Analysis of regional carbon productivity differences and influencing factors—based on new green decomposition model

IF 1.9 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Frontiers in Physics Pub Date : 2024-05-17 DOI:10.3389/fphy.2024.1398261
Min Fu, Ying Mei, Lixin Tian, Chao Zhang
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Abstract

This paper introduces a new green decomposition model of carbon productivity that aims to further analyze the regional differences in carbon productivity and its interaction with regional industrial performance. We combine desired outputs and undesired outputs orientation, and multiple factor inputs to derive a new green decomposition theorem, establish a new green decomposition model of carbon productivity, and obtain nine effects of regional carbon productivity differences. Empirical analysis is conducted using input-output data from 29 provinces and 15 industries in China, comparing the differences in carbon productivity from both the provincial and industry perspectives and exploring the mechanism of action. This paper provides theoretical basis and empirical evidence for regional carbon productivity enhancement and economic and industrial optimization from the perspective of multi-factor inputs, as well as policy insights for regional low-carbon transition development.
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基于新型绿色分解模型的地区碳生产力差异及影响因素分析
本文介绍了一种新的碳生产率绿色分解模型,旨在进一步分析碳生产率的地区差异及其与地区产业绩效的互动关系。我们结合期望产出和非期望产出导向、多要素投入,推导出新的绿色分解定理,建立了新的碳生产率绿色分解模型,并得出区域碳生产率差异的九大效应。利用中国 29 个省份和 15 个行业的投入产出数据进行了实证分析,从省份和行业两个角度比较了碳生产率的差异,并探讨了其作用机理。本文从多因素投入的角度为区域碳生产率提升和经济产业优化提供了理论依据和实证证据,也为区域低碳转型发展提供了政策启示。
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来源期刊
Frontiers in Physics
Frontiers in Physics Mathematics-Mathematical Physics
CiteScore
4.50
自引率
6.50%
发文量
1215
审稿时长
12 weeks
期刊介绍: Frontiers in Physics publishes rigorously peer-reviewed research across the entire field, from experimental, to computational and theoretical physics. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, engineers and the public worldwide.
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