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M. Nerlove (1958)
Distributed lags and Estimation of Long-Run Supply and Demand Elasticities: Theoretical ConsiderationsAmerican Journal of Agricultural Economics, 40
J. Mariyono (2019)
Farmer training to simultaneously increase productivity of soybean and rice in IndonesiaInternational Journal of Productivity and Performance Management
(2008)
Economic analysis of cotton planting area decision by Chinese cotton farmers
Zhang Yingjun, Ren Jizhou, Wang Mingli, Yan Gaowen (2013)
Discussion on the Position and Development Distribution of Forage Industry in China's Agricultural Industry StructureJournal of Agricultural Science and Technology, 15
(2012)
Study on the measurement and determination of forage and supply of forage grass in China
(2006)
Chinese sugar supply reaction
M. Arak (1969)
ESTIMATION OF ASSYMETRIC LONGRUN SUPPLY FUNCTIONS: THE CASE OF COFFEECanadian Journal of Agricultural Economics-revue Canadienne D Agroeconomie, 17
J. Han (2019)
Prioritizing agricultural, rural development and implementing the rural revitalization strategyChina Agricultural Economic Review
R. Just (1974)
Econometric Analysis of Production Decisions with Government Intervention: The Case of the California Field Crops
(2009)
The problems faced by China's alfalfa industry and its countermeasures
(2015)
Study on the supply response of beef products in China based on Nerolve model
Xiwen Chen (2019)
The core of China’s rural revitalization: exerting the functions of rural areaChina Agricultural Economic Review
C. Shumway (1983)
Supply, Demand, and Technology in a Multiproduct Industry: Texas Field CropsAmerican Journal of Agricultural Economics, 65
M. Blake, T. Clevenger (1984)
A Linked Annual And Monthly Model For Forecasting Alfalfa Hay PricesWestern Journal of Agricultural Economics, 09
J. Min, H. Kaiser (2014)
A note on the role of price risk in soya bean supply functionsApplied Economics Letters, 21
(2016)
A research on influencing factors of milk supply based on Nerlovian model
K. Knapp (1987)
Dynamic Equilibrium in Markets for Perennial CropsAmerican Journal of Agricultural Economics, 69
(2017)
Developing an agro-grassland think tank system to assist agricultural structure transformation in China
(2017)
Empirical analysis of alfalfa subsidies' effect based on PMP model: a case study of Huanghua city, Hebei Province
(2012)
The development of American alfalfa industry and its enlightenment to China
(2018)
The characteristics and influencing factors of geographical agglomeration of forage industry in China
(2009)
Study on supply response of wheat in China based on nerloven model
B. Baltagi, G. Bresson, A. Pirotte (2003)
Fixed effects, random effects or Hausman–Taylor?: A pretest estimatorEconomics Letters, 79
(2000)
The role of alfalfa in the adjustment of planting industry in Beijing
(2015)
Empirical research on farmers and herdsmen' willingness of planting alfalfa and its influential factors in Inner Mongolia
J. Behrman (1968)
Monopolistic Cocoa PricingAmerican Journal of Agricultural Economics, 50
Sun Xiu-lin (2014)
Study on Supply Response of Pork in China Based on Nelove ModelOn Economic Problems
(2018)
Supply and demand prediction of alfalfa in China
(2011)
Analysis of international competitiveness of forage products in China
(2015)
An empirical analysis of the reaction based on the model of China's cotton supply nerlove
Science and Technology Progress and Policy, 28
P. Ragályi, I. Kádár, P. Csontos (2014)
Effect of precipitation on the yield of hay meadows with contrasting nutrient supplyBulgarian Journal of Agricultural Science, 20
Zhu Si-zh (2014)
Studies for Chinese Soybean Supply Response Elasticity Based on Extended Nerlove ModelSoybean Science
(2015)
Empirical analysis of factors affecting alfalfa plantation behavior of farmers in Huang-huai-hai region
J. Baritelle, D. Price (1974)
Supply Response and Marketing Strategies for Deciduous CropsAmerican Journal of Agricultural Economics, 56
B. French, J. Matthews (1971)
A Supply Response Model for Perennial CropsAmerican Journal of Agricultural Economics, 53
M. Bateman (1965)
Aggregate and Regional Supply Functions for Ghanaian Cocoa, 1946–1962American Journal of Agricultural Economics, 47
(2015)
A new idea to effectively solve the problem of food security: focus on the development of pasture industry
(1990)
A comparison of GLS, BVAR and composite forecasts of nevada alfalfa hay prices
K. Konyar, K. Knapp (1988)
Market analysis of alfalfa hay: California caseAgribusiness, 4
Xiwen Chen (2018)
Forty years of rural reform in China: retrospect and future prospectsChina Agricultural Economic Review
L. Qian (2011)
Research on the Supply Response of Corn in Different Regions in ChinaOn Economic Problems
(2012)
Supply reaction of different food crops in China based on Nerlove model
This study analyzes the factors which affect the alfalfa cultivation acreage in China and estimates the development of alfalfa planting by the supply model.Design/methodology/approachBased on the characteristics and actual conditions of alfalfa cultivation in China, a naïve empirical model was created to analyze the impact of various influencing factors on the cultivation acreage of alfalfa.FindingsThe analysis of influential factors shows that China's alfalfa planting conforms to naïve price behavior. The prices of alfalfa and per capita arable land occupancy have a positive effect on the cultivation acreage, while the price of competitive crops and transportation costs have a negative effect on the production of alfalfa. Lastly, the 2012 alfalfa subsidy policy has a significant negative impact on alfalfa cultivation acreage.Research limitations/implicationsDue to the limited research on alfalfa supply in China, there is a lack of available research data and statistical data. A large number of data in this study are mainly indirect data derived and calculated from other industrial data. The measurement results may not be fully accurate.Originality/valueThis study represents the first empirical analysis of the characteristics of the factors influencing alfalfa cultivation acreage in China. The secondary data were used to analyze the influence of various control variables on the cultivation acreage of alfalfa, which is different from existing research.
China Agricultural Economic Review – Emerald Publishing
Published: Jan 12, 2021
Keywords: Alfalfa acreage; Influencing factors; Supply response model; Market structure; Industrial development
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