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

被引:17
作者
Chen, Ming [1 ,2 ]
Chen, Hongquan [3 ]
机构
[1] Nanjing Normal Univ, Ginling Coll, Nanjing 210097, Peoples R China
[2] Univ Florida, Gulf Coast Res & Educ Ctr, Wimauma, FL 33598 USA
[3] Yancheng Teachers Univ, Sch Urban Planning, Yancheng 224007, Peoples R China
基金
中国国家自然科学基金;
关键词
Spatiotemporal coupling; Industrial structure; Exploratory spatial data analysis (ESDA); Industrial wastewater pollution; Water environment; ENVIRONMENTAL KUZNETS CURVE; SPATIAL VARIABILITY; PATTERNS; QUALITY; TOPOGRAPHY; DRINKING; BALANCE; IMPACT; FIELD; LAKE;
D O I
10.1007/s11356-021-14743-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:46319 / 46333
页数:15
相关论文
共 55 条
[1]  
Cao, 1998, ECON GEOGR, V18, P54
[2]  
Chen CM, 2000, MINJIANG RIVER BASIN, V15, P14
[3]  
China Statistics Bureau, 1998, CHIN STAT YB
[4]  
China Statistics Bureau, 1998, CHINA STAT YB ENV
[5]   Seasonal and spatial variation in water availability drive habitat associations in a tropical forest [J].
Comita, Liza S. ;
Engelbrecht, Bettina M. J. .
ECOLOGY, 2009, 90 (10) :2755-2765
[6]   Influence of spatial variation in land-use patterns and topography on water quality of the rivers inflowing to Fuxian Lake, a large deep lake in the plateau of southwestern China [J].
Dai, Xiaoyan ;
Zhou, Yuanqing ;
Ma, Weichun ;
Zhou, Liguo .
ECOLOGICAL ENGINEERING, 2017, 99 :417-428
[7]   Confronting the environmental Kuznets curve [J].
Dasgupta, S ;
Laplante, B ;
Wang, H ;
Wheeler, D .
JOURNAL OF ECONOMIC PERSPECTIVES, 2002, 16 (01) :147-168
[8]   Environmental Kuznets Curve hypothesis: A survey [J].
Dinda, S .
ECOLOGICAL ECONOMICS, 2004, 49 (04) :431-455
[9]   Contrasting Patterns in the Decrease of Spatial Variability With Increasing Catchment Area Between Stream Discharge and Water Chemistry [J].
Egusa, Tomohiro ;
Kumagai, Tomo'omi ;
Oda, Tomoki ;
Gomi, Takashi ;
Ohte, Nobuhito .
WATER RESOURCES RESEARCH, 2019, 55 (08) :7419-7435
[10]  
Fu M., 2008, QUANT EC TECHNOL EC, V11, P40