A Study on the Spatial Distribution and Gradient Transfer of Atmospheric Pollution Intensive Industries Such as the Thermal Power Industry in Hebei Province

Jingkun Zhou, Juan Tian (), Xiaoyan Wang and Xu Bai
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Jingkun Zhou: School of Business, Ludong University, 186 Hongqizhong Road, Yantai 264025, China
Juan Tian: School of Business Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China
Xiaoyan Wang: School of Sports and Arts, Hebei Sport University, Shijiazhuang 050041, China
Xu Bai: School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China

Energies, 2023, vol. 16, issue 13, 1-31

Abstract: Owing to a long-term, extensive development model and inadequate industrial development planning, cases of atmospheric environment pollution frequently occur in Hebei province. By using such approaches as the Spatial Gini Coefficient, the Herfindahl–Hirschman Index and location entropy, this paper analyzes the spatial-distribution characteristics of atmospheric pollution-intensive industries such as the thermal power industry in Hebei province. As shown, atmospheric pollution-intensive industries, such as the thermal power industry in Hebei province, excessively cluster. As industrial agglomeration continuously intensifies, the spatial imbalance becomes increasingly prominent. Taking the number of days with excellent air quality as a benchmark, this paper divides prefecture-level cities of Hebei province into four types of industrial management and designs targeted strategies for the optimization of atmospheric pollution-intensive industries, such as the thermal power industry. In terms of policies, Type I and Type II cities are advised to strengthen the transfer of atmospheric pollution-intensive industries such as the thermal power industry, and Type III and Type IV cities are advised to improve capacities in atmospheric self-purification and green-technology innovation in a bid to help government departments to scientifically manage atmospheric pollution-intensive industries such as the thermal power industry.

Keywords: spatial distribution; gradient transfer; atmospheric pollution-intensive industries such as the thermal power industry(APIISTPI) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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