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Record W2587909508

Tax and environmental incentives to use hydrocarbon based air conditioning units in Thailand

2016· article· en· W2587909508 on OpenAlexaboutno aff
Sepideh Bazrafkan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal ProtocolOzone layerIncentiveEnvironmental taxAir conditioningDeveloping countryBusinessRefrigerationDumpingOzone depletionEnvironmental protectionEnvironmental scienceNatural resource economicsWaste managementInternational tradeOzoneEconomic growthEngineeringLawEconomicsMeteorologyPolitical scienceGeographyTax reform
DOInot available

Abstract

fetched live from OpenAlex

Environmental protection is one of the most important global issues in the 21 st Century, and ozone layer depletion is among the most serious environmental problems. The ozone layer is being destroyed by a group of manufactured chemicals containing chlorine and/or bromine. These chemicals are called ozone-depleting substances (ODS). The main ODSs are chlorofluorocarbons (CFCs) and hydrochlorofluorcarbons (HCFCs), which are mostly being used in refrigeration and air conditioning (RAC) systems. The Montreal Protocol is an international agreement to protect the ozone layer, and Thailand is one of the countries which have signed it. Under the Montreal Protocol, Thailand has committed herself to phase out and phase down the use of ODSs, but this would be impossible without a clear environmental tax law to control import/export and the use of ODSs and ODS-based refrigeration and air conditioning (AC) units. Thailand is listed as a developing country in the Article 5 countries of the Montreal Protocol, which states that all of the Article 5 countries should phase down and ban the use of ODSs with the help of laws and regulations.  The situation in developed countries is totally different. They must ban the use of ODSs faster than Article 5 countries because due to their facilities doing these kinds of projects, , is much more easily practicable and faster than in developing countries. There is no environmental tax law in Thailand to control or ban manufacturers from producing HCFC- and HFC-based AC units and the traders from importing them. This lack of an environmental tax law is a barrier to the incentivizing of the use of ODS alternatives, such as hydrocarbon (HC) based air conditioning units.  In addition, the customs tariffs for all gasses used in AC units are the same, and all of them are under the same section in the Harmonized System (HS) code, so this is another disincentive to the use of HC-based AC units. This article looks at the environmental tax laws of Australia and the United States as the best means and most successful instances of control and banning of the use of ODSs and ODS-based equipment. This study suggests that Thailand must ratify an environmental tax law and amend the customs laws and regulations in order to achieve its obligations under the Montreal Protocol. Ultimately, the findings of this study aim to help Thailand develop a sustainable business model for HC-based air conditioning units among ASEAN countries, as the country plays a major role in the business of all of these countries.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.001

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 head0.060
GPT teacher head0.213
Teacher spread0.154 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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