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Towards green economic recovery: how to improve green total factor productivity

Author

Listed:
  • Dongdong Lu

    (Nanjing University of Aeronautics and Astronautics)

  • Zilong Wang

    (Nanjing University of Aeronautics and Astronautics)

Abstract

Achieving green economic recovery is crucial to improving environmental quality and sustainable development. This study examines the influence of new digital infrastructure on green total factor productivity (GTFP) using panel data from 30 regions in China from 2008 to 2019. The results are as follows: (1) New digital infrastructure has a significant improvement effect on GTFP. After a series of robustness tests, the conclusion is still valid. (2) The improvement effect of new digital infrastructure on GTFP shows significant heterogeneity. In regions with high industrial agglomeration, high environmental regulation and strong government environmental preference, the improvement effect of new digital infrastructure on GTFP is more obvious. (3) New digital infrastructure improves GTFP through green technology innovation and factor allocation optimization. The government should strengthen the fiscal incentives for green technology development while increasing R&D investment in fiscal expenditure, thus promoting green economic recovery.

Suggested Citation

  • Dongdong Lu & Zilong Wang, 2023. "Towards green economic recovery: how to improve green total factor productivity," Economic Change and Restructuring, Springer, vol. 56(5), pages 3163-3185, October.
  • Handle: RePEc:kap:ecopln:v:56:y:2023:i:5:d:10.1007_s10644-023-09515-7
    DOI: 10.1007/s10644-023-09515-7
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    Cited by:

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    2. Jiang, Zeru & Yuan, Chunlai & Xu, Jingru, 2024. "The impact of digital government on energy sustainability: Empirical evidence from prefecture-level cities in China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    3. Ya-Nan Zhao & Chien-Chiang Lee, 2024. "How does industrial relocation affect carbon emissions? Evidence from Chinese cities," Economic Change and Restructuring, Springer, vol. 57(6), pages 1-33, December.
    4. Hanyu Zhang & Kaiyue Zhang & Taihua Yan & Xiaonan Cao, 2025. "The impact of digital infrastructure on regional green innovation efficiency through industrial agglomeration and diversification," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    5. Dong, Hao & Zheng, Yingrong & Tang, Yuhong, 2024. "Impact of FinTech on the industrial structural transformation: Evidence from China's resource-based cities," Resources Policy, Elsevier, vol. 91(C).
    6. Chen, Jing & Lv, Yanqin & Gao, Feng, 2024. "Exploring the relationship between digital infrastructure and carbon emission efficiency: New insights from the resource curse and green technology innovation in China," Resources Policy, Elsevier, vol. 98(C).
    7. Di Wang & Wei Dou & Jiajun Ning, 2025. "Can new infrastructure construction facilitate low-carbon energy transition? A quasi-natural experiment based on China’s smart city pilots," Economic Change and Restructuring, Springer, vol. 58(2), pages 1-35, April.
    8. Fengyu Zhao & Ziqing Xu & Xiaowen Xie, 2024. "Exploring the Role of Digital Economy in Enhanced Green Productivity in China’s Manufacturing Sector: Fresh Evidence for Achieving Sustainable Development Goals," Sustainability, MDPI, vol. 16(10), pages 1-21, May.

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    More about this item

    Keywords

    Green economic recovery; Green total factor productivity; New digital infrastructure; Industrial agglomeration; Environmental regulation; Government environmental preference;
    All these keywords.

    JEL classification:

    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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