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数字基础设施建设、碳全要素生产率和碳回弹效应。

Digital infrastructure construction, carbon total factor productivity, and carbon rebound effect.

机构信息

School of Management, Hunan Institute of Engineering, Xiangtan, 411101, China.

School of Economics and Trade, Hunan University of Technology and Business, Changsha, 410205, China.

出版信息

Environ Sci Pollut Res Int. 2023 Aug;30(38):88968-88985. doi: 10.1007/s11356-023-28738-9. Epub 2023 Jul 14.

DOI:10.1007/s11356-023-28738-9
PMID:37450187
Abstract

Digital infrastructure construction (DIC) and low-carbon transformation are important engines and objective functions of the superior economic development, and the synergistic drive between the two is essential to achieving lasting economic development. Based on the panel data of 279 cities in China between 2007 and 2019, the econometric model system is used to explore the impact mechanism of DIC on carbon total factor productivity (CTFP), and the impact of DIC on carbon rebound effect (CRE) is further studied. Research findings that, first, the expansion of DIC has a nonlinear effect on CTFP, with a U-shaped link between the two; multiple robustness tests confirm that this is still true. Second, DIC and optimization of the energy consumption structure in a "U" curve relationship, and the major strategy for increasing CTFP is to reduce energy consumption, while industrial structure optimization and technical innovation have less of a intermediary effect. Third, further analysis reveals that there is a "U" shaped nonlinear connection between the DIC and the CRE, and energy savings and emission reductions in the later stages of DIC fall short of expectations. The current DIC is still dominated by episodic expansion. The findings of the study can better enhance CTFP, curb the CRE, put a limit on total carbon emissions and accelerate the decoupling of economic growth from carbon emissions.

摘要

数字基础设施建设(DIC)和低碳转型是推动经济高质量发展的重要引擎和客观功能,两者的协同驱动对于实现经济的可持续发展至关重要。本文基于 2007-2019 年中国 279 个城市的面板数据,利用计量经济学模型系统,探讨了 DIC 对碳全要素生产率(CTFP)的影响机制,并进一步研究了 DIC 对碳回弹效应(CRE)的影响。研究结果表明:首先,DIC 的扩张对 CTFP 存在非线性影响,两者之间存在 U 型关系;经过多次稳健性检验,结果仍然成立。其次,DIC 与能源消费结构优化之间呈“U”型关系,提高 CTFP 的主要策略是降低能源消耗,而产业结构优化和技术创新的中介效应较小。第三,进一步的分析表明,DIC 与 CRE 之间存在“U”型非线性关系,DIC 后期的节能减排效果低于预期。当前的 DIC 仍以阶段性扩张为主。本研究的结论可以更好地提高 CTFP,抑制 CRE,限制总碳排放量,并加速经济增长与碳排放的脱钩。

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