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Int. J. Environ. Res. Public Health 2018, 15(10), 2095; https://doi.org/10.3390/ijerph15102095

Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach

1,2, 1,2, 3,*, 4,* and 1,2
1
School of Business, Central South University, Changsha 410083, China
2
Institute of Big Data and Internet Innovation, Hunan University of Commerce, Changsha 410205, China
3
School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
4
Institute of Finance, Guangzhou University, Guangzhou 510006, China
*
Authors to whom correspondence should be addressed.
Received: 30 July 2018 / Revised: 14 September 2018 / Accepted: 20 September 2018 / Published: 25 September 2018
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Abstract

This research utilizes the environmental Kuznets curve to demonstrate the interrelationship between economic growth, industrial structure, and water quality of the Xiangjiang river basin in China by employing spatial panel data models. First, it obtains two variables (namely, CODMn, which represents the chemical oxygen demand of using KMnO4 as chemical oxidant, and NH3-N, which represents the ammonia nitrogen content index of wastewater) by pretreating the data of 42 environmental monitoring stations in the Xiangjiang river basin from 2005 to 2015. Afterward, Moran’s I index is adopted to analyze the spatial autocorrelation of CODMn and NH3-N concentration. Then, a comparative analysis of the nonspatial panel model and spatial panel model is conducted. Finally, this research estimates the intermediate effect of the industrial structure of the Xiangjiang river basin in China. The results show that spatial autocorrelation exists in pollutant concentration and the relationship between economic growth and pollutant concentration shapes as an inverted-N trajectory. Moreover, the turn points of the environmental Kuznets curve for CODMn are RMB 83,001 and RMB 108,583 per capita GDP. In contrast, the turn points for NH3-N are RMB 50,980 and RMB 188,931 per capita GDP. Additionally, the environmental Kuznets curve for CODMn can be explained by industrial structure adjustment, while that for NH3-N cannot. As a consequence, the research suggests that the effect of various pollutants should be taken into account while making industrial policies. View Full-Text
Keywords: economic growth; water quality; spatial effects; industrial structure economic growth; water quality; spatial effects; industrial structure
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Chen, X.; Yi, G.; Liu, J.; Liu, X.; Chen, Y. Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach. Int. J. Environ. Res. Public Health 2018, 15, 2095.

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