Martinho, Vítor João Pereira Domingues (2011): Analysis of spatial effects in vine crop across Portuguese regions.
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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.
|Item Type:||MPRA Paper|
|Original Title:||Analysis of spatial effects in vine crop across Portuguese regions|
|English Title:||Analysis of spatial effects in vine crop across Portuguese regions|
|Keywords:||spatial econometrics; vine crop; Portuguese regions|
|Subjects:||O - Economic Development, Technological Change, and Growth > O1 - Economic Development > O13 - Agriculture; Natural Resources; Energy; Environment; Other Primary Products
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
|Depositing User:||Vítor João Pereira Domingues Martinho|
|Date Deposited:||07. Sep 2011 12:23|
|Last Modified:||21. Feb 2013 10:26|
Abreu, M.; Groot, H.; and Florax, R. (2004). Spatial Patterns of Technology Diffusion: An Empirical Analysis Using TFP. ERSA Conference, Porto.
Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht, Netherlands.
Anselin, L. (1995). Local Indicators of Spatial Association-LISA. Geographical Analysis, 27, pp: 93-115.
Anselin, L. (2001). Spatial Econometrics. In: Baltagi (eds). A Companion to Theoretical Econometrics. Oxford, Basil Blackwell.
Anselin, L. (2002a). Spatial Externalities. Working Paper, Sal, Agecon, Uiuc.
Anselin, L. (2002b). Properties of Tests for Spatial Error Components. Working Paper, Sal, Agecon, Uiuc.
Anselin, L. (2002c). Spatial Externalities, Spatial Multipliers and Spatial Econometrics. Working Paper, Sal, Agecon, Uiuc.
Anselin, L. (2002d). Under the Hood. Issues in the Specification and Interpretation of Spatial Regression Models. Working Paper, Sal, Agecon, Uiuc.
Anselin, L. (2003a). An Introduction to Spatial Autocorrelation Analysis with GeoDa. Sal, Agecon, Uiuc.
Anselin, L. (2003b). GeoDaTM 0.9 User’s Guide. Sal, Agecon, Uiuc.
Anselin, L. (2004). GeoDaTM 0.9.5-i Release Notes. Sal, Agecon, Uiuc.
Anselin, L.; Bera A.K.; Florax, R.; and Yoon, M.J. (1996). Simple Diagnostic Tests for Spatial Dependence. Regional Science and Urban Economics, 26, pp: 77-104.
Anselin, L. and Bera, A. (1998). Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. In: A. Ullah and D. Giles (eds), Handbook of Applied Economic Statistics, New York: Marcel Dekker.
Anselin, L.; Bongiovanni, R.; and Lowenberg-DeBoer, J. (2001). A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production. Working Paper, Sal, Agecon, Uiuc.
Arbia, G. and Piras, G. (2004). Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects. ERSA Conference, Porto.
Baltagi, B.H.; Song, S.H.; and Koh, W. (2003). Testing panel data regression models with spatial error correlation. Journal of Econometrics, 117, pp: 123-150.
Bera, A. and Yoon, M. (1993). Specification testing with locally misspecified alternatives. Econometric Theory, 9, pp: 649-658.
Bernat, Jr., G.A. (1996). Does manufacturing matter ? A spatial econometric view of Kaldor’s laws. Journal of Regional Science, Vol. 36, 3, pp. 463-477.
Fingleton, B. (1999). Economic geography with spatial econometrics: a “third way” to analyse economic development and “equilibrium” with application to the EU regions. EUI Working Paper ECO nº 99/21.
Fingleton, B. and McCombie, J.S.L. (1998). Increasing returns and economic growth: some evidence for manufacturing from the European Union regions. Oxford Economic Papers, 50, pp. 89-105.
Florax, R.J.G.M.; Folmer, H.; and Rey, S.J. (2003). Specification searches in spatial econometrics: the relevance of Hendry´s methodology. ERSA Conference, Porto.
Hanson, G. (1998). Market Potential, Increasing Returns, and Geographic concentration. Working Paper, NBER, Cambridge.
Kaldor, N. (1966). Causes of the Slow Rate of Economics of the UK. An Inaugural Lecture. Cambridge: Cambridge University Press.
Kaldor, N. (1967). Strategic factors in economic development. Cornell University, Itaca.
Kelejian, H.H. and Robinson, D.P. (1995). Spatial correlation: A suggested alternative to the autoregressive models. In: Anselin, L. and Florax, R.J. (eds). New Directions in Spatial Econometrics. Springer-Verlag, Berlin.
Kim, C.W. ; Phipps, T.T. ; and Anselin, L. (2001). Measuring the Benefits of Air Quality Improvement: A Spatial Hedonic Approach. Working Paper, Sal, Agecon, Uiuc.
Longhi, S. ; Nijkamp, P ; and Poot, J. (2004). Spatial Heterogeneity and the Wage Curve Revisited. ERSA Conference, Porto.
Lundberg, J. (2004). Using Spatial Econometrics to Analyze Local Growth in Sweden. ERSA Conference, Porto.
Messner, S.F. and Anselin L. (2002). Spatial Analyses of Homicide with Areal data. Working Paper, Sal, Agecon, Uiuc.
Paelinck, J.H.P. (2000). On aggregation in spatial econometric modelling. Journal of Geographical Systems, 2, pp: 157-165.
Sandberg, K. (2004). Growth of GRP in Chinese Provinces : A Test for Spatial Spillovers. ERSA Conference, Porto.
Verdoorn, P.J. (1949). Fattori che Regolano lo Sviluppo Della Produttivita del Lavoro. L´Industria, 1, pp: 3-10.