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Spatial Autocorrelation and Verdoorn Law in Portugal

Author

Listed:
  • Vítor João Pereira Domingues Martinho

    (Centro de Estudos em Educação, Tecnologias e Saúde (CI&DETS))

Abstract

This study analyses, through cross-section estimation methods, the influence of spatial effects in productivity (product per worker), at economic sectors level of the NUTs III of mainland Portugal, from 1995 to 1999 and from 2000 to 2005 (taking in count the data availability and the Portuguese and European context), considering the Verdoorn relationship. From the analyses of the data, by using Moran I statistics, it is stated that productivity is subject to a positive spatial autocorrelation (productivity of each of the regions develops in a similar manner to each of the neighbouring regions), above all in services. The total sectors of all regional economy present, also, indicators of being subject to positive autocorrelation in productivity. Bearing in mind the results of estimations, it can been that the effects of spatial spillovers, spatial lags (measuring spatial autocorrelation through the spatially lagged dependent variable) and spatial error (measuring spatial autocorrelation through the spatially lagged error terms), influence the Verdoorn relationship when it is applied to the economic sectors of Portuguese regions. The results obtained for the two periods are different, as expected, and are better in second period, because, essentially, the European and national public supports.

Suggested Citation

  • Vítor João Pereira Domingues Martinho, 2011. "Spatial Autocorrelation and Verdoorn Law in Portugal," Working Papers 11/2011, University of Verona, Department of Economics.
    • Handle: RePEc:ver:wpaper:11/2011
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    Cited by:

    1. Martinho, Vítor João Pereira Domingues, 2011. "Application of Keynesian and convergence theories in Portugal. Differences and similarities," MPRA Paper 32910, University Library of Munich, Germany.
    2. Alexandre Gomes, 2020. "Regional economic growth in China from a Kaldorian perspective: A comparative study of Nanjing and Suzhou," PSL Quarterly Review, Economia civile, vol. 73(295), pages 283-312.

    More about this item

    Keywords

    Spatial Econometrics; Economic Growth; Productivity Analysis; Regional Development;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - 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
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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