The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas [chapter]

Fernando Escobedo, Jose M. Urena
2008 Advances in Mathematical and Statistical Modeling  
When a transactions matrix is built for an Interregional Input-Output Analysis, we must develop two types of submatrixes. The diagonal submatrixes, which involve economic interchanges inside a certain region, and the non-diagonal submatrixes, which represent economic flows between different regions. Nevertheless, this last type of submatrixes entails an additional difficulty respect to the first type. It uses to be necessary for obtaining a diagonal submatrix to carry out a process of
more » ... ation but for obtaining a non-diagonal submatrix, besides a regionalization process it is necessary to undertake a Disaggregation process too. On the other hand, the regionalization and Disaggregation methods revised in this paper fail to include the spatial features of the regions which take part in the input-output analysis and the characteristics of the transport links between them. For these reasons we expound in this paper a new method of regionalization and Disaggregation, based on potential methods, which takes into account the Gross Added Value of each economic sector in every region and the transport infrastructure used by those, emphasizing the high speed train and air transport infrastructures. This method is specially suitable for input-output analysis between regions which are linked by a few means of transportation, like a metropolitan area and a remote area which depends largely on the first one. The method is developed for an Interregional Input-Output Analysis of two regions and then applied for Ciudad Real and Madrid Provinces in Spain. The data come from the Castilla La Mancha (Region which includes Ciudad Real Province) and Madrid Province Input-Output Tables of 1995 and 1996 respectively and as a result of the contrast between both tables an Interregional Input-Output Table of twenty-seven economic sectors is created. Finally one of the main conclusions is that the method depends largely on the availability of the data of Gross Added Value and its level of Disaggregation. We are really proud to participate in such a deserved homage. We want to recognize the extraordinary work of Enrique Castillo throughout his prolific academic life.
doi:10.1007/978-0-8176-4626-4_17 fatcat:fnwjjp7s2vb7floc4wbaxaec2i