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Effects of Science and Technology Finance on Green Total Factor Productivity in China: Insights from an Empirical Spatial Durbin Model

Author

Listed:
  • Ying Lu

    (Shandong University of Technology)

  • Mahmood Ahmad

    (Shandong University of Technology)

  • Haotian Zhang

    (Shandong University of Technology)

  • Jingxian Guo

    (Shandong University of Technology)

Abstract

Undoubtedly, science and technology (sci-tech) finance plays a vital role in promoting innovation and industrial structure. Sci-tech finance may also affect green total factor productivity (GTFP). However, the research that integrates sci-tech finance and GTFP in the same environmental policy framework is still scant. In this context, the spatial spillover effect and mechanism of the impact of sci-tech finance on GTFP were empirically analyzed using the panel data of 30 provinces in China from 2010 to 2020. The slacks-based measure (SBM) model of non-expected output and the GML index were used to measure the GTFP, and the entropy weight method was used to measure the development level of sci-tech finance in each province. The results unveil that sci-tech finance and GTFP in China have significant spatial autocorrelation and spatial disequilibrium; the positive driving effect of sci-tech finance on GTFP has a significant spatial spillover effect. The mechanism test finds that sci-tech finance enhances local GTFP by expanding R&D expenditures and optimizing industrial structure, and the spatial spillover effect of sci-tech finance on GTFP in neighboring regions is realized by expanding R&D expenditures in neighboring regions. The heterogeneity test found that sci-tech finance has a significant positive effect on GTFP in the eastern region, an insignificant positive effect on the central regions, and a significant negative effect on the western and northeastern regions. Therefore, regional collaboration alliances should be established to fully play the spatial effect of sci-tech finance and enhance GTFP.

Suggested Citation

  • Ying Lu & Mahmood Ahmad & Haotian Zhang & Jingxian Guo, 2024. "Effects of Science and Technology Finance on Green Total Factor Productivity in China: Insights from an Empirical Spatial Durbin Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7280-7306, June.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:2:d:10.1007_s13132-023-01306-9
    DOI: 10.1007/s13132-023-01306-9
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    2. Xiang Chen & Ting An & Yanan Liu & Jiaqi Hao, 2025. "Exploring the role of science and technology finance in carbon emissions reduction: evidence from China," Climatic Change, Springer, vol. 178(8), pages 1-25, August.

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