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Record W2325497272 · doi:10.14288/1.0101779

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

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

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Impact and Sustainability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEconomicsNatural resource economicsComputer scienceEnvironmental economicsEnvironmental science

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.006
Science and technology studies0.0010.004
Scholarly communication0.0070.006
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.172
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2011
Admission routes2
Has abstractyes

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