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Fiscal science and technology expenditure, industrial agglomeration and green total factor productivity: Experiences from China

Author

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  • Chen, Lei
  • Hu, Lijun
  • He, Fang
  • Rao, Zhenzhen

Abstract

The Fiscal Science and Technology Expenditure (FSTE) serves as a crucial policy instrument for promoting green technology innovation, with demonstrable effects on industrial agglomeration and Green Total Factor Productivity (GTFP). This paper systematically describes the relationship between FSTE, industrial agglomeration and GTFP, and then empirically analyses the mediating role among the three, combined with panel data from 288 Chinese cities. Overall, FSTE and industrial agglomeration are conducive to GTFP, and FSTE can indirectly affect GTFP through industrial agglomeration. When there are differences in economic development and regional scale, there are significant differences in the effects of FSTE and industrial agglomeration on GTFP. FSTE inhibits industrial agglomeration in regions with high levels of economic development, but the mediating effect of industrial agglomeration on GTFP is prominent in regions with low and medium levels of development. For large cities, the effect of FSTE on industrial agglomeration is not significant and industrial agglomeration does not affect GTFP, but the mediating effect about industrial agglomeration is significant in small and medium-sized cities. In eastern China, FSTE has a hindering effect on GTFP through industrial agglomeration, but it has a promoting effect in central and western China. This paper helps to understand the role of science and technology spending on green production as well as agglomeration of enterprises.

Suggested Citation

  • Chen, Lei & Hu, Lijun & He, Fang & Rao, Zhenzhen, 2025. "Fiscal science and technology expenditure, industrial agglomeration and green total factor productivity: Experiences from China," Finance Research Letters, Elsevier, vol. 85(PE).
    • Handle: RePEc:eee:finlet:v:85:y:2025:i:pe:s1544612325014540
    DOI: 10.1016/j.frl.2025.108199
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    1. Zhang, Xiaoqian & Yao, Shujie & Zheng, Weiwei & Fang, Jing, 2023. "On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship," Energy, Elsevier, vol. 283(C).
    2. Azomahou, Théophile T. & Diene, Bity & Diene, Mbaye, 2013. "Nonlinearities in productivity growth: A semi-parametric panel analysis," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 45-75.
    3. Tian, Ying & Feng, Chao, 2022. "The internal-structural effects of different types of environmental regulations on China's green total-factor productivity," Energy Economics, Elsevier, vol. 113(C).
    4. Weijun He & Yizhan Li & Xu Meng & Mengfei Song & Thomas Stephen Ramsey & Min An, 2024. "Will green technological progress help industrial collaborative agglomeration increase regional carbon productivity: evidence from Yangtze River Delta urban agglomerations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26019-26046, October.
    5. Chen, Jiandong & Li, Yuqing & Xu, Yiyin & Vardanyan, Michael & Shen, Zhiyang & Song, Malin, 2023. "The impact of fiscal technology expenditures on innovation drive and carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    6. Stuart S. Rosenthal & William C. Strange, 2020. "How Close Is Close? The Spatial Reach of Agglomeration Economies," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 27-49, Summer.
    7. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411, August.
    8. Bity Diene & Mbaye Diene & Théophile Azomahou, 2013. "Nonlinearities in Productivity Growth: A Semi-parametric Panel Analysis," Post-Print halshs-00914557, HAL.
    9. Philippe Aghion & Jing Cai & Mathias Dewatripont & Luosha Du & Ann Harrison & Patrick Legros, 2022. "Industrial Policy and Competition," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 15, pages 349-380, World Scientific Publishing Co. Pte. Ltd..
    10. Liang, Jiaochen & Goetz, Stephan J., 2018. "Technology intensity and agglomeration economies," Research Policy, Elsevier, vol. 47(10), pages 1990-1995.
    11. Andrew Phiri & Chuma Mbaleki & Christian Nsiah, 2022. "Fiscal expenditures, revenues and labour productivity in South Africa," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2062912-206, December.
    12. Xu, Jing & Hu, Weiwei, 2024. "How do external resources influence a firm's green innovation? A study based on absorptive capacity," Economic Modelling, Elsevier, vol. 133(C).
    13. Zagorchev, Andrey & Vasconcellos, Geraldo & Bae, Youngsoo, 2011. "Financial development, technology, growth and performance: Evidence from the accession to the EU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 743-759.
    14. Hu, Cui & Xu, Zhaoyuan & Yashiro, Naomitsu, 2015. "Agglomeration and productivity in China: Firm level evidence," China Economic Review, Elsevier, vol. 33(C), pages 50-66.
    15. Yihang Zhao & Chen Liang & Xinlong Zhang, 2021. "Positive or negative externalities? Exploring the spatial spillover and industrial agglomeration threshold effects of environmental regulation on haze pollution in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11335-11356, August.
    16. Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2020. "Public R&D spending and cross-sectional stock returns," Research Policy, Elsevier, vol. 49(1).
    17. Klein, Mathias & Polattimur, Hamza & Winkler, Roland, 2022. "Fiscal spending multipliers over the household leverage cycle," European Economic Review, Elsevier, vol. 141(C).
    18. Forsman, Helena, 2011. "Innovation capacity and innovation development in small enterprises. A comparison between the manufacturing and service sectors," Research Policy, Elsevier, vol. 40(5), pages 739-750, June.
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