Spatial Heterogeneity Strategies for Pollution Agglomeration Control in China: Based on the Coordination Between Industr
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GMGDA 2019
Spatial Heterogeneity Strategies for Pollution Agglomeration Control in China: Based on the Coordination Between Industrialization and Urbanization Hanjin Xie 1 Received: 1 June 2020 / Accepted: 11 September 2020 / Published online: 22 September 2020 # Saudi Society for Geosciences 2020
Abstract In order to verify the effect of coordination between “industrialization and urbanization” on pollution control, we have integrated the exploration of the interaction effect of coupling coordination degree with the GTWR model of spatial heterogeneity model. Specifically, the degree of coordination between industrialization and urbanization has shown a strong control effect on pollution agglomeration in Liaoning, Shanxi, Zhejiang, Shanghai, and Fujian, but a weak control effect in Anhui, Chongqing, Guizhou, Shaanxi, and Xinjiang. The progress made in industrialization and urbanization has shown an evident control effect on pollution agglomeration in Jiangxi, Hubei, and Yunnan. The effect posed by industrialization on pollution agglomeration in Shanxi, Liaoning, Shanghai, Fujian, Chongqing and Xinjiang, which was once deteriorating, has been transformed into control effect. Moreover, the deteriorating effect posed by urbanization on pollution agglomeration in Anhui and Guizhou has been reversed to control effect. In this regard, we have come to the conclusion through the pollution agglomeration convergence test that the “club convergence” effect does exist, that is, there are regional differences. Accordingly, we have put forward the policy recommendations of “implementing measures that suit the conditions of each city.” Keywords Provinces in China . Pollution agglomeration . Spatial econometrics . GTWR . Adaptive response mechanism . Conditional β convergence . Recommendations
Introduction Since the article Don’t Let Pollution Agglomerate (He 2013) became exposed to the public, pollution agglomeration has gradually drawn attention from all walks of life. The substitution effect and cost effect from the perspective of microeconomics concluded that pollution dividend would cause pollution agglomeration (Zhang 2011). Under the constraints of some objective factors, the situation of environmental pollution in a region is bound to be affected by that of the neighboring areas (Poon et al. 2006). An empirical study on the environmental Kuznets curve by adopting the spatial
This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis * Hanjin Xie [email protected] 1
School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
econometric approach found that the per capita SO2 and NOX emissions of a country are largely affected by those of neighboring countries (Maddison 2006). There is a significant adjacency effect between the pollution of central cities and that of surrounding cities (He et al. 2013). Pollution agglomeration had been proved from the perspective of spatial correlation (Wu and Lv 2013). Spatial correlation of “three industrial wastes
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