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Productivity in China's high technology industry: Regional heterogeneity and R&D

  • Zhang, Rui
  • Sun, Kai
  • Delgado, Michael
  • Kumbhakar, Subal

This paper analyzes the impact of Research and Development (R&D) on the productivity of China's high technology industry. In order to capture important differences in the effect of R&D on output that arise from geographic and socioeconomic differences across three major regions in China, we use a novel semiparametric approach that allows us to model heterogeneities across provinces and time. Using a unique provincial level panel dataset spanning the period 2000-2007, we find that the impact of R&D on output varies substantially in terms of magnitude and significance across different regions. Results show that the eastern region benefits the most from R&D investments, however it benefits the least from technical progress, while the western region benefits the least from R&D investments, but enjoys the highest benefits from technical progress. The central region benefits from R&D investments more than the western region and benefits from technical progress more than the eastern region. Our results suggest that R&D investments would significantly increase output in both the eastern and central regions, however technical progress in the central region may further compound the effects of R&D on output within the region.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 32507.

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Date of creation: 30 Jun 2011
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Handle: RePEc:pra:mprapa:32507
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  1. Rachel Griffith & Stephen Redding & John Van Reenen, 2000. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," CEP Discussion Papers dp0458, Centre for Economic Performance, LSE.
  2. Jakob Klette & Samuel Kortum, 2002. "Innovating firms and aggregate innovation," Staff Report 300, Federal Reserve Bank of Minneapolis.
  3. Kuen-Hung Tsai & Jiann-Chyuan Wang, 2004. "R&D Productivity and the Spillover Effects of High-tech Industry on the Traditional Manufacturing Sector: The Case of Taiwan," The World Economy, Wiley Blackwell, vol. 27(10), pages 1555-1570, November.
  4. Mairesse,Jacques & Mohnen,Pierre, 2004. "The Importance of R&D for Innovation: A Reassessment Using French Survey Data," Research Memorandum 022, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  5. Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
  6. Bronwyn H. HALL, 2005. "Measuring the Returns to R&D: the Depreciation Problem," Annales d'Economie et de Statistique, ENSAE, issue 79-80, pages 341-381.
  7. Zvi Griliches, 1979. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 92-116, Spring.
  8. Nadiri, M Ishaq & Prucha, Ingmar R, 1996. "Estimation of the Depreciation Rate of Physical and R&D Capital in the U.S. Total Manufacturing Sector," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 43-56, January.
  9. Gary Jefferson & Bai Huamao & Guan Xiaojing & Yu Xiaoyun, 2006. "R&D Performance in Chinese industry," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 345-366.
  10. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
  11. Lööf, Hans & Heshmati, Almas, 2001. "On the Relationship between Innovation and Performance: A sensitivity Analysis," SSE/EFI Working Paper Series in Economics and Finance 0446, Stockholm School of Economics, revised 01 Oct 2001.
  12. Li, Qi & Racine, Jeffrey S., 2010. "Smooth Varying-Coefficient Estimation And Inference For Qualitative And Quantitative Data," Econometric Theory, Cambridge University Press, vol. 26(06), pages 1607-1637, December.
  13. Valentina Hartarska & Christopher F. Parmeter & Denis Nadolnyak, 2010. "Economies of Scope of Lending and Mobilizing Deposits in Microfinance Institutions: A Semiparametric Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 389-398.
  14. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
  15. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355, March.
  16. Stevenson, Rodney, 1980. "Measuring Technological Bias," American Economic Review, American Economic Association, vol. 70(1), pages 162-73, March.
  17. Hu, Albert Guangzhou & Jefferson, Gary H., 2004. "Returns to research and development in Chinese industry: Evidence from state-owned enterprises in Beijing," China Economic Review, Elsevier, vol. 15(1), pages 86-107, January.
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