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Productivity in China: past success and future challenges

Author

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  • Yanqun Zhang

    (Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, No. 5 Jianguomennei Street, IQTE, CASS, Beijing)

Abstract

The present paper discusses total factor productivity (TFP) in China, including its past success, the current slowdown, and the potential for future growth. It begins by documenting the development of TFP growth over the past three and a half decades, its driving forces and its contribution to the economic growth of the country. It then analyses the reasons for the current slowdown of TFP and economic growth, addresses the institutional imperfections that hinder growth, and explains the government policies and strategies aimed at fostering TFP. Next, it explores the potential for TFP growth from the perspective of institutional reform, investment in research and development and human capital. The paper concludes that although the resources of the past successful TFP have decreased or diminished, further institutional reform, increasing investment in research and development and human capital, and strategies promoting indigenous innovation will become new engines for future TFP growth in China. As the country’s TFP is still at a low level compared with advanced economies, there is large scope for China to maintain relatively high TFP growth, although uncertainty and risk are associated with this process.

Suggested Citation

  • Yanqun Zhang, 2017. "Productivity in China: past success and future challenges," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(1), pages 1-21, June.
  • Handle: RePEc:unt:jnapdj:v:24:y:2017:i:1:p:1-21
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    References listed on IDEAS

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    More about this item

    Keywords

    China’s total factor productivity (TFP); institutional reform; indigenous innovation; new normal; strategies for fostering TFP; potential TFP growth;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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