Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota

Abstract In parallel with the increasing availability of multiregional input–output (MRIO) tables, there has been a growing concern on IO modelling at lower levels of spatial disaggregation, to reflect the particular features of cities better. The urbanization process is one of the salient character...

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Main Authors: Fabio Monsalve, Mateo Ortiz, María-Ángeles Cadarso, Enrique Gilles, Jorge Zafrilla, Luis-Antonio López
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Journal of Economic Structures
Subjects:
Online Access:https://doi.org/10.1186/s40008-020-0185-8
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spelling doaj-866a730c3d3d4e9ba7f639e527718cc72021-02-07T12:49:38ZengSpringerOpenJournal of Economic Structures2193-24092020-02-019112410.1186/s40008-020-0185-8Nesting a city input–output table in a multiregional framework: a case example with the city of BogotaFabio Monsalve0Mateo Ortiz1María-Ángeles Cadarso2Enrique Gilles3Jorge Zafrilla4Luis-Antonio López5Global Energy and Environmental Economics Analysis Research Group, Faculty of Economics and Business, University of Castilla-La ManchaGlobal Energy and Environmental Economics Analysis Research Group, Faculty of Economics and Business, University of Castilla-La ManchaGlobal Energy and Environmental Economics Analysis Research Group, Faculty of Economics and Business, University of Castilla-La ManchaFaculty of Business, Finance and Economics, Ean UniversityGlobal Energy and Environmental Economics Analysis Research Group, Faculty of Economics and Business, University of Castilla-La ManchaGlobal Energy and Environmental Economics Analysis Research Group, Faculty of Economics and Business, University of Castilla-La ManchaAbstract In parallel with the increasing availability of multiregional input–output (MRIO) tables, there has been a growing concern on IO modelling at lower levels of spatial disaggregation, to reflect the particular features of cities better. The urbanization process is one of the salient characteristics of the current stage of globalization, so it is imperative to know more about their global economic, social and environmental impacts. MRIO initiatives are defined at the country level, which means that we are potentially losing some key information about cities and their economic structures. In this paper, we fill this gap by putting together the IOT for the city of Bogota (Colombia) into the well-known OECD’s ICIO database. After describing the structure of both IOTs, we document the harmonization and nesting procedures in a step by step approach, focusing on the main challenges and assumptions that we have to make. Additionally, a case study has been carried out to weight the level of integration of Bogota in global value chains. The analysis proves the low level of global integration: the bulk of the valued-added generated in Bogota due to the city’s exports comes from the economy of the rest of the country and presents a significant deficit in its value-added balance. Apart, we hope it could shed some light to conduct similar adaptations for other cities.https://doi.org/10.1186/s40008-020-0185-8NestingMultiregional input–output modelCitiesBogotaICIO
collection DOAJ
language English
format Article
sources DOAJ
author Fabio Monsalve
Mateo Ortiz
María-Ángeles Cadarso
Enrique Gilles
Jorge Zafrilla
Luis-Antonio López
spellingShingle Fabio Monsalve
Mateo Ortiz
María-Ángeles Cadarso
Enrique Gilles
Jorge Zafrilla
Luis-Antonio López
Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota
Journal of Economic Structures
Nesting
Multiregional input–output model
Cities
Bogota
ICIO
author_facet Fabio Monsalve
Mateo Ortiz
María-Ángeles Cadarso
Enrique Gilles
Jorge Zafrilla
Luis-Antonio López
author_sort Fabio Monsalve
title Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota
title_short Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota
title_full Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota
title_fullStr Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota
title_full_unstemmed Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota
title_sort nesting a city input–output table in a multiregional framework: a case example with the city of bogota
publisher SpringerOpen
series Journal of Economic Structures
issn 2193-2409
publishDate 2020-02-01
description Abstract In parallel with the increasing availability of multiregional input–output (MRIO) tables, there has been a growing concern on IO modelling at lower levels of spatial disaggregation, to reflect the particular features of cities better. The urbanization process is one of the salient characteristics of the current stage of globalization, so it is imperative to know more about their global economic, social and environmental impacts. MRIO initiatives are defined at the country level, which means that we are potentially losing some key information about cities and their economic structures. In this paper, we fill this gap by putting together the IOT for the city of Bogota (Colombia) into the well-known OECD’s ICIO database. After describing the structure of both IOTs, we document the harmonization and nesting procedures in a step by step approach, focusing on the main challenges and assumptions that we have to make. Additionally, a case study has been carried out to weight the level of integration of Bogota in global value chains. The analysis proves the low level of global integration: the bulk of the valued-added generated in Bogota due to the city’s exports comes from the economy of the rest of the country and presents a significant deficit in its value-added balance. Apart, we hope it could shed some light to conduct similar adaptations for other cities.
topic Nesting
Multiregional input–output model
Cities
Bogota
ICIO
url https://doi.org/10.1186/s40008-020-0185-8
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