Un modelo espacial de renta per capita regional: evidencias provincial, comarcal y municipal
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2004
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asociación española de ciencia regional
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En este artículo se presenta un modelo explicativo de la renta per capita regional en función de variables territoriales y de variables no territoriales. La diferencia entre ambas radica en que las variables territoriales hacen referencia a proce sos espaciales tales como las economías externas espaciales o el multiplicador urbano del gasto, que pueden tener tanto un carácter intra como interterritorial. Dicho modelo se estima utilizando técnicas de Econometría Espacial en tres niveles de agrega ción territorial distintos: las provincias, las comarcas y los municipios españoles. Los resultados confirman la validez del modelo en los distintos niveles de agregación territorial, y destacan la importancia de las variables territoriales, que explican entre el 30 y el 50 % de la generación de renta de un territorio dado.
This paper presents a model which explains per capita regional product as a function of spatial and non spatial variables. Spatial variables may act within and beyond its territory and are related to spatial phenomena such as spatial external economies or expenditure urban multipliers. The model is estimated using Spatial Econometrics techniques and empirical evidence from the Spanish provinces, «comarcas» (sub-regions) and municipalities. The results validate the model in the three different levels of spatial aggregation and underline that spatial variables explain from 30 to 50% of regional product generation
This paper presents a model which explains per capita regional product as a function of spatial and non spatial variables. Spatial variables may act within and beyond its territory and are related to spatial phenomena such as spatial external economies or expenditure urban multipliers. The model is estimated using Spatial Econometrics techniques and empirical evidence from the Spanish provinces, «comarcas» (sub-regions) and municipalities. The results validate the model in the three different levels of spatial aggregation and underline that spatial variables explain from 30 to 50% of regional product generation