面对空气污染和碳排放的双重压力,考察二者协同减排效应的影响因素对实现我国工业绿色高质量发展尤为关键。基于2006~2021年我国30个省的面板数据,本文采用空间门限面板模型研究了不同经济发展水平下工业减污降碳协同效应影响因素的门...面对空气污染和碳排放的双重压力,考察二者协同减排效应的影响因素对实现我国工业绿色高质量发展尤为关键。基于2006~2021年我国30个省的面板数据,本文采用空间门限面板模型研究了不同经济发展水平下工业减污降碳协同效应影响因素的门限效应。研究发现:1) 我国工业减污降碳协同效应具有显著的正向空间溢出效应。2) 工业减污降碳协同效应的影响因素存在两门限效应。人均GDP超过40,916元的省份,工业化水平对工业减污降碳协同效应的促进作用更明显,技术进步的影响由负向转为正向,能源消费结构的抑制效应更强,能源利用效率的影响由负向变为不显著,能源消费总量的抑制作用减弱。在此基础上,我们提出相应的政策建议。In the face of the double pressure of air pollution and carbon emission, it is particularly important to investigate the influencing factors of their collaborative emission reduction for the green and high-quality development of China’s industrial industry. Based on the panel data of 30 provinces in China from 2006 to 2021, this paper uses spatial threshold panel model to study the threshold effect of influencing factors on industrial pollution and carbon reduction synergies under different economic development levels. The results show that: 1) the synergistic effect of industrial pollution and carbon reduction in China has a significant positive spatial spillover effect. 2) There are two threshold effects in the influencing factors of synergistic effect of industrial pollution reduction and carbon reduction. For provinces with per capita GDP exceeding 40,916 Yuan, the promotion effect of industrialization level on the synergistic effect of industrial pollution reduction and carbon reduction is more obvious, the impact of technological progress turns from negative to positive, the inhibitory effect of energy consumption structure is stronger, the impact of energy efficiency changes from negative t展开更多
文摘面对空气污染和碳排放的双重压力,考察二者协同减排效应的影响因素对实现我国工业绿色高质量发展尤为关键。基于2006~2021年我国30个省的面板数据,本文采用空间门限面板模型研究了不同经济发展水平下工业减污降碳协同效应影响因素的门限效应。研究发现:1) 我国工业减污降碳协同效应具有显著的正向空间溢出效应。2) 工业减污降碳协同效应的影响因素存在两门限效应。人均GDP超过40,916元的省份,工业化水平对工业减污降碳协同效应的促进作用更明显,技术进步的影响由负向转为正向,能源消费结构的抑制效应更强,能源利用效率的影响由负向变为不显著,能源消费总量的抑制作用减弱。在此基础上,我们提出相应的政策建议。In the face of the double pressure of air pollution and carbon emission, it is particularly important to investigate the influencing factors of their collaborative emission reduction for the green and high-quality development of China’s industrial industry. Based on the panel data of 30 provinces in China from 2006 to 2021, this paper uses spatial threshold panel model to study the threshold effect of influencing factors on industrial pollution and carbon reduction synergies under different economic development levels. The results show that: 1) the synergistic effect of industrial pollution and carbon reduction in China has a significant positive spatial spillover effect. 2) There are two threshold effects in the influencing factors of synergistic effect of industrial pollution reduction and carbon reduction. For provinces with per capita GDP exceeding 40,916 Yuan, the promotion effect of industrialization level on the synergistic effect of industrial pollution reduction and carbon reduction is more obvious, the impact of technological progress turns from negative to positive, the inhibitory effect of energy consumption structure is stronger, the impact of energy efficiency changes from negative t
