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Indigenous R&D Effectiveness and Technology Transfer on Productivity Growth: Evidence from the Hi-Tech Industry of China

  • Qazi, Ahmar Qasim
  • Zhao, Yulin

The study employs the panel data of 15 hi-tech industries over the period of 2000-2010 in order to examine the effectiveness of R&D with respect to productivity change and indentify the significant contributing factors with intensity in the Chinese hi-tech sector. The Malmquist Productivity Indexes are calculated by using the non-parametric programming technique and censored regression model is applied to conduct the empirical investigation. We find that on average, the sector is confronting productivity deterioration which is mainly due to the technical inefficiency. The Office Equipments industry has the highest productivity gain in our sample at the rate of, on average, 3.7% per year and all of which is caused by technical change. Furthermore, the electronic components industry is found to be the most efficient industry in the sector that drives an industry to have productivity progress on average, of 1.7% per year over the study period. At last, Tobit results indicate that spillovers through FDI and technology import are having significant and positive effect on the productivity progress.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 46589.

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Date of creation: 2013
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Handle: RePEc:pra:mprapa:46589
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  1. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-21, May.
  2. Hashimoto, Akihiro & Haneda, Shoko, 2008. "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry," Research Policy, Elsevier, vol. 37(10), pages 1829-1836, December.
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  5. Bwalya, Samuel Mulenga, 2006. "Foreign direct investment and technology spillovers: Evidence from panel data analysis of manufacturing firms in Zambia," Journal of Development Economics, Elsevier, vol. 81(2), pages 514-526, December.
  6. Blomström, Magnus & Sjöholm, Fredrik, 1998. "Technology, Transfer and Spillovers: Does Local Participation With Multinationals Matter?," CEPR Discussion Papers 2048, C.E.P.R. Discussion Papers.
  7. Anthony N. Rezitis, 2006. "Productivity growth in the Greek banking industry: A non-parametric approach," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 119-138, May.
  8. John W. Kendrick, 1973. "Postwar Productivity Trends in the United States, 1948–1969," NBER Books, National Bureau of Economic Research, Inc, number kend73-1, 07.
  9. Lei Zhu & Bang Nam Jeon, 2007. "International R&D Spillovers: Trade, FDI, and Information Technology as Spillover Channels," Review of International Economics, Wiley Blackwell, vol. 15(5), pages 955-976, November.
  10. Dirk Pilat & Paul Schreyer, 2001. "Measuring productivity," OECD Economic Studies, OECD Publishing, vol. 2001(2), pages 127-170.
  11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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