IDEAS home Printed from https://ideas.repec.org/p/boj/bojwps/wp18e19.html
   My bibliography  Save this paper

What Drives China's Growth? Evidence from Micro-level Data

Author

Listed:
  • Tomoyuki Iida

    (Bank of Japan)

  • Kanako Shoji

    (Bank of Japan)

  • Shunichi Yoneyama

    (Bank of Japan)

Abstract

This paper discusses the sustainability of China fs rapid growth mainly based on the estimation of the corporate-level total factor productivity of Chinese listed firms. Since the 1980s, both capital accumulation and rapid technological progress -- measured as total factor productivity (TFP) -- have contributed to the high growth of the Chinese aggregate output. Should the prediction of the standard growth theory be correct, however, economic growth led by capital accumulation is not likely to be long lasting, hence we mainly focus on firm level TFP growth. As a result, we identify four channels that would continue to promote the TFP growth of the Chinese corporate sector at an aggregate level: (i) declining proportion of low-productivity state-owned enterprises, (ii) continuous influx of highly competent new start-ups, (iii) broad catching up trend among the laggards in the firm distribution, and (iv) innovation spawning R&D activities. These four channels would underpin the medium-term economic growth of the Chinese economy.

Suggested Citation

  • Tomoyuki Iida & Kanako Shoji & Shunichi Yoneyama, 2018. "What Drives China's Growth? Evidence from Micro-level Data," Bank of Japan Working Paper Series 18-E-19, Bank of Japan.
  • Handle: RePEc:boj:bojwps:wp18e19
    as

    Download full text from publisher

    File URL: http://www.boj.or.jp/en/research/wps_rev/wps_2018/data/wp18e19.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Dollar & Shang-Jin Wei, 2007. "Das (Wasted) Kapital: Firm Ownership and Investment Efficiency in China," IMF Working Papers 2007/009, International Monetary Fund.
    2. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    5. Feldstein, Martin & Horioka, Charles, 1980. "Domestic Saving and International Capital Flows," Economic Journal, Royal Economic Society, vol. 90(358), pages 314-329, June.
    6. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    7. 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.
    8. Aw, Bee Yan & Chen, Xiaomin & Roberts, Mark J., 2001. "Firm-level evidence on productivity differentials and turnover in Taiwanese manufacturing," Journal of Development Economics, Elsevier, vol. 66(1), pages 51-86, October.
    9. Koji Nakamura & Sohei Kaihatsu & Tomoyuki Yagi, 2018. "Productivity Improvement and Economic Growth," Bank of Japan Working Paper Series 18-E-10, Bank of Japan.
    10. Zheng Liu, 2015. "Is China’s growth miracle over?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    11. Kosuke Aoki & Naoko Hara & Maiko Koga, 2017. "Structural Reforms, Innovation and Economic Growth," Bank of Japan Working Paper Series 17-E-2, Bank of Japan.
    12. Ricardo J. Caballero & Takeo Hoshi & Anil K. Kashyap, 2008. "Zombie Lending and Depressed Restructuring in Japan," American Economic Review, American Economic Association, vol. 98(5), pages 1943-1977, December.
    13. Kyoji Fukao & Tomohiko Inui & Keiko Ito & YoungGak Kim & Tangjun Yuan, 2011. "An International Comparison of the TFP Levels and the Productivity Convergence of Japanese, Korean, Taiwanese, and Chinese Listed Firms (Extended Version)," Global COE Hi-Stat Discussion Paper Series gd10-168, Institute of Economic Research, Hitotsubashi University.
    14. Branstetter, Lee G., 2001. "Are knowledge spillovers international or intranational in scope?: Microeconometric evidence from the U.S. and Japan," Journal of International Economics, Elsevier, vol. 53(1), pages 53-79, February.
    15. Kyoji Fukao & Tomohiko Inui & Keiko Ito & Young Gak Kim & Tangjun Yuan, 2011. "An international comparison of the TFP levels and the productivity convergence of Japanese, Korean, Taiwanese and Chinese listed firms," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 9(2), pages 127-150.
    16. Fan, Peilei, 2018. "Catching Up in Economic Transition: Innovation in the People’s Republic of China and India," ADBI Working Papers 809, Asian Development Bank Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takatoshi Sasaki & Tomoya Sakata & Yui Mukoyama & Koichi Yoshino, 2021. "China's Long-Term Growth Potential: Can Productivity Convergence Be Sustained?," Bank of Japan Working Paper Series 21-E-7, Bank of Japan.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Takatoshi Sasaki & Tomoya Sakata & Yui Mukoyama & Koichi Yoshino, 2021. "China's Long-Term Growth Potential: Can Productivity Convergence Be Sustained?," Bank of Japan Working Paper Series 21-E-7, Bank of Japan.
    2. Gehringer, Agnieszka, 2016. "Knowledge externalities and sectoral interdependences: Evidence from an open economy perspective," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 240-249.
    3. Neil Foster-McGregor, 2012. "Innovation and Technology Transfer across Countries," wiiw Research Reports 380, The Vienna Institute for International Economic Studies, wiiw.
    4. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C., 2016. "A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers," Journal of Econometrics, Elsevier, vol. 190(2), pages 289-300.
    5. Laura Bottazzi & Giovanni Peri, 2005. "The International Dynamics of R&D and Innovation in the Short and in the Long Run," NBER Working Papers 11524, National Bureau of Economic Research, Inc.
    6. Cem Ertur & Wilfried Koch, 2008. "A Contribution to the Schumpeterian Growth Theory and Empirics," Post-Print halshs-00327641, HAL.
    7. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    8. Cem Ertur & Wilfried Koch, 2011. "A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions," Journal of Economic Growth, Springer, vol. 16(3), pages 215-255, September.
    9. Sanghoon Ahn, 2004. "Global Competition, Technology Spillovers and Firm Dynamics:," Econometric Society 2004 Far Eastern Meetings 793, Econometric Society.
    10. Goñi, Edwin & Maloney, William F., 2017. "Why don’t poor countries do R&D? Varying rates of factor returns across the development process," European Economic Review, Elsevier, vol. 94(C), pages 126-147.
    11. Bretschger, Lucas & Lechthaler, Filippo & Rausch, Sebastian & Zhang, Lin, 2017. "Knowledge diffusion, endogenous growth, and the costs of global climate policy," European Economic Review, Elsevier, vol. 93(C), pages 47-72.
    12. Wu, Mingran & Zhao, Min & Wu, Zhaodan, 2019. "Evaluation of development level and economic contribution ratio of science and technology innovation in eastern China," Technology in Society, Elsevier, vol. 59(C).
    13. Bahar, Dany & Hausmann, Ricardo & Hidalgo, Cesar A., 2014. "Neighbors and the evolution of the comparative advantage of nations: Evidence of international knowledge diffusion?," Journal of International Economics, Elsevier, vol. 92(1), pages 111-123.
    14. Rajeev K. Goel & James W. Saunoris & Xingyuan Zhang, 2016. "Intranational And International Knowledge Flows: Effects On The Formal And Informal Sectors," Contemporary Economic Policy, Western Economic Association International, vol. 34(2), pages 297-311, April.
    15. Bosetti, Valentina & Carraro, Carlo & Massetti, Emanuele & Tavoni, Massimo, 2008. "International energy R&D spillovers and the economics of greenhouse gas atmospheric stabilization," Energy Economics, Elsevier, vol. 30(6), pages 2912-2929, November.
    16. Parrado, Ramiro & De Cian, Enrica, 2014. "Technology spillovers embodied in international trade: Intertemporal, regional and sectoral effects in a global CGE framework," Energy Economics, Elsevier, vol. 41(C), pages 76-89.
    17. Saon Ray, 2014. "What Explains the Productivity Decline in Manufacturing in the Nineties in India?," Working Papers id:6280, eSocialSciences.
    18. Arnab Bhattacharjee & Eduardo Castro & Chris Jensen-Butler, 2009. "Regional variation in productivity: a study of the Danish economy," Journal of Productivity Analysis, Springer, vol. 31(3), pages 195-212, June.
    19. Baird, Matthew & Chari, A.V. & Nataraj, Shanthi & Rothenberg, Alexander & Telhaj, Shqiponja & Winters, L. Alan, 2019. "The public sector and the misallocation of labor: evidence from a policy experiment in India," LSE Research Online Documents on Economics 102605, London School of Economics and Political Science, LSE Library.
    20. Anja, Breitwieser & Neil, Foster, 2012. "Intellectual property rights, innovation and technology transfer: a survey," MPRA Paper 36094, University Library of Munich, Germany.

    More about this item

    Keywords

    China; Total Factor Productivity; Catching up; R&D;
    All these keywords.

    JEL classification:

    • N15 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Asia including Middle East
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boj:bojwps:wp18e19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bank of Japan (email available below). General contact details of provider: https://edirc.repec.org/data/bojgvjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.