上海节能2024,Issue(5) :813-818.DOI:10.13770/j.cnki.issn2095-705x.2024.05.012

基于面板分位数回归的中国碳排放影响因素分析

Analysis of Influential Factors of Carbon Emission in Chi-na Based on Panel Quartile Regression

薛淑敏
上海节能2024,Issue(5) :813-818.DOI:10.13770/j.cnki.issn2095-705x.2024.05.012

基于面板分位数回归的中国碳排放影响因素分析

Analysis of Influential Factors of Carbon Emission in Chi-na Based on Panel Quartile Regression

薛淑敏1
扫码查看

作者信息

  • 1. 河南财经政法大学法学院
  • 折叠

摘要

利用2000-2019年中国的历史面板数据,建立分位数回归法探究了对外贸易水平、城镇化水平、产业结构升级和环境规制对中国碳排放的影响.实证研究发现,对外贸易和城镇化水平与碳排放量呈现正相关,而产业结构升级和环境规制与碳排放量呈现负相关.

Abstract

Using China's historical panel data from 2000-2019,a quantile regression is established to explore the impact of foreign trade level,urbanization level,industrial structure upgrading and environmental regulation on China's carbon emissions.The empirical study finds that foreign trade and urbanization level are positively related to carbon emissions,while industrial structure upgrading and environmental regulation are negatively related to carbon emissions.

关键词

计量模型/分位数回归/碳排放/因素分析

Key words

Econometric Modeling/Quantile Regression/Carbon Emission/Factor Analysis

引用本文复制引用

出版年

2024
上海节能
上海市节能协会,上海市节能监察中心

上海节能

影响因子:0.163
ISSN:
参考文献量9
段落导航相关论文