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京津冀环境污染时空演进研究——基于影响因素时空异质性 被引量:2

Study on the Spatio-temporal Evolution of Environmental Pollution in Beijing-Tianjin-Hebei:Spatiotemporal Heterogeneity Based on Influence Factors
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摘要 使用2004—2017年京津冀13个城市的面板数据,采用时空地理加权回归模型,对京津冀环境污染时空演进影响因素异质性进行了分析。研究结果表明,产业结构和产业盈利能力对环境污染时空演进影响的回归系数各不相同,存在显著的时空异质性。产业结构对环境污染时空演进影响差异巨大,不同城市产业结构调整存在巨大的潜力。产业盈利能力对环境污染时空演进的影响存在显著的异质性,在利益和社会责任选择方面,外部环境压力政策更有利企业承担社会责任。 Serious environmental pollution in Beijing-Tianjin-Hebei region directly threatens the ecological security and human health. Based on the panel data from 2004 to 2017, this paper analyzes the heterogeneity of influence factors on the spatio-temporal evolution of environmental pollution in Beijing-Tianjin-Hebei region using geographically and temporally weighted regression(GTWR). The results show that the regression coefficients of industrial structure and industrial profitability on the spatio-temporal evolution of environmental pollution are different, and there is significant spatio-temporal heterogeneity. Industrial structure has great influence on the spatial and temporal evolution of environmental pollution, and there is great potential for industrial structure adjustment in different cities. The influence of industrial profitability on the temporal and spatial evolution of environmental pollution has significant heterogeneity. In terms of the choice of interests and social responsibility, the external environmental pressure policy is more conducive to corporate social responsibility.
作者 李从欣 李国柱 崔文静 Li Congxin;Li Guozhu;Cui Wenjing(School of Economics and Trade,Hebei GEO University,Shijiazhuang 050031,China)
出处 《当代经济管理》 CSSCI 北大核心 2020年第8期61-65,共5页 Contemporary Economic Management
基金 河北省社会科学基金项目《京津冀环境污染的时空演进及防治对策研究》(HB18YJ013)。
关键词 环境污染 时空演进 异质性 时空地理加权回归模型 environmental pollution spatio-temporal evolution heterogeneity geographically and temporally weighted regression model
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