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Environmental Economic Instruments in Mexico

2017· reference-entry· en· W2725694983 on OpenAlex
Marisol Rivera-Planter, Carlos Muñoz‐Piña, Mariza Montes de

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOxford Research Encyclopedia of Environmental Science · 2017
Typereference-entry
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)BusinessNatural resourceIncentivePaymentSustainabilityEconomicsFinancePolitical science

Abstract

fetched live from OpenAlex

<italic>This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Environmental Science. Please check back later for the full article.</italic> While most attention on the use of economic instruments for environmental protection has centered on their applications in industrialized countries, middle-income countries have made important inroads as well. Among them, Mexico stands out for its application to the agenda of a wide array of green and brown issues. Starting in 2001, with the introduction of fees to access natural protected areas, followed in 2003, with the establishment of the Payment for Ecosystems Services program for forests, and then in 2014, the introduction of the environmental tax on pesticides, the use of complementary price signals through the fiscal system has sought to influence, in a decentralized manner, the decisions of both consumers and resource owners towards protecting key elements of Mexico’s natural capital. As the central promise from economic instruments is to reduce compliance costs of reaching a certain goal by providing flexibility on how to meet individual obligations, the use of market-based mechanisms in regulations has also been explored with some success in Mexico. Partial incorporation of such a mechanism was applied to the design of its national Federal Fuel Efficiency standards for automobiles, by redefining compliance as meeting a corporate average standard starting from 2006 onwards. More recently, full use of market mechanisms was introduced, in 2016, into the strategy to reach Mexico’s Clean Energy requirement goals. The demonstration by utilities of compliance with the milestone of the national 2024 goal of 35% share of clean energy in power generation can be done either by holding or purchasing Clean Energy Certificates in their secondary market. This allows utilities to separate the decision to purchase energy at the lowest cost, and to meet environmental requirements, also at their lowest cost. Both tax and market mechanisms are converging with Mexico’s Climate Change policy. The Fiscal Reform of 2014 introduced Mexico’s first explicit carbon tax in the form of an excise tax applied to fossil fuels, just as its G20 commitments to phase-out negative carbon pricing (i.e., fossil fuel subsidies) were being fulfilled. With price signals pushing towards more energy efficiency and a lower carbon footprint for the economy, Mexico is on the right track for carbon pricing and is showing leadership at a global scale. It will be interesting to observe how this will mix with a proposed cap-and-trade carbon mechanism, obviously touted as a complementary instrument. The establishment of such a mechanism to meet the emission reduction goals of Mexico’s Climate Change legislation and international commitments is the subject of intense debate and analysis. It represents an interesting decision point for a middle-income country such as Mexico, where all costs are local in nature, the emissions per capita are at the world’s average, and indirect benefits of the energy transition are only partial. In the political economy debate, the linkage to international markets, such as California and Quebec, is not only an option but a central motivation to launch the market, as gains from trade are the driving force.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.095
GPT teacher head0.317
Teacher spread0.222 · 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