生态环境学报2024，Vol.33Issue(11)：1661-1671,11.DOI:10.16258/j.cnki.1674-5906.2024.11.001
重污染企业减污降碳协同效应时空分异特征及其驱动因素分析
The Spatiotemporal Differentiation and Driving Factors of the Synergistic Effect of Pollution and Carbon Reduction in Heavily Polluting Enterprises:Evidence from 100 A-share Enterprises
摘要
Abstract
Heavily polluting enterprises are the main sources of pollution and carbon emissions in China.Investigating the spatiotemporal differentiation characteristics and driving factors of the synergistic effects of pollution and carbon reduction in these enterprises is crucial for further promoting the coordinated governance of pollution and carbon reduction in heavy-pollution enterprises,achieving the goal of"dual carbon"and sustainable economic development.For this purpose,100 A-share listed companies in China's heavy-pollution industry from 2008 to 2022 were selected as the sample.The Spatiotemporal Geographically Weighted Regression(GTWR)model and kriging spatial interpolation were used to analyze the spatiotemporal differentiation characteristics of the coordinated governance of pollution and carbon emission reduction of heavily polluting enterprises.Additionally,the dual fixed-effects model was employed to analyze the driving factors of the synergistic effects of pollution and carbon reduction in heavy-pollution enterprises and further reveal the heterogeneity of these factors based on the regression results of the GTWR.The results showed the following.(1)From a temporal perspective,since 2008,the synergistic effects of pollution and carbon emission reductions in China's heavily polluting industries have generally exhibited an upward trend,with the mean value increasing from 0.476 in 2008 to 0.490 in 2022.(2)In terms of spatial characteristics,the synergistic effects in the eastern,central,and western regions are 0.413-0.810,0.395-0.662,and 0.187-0.550,respectively.Initially,the synergistic effect in the eastern and central regions was higher than that in other regions.However,as the collaborative governance of pollution and carbon reduction progressed,differences among the regions gradually diminished.(3)Energy consumption is significantly negatively correlated with the synergistic effect of pollution and carbon reduction in heavy-pollution enterprises,whereas total factor productivity and green technological innovation are significantly positively correlated with the synergistic effect.The driving effects of energy consumption and total factor productivity were more pronounced in the eastern region,whereas the role of green technological innovation was more prominent in the western region.The intensity of environmental regulation and public environmental attention played moderating roles in the driving factors of pollution and carbon emission reduction.This study not only expands the research perspective on the synergistic effect of pollution and carbon reduction in heavy pollution enterprises but also provides insight for China to promote the reduction in pollution and carbon emissions in these enterprises.关键词
重污染企业/减污降碳协同/耦合协调度/GTWR模型/时空分异特征/驱动因素Key words
heavily polluting enterprises/pollution and carbon reduction synergy/coupling coordination degree/GTWR model/spatiotemporal differentiation characteristics/driving factors分类
管理科学引用本文复制引用
田嘉莉,毛靖宇,彭甲超,姚婷婷,付书科..重污染企业减污降碳协同效应时空分异特征及其驱动因素分析[J].生态环境学报,2024,33(11):1661-1671,11.基金项目
国家自然科学基金青年项目(72303174) （72303174）
教育部人文社会科学研究青年项目(21YJC790145) （21YJC790145）
湖北省社科基金前期资助项目(22ZD077 （）
23ZD216) （）
数字化学习技术集成与应用教育部工程研究中心创新基金重大项目(1331002) （1331002）
湖北省教育科学规划一般项目(2022GB035) （2022GB035）
武汉工程大学人文社会科学研究基金(R202105) （R202105）
