Market Potential and Welfare in the Iberian Peninsula in the 1990s (original) (raw)
El Comercio inter-regional en el contexto de un modelo input-output multiregional para España
2004
In this paper we introduce the first version of a interregional input-output model for the Spanish Economy, built by a group of researchers from the L.R. Klein Institute using the following information: • A complete set of 17th regional input-output tables built (or updated) for 1995 (one for each of the 17th Spanish regions-NUT2). All of them coherent with the National input-output Table. • A set of interregional trade matrices, estimated for each kind of product. Apart from a brief description of the main underpinnings of the model and the process of estimation, we focus on the strategy used for the estimation of this set of interregional trade matrices, using transport flows and value/weight relations indirectly deduced from detailed international trade statistics. Finally, by means of coefficients, maps and gravitational models, we analyse the most important intra and interregional flows in the light of the expected relations among flow intensity, geographical distance and secto...
A bi-regional (rectangular) Input-Output model for Portugal: centro and rest of the country
Assessment methodologies: energy, mobility and other real world application
Regional Input-Output models aim to quantify the impacts on industry's outputs, and other economic indicators, of different final demand vectors for goods and services produced in the same or in different regions. These models are well suited for regional economic analysis as they combine inter-industrial and interregional economic interdependencies. MULTI2C is a general flexible procedure, developed by a group of researchers from the University of Coimbra, Portugal, that allows for the construction of that kind of models for different geographic configurations. This work explores the construction of a bi-regional input-output model for Portugal, based on the MULTI2C approach, considering two regions: the NUT II Centro of Portugal and the Rest of the Country. This model considers rectangular matrices with 431 products and 134 industries. Further, it considers different types of households according to their main source of income, i.e., labour earnings, capital income, real estate income, retirement benefits and other social transfers. This modelling framework may be closed with respect to the consumption of different household's types, but this paper considers as endogenous the labour earnings type. Besides the model structure and the methodological choices for its construction, this work focuses on estimating interregional trade.
In this paper we introduce the first version of INTERTIO, a Multiregional-Multisectoral model for the Spanish Economy. The model combines the spatial and sectoral dimensions assuming the theoretical and empirical possibilities and limitations of the interregional input-output model. The research tries to use most of the regional information available at that time, using non-survey techniques for the estimation of incomplete data. The model is based on the following two pillars:
A bi-regional Input-Output model for Portugal : Centro and Rest of the Country
2014
Regional Input-Output models aim to quantify the impacts on industry’s outputs, and other economic indicators, of different final demand vectors for goods and services produced in the same or in different regions. These models are well suited for regional economic analysis as they combine intra-industrial and interregional economic interdependencies. MULTI2C is a general flexible procedure, developed by a group of researchers from the University of Coimbra, Portugal, that allows for the construction of that kind of models for different geographic configurations. This work describes the construction of a bi-regional input-output model for Portugal, based on the MULTI2C approach, considering two regions: the NUT II Centro of Portugal and the Rest of the Country. This model considers rectangular matrixes with 431 products and 125 industries. Furthermore, we distinguish between 5 types of households according to their main source of income, i.e., labour earnings, capital income, real es...
The interregional trade in the context of a multirregional input-output model for Spain
Estudios de economía aplicada, 2004
In this paper we introduce the first version of a interregional input-output model for the Spanish Economy, built by a group of researchers from the L.R. Klein Institute using the following information: • A complete set of 17 th regional input-output tables built (or updated) for 1995 (one for each of the 17 th Spanish regions-NUT2). All of them coherent with the National input-output Table. • A set of interregional trade matrices, estimated for each kind of product. Apart from a brief description of the main underpinnings of the model and the process of estimation, we focus on the strategy used for the estimation of this set of interregional trade matrices, using transport flows and value/weight relations indirectly deduced from detailed international trade statistics. Finally, by means of coefficients, maps and gravitational models, we analyse the most important intra and interregional flows in the light of the expected relations among flow intensity, geographical distance and sectoral specialisation.
Geographical competition between regional economies: The case of Spain
Annals of Regional Science, 2003
The purpose of this paper is to suggest an approach to uncover the patterns of geographical competition and complementarity in a regional economic system; a model for practical analysis is developed by means of a cointegration econometric modeling framework. It is claimed that this model is a suitable approach to identify the kind of relationships between adjacent regional economies, to undertake exploratory analysis, and to analyze situations with limited information about the nature of regional relationships. The utility of the analysis stems from the absence, in most regional development policy formulation, of explicit consideration of spatial spillovers.
A source of bias in regional input-output models estimated from national coefficients
The Annals of Regional Science, 1973
Regional input-output models are widely utilized in policy oriented research relating to regional economic growth and development problems. National coefficients are frequently used in conjunction with existing secondary data to estimate regional input-output models, with regional exports and regional imports being estimated on ne._~t or residual basis. This paper illustrates and clarifies the nature of inaccuracy that may exist in trade, technical and interdependence coefficients and multipliers when this technique is utilized. Methods of improving regional estimates are suggested.
Testing differences in long run growth among Spanish regions: Can growth models explain it?
[eng] Transportation costs and monopoly location in presence of regional disparities. . This article aims at analysing the impact of the level of transportation costs on the location choice of a monopolist. We consider two asymmetric regions. The heterogeneity of space lies in both regional incomes and population sizes: the first region is endowed with wide income spreads allocated among few consumers whereas the second one is highly populated however not as wealthy. Among the results, we show that a low transportation costs induces the firm to exploit size effects through locating in the most populated region. Moreover, a small transport cost decrease may induce a net welfare loss, thus allowing for regional development policies which do not rely on inter-regional transportation infrastructures. cost decrease may induce a net welfare loss, thus allowing for regional development policies which do not rely on inter-regional transportation infrastructures. [fre] Cet article d�veloppe ...
Faculdade de Economia, Universidade do Porto
2008
Abstract. We generalize the model of Krugman (1991) to allow for asymmetric trade costs between regions and for (asymmetric) trade costs that are internal to the regions. We find that industrial activity, in a region, is enhanced by higher costs of importing and lower costs of exporting (more precisely, by a higher ratio between the two trade costs). This suggests that countries may impose tariffs on imported goods and seek to remove the import tariffs in other countries (unilateral protectionism) in order to foster industrial activity. Industrial activity is also promoted by lower domestic internal trade costs and higher foreign internal trade costs (more precisely, by a lower ratio between the two trade costs).
The Determinants of Economic Growth in European Regions
Regional Studies, 2012
Crespo Cuaresma J., Doppelhofer G. and Feldkircher M. The determinants of economic growth in European regions, Regional Studies. This paper uses Bayesian model averaging (BMA) to find robust determinants of economic growth between 1995 and 2005 in a new data set of 255 European regions. It finds that income convergence between countries is dominated by the catching-up of regions in new member states in Central and Eastern Europe, whereas convergence within countries is driven by regions in old European Union member states. Regions containing capital cities are growing faster, particularly in Central and Eastern European countries, as do regions with a large share of workers with a higher education. The results are robust when allowing for spatial spillovers among European regions.Crespo CUARESMA J., DOPPELHOFER G. and FELDKIRCHER M. 欧洲区域经济成长的决定因素，区域研究。本论文使用贝式模型平均法(BMA)，在欧洲255个区域的新数据集中，寻找1995至2005年间经济成长的决定要素。研究发现，各国所得的趋同，主要是由中、东欧新成员国区域的追赶所引发；而国家内部的趋同则是由几个资深欧盟成员国所在区域所促动。首都城市所在之区域成长较为快速，尤其对中欧及东欧国家而言是如此；受过高等教育劳工比例较高的区域成长亦较为快速。考虑欧洲区域的空间外溢，以上研究结果是相当坚实的。Crespo Cuaresma J., Doppelhofer G. et Feldkircher M. Les déterminants de la croissance économique dans les régions d'Europe, Regional Studies. Cet article emploie la méthode du ‘Bayesian Model Averaging’ (BMA) afin de dévoiler, à partir d'un nouvel ensemble de données auprès de 255 régions d'Europe, les déterminants fiables de la croissance économique entre 1995 et 2005. Il s'avère que la convergence des revenus sur le plan international est dominée par le rattrapage des régions situés dans les nouveaux pays membres de l'Europe centrale et orientale, alors que la convergence au sein des pays est pilotée par les régions dans les anciens pays membres de l'Union européenne. Les régions qui englobent les capitales semblent croître plus rapidement, surtout dans les pays de l'Europe centrale et orientale, comme le fait les régions dotées d'une part importante des travailleurs qualifiés. Quand on tient compte des retombées géographiques parmi les régions européennes, les résultats s'avèrent fiables.Crespo Cuaresma J., Doppelhofer G. und Feldkircher M. Determinanten des Wirtschaftswachstums in europäischen Regionen, Regional Studies. In diesem Beitrag ermitteln wir anhand eines neuen Datensatzes von 255 europäischen Regionen mit Hilfe der Methode des Bayesian Model Averaging (BMA) robuste Determinanten des Wirtschaftswachstums im Zeitraum von 1995 bis 2005. Wir stellen fest, dass die Einkommenskonvergenz zwischen verschiedenen Ländern von einem Aufholen der Regionen in den neuen mittel- und osteuropäischen Mitgliedstaaten der Europäischen Union beherrscht wird, während die Konvergenz innerhalb eines Landes von den Regionen der alten EU-Mitgliedstaaten ausgeht. Regionen mit Hauptstädten wachsen insbesondere in mittel- und osteuropäischen Ländern schneller; dasselbe gilt für Regionen mit einem hohen Anteil von Arbeitnehmern mit Hochschulbildung. Die Ergebnisse sind auch bei Berücksichtigung von räumlichen Übertragungen zwischen europäischen Regionen robust.Crespo Cuaresma J., Doppelhofer G. y Feldkircher M. Los determinantes del crecimiento económico en las regiones europeas, Regional Studies. En este artículo utilizamos los promedios de modelo bayesiano para averiguar los determinantes sólidos del crecimiento económico entre 1995 y 2005 en un nuevo grupo de datos de 255 regiones europeas. Observamos que la convergencia de ingresos entre los países está dominada por la convergencia de las regiones en los nuevos Estados miembros en Europa central y oriental, mientras que la convergencia dentro de los países está determinada por las regiones en los antiguos Estados miembros de la Unión Europea. Las regiones con capitales crecen más rápidamente, sobre todo en los países de Europa central y oriental, igual que las regiones con un alto porcentaje de trabajadores con un alto nivel de estudios. Los resultados son sólidos cuando se tienen en cuenta desbordamientos espaciales entre las regiones europeas.