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中国各省碳生产率的衡量与驱动因素:基于隐含碳排放视角。

Measurement and driving factors of carbon productivity in China's provinces: From the perspective of embodied carbon emissions.

机构信息

School of Economics and Management, Southeast University, Nanjing, China.

School of Economics, Nanjing University of Posts and Telecommunications, Nanjing, China.

出版信息

PLoS One. 2023 Aug 4;18(8):e0287842. doi: 10.1371/journal.pone.0287842. eCollection 2023.

DOI:10.1371/journal.pone.0287842
PMID:37540680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10403082/
Abstract

Carbon productivity incorporates economic development and carbon emissions within a unified framework for measuring the economic value per unit carbon emissions. In the context of climate change, improving carbon productivity is of great value for promoting low-carbon development in a country or region. From the perspective of embodied carbon emissions, this study constructs an embodied carbon productivity (ECP) index and uses the Logarithmic Mean Divisia Index decomposition method to study the evolution trends and driving factors of ECP in China's provinces based on China Interregional Input-Output Tables for 2002, 2007, 2012, and 2017. The following results were obtained: First, China's overall ECP showed a continuously increasing trend during the entire period, with the energy efficiency factor playing the largest role among all driving factors. Second, the ECP in 19 of the 30 Chinese provinces continued to increase and the contributions of energy emission ratio, ECP per capita, and population size factors to the increase in ECP presented evident disparities among different provinces. Third, the ECP in three major regions ranged from high to low in the order of East, Central, and West, with the largest growth in the Central, followed by the West, with the smallest in the East. Based on the analysis of research results, we proposed relevant policy recommendations to further improve China's ECP and achieve low-carbon economy.

摘要

碳生产力将经济发展和碳排放纳入一个统一的框架中,用于衡量单位碳排放的经济价值。在气候变化背景下,提高碳生产力对于促进国家或地区的低碳发展具有重要意义。从隐含碳排放的角度出发,本研究构建了一个隐含碳生产力(ECP)指数,并利用对数平均迪氏指数分解方法,基于中国 2002、2007、2012 和 2017 年的区域间投入产出表,研究了中国各省 ECP 的演变趋势和驱动因素。主要结果如下:首先,中国整体 ECP 呈现持续增长趋势,其中能源效率因素在所有驱动因素中发挥了最大作用。其次,在 30 个中国省份中,有 19 个省份的 ECP 持续增长,能源排放比、人均 ECP 和人口规模因素对 ECP 增长的贡献在不同省份之间存在明显差异。第三,三大区域的 ECP 呈现东部、中部和西部依次递减的格局,中部增长最大,西部次之,东部最小。基于研究结果的分析,我们提出了相关政策建议,以进一步提高中国的 ECP,实现低碳经济。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/a47f56f46145/pone.0287842.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/e567c4711e3e/pone.0287842.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/f6e5ad94aff0/pone.0287842.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/8ace674e399d/pone.0287842.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/b1fc11d7a621/pone.0287842.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/a47f56f46145/pone.0287842.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/e567c4711e3e/pone.0287842.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/f6e5ad94aff0/pone.0287842.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/8ace674e399d/pone.0287842.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/b1fc11d7a621/pone.0287842.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e3/10403082/a47f56f46145/pone.0287842.g005.jpg

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