摘要
在碳达峰、碳中和战略目标下,基于我国2010—2019年省级面板数据,系统测度各地区健康能源强度水平与其异质性结构,通过构建非线性动态面板门槛回归模型,从环境规制视角探析各地区绿色转型对于健康能源强度的影响效应。结果表明:我国区域健康能源强度亟待优化,且各地区间差异显著。绿色转型对于健康能源强度的作用存在显著环境规制异质门槛效应:适当的环境规制水平在一定程度上有效激发了绿色转型的驱动效应,进而能降低健康能源强度,而环境规制水平超过“临界值”时,强环境规制不利于激发省域绿色转型促进健康能源强度水平的降低,为双碳目标下探索绿色转型、发展生态文明与建设健康中国提供了理论参考。
Under the strategic goals of carbon peaking and carbon neutrality,this paper systematically measures the level of healthy energy intensity and its heterogeneity structure in each region based on the provincial panel data in China from 2010 to 2019.From the perspective of environmental regulation,we analyze the impact of green transition on healthy energy intensity in various regions.The study found that the regional healthy energy intensity in China needs to be optimized urgently,and there are significant differences among regions.There is a significant heterogeneous threshold effect of environmental regulation on the role of green transition on healthy energy intensity:an appropriate level of environmental regulation can effectively stimulate the driving effect of green transition to a certain extent,which in turn can reduce healthy energy intensity.When the level of environmental regulation increases and exceeds the′critical value′,it is not conducive to stimulating the green transformation of the province and promoting the reduction of the level of healthy energy intensity.It provides the theoretical reference for exploring green transition,developing ecological civilization and building a healthy China under the dual-carbon goal.
作者
陈建成
王卉菀
侯建
Chen Jiancheng;Wang Huiyu;Hou Jian(School of Economics and Management,Beijing Forestry University,Beijing 100083,China;College of Information and Management Science,Henan Agricultural University,Zhengzhou Henan 450046,China)
出处
《西南林业大学学报（社会科学）》
CAS
2023年第2期1-9,F0002,共10页
Journal of Southwest Forestry University(Social Sciences)
基金
国家社科基金“基于生态工程参与的贫困人口创业驱动机理与实现路径研究”(18BGL052)资助。
关键词
绿色转型
健康能源强度
环境规制
异质门槛效应
green transition
healthy energy intensity
environmental regulation
heterogeneous threshold effect
