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碳排放决定因素:甘肃省多尺度分解。

Determinants of carbon emission: A multiple scale decomposition of Gansu Province.

机构信息

School of Economics and Finance, Hohai University, Changzhou, China.

The University of the South Pacific, Suva, Fiji.

出版信息

PLoS One. 2024 Sep 6;19(9):e0309467. doi: 10.1371/journal.pone.0309467. eCollection 2024.

DOI:10.1371/journal.pone.0309467
PMID:39240986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11379236/
Abstract

China, being the largest contributor to total carbon emissions, still has a long way to go in energy conservation and emission reduction. Employing the structural decomposition analysis (SDA) method and using input-output table data, this study examines the evolution of carbon emissions resulting from energy consumption in Gansu Province in China over the period 2007 to 2017. By exploring carbon emission driving factors and identifying key final demand and sectors for carbon emissions, Gansu province can formulate more effective emission reduction policies that can balance economic development and carbon emission control. The key findings are as follows: 1) Regarding the driving factors, both the energy intensity effect and the demand sector structure effect emerge as the main contributors to emission reduction. Conversely, the total demand effect and the input-output structure effect predominantly led to emission increase. 2) In terms of each final demand, urban residents' consumption, rural residents' consumption and outflow represent the primary categories contributing to increased emissions. 3) The sectors experiencing the most significant decline in carbon emissions and carbon intensity are Electricity, Heat Production and Supply Industry, while Metal Smelting and Rolling Processing Industry as well as Construction Industry are the primary contributors to increasing emissions. Consequently, to achieve the carbon neutrality goal, Gansu governments should consider all these factors and propose mitigation policies in light of the local realities.

摘要

中国作为全球碳排放量最大的国家,在节能减排方面任重道远。本文采用结构分解分析(SDA)方法,利用投入产出表数据,研究了 2007-2017 年中国甘肃省能源消费导致的碳排放演变。通过探讨碳排放量的驱动因素,识别关键的最终需求和碳排放部门,甘肃省可以制定更有效的减排政策,实现经济发展和碳排放控制的平衡。主要结论如下:1)就驱动因素而言,能源强度效应和需求部门结构效应均为减排的主要贡献者,而总需求效应和投入产出结构效应则主要导致了排放量的增加。2)从各最终需求来看,城镇居民消费、农村居民消费和净流出是导致排放量增加的主要类别。3)碳排放和碳强度降幅最大的部门是电力、热力生产和供应业,而金属冶炼和压延加工业以及建筑业则是导致排放量增加的主要部门。因此,为实现碳中和目标,甘肃政府应综合考虑这些因素,并根据当地实际情况提出减排政策。

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