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Record W2030775276 · doi:10.1111/1467-8306.93106

Accounting for the Environmental “Bottom Line” along the U.S.-Mexico Border

2003· article· en· W2030775276 on OpenAlexaff
Michael Jerrett, Sergio J. Rey, Christian M. Dufournaud, Debbie Jones

Bibliographic record

VenueAnnals of the Association of American Geographers · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of WaterlooMcMaster University
Fundersnot available
KeywordsRecreationEnvironmental accountingTourismAgricultureAgricultural economicsGovernment (linguistics)GeographyValue (mathematics)Environmental protectionEconomicsBusinessAccountingEcology

Abstract

fetched live from OpenAlex

Abstract This article explores the prospects for establishing an environmental accounting system along the U.S.-Mexico border. After reviewing the rationale for environmental accounting and developing an accounting framework, three studies from the San Diego-Tijuana region are presented. In the first study, we estimate the total proportion of government expenditures made to defend the environment against human-induced changes in San Diego. This study reveals that defensive expenditures absorb 1.23 percent of total economic output and more than 21 percent of local government expenditures. The second study focuses on a smaller area along the border where the environmentally sensitive Tijuana Estuary on the U.S. side connects to the heavily populated Canon de los Laureles on the Mexican side. Expenditures made in Mexico aim to protect against threats to human health and safety, while those in the U.S. target the preservation of recreational resources and ecosystem health. Our third study estimates the value of agriculture land losses in San Diego between 1990 and 1995. Using an average price estimate for agricultural output and discount rates ranging from 0 to 5 percent, we find that the present value of the losses ranges from 0.18 percent to 1.8 percent of the total economy. Many of the areas lost to urban development are close to the existing urban area, suggesting the possibility of secondary impacts, such as increased air-pollution emissions resulting from longer transportation distance to market.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.250
Teacher spread0.207 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2003
Admission routes1
Has abstractyes

Explore more

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