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Spatial autocorrelation and Verdoorn law in the Portuguese nuts III

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  • Martinho, Vítor João Pereira Domingues

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.

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  • Martinho, Vítor João Pereira Domingues, 2011. "Spatial autocorrelation and Verdoorn law in the Portuguese nuts III," MPRA Paper 32165, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:32165
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    1. Jean H.P. Paelinck, 2000. "On aggregation in spatial econometric modelling," Journal of Geographical Systems, Springer, vol. 2(2), pages 157-165, July.
    2. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2006. "Spatial Heterogeneity And The Wage Curve Revisited," Journal of Regional Science, Wiley Blackwell, vol. 46(4), pages 707-731, October.
    3. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    4. Anselin, Luc & Moreno, Rosina, 2003. "Properties of tests for spatial error components," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 595-618, September.
    5. Johan Lundberg, 2006. "Using spatial econometrics to analyse local growth in Sweden," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 303-316.
    6. Hendry, David F., 2006. "A comment on "Specification searches in spatial econometrics: The relevance of Hendry's methodology"," Regional Science and Urban Economics, Elsevier, vol. 36(2), pages 309-312, March.
    7. Fingleton, B., 1999. "Economic Geography with Spatial Econometrics: a 'Third Way' to Analyse Economic Development and 'Equilibrium', with Application to the EU Regions," Economics Working Papers eco99/21, European University Institute.
    8. Fingleton, B & McCombie, J S L, 1998. "Increasing Returns and Economic Growth: Some Evidence for Manufacturing from the European Union Regions," Oxford Economic Papers, Oxford University Press, vol. 50(1), pages 89-105, January.
    9. Bernard Fingleton, 2007. "A multi-equation spatial econometric model, with application to EU manufacturing productivity growth," Journal of Geographical Systems, Springer, vol. 9(2), pages 119-144, June.
    10. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    11. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    12. Ramajo, Julián & Márquez, Miguel A. & Hewings, Geoffrey J.D. & Salinas, María M., 2008. "Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions?," European Economic Review, Elsevier, vol. 52(3), pages 551-567, April.
    13. Luc Anselin & Rodolfo Bongiovanni & Jess Lowenberg-DeBoer, 2004. "A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 675-687.
    14. Anselin, Luc, 2007. "Spatial econometrics in RSUE: Retrospect and prospect," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 450-456, July.
    15. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    16. Florax, Raymond J.G.M. & Folmer, Hendrik & Rey, Sergio J., 2006. "A comment on specification searches in spatial econometrics: The relevance of Hendry's methodology: A reply," Regional Science and Urban Economics, Elsevier, vol. 36(2), pages 300-308, March.
    17. Mauro Costantini & Giuseppe Arbia, 2006. "Testing the stochastic convergence of Italian regions using panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(12), pages 775-783.
    18. Susan Chen & Raymond J. G. M. Florax & Samantha Snyder & Christopher C. Miller, 2010. "Obesity and Access to Chain Grocers," Economic Geography, Taylor & Francis Journals, vol. 86(4), pages 431-452, October.
    19. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2004. "Spatial Patterns of Technology Diffusion: An Empirical Analysis using TFP," Tinbergen Institute Discussion Papers 04-079/3, Tinbergen Institute.
    20. Vitor Joao Pereira Domingues Martinho, 2011. "Spatial Effects and Verdoorn Law in the Portuguese Context," Papers 1110.5573, arXiv.org.
    21. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    22. Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147, February.
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    More about this item

    Keywords

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

    JEL classification:

    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • 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

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