Time Varying Agglomeration Effects on Total Factor Productivity in Spanish Regions (1995-2008)

  1. Francisco Javier ESCRIBA 1
  2. María José MURGUI 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

Revista:
Estudios Economicos Regionales y Sectoriales : EERS: Regional and sectoral economic studies : RSES

ISSN: 1578-4460

Año de publicación: 2014

Volumen: 14

Número: 2

Páginas: 75-90

Tipo: Artículo

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Otras publicaciones en: Estudios Economicos Regionales y Sectoriales : EERS: Regional and sectoral economic studies : RSES

Resumen

The lack of capital stock data disaggregated to sector and regional level has led to the utilisation of employment and labour productivity trends as indicators to analyse the effect of agglomeration economies on TFP. This research estimates the direct impact of sector and regional factors on the TFP of regional industry in Spain during the period 1995-2008. Estimation techniques for a dynamic panel are applied finding evidence that specialisation economies and market size have a strong sectoral influence on TFP in both the short and long term. However, human capital and transport and urban infrastructures have a significant effect on TFP trends only in the short term. Our results confirm the doubts created by the use of employment behaviour to capture the influence of agglomeration economies on regional productivity.

Referencias bibliográficas

  • Arellano, M. and S. Bond (1991): "Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations", The Review of Economic Studies 58, 277-97.
  • Arellano, M. and O. Bover (1995): "Another look at the instrumental variable estimation of error-components models", Journal of Econometrics 68, 29-51.
  • Aschauer, D.A. (1989): "Is public expenditure productive?", Journal of Monetary Economis, 23, Marzo, 177-200.
  • Bernardini Papalia, R. and S. Bertarelli (2010): "Evaluating Total Factor Productivity Differences by a Mapping Structure in Growth Models" International Regional Science Review, 33(1), 31-59
  • Blien, U., J. Suedekum and K. Wolf (2006): "Local employment growth in West Germany: A dynamic panel approach", Labour Economics, 13, 445-458.
  • Blundell, R. and S. Bond (1998): "Initial conditions and moment restrictions in dynamic panel data models", Journal of Econometrics 87, 115-43.
  • Bond, S., A. Hoeffler and J. Temple (2001): "GMM Estimation of empirical growth models", CEPR Discussion Paper Series, No.3048
  • Brülhart M. and N.A. Mathys (2008): "Sectoral agglomeration economies in a panel of European Regions", Regional Science and Urban Economics, 38, 348-362.
  • Buchele, R. and Christiansen, J. (1999): "Employment and productivity growth in Europe and North America: The impact of labor market institutions", International Review of Applied Economics, 13(3), 313-332.
  • Bun, M. and F. Windmeijer (2010): "The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models", The Econometrics Journal 13, 95-126.
  • Callejón, M. and Costa, M.T. (1995): "Economías externas y localización de las actividades industriales", Economía Industrial, 305, 75-86.
  • Ciccone, A. (2002): "Agglomeration effects in Europe", European Economic Review, 46(2), 213-227.
  • Cingano, F. and F. Schivardi (2004): "Identifying the sources of local productivity growth", Journal of the European Economic Association, 2 (4), 720-742.
  • Combes, P., G. Duranton, L. Gobillon and S. Roux (2010): "Estimating agglomeration economies with history, geology, and worker effects", CEPR Discussion Papers 6728.
  • Combes, P. P., T. Magnac and J.M. Robin (2004): "The dynamics of local employment in France", Journal of Urban Economics, 56(2), 217-243.
  • Combes, P. P. and H.G. Overman (2004): The spatial distribution of economic activities in the European Union, in Henderson, J.V. and J.F. Thisse (eds.) Handbook of Regional and Urban Economics, Volume 4, Elsevier North-Holland.
  • Dauth, W. (2013): "Agglomeration and regional employment dynamics", Papers in Regional Science, 92(2), 419-435.
  • De Bustos, A., A. Diaz, A. Cutanda, F.J. Escribá, M.J. Murgui and M.J. Sanz (2008): "La BD. MORES en base 2000: Nuevas estimaciones y variables". Ministerio de Economía y Hacienda. DGAPP. D-2008-08
  • De Lucio, J.J., J.A. Herce and A. Goicolea (2002): "The effects of externalities on productivity growth in Spanish industry", Regional Science and Urban Economics, 32, 241-258.
  • Dekle R. (2002):"Industrial concentration and regional growth: evidence from the prefectures", The Review of Economics and Stadistics, 84(2), 310-315.
  • Dettori, B., E. Marrocu and R. Paci (2011): Total factor productivity, intangible assets and spatial dependence in the European regions", Regional Studies, 1-16.
  • Escribá F.J. and M.J. Murgui (2013): "Productividad y empleo regional en España: un enfoque dinámico", Investigaciones Regionales, 27, 65-90.
  • EU-KLEMS Growth and Productivity Accounts: November 2009 Release. http://www.euklems.net/
  • Glaeser, E.L., H.D. Kallal, J.A. Scheinkman, and A. Shleifer (1992): "Growth in cities", Journal of Political Economy, 100 (6), 1126-1152.
  • Graham D., P. Melo, P. Jiwattanakulpaisarn and R. Noland (2010): "Testing for causality between productivity and agglomeration economies", Journal of regional Science, 50(5), 935-951.
  • Hansen, L.P. (1982): "Large sample properties of Generalized Method of Moments estimators", Econometrica, 50, 1029-1054.
  • Henderson, V., A. Kundoro and M. Turner (1995): "Industrial development in cities", Journal of Political Economy, 103(5), 1067-1090.
  • Jacobs, B., R. Nahuis and P. Tang (2000): "Human capital, R+D and the assimilation of Technologies in the Netherlands", in Bart Van Ark, S. Knipers y G. Kuper (eds.). Productivity, Technology and Economic Growth. Kluwer Academic Publishers.
  • Lucas, R. (1988): "On the mechanics of economic development", Journal of Monetary Economics, 22, 3-42.
  • Martin, P., T. Mayer and F. Mayneris (2011): "Spatial concentration and plant-level productivity in France", Journal of Urban Economics, 69(2), 182-195.
  • Marrocu E. and R. Paci (2010):"The effects of public capital on the productivity of the Italian regions", Applied Economics, 42, 989-1002.
  • Melo P.C., D.J. Graham and R.B. Noland (2009): "A meta-analysis of estimates of urban agglomeration economies" Regional Science and Urban Economies, 39, 332-342.
  • Paci, R. y S. Usai (2008): "Agglomeration economies, spatial dependence and local industry growth", Revue d'Économie Industrielle, 123, 87-109.
  • Romer P, (1986):"Increasing returns and long-run growth". Journal of Political Economy, 94, 1002-1037.
  • Rosenthal, S.S. and W. Strange (2004): "Evidence on the nature and sources of agglomeration economics", in Henderson, J.V. and J.F. Thisse (eds.) Handbook of Regional and Urban Economics, Volume 4, Elsevier North-Holland.
  • Solow, R. (1957): "Technical change and the aggregate production function", Review of Economics and Stadistics, 39(3), 312-20.
  • The Conference Board Total Economy Database, September 2010, http://www.conference-board.org/data/economydatabase/
  • Viladecans, E. (2003): "Economías externas y localización del empleo industrial", Revista de Economía Aplicada, 31, 5-32.
  • Windmeijer, F. (2005): "A finite sample correction for the variance of linear efficient two-step GMM estimators", Journal of Econometrics, 126, 25-51.
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