IDEAS home Printed from https://ideas.repec.org/p/luc/wpaper/09-19.html
   My bibliography  Save this paper

Technology frontier, labor productivity and economic growth: Evidence from OECD countries

Author

Listed:
  • Théophile T. Azomahou
  • Bity Diene
  • Mbaye Diene

    (CREA, University of Luxembourg)

Abstract

We use 29 OECD countries data spanning over 1960-2000 to study the growth strategy when countries are close to the technology frontier. Relying on a semi-parametric generalized additive model, we estimate labor productivity equations. We find that the number of agents enrolled in higher education is a determinant of growth. Moreover, when a country is sufficiently near the technology frontier thanks to an increasing R&D expenditure, it becomes optimal to invest in fundamental research, since after a short period of efficiency, business R&D can no longer ensure the transition toward the technology frontier, while higher education presents the opposite shape. These findings support the main assertion of Aghion and Cohen (2004) that countries which are near the technology frontier have to invest in higher education while those far away from the frontier make their technology level growing up by investing in primary and secondary schooling.

Suggested Citation

  • Théophile T. Azomahou & Bity Diene & Mbaye Diene, 2009. "Technology frontier, labor productivity and economic growth: Evidence from OECD countries," DEM Discussion Paper Series 09-19, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:09-19
    as

    Download full text from publisher

    File URL: http://wwwen.uni.lu/content/download/24335/294833/file/2009-19_Technology%20frontier,%20labor%20productivity%20and%20economic%20growth_Evidence%20from%20OECD%20countries.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Linton, Oliver B., 2000. "Efficient Estimation Of Generalized Additive Nonparametric Regression Models," Econometric Theory, Cambridge University Press, vol. 16(4), pages 502-523, August.
    2. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    3. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    4. Eric A. Hanushek & Dongwook Kim, 1995. "Schooling, Labor Force Quality, and Economic Growth," NBER Working Papers 5399, National Bureau of Economic Research, Inc.
    5. Boucekkine, Raouf & de la Croix, David & Licandro, Omar, 2002. "Vintage Human Capital, Demographic Trends, and Endogenous Growth," Journal of Economic Theory, Elsevier, vol. 104(2), pages 340-375, June.
    6. Paul M. Romer, 2001. "Should the Government Subsidize Supply or Demand in the Market for Scientists and Engineers?," NBER Chapters, in: Innovation Policy and the Economy, Volume 1, pages 221-252, National Bureau of Economic Research, Inc.
    7. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    8. Philippe Aghion & Elie Cohen, 2004. "Education et croissance," Post-Print hal-03571451, HAL.
    9. Horowitz, Joel L., 2001. "The Bootstrap," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 52, pages 3159-3228, Elsevier.
    10. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    11. Andrea Bassanini & Stefano Scarpetta, 2003. "Les moteurs de la croissance dans les pays de l'OCDE : Analyse empirique sur des données de panel," Revue économique de l'OCDE, Éditions OCDE, vol. 2001(2), pages 7-58.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. M. Danquah & B. Ouattara, 2014. "Productivity Growth, Human Capital And Distance To Frontier In Sub-Saharan Africa," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(4), pages 27-48, December.
    2. Douanla Tayo, Lionel & AbomoFouda, Marcel Olivier, 2016. "Government spending in education and economic growth in Cameroon. A Vector error Correction Model approach," MPRA Paper 61881, University Library of Munich, Germany.
    3. Abdoulaye Diagne & Bity Diene, 2011. "Estimating Returns to Higher Education: A Survey of Models, Methods and Empirical Evidence," Journal of African Economies, Centre for the Study of African Economies, vol. 20(suppl_3), pages -132, August.
    4. Douanla Tayo, Lionel & Abomo Fouda, Marcel Olivier, 2015. "Government spending in education and economic growth in Cameroon:a Vector error Correction Model approach," MPRA Paper 62008, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Azomahou, Theophile & Diene, Bity & Diene, Mbaye, 2009. "Technology frontier, labor productivity and economic growth: Evidence from OECD countries," MERIT Working Papers 2009-059, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Azomahou, Theophile & Diene, Bity & Diene, Mbaye, 2012. "Nonlinearities in productivity growth: A semi-parametric panel analysis," MERIT Working Papers 2012-046, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Azomahou, Théophile T. & Diene, Bity & Diene, Mbaye, 2013. "Nonlinearities in productivity growth: A semi-parametric panel analysis," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 45-75.
    4. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    5. Justin McCrary, 2007. "Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test," NBER Technical Working Papers 0334, National Bureau of Economic Research, Inc.
    6. Lewbel, Arthur & McFadden, Daniel & Linton, Oliver, 2011. "Estimating features of a distribution from binomial data," Journal of Econometrics, Elsevier, vol. 162(2), pages 170-188, June.
    7. Blow, Laura & Crawford, Ian, 2002. "A nonparametric method for valuing new goods," Working Paper Series 143, European Central Bank.
    8. Nguyen Van, Phu & Azomahou, Theophile, 2007. "Nonlinearities and heterogeneity in environmental quality: An empirical analysis of deforestation," Journal of Development Economics, Elsevier, vol. 84(1), pages 291-309, September.
    9. M. M. Salinas-Jimenez, 2003. "Technological change, efficiency gains and capital accumulation in labour productivity growth and convergence: an application to the Spanish regions," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1839-1851.
    10. Azomahou, Theophile & Laisney, Francois & Nguyen Van, Phu, 2006. "Economic development and CO2 emissions: A nonparametric panel approach," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1347-1363, August.
    11. Sabino da Silva Porto Junior & Eduardo Pontual Ribeiro, 2003. "Dinâmica Espacial da Renda Per capita e Crescimento Entre os Municípios da Região Nordeste do Brasil - uma Análise Markoviana," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] e54, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Bertinelli, Luisito & Strobl, Eric & Zou, Benteng, 2012. "Sustainable economic development and the environment: Theory and evidence," Energy Economics, Elsevier, vol. 34(4), pages 1105-1114.
    13. Stefan Sperlich & Oliver Linton & Wolfgang Härdle, 1999. "Integration and backfitting methods in additive models-finite sample properties and comparison," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(2), pages 419-458, December.
    14. John DiNardo & Justin L. Tobias, 2001. "Nonparametric Density and Regression Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 11-28, Fall.
    15. Thomas Ziesemer & Anne von Gässler, 2021. "Ageing, human capital and demographic dividends with endogenous growth, labour supply and foreign capital," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 20(2), pages 129-160, May.
    16. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    17. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Severance-Lossin, E. & Sperlich, S., 1995. "Estimation of Derivatives for Additive Separable Models," SFB 373 Discussion Papers 1995,60, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    19. Hjalmarsson, Erik, 2003. "Does the Black-Scholes formula work for electricity markets? A nonparametric approach," Working Papers in Economics 101, University of Gothenburg, Department of Economics.
    20. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.

    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:luc:wpaper:09-19. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marina Legrand (email available below). General contact details of provider: https://edirc.repec.org/data/crcrplu.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.