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Analysis of spatial effects in vine crop across Portuguese regions

  • Martinho, Vítor João Pereira Domingues

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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File URL: http://mpra.ub.uni-muenchen.de/33200/1/MPRA_paper_33200.pdf
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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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  1. Kim, Chong Won & Phipps, Tim T. & Anselin, Luc, 1998. "Measuring The Benefits Of Air Quality Improvement: A Spatial Hedonic Approach," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Raymond J.G.M. Florax & Hendrik Folmer & Sergio J. Rey, 2002. "Specification Searches in Spatial Econometrics: The Relevance of Hendry's Methodology," Urban/Regional 0202001, EconWPA.
  3. 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.
  4. Bera, Anil K. & Yoon, Mann J., 1993. "Specification Testing with Locally Misspecified Alternatives," Econometric Theory, Cambridge University Press, vol. 9(04), pages 649-658, August.
  5. repec:dgr:uvatin:20040079 is not listed on IDEAS
  6. 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.
  7. 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.
  8. 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 51, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  9. 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.
  10. Anselin, Luc, 2002. "Under the hood Issues in the specification and interpretation of spatial regression models," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
  11. Johan Lundberg, 2004. "Using Spatial Econometrics to Analyze Local Growth in Sweden," ERSA conference papers ersa04p25, European Regional Science Association.
  12. 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 B6-4, International Conferences on Panel Data.
  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 eco99/21, European University Institute.
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