Abstract

Industrial transfer is reshaping the geographic layout of industries and facilitating the transfer and spread of environmental pollution. This study employs the pollution transfer estimation method to discuss the environmental effect of industrial transfer. By compiling statistics on industries of a certain scale according to time-series data, the researchers compute the pollution load generated by industrial transfer and the difference in pollution emissions for each region and industry. Through the constructed evaluation model, the empirical scope is Jiangsu, which is the most developed industry in China. The results reveal that there is an apparent spatial hierarchy among the transferred industries in Jiangsu. Most industries transfer from the southern Jiangsu region toward the central Jiangsu and northern Jiangsu regions. Environmental pollution is redistributed among prefecture-level cities because of intercity industrial transfer; the spatial characteristics of pollution exhibit a notable hierarchical pattern. Furthermore, the transferred pollution load differs considerably between industries. The textile industry and chemical raw material and chemical product industry are mainly transferred toward the Central Jiangsu and Northern Jiangsu regions, whereas the papermaking and paper product manufacturing industry is primarily redistributed to the Southern Jiangsu region. The empirical results can serve as a reference for analyzing the environmental pollution effects of regional industrial transfer.

Highlights

  • Adjustments to the positions of international corporations in the global supply chain have prompted industries to frequently transfer to or cluster in various countries and regions

  • By using Jiangsu as the research target, the researchers could more effectively quantify the environmental effect of industrial transfer in the high-quality economic development process and devise more effective responses for addressing environmental quality changes caused by high-quality economic development

  • The industrial enterprise data is consisted of only the data on industries above the designed size; statistical indices included the prefecture-level city of each industry, industrial output value, industrial wastewater emission, and industry category

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Summary

Introduction

Adjustments to the positions of international corporations in the global supply chain have prompted industries to frequently transfer to or cluster in various countries and regions. Wang et al compared the environmental changes in developing versus developed countries during the industrial transfer process and revealed that the PM2.5 levels increased and decreased, respectively, because of the industrial transfer [6] This result was obtained by Raza et al by using monthly statistics for the United States from 1973 to 2015 [7]. Yin et al investigated the relationship between economic development and the environment of eight economic regions in China during an industrial transfer process and discovered that industrial transfer increased the environmental stress and pollution levels in the host regions [24]. In studies on industrial transfer, countries and regions with considerable differences in economic development, industrial structure, and environmental policies have generally been researched. Few studies have investigated the environmental effects of interprovincial or interregional industrial transfer between regions with similar economic development, industry structure, and environmental policies. By using Jiangsu as the research target, the researchers could more effectively quantify the environmental effect of industrial transfer in the high-quality economic development process and devise more effective responses for addressing environmental quality changes caused by high-quality economic development

Subsection
Data Source and Processing
Status of Industrial Transfer in Jiangsu
Characteristics of Transferred
Characteristics of Transferred Industries
Discussion
Findings
Differences in Pollution Load Caused by Industrial Transfer
Conclusions and and Implications
Full Text
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