IDEAS home Printed from https://ideas.repec.org/p/mos/moswps/2012-28.html
   My bibliography  Save this paper

Technological Change and Wages in China: Evidence From Matched Employer-Employee Data

Author

Listed:
  • Vinod Mishra
  • Russell Smyth

Abstract

We examine the relationship between research and development (R&D) intensity and wages, using a unique matched employer-employee dataset. The dataset has the advantage that it links firm-level investment in R&D to individual employee wages and allows us to control for both employee and employer characteristics. Our main finding is that a one standard deviation increase in R&D intensity is associated with an increase in the hourly wage rate between 3.4 per cent and 6.9 per cent for the full sample, depending on the exact specification. We find that the wage elasticity with respect to R&D intensity is higher in larger firms as well as for better educated workers and workers with technical certification/skills. We also find, consistent with the rent-sharing hypothesis, that the wage elasticity with respect to R&D intensity is higher for workers who belong to the Communist Party or trade union.

Suggested Citation

  • Vinod Mishra & Russell Smyth, 2012. "Technological Change and Wages in China: Evidence From Matched Employer-Employee Data," Monash Economics Working Papers 28-12, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2012-28
    as

    Download full text from publisher

    File URL: http://www.buseco.monash.edu.au/eco/research/papers/2012/2812technologicalmishrasmyth.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:taf:jnlbes:v:30:y:2012:i:1:p:67-80 is not listed on IDEAS
    2. Eva Moreno-Galbis & Francois-Charles Wolff, 2009. "Evidence on new technologies and wage inequality in France," Applied Economics, Taylor & Francis Journals, vol. 43(7), pages 855-872.
    3. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 33-60.
    4. Allen, Steven G, 2001. "Technology and the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 440-483, April.
    5. Mark Sanders & Bas ter Weel, 2000. "Skill-Biased Technical Change Theoretical Concepts, Empirical Problems and a Survey of the Evidence," DRUID Working Papers 00-8, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    6. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters,in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
    7. Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February.
    8. Liu, Jin-Tan & Tsou, Meng-Wen & Hammitt, James K., 2004. "Computer use and wages: evidence from Taiwan," Economics Letters, Elsevier, vol. 82(1), pages 43-51, January.
    9. Nannan Lundin & Lihong Yun, 2009. "International Trade and Inter-Industry Wage Structure in Swedish Manufacturing: Evidence from Matched Employer-Employee Data," Review of International Economics, Wiley Blackwell, vol. 17(1), pages 87-102, February.
    10. Simon Clarke & Chang-Hee Lee & Qi Li, 2004. "Collective Consultation and Industrial Relations in China," British Journal of Industrial Relations, London School of Economics, vol. 42(2), pages 235-254, June.
    11. Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 253-290.
    12. Yemisi Kuku & Peter F. Orazem & Rajesh Singh, 2007. "Computer adoption and returns in transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 15(1), pages 33-56, March.
    13. Chris Forman & Avi Goldfarb & Shane Greenstein, 2012. "The Internet and Local Wages: A Puzzle," American Economic Review, American Economic Association, vol. 102(1), pages 556-575, February.
    14. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
    15. Wenshu Gao & Russell Smyth, 2011. "Firm size and wages in China," Applied Economics Letters, Taylor & Francis Journals, vol. 18(4), pages 353-357.
    16. Eli Berman & John Bound & Zvi Griliches, 1993. "Changes in the Demand for Skilled Labor within U.S. Manufacturing Industries: Evidence from the Annual Survey of Manufacturing," NBER Working Papers 4255, National Bureau of Economic Research, Inc.
    17. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    18. Welch, F, 1970. "Education in Production," Journal of Political Economy, University of Chicago Press, vol. 78(1), pages 35-59, Jan.-Feb..
    19. Jeff Borland & Joseph Hirschberg & Jenny Lye, 2004. "Computer knowledge and earnings: evidence for Australia," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1979-1993.
    20. Haisken-DeNew, John P. & Schmidt, Christoph M., 1999. "Money for Nothing and Your Chips for Free? The Anatomy of the PC Wage Differential," IZA Discussion Papers 86, Institute for the Study of Labor (IZA).
    21. Yasuyuki Todo & Weiying Zhang & Lei‐An Zhou, 2011. "Intra‐industry Knowledge Spillovers from Foreign Direct Investment in Research and Development: Evidence from China's “Silicon Valley”," Review of Development Economics, Wiley Blackwell, vol. 15(3), pages 569-585, August.
    22. Lundin, Nannan & Sjöholm, Fredrik & Qian , Jinchang, 2006. "The Role Of Small Firms In China’S Technology Development," EIJS Working Paper Series 227, Stockholm School of Economics, The European Institute of Japanese Studies.
    23. Sarbani Banerjee & Rama Parai & Amar Parai, 2007. "Computer use and wage differentials: US and foreign born male and female workers," Applied Economics Letters, Taylor & Francis Journals, vol. 14(6), pages 409-413.
    24. Choi, Suk Bong & Lee, Soo Hee & Williams, Christopher, 2011. "Ownership and firm innovation in a transition economy: Evidence from China," Research Policy, Elsevier, vol. 40(3), pages 441-452, April.
    25. Liu, Xiaohui & Wang, Chenggang, 2003. "Does foreign direct investment facilitate technological progress?: Evidence from Chinese industries," Research Policy, Elsevier, vol. 32(6), pages 945-953, June.
    26. Fredrik Sjöholm & Nannan Lundin, 2010. "The Role of Small Firms in the Technology Development of China," The World Economy, Wiley Blackwell, vol. 33(9), pages 1117-1139, September.
    27. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 291-303.
    28. John Bishop & Haiyong Liu, 2008. "Liberalization and rent-seeking in China’s labor market," Public Choice, Springer, vol. 135(3), pages 151-164, June.
    29. Giorgio Pietro, 2007. "The effect of computer use on earnings in Italy," Empirical Economics, Springer, vol. 33(2), pages 245-262, September.
    30. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    31. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
    32. Francis Green & Alan Felstead & Duncan Gallie & Ying Zhou, 2007. "Computers and pay," National Institute Economic Review, National Institute of Economic and Social Research, vol. 201(1), pages 63-75, July.
    33. Entorf, Horst & Kramarz, Francis, 1997. "Does unmeasured ability explain the higher wages of new technology workers?," European Economic Review, Elsevier, vol. 41(8), pages 1489-1509, August.
    34. Fang, Tony & Ge, Ying, 2012. "Unions and firm innovation in China: Synergy or strife?," China Economic Review, Elsevier, vol. 23(1), pages 170-180.
    35. Chennells, Lucy & Van Reenen, John, 1997. "Technical Change and Earnings in British Establishments," Economica, London School of Economics and Political Science, vol. 64(256), pages 587-604, November.
    36. G. Reza Arabsheibani & Alan Marin, 2006. "If not computers then what? Returns to computer use in the UK revisited," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2461-2467.
    37. Fu, Xiaolan & Gong, Yundan, 2011. "Indigenous and Foreign Innovation Efforts and Drivers of Technological Upgrading: Evidence from China," World Development, Elsevier, vol. 39(7), pages 1213-1225, July.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    R&D; China; Wages; Shanghai;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    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:mos:moswps:2012-28. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Simon Angus). General contact details of provider: http://edirc.repec.org/data/dxmonau.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.