Scholarlink

<p>The Yellow River Basin (YRB) is the core region for promoting the comprehensive green transformation of the economy and society in Northern China. This paper comprehensively employs the pollutant reduction and carbon reduction (PR-CR) synergy coefficient and multiple regression models to analyze the spatiotemporal characteristics of PR-CR synergistic effects and explore PR-CR paths for different types of cities, based on panel data of 60 prefecture-level cities in the YRB from 2005 to 2020. The results show that: (1) The atmospheric pollutant emission intensity (PEI) and CO₂ emission intensity (CEI) of each city showed a decreasing trend, with more than 85% of the cities experiencing decreases of 90% and 35%, respectively. (2) The number of cities that did not synergize in PR-CR was gradually increasing, but the gap was gradually narrowing. The synergistic effects of pollutant and carbon reduction vary by region. (3) The scale effect is a key factor common to all three types of cities, while other influencing factors exhibited spatial heterogeneity. Based on the key factors of PR-CR, this paper proposed the emission reduction path of “Tailored Policy for Each Category” in order to provide a reference for promoting the realization of the strategic goal of green, low-carbon, and high-quality development in the YRB.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Study on the synergistic effect of pollution and carbon reduction and the emission reduction path of “Tailored Policy for Each Category”: evidence from the yellow river Basin, China

  • 期刊论文

  • 发表日期：

    2025年10月24日

查看全文
  • Wei Shi,
  • Weijuan Wang,
  • Wei Wei,
  • Chengyuan Wang,
  • Jun Ge,
  • Runzhu Pei,
  • Luyao Zhang

摘要

The Yellow River Basin (YRB) is the core region for promoting the comprehensive green transformation of the economy and society in Northern China. This paper comprehensively employs the pollutant reduction and carbon reduction (PR-CR) synergy coefficient and multiple regression models to analyze the spatiotemporal characteristics of PR-CR synergistic effects and explore PR-CR paths for different types of cities, based on panel data of 60 prefecture-level cities in the YRB from 2005 to 2020. The results show that: (1) The atmospheric pollutant emission intensity (PEI) and CO₂ emission intensity (CEI) of each city showed a decreasing trend, with more than 85% of the cities experiencing decreases of 90% and 35%, respectively. (2) The number of cities that did not synergize in PR-CR was gradually increasing, but the gap was gradually narrowing. The synergistic effects of pollutant and carbon reduction vary by region. (3) The scale effect is a key factor common to all three types of cities, while other influencing factors exhibited spatial heterogeneity. Based on the key factors of PR-CR, this paper proposed the emission reduction path of “Tailored Policy for Each Category” in order to provide a reference for promoting the realization of the strategic goal of green, low-carbon, and high-quality development in the YRB.