Journal
REGIONAL ENVIRONMENTAL CHANGE
Volume 14, Issue 4, Pages 1651-1661Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s10113-014-0611-2
Keywords
Carbon intensity; Environmental Kuznets curve; Dynamic spatial panel
Categories
Funding
- Program for New Century Excellent Talents in University [NCET-13-0583]
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Is emission intensity of carbon dioxide (CO2) spatially correlated? What determines the CO2 intensity at a provincial level? More importantly, what climate and economic policy decisions should the China's central and local governments make to reduce the CO2 intensity and prevent the environmental pollution given that China has been the largest emitter of CO2? We aim to address these questions in this study by applying a dynamic spatial system generalized method of moment technique. Our analysis suggests that provinces are influenced by their neighbours. In addition, CO2 intensities are relatively higher in the western and middle areas, and that the spatial agglomeration effect of the provincial CO2 intensity is obvious. Our analysis also shows that CO2 intensity is nonlinearly related to gross domestic product, positively associated with secondary-sector share and foreign direct investment, and negatively associated with population size. Important policy implications are drawn on reducing carbon intensity.
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