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

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

Abstract

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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Bibliographic Info

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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Keywords: China; Research and Development; Productivity; Semiparametric smooth coefficient model;

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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," IFS Working Papers W00/02, Institute for Fiscal Studies.
  2. 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.
  3. 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).
  4. 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.
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  13. 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.
  14. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
  15. Stevenson, Rodney, 1980. "Measuring Technological Bias," American Economic Review, American Economic Association, vol. 70(1), pages 162-73, March.
  16. 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.
  17. 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.
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