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Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones

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  • Hongjun Sun

    (National Library of Standards, China National Institute of Standardization, Beijing 100191, China)

  • Zuoxiang Zhao

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China)

  • Ding Han

    (International Business Strategy Institute, University of International Business and Economics, Beijing 100029, China)

Abstract

Total factor productivity (TFP) serves as a crucial indicator of high-quality development, showcasing a region’s utilization of technological advancements and innovative strategies to enhance production efficiency. With China’s regions experiencing varying levels of development, the paths to high-quality development in NHTZs also exhibit significant disparities. Analyzing data from 88 NHTZs between 2011 and 2018, this research aims to explore differences in TFP growth models and the mechanisms influencing these models. Employing stochastic frontier analysis (SFA) and the Tobit model, the study identifies three TFP growth models: technology-led, multi-efficiency improvement, and scale efficiency compensation. While factors such as capital accumulation, overseas market participation, and patent output moderately hinder TFP growth, innovation platforms, R&D investment, and overseas talent acquisition significantly contribute to TFP enhancement. Distinguishing itself from existing TFP studies, this paper focuses on NHTZs, highlighting their role in regional high-tech industry development. It introduces three TFP growth models and their characteristics while also uncovering influencing factors for each model. This research offers valuable insights into regional disparities in high-quality development and contributes to understanding TFP growth dynamics in NHTZs.

Suggested Citation

  • Hongjun Sun & Zuoxiang Zhao & Ding Han, 2024. "Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3245-:d:1374922
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    1. Aki Tomizawa & Li Zhao & Geneviève Bassellier & David Ahlstrom, 2020. "Economic growth, innovation, institutions, and the Great Enrichment," Asia Pacific Journal of Management, Springer, vol. 37(1), pages 7-31, March.
    2. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    3. Lindelof, Peter & Lofsten, Hans, 2003. "Science Park Location and New Technology-Based Firms in Sweden--Implications for Strategy and Performance," Small Business Economics, Springer, vol. 20(3), pages 245-258, May.
    4. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    5. Yali Liu & Ming Lu & Kuanhu Xiang, 2018. "Balance through Agglomeration: A Race between Geography and Policy in China's Regional Development," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(6), pages 72-96, November.
    6. Miller, Stephen M. & Upadhyay, Mukti P., 2000. "The effects of openness, trade orientation, and human capital on total factor productivity," Journal of Development Economics, Elsevier, vol. 63(2), pages 399-423, December.
    7. Subal Kumbhakar & Christopher Parmeter, 2009. "The effects of match uncertainty and bargaining on labor market outcomes: evidence from firm and worker specific estimates," Journal of Productivity Analysis, Springer, vol. 31(1), pages 1-14, February.
    8. Inmaculada Álvarez-Ayuso & M. Jesús Delgado-Rodríguez & M. del Mar Salinas-Jiménez, 2011. "Explaining TFP growth in the European Union at the sector level," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 14(3), pages 189-199.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Dieter Franz Kogler & Gaston Heimeriks & Loet Leydesdorff, 2018. "Patent portfolio analysis of cities: statistics and maps of technological inventiveness," European Planning Studies, Taylor & Francis Journals, vol. 26(11), pages 2256-2278, November.
    11. Barry Bosworth & Susan M. Collins, 2008. "Accounting for Growth: Comparing China and India," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 45-66, Winter.
    12. Hu, Albert Guangzhou & Jefferson, Gary H., 2009. "A great wall of patents: What is behind China's recent patent explosion?," Journal of Development Economics, Elsevier, vol. 90(1), pages 57-68, September.
    13. Sjoerd Beugelsdijk & Mariko J. Klasing & Petros Milionis, 2018. "Regional economic development in Europe: the role of total factor productivity," Regional Studies, Taylor & Francis Journals, vol. 52(4), pages 461-476, April.
    14. Tomasz Kijek & Anna Matras-Bolibok, 2019. "The relationship between TFP and innovation performance: evidence from EU regions," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(4), pages 695-709, December.
    15. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    16. Andreoni, Antonio & Chang, Ha-Joon, 2019. "The political economy of industrial policy: Structural interdependencies, policy alignment and conflict management," Structural Change and Economic Dynamics, Elsevier, vol. 48(C), pages 136-150.
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