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Frontiers of Earth Science

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ISSN 2095-0209(Online)

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Front. Earth Sci.    2017, Vol. 11 Issue (1) : 156-161    https://doi.org/10.1007/s11707-016-0557-4
RESEARCH ARTICLE
Driving factors of carbon dioxide emissions in China: an empirical study using 2006--2010 provincial data
Yu LIU1,Zhan-Ming CHEN2,3(),Hongwei XIAO4(),Wei YANG5,Danhe LIU6,Bin CHEN7
1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China
2. Department of Energy Economics, School of Economics, Renmin University of China, Beijing 100872, China
3. National Academy of Development and Strategy, Renmin University of China, Beijing 100872, China
4. Economic Forecasting Department, State Information Center, Beijing 100045, China
5. School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
6. School of Humanities and Social Science, Beijing Institute of Technology, Beijing 100081, China
7. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
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Abstract

The rapid urbanization of China has increased pressure on its environmental and ecological well being. In this study, the temporal and spatial profiles of China’s carbon dioxide emissions are analyzed by taking heterogeneities into account based on an integration of the extended stochastic impacts using a geographically and temporally weighted regression model on population, affluence, and technology. Population size, urbanization rate, GDP per capita, energy intensity, industrial structure, energy consumption pattern, energy prices, and economy openness are identified as the key driving factors of regional carbon dioxide emissions and examined through the empirical data for 30 provinces during 2006–2010. The results show the driving factors and their spillover effects have distinct spatial and temporal heterogeneities. Most of the estimated time and space coefficients are consistent with expectation. According to the results of this study, the heterogeneous spatial and temporal effects should be taken into account when designing policies to achieve the goals of carbon dioxide emissions reduction in different regions.
Keywords carbon dioxide emission      heterogeneity      space spillover     
Corresponding Author(s): Zhan-Ming CHEN,Hongwei XIAO   
Just Accepted Date: 29 January 2016   Online First Date: 01 April 2016    Issue Date: 23 January 2017
 Cite this article:   
Yu LIU,Zhan-Ming CHEN,Hongwei XIAO, et al. Driving factors of carbon dioxide emissions in China: an empirical study using 2006--2010 provincial data[J]. Front. Earth Sci., 2017, 11(1): 156-161.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-016-0557-4
https://academic.hep.com.cn/fesci/EN/Y2017/V11/I1/156
Variable Minimum value A quarter of the quantile Median Three-quarters of quantile Maximum Inter quartile range
Constant ?6.22 ?5.22 ?4.54 ?3.35 5.86 1.87
Log(P) 0.40 0.78 0.88 1.03 1.11 0.25
Log(UR) ?1.69 ?0.79 0.08 0.30 0.61 1.10
Log(GDPPC) 0.05 0.66 0.70 0.92 1.21 0.27
Log(EI) 0.36 0.83 1.22 1.30 1.47 0.47
Log(IS) ?0.88 0.12 0.20 0.29 0.63 0.18
Log(ECS) ?0.39 0.03 0.28 0.62 0.97 0.60
Log(EP) ?0.68 ?0.43 ?0.22 ?0.04 0.60 0.39
Log(OPEN) ?0.03 0.00 0.03 0.05 0.11 0.05
W*Log(P) ?0.21 0.01 0.28 0.36 0.54 0.35
W*Log(UR) ?1.80 ?0.52 ?0.26 0.15 1.19 0.67
W*Log(GDPPC) ?0.87 0.18 0.28 0.41 1.05 0.23
W*Log(EI) ?1.41 ?0.35 0.07 0.55 0.79 0.90
W*Log(IS) ?0.60 ?0.22 0.12 1.06 2.02 1.28
W*Log(ECS) ?1.48 ?0.85 ?0.44 0.26 0.76 1.11
W*Log(EP) ?1.14 ?0.21 ?0.01 0.20 0.60 0.41
W*Log(OPEN) ?0.09 ?0.04 0.00 0.04 0.18 0.07
Tab.1  Estimated coefficients of driving factors of carbon dioxide emissions (

bST

=3.66)

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