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- Title
Impacts of energy-related CO emissions in China: a spatial panel data technique.
- Authors
Kang, Yan-Qing; Zhao, Tao; Wu, Peng
- Abstract
Since carbon dioxide (CO) emissions cause great concern around the world, a large amount of literature focuses on the impact factors of CO emissions. However, there is little specific guidance on the spatial effects of variables and regional characteristics of CO emissions in China. Based on spatial panel methods, this paper used a STIRPAT (stochastic impacts by regression on population, affluence and technology) model to examine the impact of energy-related factors on CO emissions in China. Then, the spillover effects of China's provincial per capita CO emissions have been tested. The results indicate that there exist obvious spatial correlation and spatial agglomeration features in spatial distribution of per capita CO emissions. Spatial economic model is demonstrated to offer a greater explanatory power than the traditional non-spatial panel model. Moreover, GDP per capita, energy intensity, industrial structure and urbanization have positive and significant effects on CO emissions, while the coefficient of population is not significant. According to these results, this paper proposes some policy suggestions on reducing China's CO emissions.
- Subjects
CHINA; CARBON dioxide &; the environment; EMISSIONS (Air pollution); REGIONAL differences; URBANIZATION &; the environment
- Publication
Natural Hazards, 2016, Vol 81, Issue 1, p405
- ISSN
0921-030X
- Publication type
Article
- DOI
10.1007/s11069-015-2087-x