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Economic growth and carbon emission in China:a spatial econometric Kuznets curve?

Hengzhou Xu (xuhengzhou@163.com), Chuanrong Zhang (weidongli2003@126.com), Weidong Li (weidongli2003@126.com), Wenjing Zhang (wenjingzh@tju.edu.cn) and Hongchun Yin (hongchunyin2012@163.com)
Additional contact information
Hengzhou Xu: College of Management and Economics, No. 92 Weijin Road, Tianjin, P.R. China
Chuanrong Zhang: Department of Geography, Storrs, CT 06269-4148, USA
Weidong Li: Department of Geography, Storrs, CT 06269-4148, USA
Wenjing Zhang: College of Management and Economics, No. 92 Weijin Road, Tianjin, P.R. China
Hongchun Yin: College of Management and Economics, No. 92 Weijin Road, Tianjin, P.R. China

Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, 2018, vol. 36, issue 1, 11-28

Abstract: Economic development has largely contributed to the increment of CO2 emission. This study uses spatial econometric models to investigate the relationship between economic growth and carbon emission in China with data of 30 provinces of China during the period of 2000 to 2012. Results show that the relationship between carbon emission and economic growth in China during the recent decade has the development tendency toward an inverse U-shaped curve, approximately confirming the carbon emission’s Kuznets curve hypothesis in China. There exists a significant spatial correlation between carbon emission and economic growth, implying that carbon emission in a province may be influenced by economic growth in adjacent provinces. When economic growth reaches 279.91 million Yuan/km2 GDP (at a comparable price in 2000), the contradiction between economic growth and carbon emission begins to be gradually alleviated. These findings provide new insights and valuable information for reducing carbon emissions in China.

Keywords: Carbon emission; environmental Kuznets curve; land-use change; spatial econometrics (search for similar items in EconPapers)
JEL-codes: Q56 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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