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Efficiency and TFP Growth in the Spanish Regions: The Role of Human and Public Capital

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  • Maria del Mar Salinas Jiménez

Abstract

This paper analyzes the productivity growth of the Spanish regions between 1965 and 1995, decomposing productivity gains into technological progress and efficiency change by means of Malmquist indices. Once estimates of efficiency are obtained, the aim of this paper is to analyze the effects of human and public capital on growth in terms of their impact on Total Factor Productivity (TFP). Public capital is believed to increase the productivity of the private factors of production whereas human capital is thought to contribute to the production process as an additional input and to have a dynamic influence on growth through its impact on technological innovation (shifts in the production frontier) and technological diffusion (movements toward the frontier), which are the components of this TFP measure. Considering inefficiencies will then allow the effects of these variables on TFP growth to be estimated via technological progress and efficiency gains.

Suggested Citation

  • Maria del Mar Salinas Jiménez, 2003. "Efficiency and TFP Growth in the Spanish Regions: The Role of Human and Public Capital," Growth and Change, Wiley Blackwell, vol. 34(2), pages 157-174, June.
    • Handle: RePEc:bla:growch:v:34:y:2003:i:2:p:157-174
    DOI: 10.1111/1468-2257.00212
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    References listed on IDEAS

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    1. Andrea Bassanini & Stefano Scarpetta, 2001. "Does Human Capital Matter for Growth in OECD Countries?: Evidence from Pooled Mean-Group Estimates," OECD Economics Department Working Papers 282, OECD Publishing.
    2. Angel de la Fuente & Rafael Doménech, 2006. "Human Capital in Growth Regressions: How Much Difference Does Data Quality Make?," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 1-36, March.
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    Cited by:

    1. Ana María Iregui B. & Luis Fernando Melo V. & María Teresa Ramírez G., 2007. "Productividad regional y sectorial en Colombia: un análisis utilizando datos de panel," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 25(53), pages 18-65, January.
    2. Fedderke, J.W. & Bogetic, Z., 2009. "Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures," World Development, Elsevier, vol. 37(9), pages 1522-1539, September.
    3. Roula INGLESI-LOTZ & Renee VAN EYDEN & Charlotte DU TOIT, 2014. "The evolution and contribution of technological progress to the South African economy: Growth accounting and Kalman filter application," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 14(1), pages 175-188.
    4. CHRISTOFAKIS, M. & GKOUZOS, Andreas, 2013. "Regional Specialization And Efficiency Of The Agricultural Sector In Greece: The Relationship With Regional Funding Allocation," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1), pages 119-130.
    5. Oleg Badunenko & Diego Romero-�vila, 2014. "Productivity Growth across Spanish Regions and Industries: A Production-Frontier Approach," Regional Studies, Taylor & Francis Journals, vol. 48(7), pages 1242-1262, July.
    6. Henry Aray, 2016. "Partisan Alignment Effects on Total Factor Productivity," Regional Studies, Taylor & Francis Journals, vol. 50(1), pages 154-167, January.
    7. Salinas-Jimenez, M. del Mar, 2004. "Public infrastructure and private productivity in the Spanish regions," Journal of Policy Modeling, Elsevier, vol. 26(1), pages 47-64, January.
    8. Betty Agnani & Henry Aray, "undated". "Testing for Political Effects on Total Factor Productivity," ThE Papers 09/13, Department of Economic Theory and Economic History of the University of Granada..
    9. Sun-Kwan Lee & Euijune Kim, 2015. "The effects of highway investments on production costs in the Korean manufacturing sector," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 19(2), pages 182-191, July.

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