The Distribution Dynamics of Carbon Dioxide Emissions Intensity across Chinese Provinces: A Weighted Approach
Jian-Xin Wu () and
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Jian-Xin Wu: School of Economics, Institute of Resource, Environment and Sustainable Development Research, Jinan University, Guangzhou 510632, China
Sustainability, 2017, vol. 9, issue 1, 1-19
This paper examines the distribution dynamics of carbon dioxide (CO 2 ) emissions intensity across 30 Chinese provinces using a weighted distribution dynamics approach. The results show that CO 2 emissions intensity tends to diverge during the sample period of 1995–2014. However, convergence clubs are found in the ergodic distributions of the full sample and two sub-sample periods. Divergence, polarization, and stratification are the dominant characteristics in the distribution dynamics. Weightings with economic and population sizes have important impacts on current distributions and hence long-run steady distributions. Neglecting the size of the economy may underestimate the deterioration in the long-run steady state. The result also shows that conditioning on space and income cannot eliminate the multimodality in the long-run distribution. However, capital intensity has an important impact on the formation of convergence clubs. Our findings will contribute to an understanding of the spatial dynamic behaviors of CO 2 emissions across Chinese provinces, and have important policy implications for CO 2 emissions reduction in China.
Keywords: carbon dioxide emissions; weighted kernel estimation; distribution dynamics; conditional distribution; Chinese provinces (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
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Working Paper: The distribution dynamics of Carbon Dioxide Emission intensity across Chinese provinces: A weighted Approach (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:9:y:2017:i:1:p:101-:d:87640
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