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数字经济是否提高了中国的综合全要素生产率?

Does the digital economy improve comprehensive total factor productivity in China?

机构信息

College of Economics and Management, Henan Agricultural University, Zhengzhou, China.

School of Economics, Henan University of Economics and Law, Zhengzhou, China.

出版信息

Front Public Health. 2024 Jun 14;12:1352754. doi: 10.3389/fpubh.2024.1352754. eCollection 2024.

Abstract

Total factor productivity is an important symbol of high-quality economic development. At present, the question of whether the digital economy can infuse fresh impetus into enhancing total factor productivity has emerged as a prominent concern in China. This paper constructs a new undesirable output to measure comprehensive total factor productivity (CTFP) with the slack-based measure (SBM) undesirable Malmquist-Luenberger index by using 2011-2020 Chinese provincial panel data. Then, this paper explores the impact of the digital economy (DIG) on CTFP with a fixed effects (FE) panel model and a mediating effect model. The results show that CTFP increases by an average of 3.9%, technical efficiency contributes -1.1%, and the contribution rate of technological progress is 5.0%. Technological progress is the main source of CTFP growth. The empirical findings show that the DIG has a positive and significant impact on CTFP. This paper conducts various robustness tests, and the results remain consistent with the previous conclusion. Moreover, mechanism tests suggest that the promoting effect of the DIG on CTFP can be attributed to three main effects: technological innovation, the factor endowment structure and the educational level. Furthermore, the results of heterogeneity analysis demonstrate that the promoting effect of the DIG on CTFP exists in China's eastern, central and western regions. The findings of this research can serve as a valuable reference for informing decision-making processes related to environmental governance and high-quality economic development in China.

摘要

全要素生产率是高质量经济发展的重要标志。目前,数字经济能否为提高全要素生产率注入新动力,已成为中国的一个突出问题。本文利用 2011-2020 年中国省级面板数据,构建了一个新的非期望产出,采用基于松弛的测度(SBM)非期望 Malmquist-Luenberger 指数来衡量综合全要素生产率(CTFP)。然后,本文利用固定效应(FE)面板模型和中介效应模型,探讨了数字经济(DIG)对 CTFP 的影响。结果表明,CTFP 平均增长 3.9%,技术效率贡献-1.1%,技术进步贡献率为 5.0%。技术进步是 CTFP 增长的主要来源。实证结果表明,DIG 对 CTFP 具有正向且显著的影响。本文进行了各种稳健性检验,结果与之前的结论一致。此外,机制检验表明,DIG 对 CTFP 的促进作用可以归因于技术创新、要素禀赋结构和教育水平三个主要效应。进一步的异质性分析结果表明,DIG 对 CTFP 的促进作用在中国东部、中部和西部地区都存在。本研究的结论可为中国环境治理和高质量经济发展的决策提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ecb/11211368/223431f72704/fpubh-12-1352754-g001.jpg

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