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Unraveling the dynamics of R&D and firm productivity: Empirical insights from 27 Chinese industries with regional and ownership differences

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  • Peng, Xin-Yi
  • Lin, Ching-Yi
  • Mai, Te-Ke

Abstract

This study examines R&D input and productivity dynamics in the context of the "Made in China 2025" initiative in China. Analyzing over 4000 enterprises across 27 industries from 2016 to 2019, it uncovers regional and ownership-based variations in productivity and R&D levels. The study highlights the link between R&D efficiency and innovation and identifies negative relationships between productivity persistence, R&D efficiency, and uncertainty. Additionally, it explores the impact of subsidies and R&D variations in achieving the goals of the "Made in China 2025" plan. These insights are valuable for policymakers seeking to enhance competitiveness in China's evolving business landscape.

Suggested Citation

  • Peng, Xin-Yi & Lin, Ching-Yi & Mai, Te-Ke, 2024. "Unraveling the dynamics of R&D and firm productivity: Empirical insights from 27 Chinese industries with regional and ownership differences," Finance Research Letters, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:finlet:v:59:y:2024:i:c:s1544612323010772
    DOI: 10.1016/j.frl.2023.104705
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    References listed on IDEAS

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    1. Bircan, Çağatay, 2019. "Ownership Structure and Productivity of Multinationals," Journal of International Economics, Elsevier, vol. 116(C), pages 125-143.
    2. Li, Hongbin & Yang, Zheyu & Yao, Xianguo & Zhang, Haifeng & Zhang, Junsen, 2012. "Entrepreneurship, private economy and growth: Evidence from China," China Economic Review, Elsevier, vol. 23(4), pages 948-961.
    3. Boeing, Philipp & Mueller, Elisabeth & Sandner, Philipp, 2016. "China's R&D explosion—Analyzing productivity effects across ownership types and over time," Research Policy, Elsevier, vol. 45(1), pages 159-176.
    4. Zhang, Rui & Sun, Kai & Delgado, Michael S. & Kumbhakar, Subal C., 2012. "Productivity in China's high technology industry: Regional heterogeneity and R&D," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 127-141.
    5. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    6. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    7. Lin, Chen & Lin, Ping & Song, Frank M. & Li, Chuntao, 2011. "Managerial incentives, CEO characteristics and corporate innovation in China's private sector," Journal of Comparative Economics, Elsevier, vol. 39(2), pages 176-190, June.
    8. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    9. Mo, Jiawei & Qiu, Larry D. & Zhang, Hongsong & Dong, Xiaoyu, 2021. "What you import matters for productivity growth: Experience from Chinese manufacturing firms," Journal of Development Economics, Elsevier, vol. 152(C).
    10. Ulrich Doraszelski & Jordi Jaumandreu, 2013. "R&D and Productivity: Estimating Endogenous Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1338-1383.
    11. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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