Spatial Analysis of China Provincial-Level CO2 Emission Intensity

This study offers a unique contribution to the literature by investigating the influential factors of energy-related carbon dioxide emission intensity among a panel of 30 provinces in China covering the period 1991-2010. We use novel spatial panel data models to analyze the drivers of energy-related emission intensity, which we posit are characterized by spatial dependence. Our results suggest: (1) emission intensities are negatively affected by per-capita, provincial-level GDP and population density; (2) emission intensities are positively affected by energy consumption structure and transportation structure; and (3) energy price has no effect on the emission intensities.


Issue Date:
2013
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/149006
Page range:
3-27
Total Pages:
27
JEL Codes:
Q43; Q53; Q54; Q56
Series Statement:
Paper and the Control ID number assigned by the AAEA




 Record created 2017-04-01, last modified 2017-08-04

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