产业关联视角下中国部门间碳排放差异的驱动效应与协同治理

doi:10.14088/j.cnki.issn0439-8114.2025.11.030

摘要/Abstract

摘要： 基于投入产出模型和结构分解分析（SDA）构建包含碳排放系数、能源结构、能源效率、内部生产联系、外部生产联系、内部最终需求及外部最终需求的跨部门分解框架,揭示了2012—2020年中国产业部门间碳排放差异的驱动效应。结果表明,中国产业部门碳排放增速放缓,结构性矛盾凸显。水电气供应业、金属和非金属制品业、交通运输仓储和邮政业及化学工业是碳排放量最大的4个产业部门,这表明要实现整体碳减排目标,关键在于推动这些产业的绿色转型。内部和外部生产联系效应呈现显著异质性,采矿业内部生产联系效应驱动的碳排放低于设备制造业,化学工业外部生产联系效应驱动的碳排放高于设备制造业,形成“低碳孤岛-高碳网络”的困境。采矿业的内部最终需求效应虽显示出碳减排潜力,但外部最终需求效应大幅削弱了这一优势,表明跨部门协同治理存在短板,难以破解“高碳锁定”。基于此,中国政府应将高排放部门全面纳入碳交易市场,并构建有效的跨部门协同治理机制。通过产业链责任联动与技术共享实现经济发展与碳减排的双赢。

关键词: 产业, 部门, 碳排放差异, 投入产出模型, 结构分解分析, 中国

Abstract: Based on the input-output model and structural decomposition analysis (SDA), a cross-sectoral decomposition framework was constructed, which included carbon emission coefficients, energy structure, energy efficiency, internal production linkage, external production linkage, internal final demand, and external final demand, to reveal the driving effects of carbon emission disparities among China's industrial sectors from 2012 to 2020. The results indicated that the growth rate of carbon emissions in China's industrial sectors slowed down, while structural contradictions became prominent. The four sectors with the highest carbon emissions were the gas and water supply industry, metal and non-metal products industry, transportation, storage and postal industry, and chemical industry, suggesting that promoting green transformation in these sectors was crucial for achieving overall carbon emission reduction goals.Internal production linkage and external production linkage effects exhibited significant heterogeneity. The carbon emissions driven by the internal production linkage effect in the mining industry were lower than those in the equipment manufacturing industry, while the carbon emissions driven by the external production linkage effect in the chemical industry were higher than those in the equipment manufacturing industry, creating a “low-carbon island-high-carbon network” dilemma. Although the internal final demand effect in the mining industry demonstrated potential for carbon emission reduction, the external final demand effect significantly undermined this advantage, revealing shortcomings in cross-sectoral synergistic governance and difficulties in breaking the “high-carbon lock-in”.Based on these findings, the Chinese government should fully incorporate high-emission sectors into the carbon trading market and establish an effective cross-sectoral synergistic governance mechanism. Win-win outcomes for economic development and carbon emission reduction could be achieved through responsibility linkage and technology sharing within industrial chains.

Key words: industrial sectors, sectors, carbon emission disparities, input-output model, structural decomposition analysis, China

中图分类号:

X321

孙思睿, 徐晋成, 陈其勇. 产业关联视角下中国部门间碳排放差异的驱动效应与协同治理[J]. 湖北农业科学, 2025, 64(11): 222-229.

SUN Si-rui, XU Jin-cheng, CHEN Qi-yong. Driving effects and synergistic governance of inter-sectoral carbon emission disparities in China from the perspective of industrial linkage[J]. HUBEI AGRICULTURAL SCIENCES, 2025, 64(11): 222-229.

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