IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/242.html
   My bibliography  Save this paper

R&D inputs and productivity growth in China

Author

Listed:
  • Zheng, Yan

Abstract

The relationship between investment in R&D and productivity growth have been well documented in the literature. So far little research has been done on this topic for China, in part due to data limitations. Using the perpetual inventory method (PIM), this paper first estimates the R&D stock in China between 1978 and 2002. If R&D stock is measured, we can then estimate the elasticity of output with respect to R&D, thus estimate the contribution of R&D investment to output in China. The paper finds China’s economic growth mainly depends on capital input and that the impact of R&D capital on China’s growth is insignificant between 1978 and 2002. Then the essay examines the impact of R&D input on Total Factor Productivity (TFP), and finds that R&D input explains 30% of TFP change in China between 1980 and 2000 and that one percent increase in R&D input leads to 0.27 percent increase in TFP in China. The essay also finds that TFP in China has experienced an unusual fall since 1995.

Suggested Citation

  • Zheng, Yan, 2004. "R&D inputs and productivity growth in China," MPRA Paper 242, University Library of Munich, Germany, revised 25 May 2004.
  • Handle: RePEc:pra:mprapa:242
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/242/1/MPRA_paper_242.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zvi Griliches, 1998. "R&D and Productivity Growth: Comparing Japanese and U.S. Manufacturing Firms," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 187-210, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Dirk Czarnitzki & Hanna Hottenrott & Susanne Thorwarth, 2011. "Industrial research versus development investment: the implications of financial constraints," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(3), pages 527-544.
    2. G Cameron, 1996. "Innovation and Economic Growth," CEP Discussion Papers dp0277, Centre for Economic Performance, LSE.
    3. Baggs, Jennifer, 2004. "Changing Trade Barriers and Canadian Firms: Survival and Exit After the Canada-U.S. Free Trade Agreement," Analytical Studies Branch Research Paper Series 2004205e, Statistics Canada, Analytical Studies Branch.
    4. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    5. Kiyohiko Ito & Vladimir Pucik, 1993. "Abstract," Strategic Management Journal, Wiley Blackwell, vol. 14(1), pages 61-75, January.
    6. Ito, Kiyohiko & Rose, Elizabeth L., 1999. "Innovations and geographic focus: A comparison of US and Japanese firms," International Business Review, Elsevier, vol. 8(1), pages 55-74, January.
    7. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    8. Hall, B. & Mairesse, J. & Branstetter, L. & Crepon, B., 1998. "Does Cash Flow cause Investment and R&D: An Exploration Using Panel Data for French, Japanese, and United States Scientific Firms," Economics Papers 142, Economics Group, Nuffield College, University of Oxford.
    9. Xiao, Han & Zheng, Xinye & Xie, Lunyu, 2022. "Promoting pro-poor growth through infrastructure investment: Evidence from the Targeted Poverty Alleviation program in China," China Economic Review, Elsevier, vol. 71(C).
    10. Robert Gibbons, 2010. "Inside Organizations: Pricing, Politics, and Path Dependence," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 337-365, September.
    11. Baghana, Rufin, 2010. "Public R&D Subsidies and Productivity: Evidence from Firm-Level Data in Quebec," MERIT Working Papers 2010-055, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Xu, Aiting & Qiu, Keyang & Zhu, Yuhan, 2023. "The measurements and decomposition of innovation inequality: Based on Industry − University − Research perspective," Journal of Business Research, Elsevier, vol. 157(C).
    13. Roberto Fontana & Lionel Nesta, 2009. "Product Innovation and Survival in a High-Tech Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(4), pages 287-306, June.
    14. Melvyn Fuss & Leonard Waverman, 1991. "Productivity Growth in the Motor Vehicle Industry, 1970-1984: A Comparison of Canada, Japan, and the United States," NBER Chapters, in: Productivity Growth in Japan and the United States, pages 85-108, National Bureau of Economic Research, Inc.
    15. Seiichi Katayama & Sajal Lahiri & Eiichi Tomiura, 2005. "Cost Heterogeneity and the Destination of Foreign Direct Investment," Discussion Paper Series 166, Research Institute for Economics & Business Administration, Kobe University.
    16. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
    17. 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.
    18. Jiann-Chyuan Wang & Kuen-Hung Tsai, 2003. "Productivity Growth and R&D Expenditure in Taiwan's Manufacturing Firms," NBER Working Papers 9724, National Bureau of Economic Research, Inc.
    19. Nauro F. Campos & Mariana Iootty, 2005. "Firm Entry And Exit In Brazil: Cross-Sectoral Evidence From Manufacturing Industry," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 095, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Knoll, Bodo & Baumann, Martina & Riedel, Nadine, 2014. "The Global Effects of R&D Tax Incentives: Evidence from Micro-Data," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100347, Verein für Socialpolitik / German Economic Association.

    More about this item

    Keywords

    Growth; R&D; Total Factor Productivity;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

    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:pra:mprapa:242. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.