追踪制造业相关碳排放的变化:从中国的角度进行结构分解分析

IF 5 2区 经济学 Q1 ECONOMICS Structural Change and Economic Dynamics Pub Date : 2024-09-06 DOI:10.1016/j.strueco.2024.09.003
Quanxi Yuan , Qingchun Wang , Meichen Zhang
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引用次数: 0

摘要

本研究利用基于国家间投入产出分析的结构分解模型,分析了中国五大贸易伙伴的碳排放量变化。利用 2007 年、2012 年、2017 年和 2021 年的不变价格投入产出表分析了主要影响因素。将 2007-2021 年贸易伙伴经济体的碳排放量变化分解为 15 个基本因素,研究中间需求和最终需求的影响,然后分离出中国中间需求和最终需求的影响。结果如下(i) 发达经济体的碳排放量在 Covid-19 大流行后先降后升,而东盟经济体的碳排放量则稳步上升。(ii) 碳强度是影响碳排放的最重要因素之一。(iii) 中国不断扩大的最终需求规模导致初级和自然资源产业、资本密集型制造 业和知识密集型制造业的碳排放量增加。
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Tracing changes in manufacturing-related carbon emissions: A structural decomposition analysis from the perspective of China

This study analyzed changes in the carbon emissions of China's top five trading partners using a structural decomposition model based on inter-country input-output analysis. The main influencing factors were analyzed using constant price input-output tables for 2007, 2012, 2017, and 2021. Changes in the carbon emissions of the trading partner economies during 2007–2021 were decomposed into 15 essential factors to investigate the impacts of intermediate and final demands, and then isolate the influence of intermediate and final demands of China. The results revealed the following: (i) Carbon emissions in the developed economies experienced decline followed by increase after the Covid-19 pandemic, whereas ASEAN economies experienced steady increase in carbon emissions. (ii) Carbon intensity was one of the most important factors affecting carbon emissions. (iii) The size of China's expanding final demand contributed to an increase in carbon emissions in the primary and natural resources industry, capital-intensive manufacturing industry, and knowledge-intensive manufacturing industry.

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来源期刊
CiteScore
9.60
自引率
4.90%
发文量
159
期刊介绍: Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.
期刊最新文献
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