Industrial Agglomeration and Environmental Pollution —Base on Spatial Econometric Analysis of Chinese urban Data

Science Research Management ›› 2016, Vol. 37 ›› Issue (6): 134-140.

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Industrial Agglomeration and Environmental Pollution —Base on Spatial Econometric Analysis of Chinese urban Data

Liu Jun ¹, Cheng Zhonghua ^1，2, Li Lianshui ^1,2

1. China Institute of Manufacturing Development, Nanjing University of Information
Science and Technology, Nanjing 210044, Jiangsu, China;
2. School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China

Received:2015-01-14 Revised:2015-10-09 Online:2016-06-20 Published:2016-06-12

Abstract

Abstract: Using statistical data from 285 cities in 2003-2012, this paper empirically studied the effect of industrial agglomeration on environmental pollution using spatial econometric model. The spatial autocorrelation tests showed that there was significant positive spatial correlation and local spatial agglomeration effects of urban environmental pollution. The spatial econometric regression showed that industrial agglomeration significantly aggravated environmental pollution, indicating that the negative environmental externalities caused by industrial agglomeration were higher than the positive environmental externalities. There was an inverted-U shape relationship between economic development and environmental pollution and it indicated that Environmental Kuznets curve existed in China. Finally, we put forward specific suggestions to improve environmental pollution based on the above conclusions of the paper.

Key words: industrial agglomeration, environmental pollution, Environmental Kuznets Curve, spatial econometric model

Liu Jun, Cheng Zhonghua, Li Lianshui. Industrial Agglomeration and Environmental Pollution —Base on Spatial Econometric Analysis of Chinese urban Data[J]. Science Research Management, 2016, 37(6): 134-140.

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Industrial Agglomeration and Environmental Pollution —Base on Spatial Econometric Analysis of Chinese urban Data

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