based on the efficiency of 4,1 scientific and technological innovation”, Management Review, Vol. 30, p. 12. Ghosh, A. (2017), “How does banking sector globalization affect banking crisis?”, Journal of Financial Stability, Vol. 25 No. 48, pp. 70-82. Han, W. (2020), “Implementing the new development concept, promoting high-quality development and ensuring the complete building of a moderately prosperous society in all respects-a few insights from the central economic work conference”, Macroeconomic Management No. 1, pp. 1-4. Han, Z., Bo, L., Chen, M. and Li, D. (2019), “High-quality development of marine economy”, Journal of Ocean University of China (Social Sciences), No. 5, pp. 13-21. Jin, B. (2018), “Economic research on ‘quality development’”, China Industrial Economics, No. 4, pp. 5-18. Liang, H. (2019), “Comprehensive Measurement and spatio-temporal Evolution of the green development Level of China’s marine Economy”, Ocean Development and Management, Vol. 36 No. 5, pp. 73-83. Liu, B., Long, R., Zhu, C., Sun, X. and Pan, K. (2020), “Evaluation of high quality development level of marine economy in Jiangsu province”, Economic Geography, Vol. 40 No. 8, pp. 104-113. Mei, L. and Chen, Z. (2016), “The convergence analysis of regional growth differences in China: the perspective of the quality of economic growth”, Journal of Service Science and Management, Vol. 9 No. 6, pp. 453-476. Min, W. and Li, S. (2018), “Research on the measurement of the high-quality development level of Chinese economy in the New Era”, The Journal of Quantitative and Technical Economics, Vol. 35 No. 11, pp. 3-20. Ni, C., Chu, X. and Song, H. (2014), “Human capital, innovation capacity and quality of economic growth-based on Chinese provincial panel data from 2000 to 2013”, Global Journal of Management and Business, Vol. 14 No. 8, pp. 45-51. Pioch, S., Saussola, P. and Kilfoyleb, K. (2011), “Ecological design of marine construction for socio- economic benefits: ecosystem integration of a pipeline in coral reef area”, Procedia Environmental Sciences, Vol. 9 No. 4, pp. 148-152. Qin, L. and Shen, T. (2020), “Does scientific and technological innovation promote the high-quality development of China’s marine economy-based on the empirical test of the impact of scientific and technological innovation on the green total factor productivity of marine economy”, Science and Technology Progress and Policy, Vol. 37 No. 9, pp. 105-112. Ren, B. (2013), “Quality of economic growth: expansion of theoretical framework for economic growth”, Economic Perspectives No. 11, pp. 45-51. Research Group of Economic Research Institute of National Development and Reform Commission (2019), “Research on promoting high-quality economic development”, Macroeconomics No. 2, pp. 5-17þ91. Sun, P. and Song, L. (2019), “Estimation of China’s marine environmental Efficiency based on the Undesired Superefficiency-Malmquist panel Model”, China Population, Resources and Environment, Vol. 29 No. 2, pp. 43-51. Sun, K., Chai, R. and Chen, J. (2014), “Research on sustainable development Path of marine Economy based on coevolution Simulation”, China Population, Resources and Environment, Vol. 24 No. S3, pp. 395-398. Wang, Z. (2018), Research on Measurement and Early Warning of Green Development of Marine Economy in Bohai Rim Region, Liaoning Normal University, Dalian City. Wang, Z. and Jiang, G. (2019), “Research on the coordinated Response Relationship between marine Economy and information Technology in coastal provinces of China”, Resource Development and Market, Vol. 35 No. 3, pp. 347-352. Wang, Z., Guo, T. and Fan, Y. (2020), “Measurement of high-quality development level of China’s China’s marine marine economy”, Marine Economy, Vol. 10 No. 4, pp. 13-24. economy Weijiao, W. and Chunhui, S. (2020), “Sustainable development of basin economy and marine economy”, Journal of Coastal Research, Vol. 115 Special Issue No. 115, pp. 602-605. Wu, F., Gao, Q. and Liu, T. (2019), “Efficiency measurement of marine scientific and technological Innovation for marine economic Growth”, Statistics and Decisions, Vol. 35 No. 23, pp. 119-122. Yin, K., Zhou, S. and Xu, T. (2019), “Research on optimization of index system design and its inspection method: indicator design and expert assessment quality inspection”, Marine Economics and Management, Vol. 2 No. 1, pp. 1-28. Yu, D., Yang, T. and Yang, G. (2019), “Evaluation of the sustainable development capacity of Shanghai marine economy”, Ocean Development and Management, Vol. 36 No. 6, pp. 55-58þ66. Zhang, T. (2020), “Theoretical interpretation of high-quality development and research on measurement methods”, The Journal of Quantitative and Technical Economics, Vol. 37 No. 5, pp. 23-43. Zhao, J., Shi, D. and Deng, Z. (2019), “Research on the connotation of high-quality Development”, Research on Economics and Management, Vol. 40 No. 11, pp. 15-31. Zhao, C., Fu, Y. and Gao, Z. (2020), “Research on the connotation, measurement and cultivation path of artisan spirit under the background of high-quality development”, China Soft Science, No. 7, pp. 169-177. Corresponding author Shiwei Zhou can be contacted at: 523887825@qq.com For instructions on how to order reprints of this article, please visit our website: www.emeraldgrouppublishing.com/licensing/reprints.htm Or contact us for further details: permissions@emeraldinsight.com http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Marine Economics and Management Emerald Publishing

Measurement of the high-quality development level of China's marine economy

Download PDF
19 pages

Loading next page...
 
/lp/emerald-publishing/measurement-of-the-high-quality-development-level-of-china-s-marine-UyO3VWHNzr

References (36)

Publisher
Emerald Publishing
Copyright
© Xuemei Li, Shiwei Zhou, Kedong Yin and Huichao Liu
ISSN
2516-158X
DOI
10.1108/maem-10-2020-0004
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to measure the high-quality development level of China’s marine economy and analyze corresponding spatial and temporal distribution characteristic. Design/methodology/approach – Design and optimize the index system of high-quality development level of marine economy and use entropy and TOPSIS method for comprehensive evaluation. Findings – The research finds that from 2017 to 2019, the high-quality development tendency of China’s marine economy is on the rise, but the overall level is still low. The level of each subsystem has different distribution characteristics in different provinces and cities. Guangdong, Shandong and Shanghai have a high comprehensive level. According to the comprehensive level of high-quality development of marine economy, 11 coastal provinces are divided into three types: leading, general and backward. Research limitations/implications – This paper clarifies the temporal and spatial distribution law of high- quality development level of China’s marine economy, providing basis for promoting comprehensive and coordinated improvement of coastal provinces and cities. Originality/value – An indicator system for the high-quality development level of the marine economy has been established, including social development guarantee, marine economic foundation, marine science and technology drive and green marine sustainability. Keywords Marine economy, High quality index system, Entropy-TOPSIS method Paper type Research paper © Xuemei Li, Shiwei Zhou, Kedong Yin and Huichao Liu. Published in Marine Economics and Management. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full Marine Economics and Management attribution to the original publication and authors. The full terms of this licence may be seen at http:// creativecommons.org/licences/by/4.0/legalcode pp. 23-41 Emerald Publishing Limited Funding: This study was supported by the National Natural Science Foundation of China (41701593) 2516-158X and a key project of the National Social Science Foundation of China (16AZD018). DOI 10.1108/MAEM-10-2020-0004 1. Introduction MAEM General Secretary Xi Jinping has pointed out that “the ocean is a strategic place for high- 4,1 quality development”. As an important part of the national economy, the gross ocean product in 2019 reached 8.9415 trillion yuan, accounting for 9% of the GDP and an increase of 6.2% over the 8.3415 trillion yuan in 2018. The contribution rate of marine economy to the growth of the national economy is as high as 6.53%. In 2012, the added value of the marine tertiary industry surpassed that of the marine secondary industry for the first time, and the marine industrial structure realized an important transformation from “second, third and first” to “third, second and first”. In 2015, the marine tertiary industry accounted for more than 50% of the gross ocean product for the first time, and the transformation and upgrading of the marine industrial structure achieved remarkable results. The reasonable growth of “quantity” of marine economic development provides the basic guarantee for the steady improvement of “quality”. High-quality development of marine economy has been a new driving force to promote high-quality development of national economy, a “blue engine” of high-quality economic development, and a top priority in the strategic construction of maritime power. Under the background of the new era, with the land resources development intensity gradually saturated, developing the ocean and managing the ocean has become the only way to breed new economic industries, create innovative growth poles and build a new barrier for high-quality development. However, China’s marine economic development still has many problems that cannot be ignored and need to be solved urgently. It includes that traditional marine industries are too many and too excessive, emerging marine industries are facing downward pressure, the development of light and heavy marine industries is unbalanced and the marine industrial structure needs to be optimized. The development model of marine economy is mainly based on extensive and predatory development and capital driving. Offshore pollution is quite serious, the decline of biological resources has not been fundamentally improved, the governance system of marine ecological environment needs to be improved and the sustainable development of marine industry needs to be strengthened. The time fluctuation and space difference of marine labor productivity are large, the conversion rate of marine scientific and technological achievements is low and the efficiency of marine economic development needs to be improved. The high-quality development of marine economy is of great strategic significance to the construction of maritime power and modernized economic system in China. State leaders and relevant departments at all levels attach great importance to the high-quality development of the marine economy. In October 2017, the 19th National Congress of the Communist Party of China first proposed “high-quality development” for the economy. In January 2018, the National marine Work Conference pointed out that China should help the construction of a modernized economic system and promote the development of the marine economy to a higher quality by improving the capacity of monitoring and evaluating the operation of the marine economy, enriching the marine economic management policy tools, enhancing the capacity of driving marine innovation and speeding up the construction of marine economy demonstration zones. In March 2018, General Secretary Xi Jinping emphasized that “ocean is a strategic place for high-quality development” when he attended the review by the Shandong delegation at the first session of the 13th National People’s Congress. In August 2018, the Ministry of Natural Resources and the Industrial and Commercial Bank of China jointly issued the implementation opinions on promoting high- quality development of the marine economy, which clearly stated that priority should be given to supporting the transformation and upgrading of traditional marine industries, the cultivation and growth of emerging marine industries, the construction of major sea-related infrastructure and the green development of the marine economy and strengthening financial support for the three major marine economic circles and “the Belt and Road” financial support for maritime cooperation. In October 2019, General Secretary Xi Jinping China’s marine pointed out that the pace of innovation in marine science and technology should be economy accelerated, the ability to develop marine resources should be enhanced and strategic emerging marine industries should be nurtured and strengthened. We should promote maritime connectivity and practical cooperation in various fields and actively develop the “Blue Partnership”. In government work report delivered at the third session of the 13th National People’s Congress in May 2020, Premier Li Keqiang pointed out that efforts should be made to further promote the development of the Guangdong-Hong Kong-Macao Greater BayArea, andthe integrated developmentofthe YangtzeRiver Deltadrawupanoutline for ecological protection and high-quality development of the Yellow River Basin and develop the marine economy. Based on the above analysis, this paper will combine the new requirements and new ideas of China’s high-quality economic development in the new era with the existing problems of China’s marine economic construction, clarifies the connotation and mechanism of high- quality development of marine economy and scientifically establishes and rationally optimizes the indicator system of high-quality development of marine economy. The entropy- TOPSIS method was used to measure the high-quality development level of marine economy in 11 coastal provinces (or cities) in China from 2017 to 2019. The contents of this paper are as follows: first, there is a comprehensive review of the current research on the high quality development level of marine economy at home and abroad. Second, it clarifies the connotation and mechanism of high-quality development of marine economy, designs the index system of high-quality development of marine economy and introduces the entropy-TOPSIS method and data sources. Finally, it measures the measurement results of each subsystem and comprehensive level of high-quality economic development in 11 coastal provinces (or cities) in China, analyzes its spatial distribution law and proposes targeted policy enlightenment. 2. Literature review Quantity and quality are two closely related and distinctive dimensions in the process of macroeconomic development. “Quantity” emphasizes the quantitative expansion in speed and scale in the process of economic growth, while “quality” focuses on the improvement of economic development from three aspects: process, result and prospect (Ren, 2013). Pointed out in the report to the Party’s 19, China’s economy has the high-quality development stage of rapid growth stage as a period of transitional development and growth slowdown. China’s economy depends more on the quality and efficiency of economic growth than on quantity and speed (Mei and Chen, 2016); growth quantitative index such as GDP, national income is no longer the only focus, but gradually by the number of attention to focus on quality, to promote the construction of a resource-conserving and environment-friendly society (Ni et al.,2014; Ghosh, 2017; Colaco et al., 2020). In the new era, high-quality economic development in China is an active choice to adapt to the new normal of economic development. That is the transformation of economic growth from high-speed to medium-high speed, the optimization of economic structure to medium-high end and the transformation of economic growth driver to innovation- driven (Jin, 2018; Han, 2020). High-quality economic development is the fundamental embodiment of the five development concepts of “innovative, coordinated, green, open and share”. It is also the development that meets the people’s needs for a better life in all aspects (Chen and Chen, 2018; Zhang, 2020; Zhao et al., 2020). High quality and economic development is the inevitable requirement to adapt to the changing social principal contradictions of our country. It requires the establishment of accurate product quality standards, the production of middle and high-end products, the realization of economic growth based on integrity, efficiency, balance and ecology and the promotion of regional economic development of synergy, completeness, inclusiveness and openness (Zhao et al., 2019; Research Group of Economic Research Institute of National Development and Reform Commission, 2019). Focusing on the MAEM marine field, high-quality development of marine economy is a high-efficiency, stable and 4,1 sustainable development. Scientific and technological innovation should be the fundamental driving force to promote high-quality development of marine economy. And institutional innovation should be the basis to guarantee and promote high-quality development of marine economy (Han et al., 2019). With the development of marine economy high-quality research gradually transition from theory to practice analysis, single measurement indexes such as intermediate input output rate, investment efficiency, labor productivity and total factor productivity are one-sided and limited, which cannot comprehensively reveal the whole picture of high-quality development level of marine economy in a certain region (Gao et al., 2018; Wu et al., 2019; Sun and Song, 2019). Therefore, it has become a research focus to comprehensively evaluate the high-quality development of the marine economy by constructing index systems. These index systems have rich and diverse evaluation perspectives and measure indicators with their own characteristics. Thus, it improves the limitations of using a single index to represent the high- quality development level of the economy. Specifically, from the perspective of sustainable development of marine economy, ecological, social and economic interests should be taken into account when measuring the sustainable development ability of marine economy (Pioch et al., 2011), and a sustainable evaluation system of marine economy based on three subsystems of marine economy, marine society and marine resources and environment should be built (Sun et al., 2014; Bai et al., 2015; Yu et al., 2019; Wang et al., 2020; Weijiao and Chunhui, 2020). From the perspective of green development of the marine economy, the evaluation index system of green development of the marine economy is constructed from three perspectives of economic growth, resource utilization and social development, and the green development index of the marine economy is measured to analyze the temporal and spatial differences (Wang, 2018; Liang, 2019). From the perspective of coordinated development of marine economy, it clarifies the coordinated development factors of marine economic system, land economic system, ecological environment system and marine science and technology system, constructs a multi-level index system and explores the degree and path of coordinated development of marine economy (Wang and Jiang, 2019; Di Qianbin et al., 2020). A large number of the above researches have focused on the measurement and evaluation of the high-quality development of marine economy from a certain angle, but few studies have quantified the comprehensive level of the high-quality development of marine economy through the construction of an index system. From the perspective of “quality”, the high- quality development of marine economy reveals the level of quality and quality of marine economic performance. Its core is quality, and its main body is marine economy. It focuses on the level of quality that reflects marine economic performance from the perspective of “development”. At the same time, “high” highlights new ideas and new requirements, emphasizing the advanced level of quality in the process of marine economic construction (Min and Li, 2018). Therefore, the comprehensive evaluation system for high-quality development of marine economy directly guides the work of marine economy. Thus, it not only covers multiple levels, such as long-term and medium-term, macro and micro but also includes multiple sub-evaluation systems, such as input and output. At the same time, we need to take high quality as the evaluation guide and standard. We should incorporate such issues as the coupling of sea population system, the vulnerability of marine economy, the carrying capacity of marine resources and environment, the overall planning of land and sea, the interaction between marine resources system and economic system and the efficiency of marine ecology into the high-quality evaluation system of marine economy (Liu et al., 2020; Wang et al., 2020; Qin and Shen, 2020; Li et al., 2020). To sum up, the high-quality development of marine economy centers on economic efficiency, marine resources and marine industry. However, the existing research focuses on basic theoretical research, and unified research framework and evaluation system has not China’s marine been formed. Therefore, the establishment of a comprehensive evaluation system for the economy high-quality development of marine economy, the exploration of the mechanism of innovation-driven high-quality development of marine economy and the proposal of specific implementation paths for the high-quality development of marine economy are conducive to the improvement of the overall development level of China’s marine economy and are of great practical value in supporting the deepening implementation of the national strategy of maritime power. 3. Measurement of the high quality development level of China’s marine economy: connotation, system and method This chapter clarifies the connotation and characteristics of high-quality development of marine economy and identifies indicators reflecting the high-quality development of the marine economy. It uses the method of target layers constructed index system of marine economy development of high quality, expert assignment through single indexes inspection and effectiveness of screening indicators and construction of index system of marine economy development of high quality. 3.1 Connotation of high-quality development of marine economy This paper argues that to understand the connotation of high-quality development of marine economy, it is necessary to start from the two dimensions of “quality” and “quantity” and consider the connotation of high-quality development of marine economy and the development foundation and dynamic mechanism of marine economy. High-quality development of the marine economy means that while achieving a certain “quantitative” growth, the marine economy constantly improves the comprehensive development level of the marine economy, continues to optimize the marine industry structure, rationally improves marine social welfare distribution, speeds up the balance state of marine ecological environment, steps up efforts to popularize marine culture in a step-by-step manner and effectively enhances the capacity of marinescienceandtechnologyinnovationdrive.Thegoalofhigh-qualitydevelopmentofmarine economy is to achieve a dynamic balance between the system of “marine economy” and the system of “marine society-marine ecology-marine culture-marine science and technology”,to promotethetransformationofthequality,efficiencyandpowerofmarineeconomicdevelopment and to promote the improvement of the quality and efficiency of marine economic development. High-quality development of marine economy is characterized by stability, sustainability, coordination and long-term development. The high-quality development of marine economy is reflected in the transformation of development mode from extensive to intensive, the transformation of development impetus from production scale expansion to scientific and technological innovation and the transformation of resource factors to land-sea integration and efficient allocation. This is embodied in the more prominent export-oriented characteristics of marine economy, higher production efficiency of input factors of marine economy and better quality of human capital. The marine economy is more innovation- driven, and the contribution rate of marine scientific and technological progress is higher. The marine ecological environment is greener, and the capability of pollution control and environmental protection is stronger. 3.2 Total identification of high quality development index of marine economy The design principle of index system is based on the principles of scientificity and integrity, consideration and comprehensiveness, potentiality and prospectiveness and comparability and operability. From the four aspects of social development guarantee ability, marine economy basic ability, marine science and technology driving ability and green ocean sustainable ability, 27 indicators are summarized in this paper. The social development guarantee ability refers to the basic guarantee ability of the MAEM macro-environment of economic and social development for the high-quality development of 4,1 marine economy. Specifically, it includes per capita GDP, consumer price index, natural growth rate of population, urbanization rate, social endowment insurance coverage rate of urban and rural residents, energy consumption per unit GDP and intensity of R&D expenditure input of industrial enterprises above designated size. The basic capacity of marine economy refers to the organic unity of the difference of quantity, scale and quality of marine economy. The quantity scale of marine economy reflects the development volume and level of marine economy from the macro level. The difference of marine economy quality reflects the marine industrial structure and the importance of marine economy. Specifically, they include the proportion of GOP in GDP, the proportion of marine emerging industries’ added value in GOP, the growth rate of gross ocean product, the proportion of marine tertiary industry’s added value in GOP, the elasticity coefficient of marine tertiary industry’s added value, marine labor productivity and foreign trade dependence. The driving capacity of marine science and technology refers to the intensity of marine science and technology progress and innovation to generate power for the development of marine economy and enhance benefits. It includes marine science and technology progress contribution rate, marine scientific and technological achievements to realize industrialization of output per capita, marine science and technology personnel to undertake marine scientific research subject number, marine science and technology patent license number, number of marine science and technology publishing, marine professionals per capita has amount of science and technology activities and marine professional student number per capita marine education investment funds. Green ocean sustainability refers to the ability of marine ecological environment to support the high-quality development of marine economy, so as to decouple the growth of marine economy from the overload of marine resources. It includes marine crude output intensity (unit area of marine oil production), marine fishing intensity (unit area of the ocean catches), marine disasters direct economic loss of strength (direct economic loss of marine disasters of the area of the unit area), the sea pollution discharge intensity (unit coastline length of straight row of sea pollution in sewage), environmental governance investment intensity (unit area of the environmental governance investment) and unit of marine nature reserve of pollution control projects. 3.3 Construction of high quality development index system for marine economy In this paper, 10 experts were invited based on the Delphi method to assign 1–10 points to 27 second-level indicators under 5 first-level indicators according to the importance of indicators. The results of validity test and consistency test (Yin et al., 2019) for expert assignments of a single indicator are shown in Tables 1 and 2. According to Table 1, at the significance level of is α ¼ 0:005, the absolute value of all test values is less than the critical value of is t ð10− 2Þ¼ 2:355, so all expert assignments for 0:005 each indicator are valid. According to Tables 2 shows that under the level of significance level is α ¼ 0:005, 10 indexes of the test value is greater than the critical value of 2.355, so as to eliminate the above 10 indexes. They include the consumer price index, the urbanization rate, the intensity of R&D expenditure input, marine productivity, foreign trade dependence, marine scientific and technological achievements to realize industrialization of output per capita, number of marine science and technology publishing, marine professional student number per capita marine education investment funds, marine crude output intensity and unit of marine nature reserve of pollution control projects. Therefore, the indicator system of high-quality development of marine economy is shown in Table 3. China’s marine economy Table 1. Validity test of expert assignment of a single indicator Expert 1 Expert 2 Expert 3 Expert 4 Expert 5 Expert 6 Expert 7 Expert 8 Expert 9 Expert 10 GDP per capita 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Consumer price Index 1.2139 0.9026 0.9026 0.5914 0.5914 0.2801 0.9649 0.9649 1.2761 1.2761 Natural population growth rate 1.1212 1.1212 0.2587 0.2587 0.2587 0.2587 0.2587 0.6037 0.6037 2.3286 Urbanization rate 1.2176 1.2176 1.2176 0.9585 0.5958 0.5958 0.8549 0.8549 0.8549 0.8549 Social endowment insurance coverage 1.9378 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.5855 1.5855 Energy consumption per unit of GDP 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 The intensity of R&D expenditure input 1.3393 1.0603 1.0603 0.5022 0.5022 0.3348 0.8929 0.8929 1.1719 1.1719 GOP/GDP 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 The value of marine emerging industries /GOP 1.0279 1.0279 1.0279 0.1142 0.1142 0.1142 0.1142 0.1142 0.1142 2.3984 Growth rate of gross marine product 1.1619 1.1619 0.1936 0.1936 0.1936 0.1936 0.1936 0.1936 1.7428 1.7428 The value of marine tertiary industry/GOP 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Elasticity coefficient of marine tertiary industry 0.7591 0.7591 0.7591 0.0690 0.0690 0.0690 0.0690 0.0690 0.0690 2.6913 Marine productivity 1.4643 1.1931 1.1931 0.6508 0.4339 0.7050 0.7050 0.7050 0.9762 0.9762 Dependence on foreign trade 1.8974 0.3162 0.3162 0.3162 0.3162 0.3162 0.3162 1.2649 1.2649 1.2649 Contribution of marine technological 1.8974 1.8974 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 Marine technological achievements output 2.1118 1.1062 0.1006 0.1006 0.1006 0.1006 0.9050 0.9050 0.9050 0.9050 Undertaking marine research projects per 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 capita Ocean technology patents authorized 1.5855 1.5855 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.9378 Marine technology papers published 1.3506 1.3506 1.0570 0.7634 0.4111 0.7047 0.7047 0.7047 0.9983 0.9983 Per capita funds for technological activities 1.9378 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 0.1762 1.5855 1.5855 Per capita marine education input 1.3059 1.3059 0.2176 0.2176 0.2176 0.2176 0.2176 0.8706 0.8706 1.9588 Intensity of offshore oil production 1.1062 1.1062 1.1062 0.1006 0.1006 0.1006 0.1006 0.9050 0.9050 1.9106 Intensity of marine fishing 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Intensity of direct economic losses 1.8974 1.8974 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 0.4743 Intensity of sewage discharge from sea 2.2883 0.8581 0.8581 0.5721 0.5721 0.5721 0.5721 0.5721 0.5721 0.5721 pollution Investment in environmental governance 1.5000 1.5000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.5000 1.5000 Pollution control projects 2.1118 1.1062 0.1006 0.1006 0.1006 0.1006 0.9050 0.9050 0.9050 0.9050 MAEM Indicator t value Indicator t value 4,1 GDP per capita 2.3094 Contribution of marine technological 1.6330 Consumer price index 5.4000 Marine technological achievements output 3.1305 Natural population growth rate 2.3333 Undertaking marine research projects per 1.8974 capita Urbanization rate 4.4980 Ocean technology patents authorized 1.8974 Social endowment insurance coverage 1.8974 Marine Technology papers published 4.9115 Energy consumption per unit of GDP 1.8974 Per capita funds for technological activities 1.8974 The intensity of R&D expenditure input 7.8779 Per capita marine education input 2.6833 GOP/GDP 1.8974 Intensity of offshore oil production 3.1305 The value of marine emerging industries/ 2.1320 Intensity of marine fishing 2.3094 GOP Growth rate of gross marine product 2.1909 Intensity of direct economic losses 1.6330 The value of marine tertiary industry/GOP 2.3094 Intensity of sewage discharge from sea 2.1381 pollution Elasticity coefficient of marine tertiary 1.6733 Investment in environmental governance 2.3094 Table 2. industry Consistency test of Marine productivity 4.7140 Pollution control projects 3.1305 expert assignment of a single indicator Dependence on foreign trade 2.5298 Target Criterion Factor Effect High-quality development of Social development GDP per capita þ marine economy security capacity Natural population growth rate þ Social endowment insurance þ coverage Energy consumption per unit of GDP Basic marine economic GOP/GDP þ capacity The value of marine emerging þ industries/GOP Growth rate of gross marine þ product The value of marine tertiary þ industry/GOP Elasticity coefficient of marine þ tertiary industry Marine technology driving Contribution of marine þ capability technological Undertaking marine research þ projects per capita Ocean technology patents þ authorized Per capita funds for technological þ activities Green ocean sustainability Intensity of marine fishing Intensity of direct economic losses Table 3. Intensity of sewage discharge Indicator system of from sea pollution high-quality Investment in environmental þ development of marine governance economy 3.4 Evaluation of the high-quality development level of China’s marine economy China’s marine In this paper, the entropy-TOPSIS method (Du et al., 2014) is used to measure the development economy ability and comprehensive level of various indicators in the high-quality development of China’s marine economy. The core idea is to use entropy method to determine the weight of each index on the basis of standardized treatment of each index, and then use TOPSIS method to conduct quantitative comparison of the high-quality development level of marine economy in different regions. The index weight value of entropy method is obtained according to the information reflected by the variation degree of each index data, which greatly reduces the interference of subjective factors when the index weights are given. By comparing the relative distance between each evaluation object and the optimal scheme the worst scheme, respectively, the TOPSIS method is characterized by strong operability and rationality of the results. Therefore, this paper adopts the entropy-TOPSIS method to carry out the comprehensive evaluation of the high-quality development level of China’s marine economy, and the results are more objective and reasonable. The specific implementation steps are as follows. First, in order to eliminate the difference between different indicators in terms of order of magnitude and dimension, the range method is used to standardize all indicators x in the ij high-quality development index system of marine economy: x  minðx Þ > ij ij ; x is a postive indicator > ij maxðx Þ minðx Þ ij ij y ¼ (2-1) ij > maxðx Þ x ij ij : ; x is a negative indicator ij maxðx Þ minðx Þ ij ij where, i denotes the coastal province (or city), j denotes the evaluation index and x and y , ij ij respectively, represent the original value and the standardized value of the evaluation index of the high quality development level of marine economy. The second step is to calculate the information entropy E of each evaluation index y in j ij the high-quality development index system of marine economy: 20 1 0 13 6B C B C7 1 y y ij ij 6B C B C7 E ¼ − *ln (2-2) 4@ n A @ n A5 P P ln n i¼1 y y ij ij i¼1 i¼1 The third step is to calculate the weight ω of each rating index y in the high-quality j ij development index system of marine economy: 1  E ω ¼ (2-3) ð1  E Þ j¼1 The fourth step is to construct the weighted matrix of the high-quality development index system of marine economy R: R ¼ðr Þ ; r ¼ ω 3 y (2-4) ij ij j ij n3m In the fifth step, the optimal scheme Q and the worst scheme Q are determined according to j j the weighted matrix R: þ Q ¼ðmaxr ; maxr ;  ; maxr Þ MAEM i1 i2 im (2-5) 4,1 Q ¼ ðminr ; minr ;  ; minr Þ i1 i2 im þ − The sixth step is to calculate the Euclidean distance d ; d between each evaluation object and the optimal scheme Q and the worst scheme Q , respectively: j j vffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 32 X u 2 þ þ d ¼ Q  r ij i j j¼1 vffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi (2-6) X 2 d ¼ Q  r ij j¼1 The seventh step is to calculate the relative proximity between each evaluation object and the ideal scheme C : i − C ¼ (2-7) þ − d þ d i i Among them, the relative proximity C is between 0 and 1. The larger the degree is, the better the high quality development level of marine economy in coastal provinces (or cities) is. On the contrary, the marine economy of coastal provinces (or cities) with high quality development level is worse. 4. Empirical analysis 4.1 Data sources With regard to data sources, the four secondary indicators of social development security capacity are all from the National Bureau of Statistics. Secondary indicators related to basic marine economic capacity, driving capacity of marine science and technology and sustainable green marine capacity are obtained from Statistics Bulletin of China’s Marine Economic (2017–2019), Statistics Bulletin of China’s Marine Economic of each province (or city) (2017–2019) and China Maritime Disaster Bulletin (2017–2019). 4.2 China’s marine economy develops at the sub-system level with high quality Based on the high quality development index system of marine economy, it took the lead in measuring the four subsystems of high quality development of marine economy in 11 coastal provinces (or cities) in China from 2017 to 2019. The results are shown in Tables 4–7. 2019 2018 2017 China 0.5330 0.5355 0.4818 Tianjin 0.2988 0.2871 0.6652 Hebei 0.3626 0.3741 0.3663 Liaoning 0.0864 0.0828 0.0841 Shanghai 0.6101 0.6057 0.6355 Jiangsu 0.6480 0.6370 0.6606 Zhejiang 0.5654 0.5982 0.5626 Fujian 0.8700 0.8555 0.7831 Shandong 0.4980 0.5734 0.7284 Table 4. Guangdong 0.7088 0.7312 0.6734 Measurement results of Guangxi 0.4559 0.5140 0.4212 social development security capability Hainan 0.5160 0.6102 0.4698 China’s marine 2019 2018 2017 economy China 0.4286 0.4958 0.1263 Tianjin 0.6328 0.6210 0.6555 Hebei 0.1826 0.2010 0.1583 Liaoning 0.1074 0.0746 0.3749 Shanghai 0.6049 0.5100 0.5871 Jiangsu 0.1220 0.0810 0.3664 Zhejiang 0.3591 0.3123 0.5930 Fujian 0.6369 0.5503 0.6216 Shandong 0.7076 0.5023 0.3721 Table 5. Guangdong 0.7187 0.5073 0.4177 Measurement results of Guangxi 0.1260 0.1446 0.0816 basic capacity of Hainan 0.3234 0.3711 0.5543 marine economy 2019 2018 2017 China 0.1770 0.1821 0.1774 Tianjin 0.3296 0.3443 0.0976 Hebei 0.0023 0.0043 0.0009 Liaoning 0.4827 0.4769 0.5814 Shanghai 0.6239 0.5840 0.7205 Jiangsu 0.2106 0.2266 0.2198 Zhejiang 0.0894 0.0981 0.0818 Fujian 0.0539 0.0459 0.0358 Table 6. Shandong 0.5997 0.5939 0.5749 Measurement results of Guangdong 0.5702 0.6169 0.7048 marine science and Guangxi 0.0008 0.0012 0.0019 technology driving Hainan 0.1477 0.1466 0.0675 capability 2019 2018 2017 China 0.8544 0.8842 0.8199 Tianjin 0.9526 0.9755 0.9897 Hebei 0.1139 0.2812 0.2710 Liaoning 0.8581 0.8858 0.9754 Shanghai 0.9776 0.9743 0.9867 Jiangsu 0.9445 0.9340 0.2365 Zhejiang 0.7775 0.9666 0.9670 Fujian 0.3807 0.1631 0.0914 Shandong 0.8943 0.9610 0.9828 Table 7. Guangdong 0.9964 0.9981 0.3163 Measurement results of Guangxi 0.9417 0.9366 0.9569 green marine Hainan 0.7058 0.7236 0.9604 sustainability 4.2.1 Ability to guarantee social development. According to Table 4, from 2017 to 2019, the scores of social development security capability for high-quality development of China’s marine economy are 0.4818,0.5355 and 0.5330, respectively, and the average scores of more than 11 coastal provinces (or cities) in 2018 and 2019 are 0.5336 and 0.5109, respectively. Among them, the social development to ensure minimum provinces and cities of Liaoning province, the score was 0.0841, 0.0828 and 0.0864, respectively. Fujian Province has the MAEM highest social development security capacity, which the scores are 0.7831, 0.8555 and 0.8700, 4,1 respectively. Furthermore, social development support capability of Fujian Province is about roughly 9.91 times that of Liaoning Province, which shows that the social development of China’s marine economy development high-quality guarantee ability exist large regional differences, different social development between the coastal provinces (or cities) co-evolution is weak. In 2017, Fujian Province (0.7831), Shandong Province (0.7284), Guangdong Province (0.6734), Tianjin City (0.6652) and Jiangsu Province (0.6606) scored the highest in social development security ability. In 2018, Fujian Province (0.8555), Guangdong Province (0.7312), Jiangsu Province (0.6370), Hainan Province (0.6102) and Shanghai City (0.6057) were the top five provinces (or cities) in terms of social security capability. In 2019, Fujian Province (0.8700), Guangdong Province (0.7088), Jiangsu Province (0.6480), Shanghai City (0.6101) and Zhejiang Province (0.5654) are the five provinces (or cities) with the highest score of social development security ability. Most of these provinces are located in the eastern marine economic circle and the southern marine economic circle. In addition, they have strong macroeconomic and social strength in the high-quality development of the marine economy. In the course of high-quality development of the marine economy, China has strong macroeconomic and social strength. At the same time, the input and output of factors such as productivity, labor force, social security and energy are coordinated, so they can better guarantee the high-quality development of the regional marine economy. In contrast, from 2017 to 2019, the two provinces (cities) with the lowest social security capability scores were Hebei Province and Liaoning Province, which are located in the northern ocean economic circle. Compared with the eastern and southern ocean economic circles, these two provinces have significant spatial imbalance and insufficient basic guarantee capability for high-quality development of the marine economy. 4.2.2 Basic capacity of marine economy. It can be seen from Table 5 that from 2017 to 2019, the score of basic marine economy capability for high-quality development of China’s marine economy is 0.1263, 0.4958 and 0.4286, respectively, which only exceeds the average level of 11 coastal provinces and cities (0.4348) in 2018. Among them, from 2017 to 2019, the provinces and cities with the lowest basic capacity of marine economy in Guangxi Province (0.0816) and Liaoning Province (0.0746, 0.1074), the provinces and cities with the highest scores of Tianjin City (0.6555, 0.6210) and Guangdong Province (0.7187), respectively. The province with the highest score is about 7.68 times that of the lowest, indicating that there are also obvious spatial differences in China’s basic capacity of marine economic. From 2017 to 2019, the five provinces (cities) with the highest score in marine economic basic ability changed from Tianjin, Fujian, Zhejiang, Shanghai and Hainan to Tianjin, Fujian, Shanghai, Guangdong and Shandong, and then to Guangdong, Shandong, Fujian, Tianjin and Shanghai. Especially, Guangdong province and Shandong Province, two big provinces with strong marine economy, gradually show their advantages, and the effect of marine economic growth control and marine industrial structure optimization is gradually obvious. But the northern marine economic circle of Liaoning Province, the eastern marine economic circle in Jiangsu Province and the southern Guangxi Province, have been in a backward position of marine economic circle. It is indicated that the marine economic development of the mechanism is not yet complete. These areas do not attach enough importance to the development of marine economy, so it is necessary to accelerate the development of local marine economy and balance the development level of the three marine economic circles. 4.2.3 Marine technology driving capability. According to Table 6, from 2017 to 2019, China’s marine science and technology driving ability score for high-quality development of marine economy is 0.1774, 0.1821 and 0.1770, respectively, which is always lower than the average level of 11 coastal provinces and cities. From 2017 to 2019, Guangdong, Shandong and Shanghai are the three provinces and cities with the highest marine science and China’s marine technology driving capacity, and their scores remain above 0.5. The two provinces and cities economy with the lowest scores were Hebei and Guangxi, respectively, and the difference in driving capacity of marine science and technology was as high as 700 times. Guangdong, Shandong and Shanghai depend on the good foundation of marine economy and the rising marine industrial structure, through introducing talents such as policy guidance and attaches great importance to the marine professional education and marine science and technology research and development. Especially, through the establishment and development of the Guangdong-Hong Kong-Macao Greater Bay Area, China (Shanghai) Pilot- Free Trade Zone Lin-Gang Special Area, Guangdong Province and Shanghai City have absorbed international advanced technology under the concept of “openness and sharing” and strengthened the driving force of marine science and technology for the high-quality development of the marine economy. On the contrary, the driving capacity of marine science and technology in other provinces and cities urgently needs to be improved. It is worth mentioning that the driving capacity of marine science and technology in other provinces and cities urgently needs to be improved, especially in Guangxi, Hebei and other provinces with relatively backward development of marine science and technology. These areas must attach great importance to the innovation of marine science and technology and break the extensive model of marine economic development. 4.2.4 Green marine sustainability. According to Table 7, from 2017 to 2019, the scores of green marine sustainability for high-quality development of China’s marine economy are 0.8199, 0.8842 and 0.8544, respectively, which are always higher than the average level of 11 coastal provinces and cities. It is indicated that the green and sustainable development of marine economy in coastal provinces and cities needs to be strengthened. Among them, from 2017 to 2019, the three provinces and cities with the highest green marine sustainability have changed from Tianjin, Shanghai and Shandong to Guangdong, Tianjin and Shanghai, all with scores above 0.95. The two provinces and cities with the lowest scores were Hebei and Fujian respectively, and there was an 8-fold difference in the green marine sustainability. After realizing the transformation of medium-high end marine industrial structure, Tianjin, Shanghai and Guangdong have intensified efforts in marine pollution control, enhanced marine disaster resilience and post-disaster reconstruction and achieved a relatively high level of sustainable green marine development. However, the specific reasons for the high green marine sustainability score are different. Thanks to the low intensity of marine fishing and the high intensity of investment in environmental governance, Guangdong has established an orderly system to guarantee ecological civilization to the greatest extent. Tianjin City and Shanghai City rely on the lower intensity of direct economic loss of marine disasters and the intensity of sewage discharge of marine pollution sources to carry out energy conservation and emission reduction work from the source. On the contrary, due to the relatively developed marine heavy industry, pollution prevention measures and marine disaster prevention measures are not fully implemented, Hebei Province needs to further improve its green marine sustainability. 4.3 The comprehensive level of China’s high-quality marine economy From 2017 to 2019, the empirical measurement results of the comprehensive level of high- quality development of China’s 11 coastal provinces (cities) are shown in Figure 1. It can be found that from 2017 to 2019, the comprehensive level scores of high-quality development of China’s 11 coastal provinces (cities) are within three ranges: [0.1665,0.7191], [0.1778,0.6914] and [0.1396,0.7171]. In 2017, the comprehensive score of high-quality development of China’s marine economy is 0.3287, which is far lower than the average score (0.4762) of 11 coastal provinces (or cities). Hebei received the lowest score (0.1665) and Shanghai received the highest score (0.7191), 0.8000 MAEM 4,1 0.7000 0.6000 0.5000 0.4000 0.3000 0.2000 0.1000 Figure 1. Comprehensive level of 0.0000 high-quality development of China’s marine economy 2019 2018 2017 indicating that the overall level of high-quality marine economic development in China in 2019 is relatively low. In 2018, China’s overall score of high-quality marine economic development was 0.4671, exceeding 11 coastal provinces (municipalities) high-quality marine economy development level of comprehensive scoring average (0.4346). The lowest score was Hebei (0.1778), while Guangdong surpassed Shanghai in the first place with a score of 0.6914. Its SD was 0.1678, indicating that China’s comprehensive level of high-quality marine economic development showed an upward trend in 2018, with certain spatial differences among different coastal provinces and cities. In 2019, China’s comprehensive score for high-quality marine economic development was 0.4387, slightly lower than the comprehensive score in 2018. The mean score and SD of the overall level of high-quality development of the marine economy of the 11 coastal provinces (cities) were 0.4424 and 0.1840, respectively. The lowest score was Hebei (0.1396), while the highest score was Guangdong (0.7171), indicating that China’s high-quality economic development in 2019 is inferior to that in 2018, and the spatial differences among the 11 coastal provinces (cities) have spread. Based on the relationship between the mean score ðMÞand SD ðSDÞ, this paper divides the high-quality development of marine economy in 11 coastal provinces (cities) into three types: leading type (over M þ 0.5 SD), general type (between M  0.5 SD and M þ 0.5 SD) and laggards (below M  0.5 SD). According to Table 8, the classification results of high-quality marine economic development in 11 coastal provinces (cities) from 2017 to 2019 can be obtained (Table 9). In 2017, the comprehensive score of high quality development of marine economy of leading provinces and cities was higher than 0.5599, including Shanghai, Shandong and 2019 2018 2017 Leading (0.5344,1.0000) (0.5185,1.0000) (0.5599,1.0000) Table 8. General (0.3504,0.5344) (0.3507,0.5185) (0.3923,0.5599) Division of the three types Laggards (0.0000,0.3504) (0.0000,0.3507) (0.0000,0.3923) Tianjin, whose comprehensive score of high-quality development of marine economy was China’s marine 0.7191, 0.6608 and 0.6088, respectively. economy In 2018, the comprehensive score of high quality development of marine economy of leading provinces and cities was higher than 0.5185. It is included Guangdong, Shanghai, Shandong and Tianjin, whose comprehensive score of high-quality development of marine economy was 0.6914, 0.6419, 0.6398 and 0.5313, respectively. In 2019, the comprehensive score of high-quality development of marine economy in leading provinces and cities was higher than 0.5344, It is included Guangdong, Shanghai and Shandong, which were 0.7171, 0.6869 and 0.6591, respectively. Guangdong province, Shandong Province, Tianjin City and Shanghai City have excellent comprehensive level of high-quality development of marine economy. In the development process of marine economy, they can not only attach importance to the improvement of quantity of marine economy growth but also the improvement of high-quality development level of marine economy, and their comprehensive performance is relatively excellent. Among them, Guangdong province has a rapid development momentum and is a “star” province with high-quality marine economy. In 2017, the comprehensive level score of high-quality development of marine economy in general types ranged from 0.3923 to 0.5599, including Zhejiang, Liaoning, Guangdong and Hainan, while the score of laggards was lower than 0.3923, including Fujian, Jiangsu, Guangxi and Hebei. In 2018, the comprehensive score of high-quality development of general provincial and municipal marine economy was between 0.3507 and 0.5185, including only two provinces (Zhejiang and Hainan), while the score of laggards marine economy was lower than 0.3507, including five provinces (Jiangsu, Fujian, Liaoning, Guangxi and Hebei). In 2019, the comprehensive level score of the high-quality development of the general type of provincial and municipal marine economy was between 0.3504 and 0.5344, including five provinces and one city (Tianjin, Fujian, Jiangsu, Zhejiang, Hainan and Liaoning), while the score of the laggards was lower than 0.3504, only two provinces (Guangxi and Hebei). Therefore, the difference between provinces and cities before the high-quality development of marine economy has been reduced, and “laggards” provinces tend to be closer to “general” and “leading” provinces. To be specific, Jiangsu and Zhejiang, two economically powerful provinces, urgently need to adjust the development concept of marine economy in the process of high-quality development and construction of marine economy and change from the pursuit of quantity to the pursuit of high-quality development, so as to truly realize healthy and sustainable high-quality development of marine economy. Liaoning and Hebei should, on the basis of the developed marine heavy industry, actively adjust and optimize the marine industrial structure, promote the balanced development of heavy and light marine industries and build a pattern of high-quality development led by marine high-tech industries. Fujian, Guangxi and Hainan should seize the opportunity of pilot free trade zones, expand ocean-related foreign trade, take the initiative to absorb domestic and 2019 2018 2017 Leading Guangdong, Shanghai, Shandong Guangdong, Shanghai, Guangdong, Shanghai, Shandong, Tianjin Tianjin General Tianjin, Fujian, Jiangsu, Zhejiang, Zhejiang, Hainan Zhejiang, Liaoning, Table 9. Hainan, Liaoning Guangdong, Hainan Division of provinces Laggards Guangxi, Hebei Jiangsu, Fujian, Liaoning, Fujian, Jiangsu, Guangxi, and cities of the Guangxi, Hebei Hebei three types foreign marine technology, strengthen the capacity of marine disaster prevention and MAEM post-disaster reconstruction and accelerate the high-quality development of the marine 4,1 economy. 5. Conclusions This paper designs and optimizes the comprehensive evaluation system for the high-quality development of the marine economy. The entropy-TOPSIS method is used to measure the subsystem levels (first-level indicators) and comprehensive levels of the high-quality development of the marine economy in 11 coastal provinces (or cities) of China from 2017 to 2019, and the spatio-temporal evolution rules are analyzed. The main conclusions are as follows: From the perspective of time, from 2017 to 2019, the comprehensive level of high-quality development of China’s marine economy is on the rise, and the number of “backward” provinces and cities in 11 coastal provinces (cities) decreases, while the number of “general” and “leading” provinces and cities increases. From the perspective of spatial dimension, different provinces and cities have different levels of high-quality development of marine economy. It is the manifestation that, Fujian, Guangdong and Jiangsu have a better social development support capability, Guangdong, Shandong and Tianjin are of the strong ability of marine economic base, Guangdong, Shandong and Shanghai are of marine science and technology driven effect significantly, and the green ocean economy development level of Tianjin, Shanghai and Guangdong is higher. On the whole, Guangdong, Shandong and Shanghai have advantages in the comprehensive level of high-quality development of marine economy. According to the above research conclusions, in order to actively promote the overall improvement of different subsystem levels and the coordinated improvement of high-quality development level of marine economy in different provinces and cities, the following policy suggestions are proposed. (1) It is necessary to attach importance to the idea of high-quality development of marine economy and promote the orderly transformation of the new development concept from the pursuit of quantity to quality. At present, the overall level of high-quality development of China’s marine economy is relatively low, with the national average level less than 0.5. Most coastal provinces (cities) still develop marine economy under the concept of quantity first, resulting in unsatisfactory relative indicators of marine economy and low level of high-quality development of marine economy. Therefore, the most fundamental and crucial strategy to effectively improve the quality of China’s marine economy development is to abandon the extensive and backward development model of marine economic development based only on gross domestic product. We should actively explore high-quality development paths for the marine economy in accordance with local conditions, formulate a scientific and reasonable regulation and management system for the marine economy and promote the transformation of China’s marine economic development from quantity-led to quality-led. (2) From the perspective of the whole region, we should implement the coordinated optimization strategy of high-quality development of marine economy in various provinces and cities so as to reduce the regional gap of high-quality development level of marine economy. The subsystem and comprehensive level of the high-quality development of China’s marine economy have different scores in different provinces and cities, and the differences among provinces and regions are quite obvious. To be specific, Guangdong, Shandong and Shanghai are in the leading position of high-quality marine economy development, while Guangxi, China’s marine Hebei have a large gap with other “leading” provinces. It is not conducive to the long-term economy health and sustainable stability of China’s marine economy. Therefore, We need to adopt a targeted strategy of coordinated regional development that optimizes the level of high- quality development of the marine economy. From the overall national level, while actively promoting the high-quality development of the marine economy in the 11 coastal provinces and cities, we should formulate policies for regional coordination and interaction. It’s able to comprehensively enhance the high-quality development of marine economy in coastal provinces and cities through various means, including spatial overflow of innovative achievements, interaction and exchange of efficient allocation of resources and sharing of experience in improving market mechanisms. In the end, we need to strengthen the marine economy while strengthening the weak and work together to raise the level of high-quality development of the marine economy. (3) It is necessary to formulate comprehensive policies to promote high-quality development of the marine economy under an all-dimensional framework, enhance the driving effect of scientific and technological innovation and intensify opening up to the outside world and share the benefits. The high-quality development level of marine economy is represented by multiple indicators of different subsystems, and different provinces and cities have different horizontal distribution in each subsystem of the high-quality development of marine economy. For example, although Guangdong and Shandong have a high comprehensive level of high- quality development of marine economy, Guangdong has a relatively poor performance in driving marine science and technology innovation, social development security and green marine sustainability. Therefore, it is necessary to improve the level of backward subsystems of marine economy in various provinces and cities through targeted quality improvement strategies. The state should give priority to improving and perfecting the level of backward subsystems, adjust the structure of the marine economy, increase the proportion of strategic emerging marine industries and high-end marine service industries, deepen the system of red lines for marine ecology, ensure economical development and centralized utilization and open up the cooperation and exchange of marine industries at a deeper level. In this way, we will comprehensively promote the comprehensive and coordinated improvement of various subsystems in the high-quality development of marine economy. References Bai, F., Lai, X. and Xiao, C. (2015), “Comprehensive evaluation model and empirical research on sustainable development of marine economy”, Science and Technology Management Research, Vol. 35 No. 3, pp. 59-62þ86. Colaço, A.F., Pagliuca, L.G., Romanelli, T.L. and Molin, J.P. (2020), “Economic viability, energy and nutrient balances of site-specific fertilisation for citrus”, Biosystems Engineering, Vol. 200 No. 12, pp. 138-156. Chen, S. and Chen, D. (2018), “Haze pollution, government governance and high-quality economic development”, Economic Research Journal, Vol. 53 No. 2, pp. 20-34. Di Qianbin, Shang, Q. and Yu, Z. (2020), “Research on coordinated development of marine economy complex system under the goal of high-quality development-A case study of liaoning province”, Ocean Development and Management, Vol. 37 No. 7, pp. 62-70. Du, T., Xie, X., Liang, H. and Huang (2014), “An, han quanfang. Comprehensive evaluation and spatial analysis of chongqing county economy based on entropy-TOPSIS and GIS”, Economic Geography, Vol. 34 No. 6, pp. 40-47. Gao, T., Chang, F. and Gao, S. (2018), “Research on the transformation and upgrading of the industrial MAEM structure of qingdao marine economy-analysis and evaluation based on the efficiency of 4,1 scientific and technological innovation”, Management Review, Vol. 30, p. 12. Ghosh, A. (2017), “How does banking sector globalization affect banking crisis?”, Journal of Financial Stability, Vol. 25 No. 48, pp. 70-82. Han, W. (2020), “Implementing the new development concept, promoting high-quality development and ensuring the complete building of a moderately prosperous society in all respects-a few insights from the central economic work conference”, Macroeconomic Management No. 1, pp. 1-4. Han, Z., Bo, L., Chen, M. and Li, D. (2019), “High-quality development of marine economy”, Journal of Ocean University of China (Social Sciences), No. 5, pp. 13-21. Jin, B. (2018), “Economic research on ‘quality development’”, China Industrial Economics, No. 4, pp. 5-18. Liang, H. (2019), “Comprehensive Measurement and spatio-temporal Evolution of the green development Level of China’s marine Economy”, Ocean Development and Management, Vol. 36 No. 5, pp. 73-83. Liu, B., Long, R., Zhu, C., Sun, X. and Pan, K. (2020), “Evaluation of high quality development level of marine economy in Jiangsu province”, Economic Geography, Vol. 40 No. 8, pp. 104-113. Mei, L. and Chen, Z. (2016), “The convergence analysis of regional growth differences in China: the perspective of the quality of economic growth”, Journal of Service Science and Management, Vol. 9 No. 6, pp. 453-476. Min, W. and Li, S. (2018), “Research on the measurement of the high-quality development level of Chinese economy in the New Era”, The Journal of Quantitative and Technical Economics, Vol. 35 No. 11, pp. 3-20. Ni, C., Chu, X. and Song, H. (2014), “Human capital, innovation capacity and quality of economic growth-based on Chinese provincial panel data from 2000 to 2013”, Global Journal of Management and Business, Vol. 14 No. 8, pp. 45-51. Pioch, S., Saussola, P. and Kilfoyleb, K. (2011), “Ecological design of marine construction for socio- economic benefits: ecosystem integration of a pipeline in coral reef area”, Procedia Environmental Sciences, Vol. 9 No. 4, pp. 148-152. Qin, L. and Shen, T. (2020), “Does scientific and technological innovation promote the high-quality development of China’s marine economy-based on the empirical test of the impact of scientific and technological innovation on the green total factor productivity of marine economy”, Science and Technology Progress and Policy, Vol. 37 No. 9, pp. 105-112. Ren, B. (2013), “Quality of economic growth: expansion of theoretical framework for economic growth”, Economic Perspectives No. 11, pp. 45-51. Research Group of Economic Research Institute of National Development and Reform Commission (2019), “Research on promoting high-quality economic development”, Macroeconomics No. 2, pp. 5-17þ91. Sun, P. and Song, L. (2019), “Estimation of China’s marine environmental Efficiency based on the Undesired Superefficiency-Malmquist panel Model”, China Population, Resources and Environment, Vol. 29 No. 2, pp. 43-51. Sun, K., Chai, R. and Chen, J. (2014), “Research on sustainable development Path of marine Economy based on coevolution Simulation”, China Population, Resources and Environment, Vol. 24 No. S3, pp. 395-398. Wang, Z. (2018), Research on Measurement and Early Warning of Green Development of Marine Economy in Bohai Rim Region, Liaoning Normal University, Dalian City. Wang, Z. and Jiang, G. (2019), “Research on the coordinated Response Relationship between marine Economy and information Technology in coastal provinces of China”, Resource Development and Market, Vol. 35 No. 3, pp. 347-352. Wang, Z., Guo, T. and Fan, Y. (2020), “Measurement of high-quality development level of China’s China’s marine marine economy”, Marine Economy, Vol. 10 No. 4, pp. 13-24. economy Weijiao, W. and Chunhui, S. (2020), “Sustainable development of basin economy and marine economy”, Journal of Coastal Research, Vol. 115 Special Issue No. 115, pp. 602-605. Wu, F., Gao, Q. and Liu, T. (2019), “Efficiency measurement of marine scientific and technological Innovation for marine economic Growth”, Statistics and Decisions, Vol. 35 No. 23, pp. 119-122. Yin, K., Zhou, S. and Xu, T. (2019), “Research on optimization of index system design and its inspection method: indicator design and expert assessment quality inspection”, Marine Economics and Management, Vol. 2 No. 1, pp. 1-28. Yu, D., Yang, T. and Yang, G. (2019), “Evaluation of the sustainable development capacity of Shanghai marine economy”, Ocean Development and Management, Vol. 36 No. 6, pp. 55-58þ66. Zhang, T. (2020), “Theoretical interpretation of high-quality development and research on measurement methods”, The Journal of Quantitative and Technical Economics, Vol. 37 No. 5, pp. 23-43. Zhao, J., Shi, D. and Deng, Z. (2019), “Research on the connotation of high-quality Development”, Research on Economics and Management, Vol. 40 No. 11, pp. 15-31. Zhao, C., Fu, Y. and Gao, Z. (2020), “Research on the connotation, measurement and cultivation path of artisan spirit under the background of high-quality development”, China Soft Science, No. 7, pp. 169-177. Corresponding author Shiwei Zhou can be contacted at: 523887825@qq.com For instructions on how to order reprints of this article, please visit our website: www.emeraldgrouppublishing.com/licensing/reprints.htm Or contact us for further details: permissions@emeraldinsight.com

Journal

Marine Economics and Management – Emerald Publishing

Published: Jul 9, 2021

Keywords: Marine economy; High quality index system; Entropy-TOPSIS method

There are no references for this article.