Multiregional Input-Output Analysis

Leontief, Wassily; Strout, Alan

doi:10.1007/978-1-349-81634-7_8

Cited by 245 publications

(117 citation statements)

References 0 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…where I is the identity matrix, and (I − A) −1 is the Leontief inverse, which includes all direct and indirect impacts between different economic sectors and, thus, counts the total impact across all supply chains (Leontief [32,33]). The fundamental IO theory was extended to include physical indicators such as any economic stimulus and water consumption.…”

Section: Water Consumption Calculationsmentioning

confidence: 99%

A Country-Specific Water Consumption Inventory Considering International Trade in Asian Countries Using a Multi-Regional Input-Output Table

2017

View full text Add to dashboard Cite

Abstract:Interest in the impacts of water use in the life cycle of products and services are increasing among various stakeholders. The water footprint is a tool to identify critical and effective points for reducing the impact of water use through the entire life cycle of products, services, and organizations. The purpose of this study was to develop a water consumption inventory database that focused on identifying of Asian water consumption using an input-output (IO) framework. An Asia International Input-Output table (AIIO) was applied in this study. The amount of water consumption required for agricultural products was estimated by modeling; for other sectors it was estimated from statistical reports. The intensities of direct water consumption in each sector were calculated by dividing the amount of water consumption by the domestic production. Based on the IO analysis using Leontief's inverse matrix, the intensities of water consumption from cradle to gate were estimated for all goods and services. There was high intensity of water consumption in the primary industry sectors, together with a high dependency on rainwater as an input water source. The water consumption intensities generally showed a larger reduction in secondary sectors, in comparison with the tertiary sectors, due to the use of recycled water. There were differences between this study and previous studies due to the use of site-specific production data and the temporal resolution of crop production. By considering site-specific conditions, it is expected that the dataset developed here can be used for estimating the water footprint of products, services, and organizations in nine countries (Japan, South Korea, China, Taiwan, Thailand, the Philippines, Malaysia, Singapore, Indonesia, and USA).

show abstract

Section: Water Consumption Calculationsmentioning

confidence: 99%

A Country-Specific Water Consumption Inventory Considering International Trade in Asian Countries Using a Multi-Regional Input-Output Table

2017

View full text Add to dashboard Cite

show abstract

“…Wilson (1970) a souligné que cette façon de représenter la structure inputoutput des régions est caractéristique du modèle de Léontief et Strout (1963). L'hypothèse de base de cette approche est que la destination ultime des biens est indifférente aux producteurs, et leur origine est indifférente aux consommateurs.…”

Section: Les Contraintes Intersectorielles Régionalesunclassified

“…Léontief et Strout (1963) ont proposé une version gravitaire du modèle inputoutput interrégional, qui tenait compte de la distance entre les régions, sans pour autant permettre de substitution sur la base de changement des coûts de transport. Wilson (1970) récrit ce modèle sous la forme d'un programme mathématique, où la fonction objectif de type entropique à maximiser est assujettie à des contraintes comptables input-output par région et à des contraintes sur les dépenses totales de transport par produit.…”

Section: Introductionunclassified

Un modèle des flux interrégionaux de marchandises au Canada

Bigras

Nguyen

2009

View full text Add to dashboard Cite

Dans cet article, nous présentons un modèle des flux de marchandises entre huit régions du Canada, et pour l’ensemble des biens qui ont été regroupés en 64 catégories. Le modèle fonctionne en deux étapes. Dans un premier temps, les flux observés sont régressés sur certaines variables socio-économiques, dont le coût de transport. On obtient alors des flux « a priori », qui peuvent être modifiés lorsque les variables les expliquant sont elles-mêmes modifiées. Or, ces flux « a priori » ne respectent pas nécessairement la structure industrielle de chaque région. Pour les corriger, on résout un programme mathématique dont la fonction objectif est basée sur la théorie de l’information. On cherche alors les flux qui sont les plus proches possibles des flux « a priori », mais qui respectent également la structure industrielle de chaque région. Cette structure est représentée par des contraintes comptables input-output régionales. Le modèle peut être vu comme un modèle input-output interrégional, où les coefficients interrégionaux sont sensibles à des variations des coûts de transport. La formulation du modèle est également beaucoup plus souple et elle permet de prendre en compte d’autres facteurs explicatifs. Le modèle est testé avec des données input-output canadiennes de 1974, et il est aussi comparé à d’autres modèles.We present in this article a model of freight flows between eight regions in Canada, and for 64 categories of goods. The model works in two stages. First, regressions are made of observed flows on some socio-economical variables, such as transportation costs. We then get prior flows, which can be modified when the explanatory variables are modified. Now, these prior flows do not necessarily respect the industrial structure of each region. To make the corrections, we resolve a mathematical program, whose objective function is based on information theory. We then look for flows as near as possible to prior flows, but which are also consistent with the industrial regional structure. This structure is included in the model using input-output accountable constraints. The model can be seen as an input-output interregional model, where the interregional coefficients are sensitive to variations in transportation costs. The formulation of the model is very flexible and allows to take into consideration other explanatory factors. The model is implemented with canadian input-output data for 1974, and compared to other models

show abstract

“…Soon thereafter, Leontief and Strout (1963) presented a form of the gravity trade model which can be readily implemented for multiregional trade analysis. Compared with the more extensive data on transportation costs required for a linear programming transportation model, only a limited amount of data is needed to implement the Leontief-Strout gravity trade model (hereafter referred to as the LSG model).…”

Section: The Classical Combinatorial Approach: Multiregional Gravity mentioning

confidence: 99%

“…The basic data include: technical input-output coefficients, preferably for each region; final demands for each region; and trade coefficients which reflect the costs of shipping a commodity from one region to another. The summary presented here is taken mostly from Polenske (1970) and Batten (1983); a more complete description may be found in Leontief and Strout (1963).…”

Section: The Classical Combinatorial Approach: Multiregional Gravity mentioning

confidence: 99%

Combinatorial Trade Modelling: Retrospect and Prospect

Batten

1992

Doboku Gakkai Ronbunshu

View full text Add to dashboard Cite

Multiregional Input-Output Analysis

Cited by 245 publications

References 0 publications

A Country-Specific Water Consumption Inventory Considering International Trade in Asian Countries Using a Multi-Regional Input-Output Table

A Country-Specific Water Consumption Inventory Considering International Trade in Asian Countries Using a Multi-Regional Input-Output Table

Un modèle des flux interrégionaux de marchandises au Canada

Combinatorial Trade Modelling: Retrospect and Prospect

Contact Info

Product

Resources

About