The carbon emission reduction effect and carbon emission performance improvement under green innovation driven:Based on city-level panel data in China
FANG Guochang
MENG Aoxiang
Abstract：This paper explores the enhancement of carbon emissions performance driven by green innovation,based on panel data from 270 cities in China.It studies the impact of total green patent grants on carbon emissions performance and analyzes the mediating role of R & D spending.The research findings show that green innovation significantly enhances carbon emissions performance,verifying the key role of green innovation in achieving the"dual carbon"goal.By employing various econometric methods,including fixed effects models,mediating effect models,and quantile regression,the paper reveals the indirect effects of green innovation through R&D spending and digital economy,etc.Furthermore,the heterogeneity analysis shows that there are significant differences in the impact of green patents on carbon emissions performance between the eastern and western regions and the Yangtze River Economic Belt,reflecting different levels of economic development and policy environments in different regions.Finally,the paper proposes corresponding policy recommendations for different quantile points to provide theoretical support and practical guidance for China to achieve sustainable development goals.
Keywords：the dual carbon targetgreen innovationcarbon emission performanceR&D spendingeconometric methods
Publication Date：2025-01-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 27-34 )