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Enregistrement W2325497272 · doi:10.14288/1.0101779

Input-output analysis and the study of economic and environmental interactions

2011· article· en· W2325497272 sur OpenAlexaffabout
Peter A. Victor

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2011
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueEnvironmental Impact and Sustainability
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésEconomicsNatural resource economicsComputer scienceEnvironmental economicsEnvironmental science

Résumé

récupéré en direct d'OpenAlex

This thesis is an attempt to apply the technique of input-output analysis to the study of the relations between an economy and the environment which supports it. The opening chapter contains a brief justification of the use of input-output analysis for this purpose. It is argued that input-output models, which recognise many of the interactions among consumers and producers, can be extended so that they also take account of some of the interactions among consumers, producers, and the natural environment. Emphasis is placed upon the flow of materials between the environment and the economy. Waste products flow from the economy to the environment and 'free' goods flow in the opposite direction. There follows, in the second chapter, a review of the work of three writers who have explored the possibility of using general equilibrium and input-output models to study man's impact on the environment. The models presented by these economists are each found to possess unsatisfactory features. The theoretical core of the dissertation is an adaptation of two recently developed input-output models. Waste products and 'free' goods are introduced into both models in several different ways. The data requirements of the various models differ considerably and only the simplest of the models can be applied to the data on waste products and 'free' goods that are currently available. Canadian data, much of which were collected especially for this study, and the methods used in its estimation, are described in the fourth chapter. Chapter five is a summary of the results obtained from using the data on waste products and 'free' goods in conjunction with the Canadian input-output accounts for 1961. These results include estimates of the wastes produced and 'free' goods used in the production and consumption of one dollar's worth of each type of commodity manufactured in Canada. The results also include estimates of the Provincial distribution of waste products and 'free' goods that were associated with Canadian economic activity in 1961. Furthermore, an attempt is made to rank the commodities produced and consumed in Canada, in terms of the relative impact on the environment of their production and consumption. The final experiment illustrates a method of estimating the ecologic implications of changing the pattern of Canadian consumption. To show this an estimate is made of the effects of transferring 50 per cent of Canadian passenger car travel to public transportation. The last chapter of the thesis is a discussion of the uses to which the models and results might be put in formulating Government policy. Various methods are examined of bringing the production of wastes and use of 'free' goods within the realm of the market economy. It is argued that although it is generally more efficient to price the wastes and 'free' goods directly this policy can only serve as a long term goal. In the short term it is suggested that, for administrative reasons, emphasis should be placed on levying taxes on commodities so that their market prices reflect the ecologic cost of their production and consumption. A schedule of the relative sizes of such taxes is estimated using a model developed for the purpose together with the data collected as part of this study. In conclusion, the overall purpose of the dissertation is to suggest a method of analysis rather than to present comprehensive results. The results which are obtained are intended to be no more than indicative of what would be possible if more accurate and comprehensive data were available.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,045

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,010
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0030,006
Études des sciences et des technologies0,0010,004
Communication savante0,0070,006
Science ouverte0,0020,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0130,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,172
Écart entre enseignants0,164 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2011
Routes d'admission2
Résumé présentoui

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