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Does skill-biased technical change diffuse internationally?

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  • Schulte, Patrick

Abstract

This paper studies the question whether skill-biased technical change diffuses internationally and that way contributes to the increasing relative skill demand in other countries. So far, the role of skill-biased technology diffusion has hardly been studied empirically. Using new sectoral data for a panel of 40 emerging and developed countries, 30 industries (covering manufacturing and service industries) and 13 years (1995-2007), the analysis shows that skill-biased technology diffusion is statistically and economically important in explaining skill-biased technical change. Countries further away from the skill-specific technological frontier subsequently show higher skill-specific productivity growth. For that, the bilateral distance between two countries proves to be an important mediating factor, whereas intersectoral trade linkages, so far, explain only a small part of it. The main results hold for both, developed and emerging countries.

Suggested Citation

  • Schulte, Patrick, 2015. "Does skill-biased technical change diffuse internationally?," ZEW Discussion Papers 15-088, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:15088
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    File URL: https://www.econstor.eu/bitstream/10419/126560/1/847028836.pdf
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    1. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
    2. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    3. Jakob B. Madsen & Md. Rabiul Islam & James B. Ang, 2010. "Catching up to the technology frontier: the dichotomy between innovation and imitation," Canadian Journal of Economics, Canadian Economics Association, vol. 43(4), pages 1389-1411, November.
    4. Musolesi, Antonio, 2007. "Basic stocks of knowledge and productivity: Further evidence from the hierarchical Bayes estimator," Economics Letters, Elsevier, vol. 95(1), pages 54-59, April.
    5. Jakob B. Madsen, 2014. "Human Capital and the World Technology Frontier," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 676-692, October.
    6. Gino Gancia & Fabrizio Zilibotti, 2009. "Technological Change and the Wealth of Nations," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 93-120, May.
    7. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    8. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    9. John Duffy & Chris Papageorgiou & Fidel Perez-Sebastian, 2004. "Capital-Skill Complementarity? Evidence from a Panel of Countries," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 327-344, February.
    10. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    11. Lichtenberg, Frank R. & Pottelsberghe de la Potterie, Bruno v., 1998. "International R&D spillovers: A comment," European Economic Review, Elsevier, vol. 42(8), pages 1483-1491, September.
    12. Krugman, Paul R., 2000. "Technology, trade and factor prices," Journal of International Economics, Elsevier, vol. 50(1), pages 51-71, February.
    13. Conte, Andrea & Vivarelli, Marco, 2007. "Globalization and Employment: Imported Skill Biased Technological Change in Developing Countries," IZA Discussion Papers 2797, Institute of Labor Economics (IZA).
    14. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    15. repec:dau:papers:123456789/10093 is not listed on IDEAS
    16. Dieppe, Alistair & Mutl, Jan, 2013. "International R&D Spillovers: Technology Transfer vs. R&D Synergies," Working Paper Series 1504, European Central Bank.
    17. O'Mahony, Mary & Robinson, Catherine & Vecchi, Michela, 2008. "The impact of ICT on the demand for skilled labour: A cross-country comparison," Labour Economics, Elsevier, vol. 15(6), pages 1435-1450, December.
    18. Antonio Ciccone & Giovanni Peri, 2005. "Long-Run Substitutability Between More and Less Educated Workers: Evidence from U.S. States, 1950-1990," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 652-663, November.
    19. Wood, Adrian, 1998. "Globalisation and the Rise in Labour Market Inequalities," Economic Journal, Royal Economic Society, vol. 108(450), pages 1463-1482, September.
    20. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    21. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    22. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    23. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
    24. repec:lsu:lsuwpp:2003-12 is not listed on IDEAS
    25. Stephen Machin & John Van Reenen, 1998. "Technology and Changes in Skill Structure: Evidence from Seven OECD Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1215-1244.
    26. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1449-1492.
    27. Richard Kneller, 2005. "Frontier Technology, Absorptive Capacity and Distance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 1-23, February.
    28. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
    29. Marcel P. Timmer & Abdul Azeez Erumban & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2014. "Slicing Up Global Value Chains," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 99-118, Spring.
    30. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    31. Hollanders, Hugo & ter Weel, Bas, 2002. "Technology, knowledge spillovers and changes in employment structure: evidence from six OECD countries," Labour Economics, Elsevier, vol. 9(5), pages 579-599, November.
    32. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    33. Raveh, Ohad & Reshef, Ariell, 2016. "Capital imports composition, complementarities, and the skill premium in developing countries," Journal of Development Economics, Elsevier, vol. 118(C), pages 183-206.
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    Cited by:

    1. Pi, Jiancai & Zhang, Pengqing, 2018. "Skill-biased technological change and wage inequality in developing countries," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 347-362.

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    More about this item

    Keywords

    skill-biased technical change; technology diffusion; distance; inputoutput linkages; industry-level data; emerging and developed countries;
    All these keywords.

    JEL classification:

    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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