基于空间计量经济学模型和面板门限模型的中国环境规制、技术创新与能源消费研究。
A study of environmental regulation, technological innovation, and energy consumption in China based on spatial econometric models and panel threshold models.
机构信息
Business School, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Nanjing University of Information Science and Technology, Nanjing, People's Republic of China.
出版信息
Environ Sci Pollut Res Int. 2020 Oct;27(30):37894-37910. doi: 10.1007/s11356-020-09793-y. Epub 2020 Jul 2.
Under different technological innovation modes, regional energy consumption may have spatial heterogeneity. Spatial heterogeneity complicates the nexus between environmental regulation and energy consumption. Traditional spatial homogeneity analysis is hard to describe the nonlinear nexus between them. Based on the data of 30 provinces in China from 2007 to 2017, this paper employs the spatial econometric method and the nonlinear econometric method to investigate the spatial effects and nonlinearity of energy consumption, respectively. The results display that under the current level of economic development, per capita energy consumption has a significant spatial spillover effect. Environmental regulation promotes regional per capita energy consumption in the short term. On the contrary, the technological effect of environmental regulation has significantly reduced Chinese per capita energy consumption. Therefore, energy policy should be tailored to local conditions, and policymakers can strengthen the environmental regulatory system and encourage enterprises to implement green technology innovation.
在不同的技术创新模式下，区域能源消耗可能存在空间异质性。空间异质性使环境规制与能源消耗之间的关系变得复杂。传统的空间均一性分析难以描述它们之间的非线性关系。基于 2007 年至 2017 年中国 30 个省份的数据，本文分别采用空间计量经济学方法和非线性计量经济学方法，研究了能源消耗的空间效应和非线性关系。结果表明，在当前经济发展水平下，人均能源消耗具有显著的空间溢出效应。环境规制在短期内促进了区域人均能源消耗。相反，环境规制的技术效应显著降低了中国的人均能源消耗。因此，能源政策应因地制宜，政策制定者可以加强环境监管体系，鼓励企业实施绿色技术创新。
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