黄晓玲(学),田鹏: How does heterogeneous environmental regulation affect net carbon emissions: Spatial and threshold analysis for China.

发布人:陈永佳 发布时间:2024-04-22 点击次数:

黄晓玲(学),田鹏How does heterogeneous environmental regulation affect net carbon emissions: Spatial and threshold analysis for China.

我校365英国上市网站官网田鹏老师在T2级别期刊——《Journal of Environmental Management》上发表题为“How does heterogeneous environmental regulation affect net carbon emissions: Spatial and threshold analysis for China”。论文作者田鹏为365英国上市网站官网副教授。

Abstract /摘要

The Chinese government has made great efforts in air pollutant reduction and carried out strict regulation policies. Since numerous air pollutants and CO2 tend to have the same root, source, and process, recent studies argue that environmental regulation may also contribute to reducing carbon emissions. To investigate how various types of environmental regulations affect carbon emissions reduction, this paper constructs the spatial Durbin model and panel threshold model based on provincial panel data in China during 2003–2019. The main findings are as follows: First, China's net carbon emissions show a decreasing trend from east to west, displaying significant spatial agglomeration characteristics. Then, formal and informal environmental regulations have inverted U-shaped impacts on net carbon emissions. The “green paradox” and “reverse emission reduction” effects come into play at different stages. Finally, the threshold model reveals that with the improvement of regional technological innovation levels, the carbon-reducing effect of environmental regulation will increasingly come to the fore. These research findings are conducive to providing theoretical guidance for government to formulate and implement environmental regulation policies rationally.

论文信息;

Title/题目:

How does heterogeneous environmental regulation affect net carbon emissions: Spatial and threshold analysis for China

Authors/作者:

Huang Xiaoling;Tian Peng

Keywords /关键词

Environmental regulation;Carbon emissions;Carbon sinks;Spatial Durbin model;Threshold model

DOI:10.1016/J.JENVMAN.2022.117161

全文链接:

https://www.sciencedirect.com/science/article/pii/S0301479722027347?via%3Dihub