A bi-regional (rectangular) Input-Output model for Portugal: centro and rest of the country

Abstract

A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos.Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da instituição detentora da supramencionada licença.Ao utilizador é apenas permitido o descarregamento para uso pessoal, pelo que o emprego do(s) título(s) descarregado(s) para outro fim, designadamente comercial, carece de autorização do respetivo autor ou editor da obra.Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso.A bi-regional (rectangular) Input-Output model for Portugal: centro and rest of the country Autor(es):Ramos, Pedro; Cruz, Luís; Barata, Eduardo; Parreiral, André; Ferreira, João-Pedro 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.

The opportunity costs of commuting: the value of a commuting satellite account framework with an example from Lisbon Metropolitan Area

“…1 This CSA modeling framework is based on the MULTI2C -multi-sectoral multi-regional Coimbra model developed by researchers from the University of Coimbra, Portugal, which allows the adoption of different geographical configurations and empirical applications. The MULTI2C framework also includes extensions to the regional consumption of primary energy products (in physical terms) and corresponding pollutant emissions (Ramos et al, 2015). Table 1 presents the structure of the proposed CSA, including a brief description of the variables considered and their dimension.…”

“…According to MULTI2C procedures, net interregional trade (exports less imports, by commodity) is estimated by the residue method (i.e., by the difference between other sources of regional supply and demand). Interregional gross imports are then estimated by examining the nature of each product and following the method described in Ramos et al (2015). There, products are classified into three types: as regionally nontradable, fully tradable internationally and interregionally, or regionally tradable between specific locations.…”

Energy–Economy–Environment Interactions: A Comparative Analysis of Lisbon and Sao Paulo Metropolitan Areas

“…7 The proposed MRIO framework to account for the Lisbon metropolitan area case is based on MULTI2C, a multi-sectoral and multi-regional framework developed by a group of researchers from the University of Coimbra (Portugal). This framework allows for the adoption of different geographic configurations and empirical applications (Ramos et al, 2015). This particular application relies on the 2010 version of MULTI2C.…”

“…The interregional trade was also estimated according to the MULTI2C approach. As net interregional trade, by products, is determined by the commodity-balance method (Miller and Blair, 2009, p. 356), 8 the basic idea to estimate gross exports and imports consists of differentiating the levels of "regional tradability" (Ramos et al, 2015). This means that the partition of each national input or other use, between regional imports and locally produced products, depends on a typology of tradability.…”

Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario

“…The proposed MRIO framework is based on MULTI2C, a multi-sectoral and multiregional framework developed by a group of researchers from the University of Coimbra (Portugal) with critical input from Geoffrey J. D. Hewings, mainly in his capacity as a consultant on earlier R&D projects. This framework allows the adoption of different geographic configurations and empirical applications (Ramos et al 2015).…”