IDEAS home Printed from https://ideas.repec.org/p/afc/wpaper/08-12.html
   My bibliography  Save this paper

Human Capital Accumulation and Spatial TFP Interdependence

Author

Listed:
  • Tapas Mishra

    (International Institute for Applied Systems Analysis, Laxenburg, Austria)

  • Mamata Parhi

    (BETA/CNRS, Université Louis Pasteur de Strasbourg, France)

  • Claude Diebolt

    (BETA/CNRS, Université Louis Pasteur de Strasbourg, France)

Abstract

This article provides evidence of cross-country total factor productivity (TFP) interdependence due to human capital accumulation over time by employing a semi-parametric spatial vector autoregressive technique in the panel. Empirical study covers a set of 15 Asian countries over the time period 1970-2000.

Suggested Citation

  • Tapas Mishra & Mamata Parhi & Claude Diebolt, 2008. "Human Capital Accumulation and Spatial TFP Interdependence," Working Papers 08-12, Association Française de Cliométrie (AFC).
    • Handle: RePEc:afc:wpaper:08-12
    as

    Download full text from publisher

    File URL: http://www.cliometrie.org/images/wp/AFC_WP_12-2008.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    3. Peter J. Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114, National Bureau of Economic Research, Inc.
    4. Chen, Xiaoheng & Conley, Timothy G., 2001. "A new semiparametric spatial model for panel time series," Journal of Econometrics, Elsevier, vol. 105(1), pages 59-83, November.
    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. Urszula Markowska-Przybyła, 2020. "Does Social Capital Matter for Total Factor Productivity? Exploratory Evidence from Poland," Sustainability, MDPI, vol. 12(23), pages 1-25, November.
    2. Xiao Dai & Jian Wu & Liang Yan & Qian Zhang & Fangli Ruan & Dan Wang, 2019. "Industrial Structure Restructuring, Production Factor Allocation Analysis: Based on a Mineral Resource-Intensive City—Jiaozuo City," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    3. Asma Saeed & Zahoor Ul Haq & Javed Iqbal, 2018. "Productivity in the Emerging Asian Economies," Global Regional Review, Humanity Only, vol. 3(1), pages 265-280, June.

    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. Mishra, Tapas & Jumah, Adusei & Parhi, Mamata, 2008. "Age-structured Human Capital and Spatial Total Factor Productivity Dynamics," Economics Series 226, Institute for Advanced Studies.
    2. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 563-606.
    3. Brian Piper, 2014. "Factor-Specific Productivity," Working Papers 1401, Sam Houston State University, Department of Economics and International Business.
    4. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    5. Samuel de Abreu Pessôa, 2001. "Um Modelo de Acumulação de Capital Físico e Humano: Um Diálogo Com a Economia do Trabalho," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 035, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. William Easterly & Ross Levine, 2002. "It´s Not Factor Accumulation: Stylized Facts and Growth Models," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Raimundo Soto & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.),Economic Growth: Sources, Trends, and Cycles, edition 1, volume 6, chapter 3, pages 061-114, Central Bank of Chile.
    7. Maria Adelaide Duarte & Marta Simões, 2004. "Human capital, mechanisms of technological diffusion and the role of technological shocks in the speed of diffusion. Evidence from a panel of Mediterranean countries," Notas Económicas, Faculty of Economics, University of Coimbra, issue 20, pages 102-134, December.
    8. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
    9. Erich Gundlach, 2001. "Education and Economic Development: An Empirical Perspective," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 26(1), pages 37-60, June.
    10. Sergio Lodde, 2008. "Human Capital and Productivity Growth in Italian Regional Economies: A Sectoral Analysis," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(2), pages 211-233.
    11. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    12. Mark M. Spiegel, 2001. "Financial development and growth: are the APEC nations unique?," Pacific Basin Working Paper Series 2001-04, Federal Reserve Bank of San Francisco.
    13. Ferreira, Pedro Cavalcanti & Issler, Joao Victor & de Abreu Pessoa, Samuel, 2004. "Testing production functions used in empirical growth studies," Economics Letters, Elsevier, vol. 83(1), pages 29-35, April.
    14. Benhabib, Jess & Spiegel, Mark M., 2005. "Human Capital and Technology Diffusion," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 13, pages 935-966, Elsevier.
    15. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    16. Eyal Argov, 2018. "The Development Of Education In Israel And Its Contribution To Long-Term Growth," Israel Economic Review, Bank of Israel, vol. 16(1), pages 1-40.
    17. Erika Farnstrand Damsgaard, 2008. "The World Distribution of Productivity: Country TFP Choice in a Nelson-Phelps Economy," 2008 Meeting Papers 176, Society for Economic Dynamics.
    18. Lee, Angela Y. & Aaker, Jennifer L., 2006. "A Monte Carlo Study of Growth Regressions," Research Papers 1836r1, Stanford University, Graduate School of Business.
    19. Barry P. Bosworth & Susan M. Collins, 2003. "The Empirics of Growth: An Update," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 113-206.
    20. Caselli, Francesco & Ciccone, Antonio, 2013. "The contribution of schooling in development accounting: Results from a nonparametric upper bound," Journal of Development Economics, Elsevier, vol. 104(C), pages 199-211.

    More about this item

    Keywords

    Total factor productivity; Spatial growth; Human capital; Semi-parametric; panel VAR; Cliometrics.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:afc:wpaper:08-12. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/afcccea.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.