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Spatiotemporal coupling measurement of industrial wastewater discharge and industrial economy in China

  • Environmental Concerns and Pollution control in the Context of Developing Countries
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Abstract

With the industrial-level panel data on total output and wastewater discharge over the period of 1997 to 2018, this paper employs GIS and ESDA methods to empirically investigate the spatial relationship between industrial total output and wastewater discharge. In this paper, we empirically examine whether and how industrial wastewater discharge in a particular province may affect the wastewater discharge in its neighboring provinces. Results suggest that provinces (municipalities) with large-scale industrial sewage discharge are located along riversides and coastal areas and these discharges then gradually distribute to coastal, central, and western areas. Results also show a strong spatial autocorrelation of industrial wastewater discharge between the observed local province and its neighboring provinces which is increasing over time. In addition, there is also a significant spatial spillover effect of industrial wastewater discharge among neighboring provinces in China’s eastern and central regions, indicating a structural convergence of high-pollution industries.

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Availability of data and materials

The datasets used and analyzed during the current study are available from the China Statistical Yearbook (1998–2019) and China Statistical Yearbook on Environment (1998–2019).

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Acknowledgements

We thank the National Natural Science Foundation of China, the Jiangsu Provincial Social Science Foundation, and Nanjing Normal University for their support of this research.

Funding

This research was financially supported by the following: (1) the National Natural Science Foundation of China (41901244); (2) the Jiangsu Provincial Philosophy and Social Science Foundation of Universities (2019SJA0228); (3) the Starting Research Found from Nanjing Normal University (184080H202A47); (4) Jiangsu Provincial Social Science Foundation (17DDB015).

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Authors and Affiliations

  1. Ginling College, Nanjing Normal University, Nanjing, 210097, China

    Ming Chen

  2. Gulf Coast Research and Education Center, University of Florida, Wimauma, FL, 33598, USA

    Ming Chen

  3. School of Urban Planning, Yancheng Teachers University, Yancheng, 224007, China

    Hongquan Chen

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  1. Ming Chen
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  2. Hongquan Chen
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Chen M builds the model and analyzes the data. Chen H explains the research results in this study.

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Correspondence to Ming Chen.

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Chen, M., Chen, H. Spatiotemporal coupling measurement of industrial wastewater discharge and industrial economy in China. Environ Sci Pollut Res 28, 46319–46333 (2021). https://doi.org/10.1007/s11356-021-14743-3

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