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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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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)

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    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.

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    More about this item

    Keywords

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    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

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