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Education and growth: an industry-level analysis of the Portuguese manufacturing

Author

Listed:
  • Marta Simões

    () (GEMF and Faculdade de Economia, Universidade de Coimbra)

  • Adelaide Duarte

    () (GEMF and Faculdade de Economia, Universidade de Coimbra)

Abstract

TThis paper investigates the education–growth link at the more disaggregate industry level in the Portuguese manufacturing sector with a focus on different levels of education. The insights from new growth theory and a modified and augmented version of the Benhabib and Spiegel (1994) specification are the basis for the empirical analysis of the role of education in innovation and imitation activities highlighting a role for specific schooling levels across industries according to their technological characteristics and its interaction with international trade. We use data for the period 1986–1997, fourteen Portuguese manufacturing industries and panel data econometric techniques. Our most robust finding concerns the relevance of technology spillovers embodied in imports for productivity growth, as long as manufacturing industries employ workers with skills provided by secondary education. The Portuguese manufacturing industry cannot rely on automatic technological catch up for productivity growth so active trade and education policies are crucial to recover from the present bottom position in the rank of OECD productivity levels.

Suggested Citation

  • Marta Simões & Adelaide Duarte, 2007. "Education and growth: an industry-level analysis of the Portuguese manufacturing," GEMF Working Papers 2007-03, GEMF, Faculty of Economics, University of Coimbra.
  • Handle: RePEc:gmf:wpaper:2007-03
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    File URL: http://gemf.fe.uc.pt/workingpapers/pdf/2007/gemf_2007-03.pdf
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    References listed on IDEAS

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    1. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    2. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," Review of Economic Studies, Oxford University Press, vol. 58(1), pages 43-61.
    3. de la Fuente, Angel & Doménech, Rafael, 2002. "Human Capital in Growth Regressions: How Much Difference Does Data Quality Make? An Update and Further Results," CEPR Discussion Papers 3587, C.E.P.R. Discussion Papers.
    4. Pereira, João & St. Aubyn, Miguel, 2009. "What level of education matters most for growth?: Evidence from Portugal," Economics of Education Review, Elsevier, vol. 28(1), pages 67-73, February.
    5. Cameron, Gavin & Proudman, James & Redding, Stephen, 2005. "Technological convergence, R&D, trade and productivity growth," European Economic Review, Elsevier, vol. 49(3), pages 775-807, April.
    6. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    7. Stefano Scarpetta & Andrea Bassanini & Dirk Pilat & Paul Schreyer, 2000. "Economic Growth in the OECD Area: Recent Trends at the Aggregate and Sectoral Level," OECD Economics Department Working Papers 248, OECD Publishing.
    8. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    9. Anders Sorensen, 2001. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries: Comment," American Economic Review, American Economic Association, vol. 91(4), pages 1160-1167, September.
    10. Harrigan, James, 1999. "Estimation of cross-country differences in industry production functions," Journal of International Economics, Elsevier, vol. 47(2), pages 267-293, April.
    11. James Harrigan, 1997. "Cross-country comparisons of industry total factor productivity: theory and evidence," Research Paper 9734, Federal Reserve Bank of New York.
    12. Kyriacou, George A., 1991. "Level and Growth Effects of Human Capital: A Cross-Country Study of the Convergence Hypothesis," Working Papers 91-26, C.V. Starr Center for Applied Economics, New York University.
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    More about this item

    Keywords

    education; innovation; technology diffusion; productivity growth; panel data;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I20 - Health, Education, and Welfare - - Education - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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