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Spatial difference analysis of residential energy consumption, income and carbon emissions in China

Spatial difference analysis of residential energy consumption, income and carbon emissions in China This paper aims to analyze the internal relationships and tendency of residential energy consumption, income and carbon emissions.Design/methodology/approachTaking 30 provinces of China as the analysis unit and dividing them into two types of urban and rural consumer groups, the panel data model was built. In addition, panel unit root test, panel cointegration test and panel Granger causality test were also used.FindingsThe results showed that there are long-run equilibrium relationships between the three variables, which show the regular tendency in the spatial process. The elasticity coefficients of residential energy consumption and CO2 emissions vary across the three regions and decline continuously from the western to central and eastern regions. In addition, geographic location is also an important factor on the energy consumption and CO2 emissions in residential sector.Originality/valueThis paper provides some points for policies on cutting energy use and pollution in residential sector. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Energy Sector Management Emerald Publishing

Spatial difference analysis of residential energy consumption, income and carbon emissions in China

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References (35)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1750-6220
DOI
10.1108/ijesm-01-2016-0004
Publisher site
See Article on Publisher Site

Abstract

This paper aims to analyze the internal relationships and tendency of residential energy consumption, income and carbon emissions.Design/methodology/approachTaking 30 provinces of China as the analysis unit and dividing them into two types of urban and rural consumer groups, the panel data model was built. In addition, panel unit root test, panel cointegration test and panel Granger causality test were also used.FindingsThe results showed that there are long-run equilibrium relationships between the three variables, which show the regular tendency in the spatial process. The elasticity coefficients of residential energy consumption and CO2 emissions vary across the three regions and decline continuously from the western to central and eastern regions. In addition, geographic location is also an important factor on the energy consumption and CO2 emissions in residential sector.Originality/valueThis paper provides some points for policies on cutting energy use and pollution in residential sector.

Journal

International Journal of Energy Sector ManagementEmerald Publishing

Published: Sep 18, 2017

Keywords: CO2 emission; Regression; Income; Co-integration; Panel data model; Residential energy consumption

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