火电行业碳全要素生产率、技术进步与效率追赶

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摘要选取2001~2021年中国30个省份的面板数据，基于SuperSBM-GML模型对中国火电行业碳全要素生产率的变化及其源泉进行分析，进而利用门槛模型检验外商投资水平和研发强度在低碳技术进步、节能减排效率方面对碳全要素生产率影响中的非线性门槛效应.结果表明，我国火电行业碳全要素生产率总体上改善1.3%，其中低碳技术进步是其改善的主要来源；八大经济区测算结果表明，发达经济区碳全要素生产率平均效率值（1.015）高于欠发达经济区（1.006），同时发达经济区低碳技术进步的追赶效应也明显高于欠发达经济区，而欠发达经济区节能减排效率的改善更为显著.外商投资水平的门槛效应检验表明，较低的外商投资水平抑制了低碳技术进步与碳全要素生产率之间的正向促进作用；研发强度的门槛效应检验表明，随着研发强度的提升，节能减排效率的改进对碳全要素生产率的正向效应显著增强.

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关键词 ： SuperSBM-GML模型, 碳全要素生产率, 低碳技术进步, 减排效率, 门槛模型

Abstract：According to the panel data of selected 30 provinces in China from 2001 to 2021, this paper analyzes the changes and sources of total carbon factor productivity in China's thermal power industry based on the SuperSBM-GML model. And then the threshold model was used to test the nonlinear threshold effect of foreign investment level and R&D intensity on carbon total factor productivity in terms of low-carbon technological progress, energy saving and emission reduction efficiency. The results show that the total carbon factor productivity of China's thermal power industry improved by 1.3% in general, of which low-carbon technological progress was the main source of its improvement. The results of the eight economic zones show that the average efficiency value of carbon total factor productivity in developed economic zones (1.015) was higher than that in less developed economic zones (1.006). At the same time, the catching-up effect of low-carbon technological progress in the developed economic zones was also significantly higher than that in the less developed ones. However, the improvement of energy conservation and emission reduction efficiency was more significant in less developed economic zones. The test of threshold effect of foreign investment level manifests that lower foreign investment level inhibits the positive promotion effect between low-carbon technological progress and carbon total factor productivity; the test of threshold effect of R&D intensity demonstrates that the improvement of energy saving and emission reduction efficiency had a significant positive effect on carbon total factor productivity with the increase of R&D intensity.

Key words： SuperSBM-GML model carbon total factor productivity low carbon technological progress emission reduction efficiency threshold model

收稿日期: 2023-03-15

PACS:

X24

基金资助:国家自然科学基金资助项目（72103113）

通讯作者: 高文静,副教授,sinceregwj@163.com E-mail: sinceregwj@163.com

作者简介: 高文静(1982-),女,山西阳泉人,副教授,博士,主要从事能源经济理论与政策、能源经济统计分析、低碳经济研究.发表论文10余篇.sinceregwj@163.com.

引用本文:

高文静, 杨舒怡. 火电行业碳全要素生产率、技术进步与效率追赶[J]. 中国环境科学, 2023, 43(11): 6172-6182. GAO Wen-jing, YANG Shu-yi. Carbon total factor productivity, technological progress and efficient catching up in the thermal power sector. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(11): 6172-6182.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I11/6172

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