The non-stationary influence of geography on the spatial agglomeration of production in the EU
AbstractIn this paper, we investigate the relative importance of geographic features on the location of production in the EU. Specifically, we want to quantify how much of the spatial pattern of GDP can be attributed to only exogenous first nature elements (physical and political geography) and how much can be derived from endogenous second nature factors (man-made agglomeration economies). In order to disentangle both effects empirically, and to learn how they are interrelated, we control for second nature. We use a methodology based on an analysis of variance (ANOVA), which is applied to a panel of 1,171 European NUT-3 in 2006. We demonstrate that -due to a high degree of spatial non-stationarity present in the data- results can be biased if spatial autocorrelation and spatial heterogeneity, as well as multicollinearity and endogeneity, are not properly taken into account.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 10737.
Date of creation: 24 Sep 2008
Date of revision:
Agglomeration; Geography; Spatial Heterogeneity; Endogeneity; EU Regions;
Find related papers by JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- O52 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Europe
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-09-29 (All new papers)
- NEP-GEO-2008-09-29 (Economic Geography)
- NEP-URE-2008-09-29 (Urban & Real Estate Economics)
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