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Analysis of spatial effects in vine crop across Portuguese regions

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  • Martinho, Vítor João Pereira Domingues

Abstract

The consideration of spatial effects at a regional level is becoming increasingly frequent and the work of Anselin (1988), among others, has contributed to this. This study analyses, through cross-section estimation methods, the influence of spatial effects in the NUTs III vine crop of mainland Portugal, in 1999 (the last data available), considering the Verdoorn relationship as a base of study. To analyse the data, by using Moran I statistics, and estimation results, considering the spatial lag and spatial error component, it is stated that there are positive spatial autocorrelation (variables of each of the regions develop in a similar manner to each of the neighbouring regions), in the vine crop.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 33200.

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Date of creation: 2011
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Handle: RePEc:pra:mprapa:33200

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Keywords: spatial econometrics; vine crop; Portuguese regions;

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  1. Giuseppe Arbia & Gianfranco Piras, 2005. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ISAE Working Papers, ISTAT - Italian National Institute of Statistics - (Rome, ITALY) 51, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  2. Johan Lundberg, 2004. "Using Spatial Econometrics to Analyze Local Growth in Sweden," ERSA conference papers ersa04p25, European Regional Science Association.
  3. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002, International Conferences on Panel Data B6-4, International Conferences on Panel Data.
  4. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, Elsevier, vol. 33(5), pages 557-579, September.
  5. 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.
  6. 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, Agricultural and Applied Economics Association, vol. 86(3), pages 675-687.
  7. Maria Abreu & Henride Groot & Raymond Florax, 2004. "Spatial Patterns of Technology Diffusion: An Empirical Analysis Using TFP," ERSA conference papers ersa04p425, European Regional Science Association.
  8. Bera, Anil K. & Yoon, Mann J., 1993. "Specification Testing with Locally Misspecified Alternatives," Econometric Theory, Cambridge University Press, Cambridge University Press, vol. 9(04), pages 649-658, August.
  9. 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.
  10. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2004. "Spatial Heterogeneity and the Wage Curve revisited," Tinbergen Institute Discussion Papers 04-054/3, Tinbergen Institute.
  11. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, Elsevier, vol. 26(1), pages 77-104, February.
  12. Anselin, Luc, 2002. "Under the hood Issues in the specification and interpretation of spatial regression models," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
  13. 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, European University Institute eco99/21, European University Institute.
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