Financing Technological Improvements and Firm Competitive Advantage Through the Kyoto Protocol's Clean Development Mechanism (CDM): A Latin American Example
Bibliographic record
Abstract
ABSTRACT For nations of the global south there has been an overall dismissal of emissions reduction practices surrounding global warming, and perhaps rightfully so. Developed countries have been identified as the primary contributor towards the climate change issue, and many countries perceive that the curbing of emissions will lead to the stagnation of economic growth and prosperity. For developing nations, embracing emission reductions or carbon emission offsets appear to make little sense if in fact such actions would result in the economic contraction expected. However, we suggest that the climate change issue, although perceived as an obstacle to growth and prosperity, holds several strategic competitive advantages for first movers. Three factors are discussed regarding first mover advantage and we use the energy industry of the Latin American and Caribbean (LAC) region as our example. RESUMEN. Para las naciones del sur global, ha habido un rechazo general, quizás apropiado, de la reducción de las prácticas relativas a las emisiones sobre el calentamiento global. Se ha identificado que los países desarrollados son los principales contribuyentes altema del cambio climático, y muchos países perciben que el acto de frenar las emisiones llevará al estancamiento del crecimiento económico y la prosperidad. Para los países desarrollados, parece tener poco sentido común abrazar la causa de reducir las emisiones o compensar las emisiones de carbono si, de hecho, estas acciones resultarán en la esperada contracción de la economía. Sin embargo, sugerimos que, a pesar de percibirse como un obstáculo contra el crecimiento y la prosperidad, el tema del cambio climático ofrece varias ventajas competitivas para los que den el primer paso. Se discuten tres factores respecto a la ventaja para el que tome la iniciativa, y usamos la industria energética de la región latinoamericana y caribeña (LAC), para ilustrar nuestro ejemplo. RESUMO. As nações do sul do globo terrestre těm verificado um retro-cesso geral, conveniente, nas práticas de redução de emissão de gases que envolvem o aquecimento da terra. Os países desenvolvidos são os que mais contribuem para o fenômeno da mudança climática, e muitos países entendem que a diminuição das emissões conduzirão à estagnação da prosperidade e do crescimento econômico. Para as nações em desenvolvimento, adotar a redução das emissões ou compensar a emissão do gás carbônico não parece fazer muito sentido, se tais ações, de fato, resultarem na retração econômica esperada. Sugerimos, contudo, que o tema da mudança climática, embora seja considerado um obstáculo ao crescimento e à prosperidade, ofereça diversas vantagens competitivas estratégicas para os que tomarem esta iniciativa. Três fatores são discutidos em relação à vantagem daqueles que derem o primeiro passo, e usamos, como exemplo, a indústria energética das regiões da América Latina e do Caribe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".