Impacts of energy-related CO2 emissions: Evidence from under developed, developing and highly developed regions in China

A large accumulation of carbon dioxide and other greenhouse gases have caused great concern around the world. A great deal of general literature focus on the impact factors of CO2 emissions at the national, regional and city levels. However, there is little specific guidance on regional difference i...

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Bibliographic Details
Published in:Ecological indicators 2015-03, Vol.50, p.186-195
Main Authors: Wang, Yanan, Zhao, Tao
Format: Article
Language:English
Subjects:
CO2 emissions
Economic regions
Partial least square regression
Regional difference
STIRPAT model
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Summary:A large accumulation of carbon dioxide and other greenhouse gases have caused great concern around the world. A great deal of general literature focus on the impact factors of CO2 emissions at the national, regional and city levels. However, there is little specific guidance on regional difference in CO2 emissions. In this paper, 30 provincial-level administrative units of China are divided into three different levels of economic development regions according to the GDP per capita from 1997 to 2012. A STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model is used to examine the impact factors on energy-related CO2 emissions, including population, economic level, technology level, urbanization level, industrialization level and foreign trade degree. The results indicate that the effect of energy intensity is the greatest in highly developed region. Nevertheless, the impact of urbanization, industry structure and foreign trade degree in under developed region is higher than the other two regions. Population and GDP per capita have greater effect on carbon emissions in developing region than the others. Finally, differentiated measures for CO2 reductions should be adopted according to local conditions of different regions.
ISSN:1470-160X
1872-7034
DOI:10.1016/j.ecolind.2014.11.010