Spatiotemporal coupling measurement of industrial wastewater discharge and industrial economy in China
- PMID: 34341925
- DOI: 10.1007/s11356-021-14743-3
Spatiotemporal coupling measurement of industrial wastewater discharge and industrial economy in China
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.
Keywords: Exploratory spatial data analysis (ESDA); Industrial structure; Industrial wastewater pollution; Spatiotemporal coupling; Water environment.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
References
-
- Andrew J, Shirk EL, Landguth, Samuel AC (2017) A comparison of regression methods for model selection in individual-based landscape genetic analysis. Mol Ecol Resour 18(1):55–67
-
- Bao QS, Jiang WL (1998) Spatial distribution of river water environmental capacity and the macro layout of industrial productivity in China. Geogr Sci 18(3):205–211 (in Chinese)
-
- Cao LJ (1998) Hamanizing the contradiction between regional economic development and water environment capacity shortage. Econ Geogr 18(4):54–61 (in Chinese)
-
- Charles P, del Campo AL, Szulkin M, Demeyrier V, Gregoire A, Charmantier A (2017) Great tits and the city: distribution of genomic diversity and gene–environment associations along an urbanization gradient. Evol Appl 11(5):593–613
-
- Chen CM (2000) The impact of the industrial structure and layout on environment in. Minjiang River Basin Fujian Geogr 15(1):14–17
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