4.7 Article

How does China's industrial wastewater shadow price evolve? The perspective of spatiotemporal characteristics and differences decomposition

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 20, Pages 30363-30382

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-17942-0

Keywords

Industrial wastewater; Spatiotemporal characteristics; Shadow price; Spatial convergence; Dagum Gini coefficient

Funding

  1. Major Projects of Chinese National Funding of Social Sciences, China [19ZDA082]

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This study estimates the shadow price of China's urban industrial wastewater (IWSP) using the non-parametric dual evaluation linear analysis framework, and analyzes its spatiotemporal characteristics and sources of differences. The results show an increasing trend of China's urban IWSP, indicating the significant results and increasing difficulty of emission reduction policies. There are differences among regions and variations in green production processes. IWSP gradually diverges, with regions with lower average shadow prices converging faster. The overall difference of IWSP and intra/inter-regional differences decrease, with the contribution rate of intensity of transvariation becoming the main reason for the imbalanced distribution of IWSP.
To provide a reference for reducing the cost of industrial wastewater treatment and alleviate the pressure on water environment governance in China, we use the non-parametric dual evaluation linear analysis framework to estimate the shadow price of China's urban industrial wastewater (IWSP) with consideration of multiple inputs based on the data of 267 cities in China from 2003 to 2016. Then, we investigate the spatiotemporal characteristics of IWSP and analyze its sources of differences. Main conclusions are as follows: (1) Mean of China's urban IWSP increased from 645.54 yuan/ton in 2003 to 5662.64 yuan/ton in 2016, implicating the significant results and increasing difficulty of emission reduction policies. In addition, the Moran's I index of IWSP decreased from 0.056 to 0.002, implicating declining spatial correlation and differentiated green production processes in various regions. (2) From stock perspective, the sigma convergence result shows that the IWSP of the country and each region gradually diverges, and the beta convergence results from incremental perspective show that the IWSP of a single region tends to converge in a steady state. Furthermore, regions with lower average shadow prices converge faster than regions with higher average shadow prices. (3) Using the Dagum Gini coefficient method, we find that the overall difference of IWSP dropped from 0.5758 to 0.3568. The intra-regional differences in each region continued to decline, as well as inter-regional differences. And the contribution rate of intensity of transvariation has risen from 33.71 to 60.80%, becoming the main reason for the imbalanced distribution of IWSP.

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