Business School, China University of Political Science and Law, Beijing, China.
School of Finance, Anhui University of Finance and Economics, Bengbu, China.
PLoS One. 2024 Jun 27;19(6):e0300478. doi: 10.1371/journal.pone.0300478. eCollection 2024.
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.
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。