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Technological relatedness and asymmetrical firm productivity gains under market reforms in China

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  • Anthony Howell
  • Canfei He
  • Rudai Yang
  • Cindy Fan

Abstract

This article employs fixed effect quantile regression techniques to study the effects of technological relatedness on firm productivity and to investigate whether the size of those effects varies for low and high performing firms. Next, we consider how changes in the local industrial mix brought about by China’s market reforms influence the ability of different types of firms to benefit from technological-related spillovers. The findings highlight the important role that technological relatedness has on increasing firm productivity, providing some support for the idea that regions should pursue a strategy of ‘regional branching’ to evolve the local industrial mix into related economic activities. The findings also reveal, however, that increasing technological relatedness may asymmetrically harm underperforming firms and widen disparities in productivity between local firms.

Suggested Citation

  • Anthony Howell & Canfei He & Rudai Yang & Cindy Fan, 2016. "Technological relatedness and asymmetrical firm productivity gains under market reforms in China," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(3), pages 499-515.
    • Handle: RePEc:oup:cjrecs:v:9:y:2016:i:3:p:499-515.
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    File URL: http://hdl.handle.net/10.1093/cjres/rsw024
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    References listed on IDEAS

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    1. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
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    Cited by:

    1. He, Ming & Chen, Yang & van Marrewijk, Charles, 2021. "The effects of urban transformation on productivity spillovers in China," Economic Modelling, Elsevier, vol. 95(C), pages 473-488.
    2. Fandi Yang & Peng Yuan & Gongxiong Jiang, 2022. "Knowledge Spillovers, Institutional Environment, and Entrepreneurship: Evidence from China," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
    3. Hou, Qingsong & Tang, Xiaofang & Teng, Min, 2021. "Labor costs and financialization of real sectors in emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    4. Anthony Howell & Chong Liu & Rudai Yang, 2020. "Explaining the urban premium in Chinese cities and the role of place-based policies," Environment and Planning A, , vol. 52(7), pages 1332-1356, October.
    5. Hou, Qingsong & Li, Weifang & Teng, Min & Hu, May, 2022. "Just a short-lived glory?The effect of China's anti-corruption on the accuracy of analyst earnings forecasts," Journal of Corporate Finance, Elsevier, vol. 76(C).
    6. Stucki, Tobias & Woerter, Martin, 2019. "The private returns to knowledge: A comparison of ICT, biotechnologies, nanotechnologies, and green technologies," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 62-81.
    7. Xiao, Shengpeng & Lin, Changqing & Wu, Kedong, 2025. "Product relatedness and firm productivity," International Review of Financial Analysis, Elsevier, vol. 97(C).
    8. Dau, Luis Alfonso & Moore, Elizabeth M. & Kostova, Tatiana, 2020. "The impact of market based institutional reforms on firm strategy and performance: Review and extension," Journal of World Business, Elsevier, vol. 55(4).

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