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Firm scale, market share, and total factor productivity: Novel evidence from China's iron and steel firms

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  • Ma, Hongqi
  • He, Qiang

Abstract

Based on micro-data provided by the China Industrial Enterprises Database, this paper examines the mechanism through which the expansion of China's iron and steel firms affects total factor productivity via market share. The novel findings are as follows: (i) The "scale competitive advantage" formed by iron and steel firms expanding their scale to gain market share is not sustainable. "Making it bigger first" does not necessarily facilitate "making it stronger". (ii) During the institutional transition, administrative intervention is a crucial factor for local governments to help local firms gain market share. This factor significantly alters the nonlinear path through which expansion affects total factor productivity via market share, causing total factor productivity to decline earlier.

Suggested Citation

  • Ma, Hongqi & He, Qiang, 2025. "Firm scale, market share, and total factor productivity: Novel evidence from China's iron and steel firms," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 252-261.
  • Handle: RePEc:eee:streco:v:74:y:2025:i:c:p:252-261
    DOI: 10.1016/j.strueco.2025.03.011
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    1. Wei, Shang-Jin & Parsley, David, 2001. "Limiting Currency Volatility to Stimulate Goods Market Integration: a Price-Based Approach," CEPR Discussion Papers 2958, C.E.P.R. Discussion Papers.
    2. Zhangkai Huang & Lixing Li & Guangrong Ma & Lixin Colin Xu, 2017. "Hayek, Local Information, and Commanding Heights: Decentralizing State-Owned Enterprises in China," American Economic Review, American Economic Association, vol. 107(8), pages 2455-2478, August.
    3. Parsley, David C. & Wei, Shang-Jin, 2001. "Explaining the border effect: the role of exchange rate variability, shipping costs, and geography," Journal of International Economics, Elsevier, vol. 55(1), pages 87-105, October.
    4. Shen, Guangjun & Chen, Binkai, 2017. "Zombie firms and over-capacity in Chinese manufacturing," China Economic Review, Elsevier, vol. 44(C), pages 327-342.
    5. Jörn-Steffen Pischke, 2001. "Continuous training in Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(3), pages 523-548.
    6. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    7. Huang, Junbing & Cai, Xiaochen & Huang, Shuo & Tian, Sen & Lei, Hongyan, 2019. "Technological factors and total factor productivity in China: Evidence based on a panel threshold model," China Economic Review, Elsevier, vol. 54(C), pages 271-285.
    8. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
    9. 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.
    10. Soete, Luc L. G., 1979. "Firm size and inventive activity : The evidence reconsidered," European Economic Review, Elsevier, vol. 12(4), pages 319-340, October.
    11. Chen, Xiaoqing & Liu, Xinwang & Zhu, Qingyuan, 2022. "Comparative analysis of total factor productivity in China's high-tech industries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Raphael Kaplinsky & Mike Morris, 2016. "Thinning and Thickening: Productive Sector Policies in The Era of Global Value Chains," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 28(4), pages 625-645, September.
    13. Serguey Braguinsky & Atsushi Ohyama & Tetsuji Okazaki & Chad Syverson, 2015. "Acquisitions, Productivity, and Profitability: Evidence from the Japanese Cotton Spinning Industry," American Economic Review, American Economic Association, vol. 105(7), pages 2086-2119, July.
    14. Kumar, Nagesh & Saqib, Mohammed, 1996. "Firm size, opportunities for adaptation and in-house R & D activity in developing countries: the case of Indian manufacturing," Research Policy, Elsevier, vol. 25(5), pages 713-722, August.
    15. An, Heng & Chen, Carl R. & Wu, Qun & Zhang, Ting, 2021. "Corporate Innovation: Do Diverse Boards Help?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(1), pages 155-182, February.
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    Keywords

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    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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