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中国省际间蕴含碳排放量及其产业转移路径。

Inter-provincial embodied carbon emission space and industrial transfer paths in China.

机构信息

Business School, China University of Political Science and Law, Beijing, China.

School of Finance, Anhui University of Finance and Economics, Bengbu, China.

出版信息

PLoS One. 2024 Jun 27;19(6):e0300478. doi: 10.1371/journal.pone.0300478. eCollection 2024.

Abstract

To bolster the dual-circulation development model and green economy, this study delves into the spatiotemporal dynamics of implied carbon transfer in China's inter-provincial and inter-industrial trade, emphasizing its significance for the "dual carbon" objectives. Utilizing multi-regional input-output data from 2012, 2015, and 2017, we employed the multi-region input-output model to gauge embodied carbon transfers across 31 provinces and 28 industries. The Structural Decomposition Analysis (SDA) model further decomposed the growth of trade-related carbon emissions. Key findings include: (1) The electricity and thermal power sectors dominate carbon transfers, with secondary industries seeing rapid growth; (2) Northern provinces significantly outweigh southern ones in carbon transfers and the main direction of it is towards affluent southern coastal regions; (3) Scale effect plays a pivotal role in these transfers. Conclusively, it is crucial for regulatory authorities to rationally formulate region-specific emission policies for inter-regional coordination, and future studies can focus on industrial and spatial clustering effects.

摘要

为了支持双循环发展模式和绿色经济,本研究深入探讨了中国省际和产业间贸易隐含碳转移的时空动态,强调了其对“双碳”目标的重要性。利用 2012、2015 和 2017 年的多区域投入产出数据,我们采用多区域投入产出模型衡量了 31 个省份和 28 个行业的隐含碳转移。结构分解分析(SDA)模型进一步分解了贸易相关碳排放的增长。主要发现包括:(1)电力和热力部门主导碳转移,第二产业增长迅速;(2)北方省份在碳转移方面明显超过南方省份,其主要方向是富裕的南方沿海地区;(3)规模效应在这些转移中起着关键作用。总之,监管机构有必要为区域间协调制定有针对性的区域排放政策,未来的研究可以关注产业和空间集聚效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d384/11210824/02dce0a65e2d/pone.0300478.g001.jpg

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