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How developing countries can benefit from policies to control climate change

2001· book-chapter· en· W2267481813 sur OpenAlexaboutno aff
David Pearce

Notice bibliographique

RevueUCL Discovery (University College London) · 2001
Typebook-chapter
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueClimate Change Policy and Economics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésKyoto ProtocolGreenhouse gasDeveloping countryClimate changeGlobal warmingJoint ImplementationUnited Nations Framework Convention on Climate ChangeConventionClimate change mitigationClean Development MechanismBusinessNatural resource economicsInternational tradeEnvironmental resource managementEconomicsPolitical scienceEconomic growthEcology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The Framework Convention on Climate Change (1992) and the Kyoto Protocol (1997) set the foundations for the global control of greenhouse gas emissions, and hence the control of global warming. While developing countries do not yet have emission reduction targets under the Protocol, they stand to gain by its provisions. First,global warming damage is unequally distributed and is likely to affect developing countries more than developed countries. Second, the Protocol’s provision for ‘joint implementation’ – a limited form of emissions trading – could greatly facilitate the transfer of clean and more efficient technology to the developing world.There are real prospects for mutual gain. Introduction: Developing countries and climate change The United Nations Framework Convention on Climate Change () of 1992 established that accelerated climate change, or ‘global warming,’ arising from the emission of ‘greenhouse gases’ () posed threats to human wellbeing and ecosystem integrity; that, while the nature of the threats remains very uncertain, action should be taken in advance of scientific certainty (the ‘precautionary principle’); that developed economies should take the lead in reducing emissions of , and that the ‘incremental cost’ of any actions taken by developing countries under the Convention should be met by the international community through a financing mechanism subsequently agreed to be the Global Environment Facility (GEF). The  emissions reduction targets set under the  were not legally binding, but centred on the return of industrialised countries’ emissions of CO2 in 2000 to 1990 levels. One matter of serious concern is that these voluntary targets for 2000 have not been met by many of the signatories. The Kyoto Protocol to the  was agreed to in December 1997 and is now open for ratification. In contrast to the 2000 targets, the Protocol set mandatory targets, binding international law, using the period from 2008 to 2012 as the first ‘commitment period.’ These targets are shown in Table 1. Countries with mandatory targets are the ‘Annex B’ countries—primarily, industrialised countries and the economies in transition (EITs). Under the Protocol, developing countries do 1 The relevant GHGs are: carbon dioxide (CO2), methane (CH4), nitrous oxides (N2O), chlorofluorocarbons (cfcs), hydrofluorocarbons (hfcs), perfluorocarbons (pfcs) and sulphur hexafluoride (SF6). CFCs are regulated under the Montreal Protocol on Protection of the Stratospheric Ozone Layer. 214     not have targets, although a few countries have subsequently adopted their own targets (e.g. Argentina). This reflects the agreement under the  that the primary responsibility for climate change rests with the developed economies, although it is increasingly recognised that the rate of growth of  emissions from developing countries means that they will soon be substantial ‘drivers’ of future rates of global warming. Since developing countries currently do not assume responsibility for climate change, and since their policy priorities lie in securing sustained economic and social development, policies towards climate change control would seem to hold out little benefit for them. However, this is not the case, and it is important to understand that developing countries can gain significant development advantages by participating in various mechanisms established under the  and the Kyoto Protocol. How can developing countries benefit from climate change control? There are essentially four ways in which developing countries can benefit from climate change control: 1. Some developing countries are especially threatened by climate change: notably, those that are vulnerable to sea level rise and those that are at risk from major weather events, such as hurricanes, which are expected to increase in frequency and severity. Thus, if rates of warming are reduced, these countries can expect to benefit, even if they take no direct action. 2. The  enabled ‘joint implementation’ () a process whereby a country with an emissions reduction target can reduce emissions in another country and count the emissions reduction against its own target. Under the Kyoto Protocol, several forms of joint implementation are permitted. There are guidelines for partnerships between countries with emission targets and between table 1 emissions reduction targets under the kyoto protocol and the eu burden sharing agreement country target % reduction from 1990 emissions levels of 6 ghgs between 2008 and 2012 + 8 – 6 + 10 – 6 – 8 – 8 0 1 – 8 – 7 –8 Australia Canada Iceland Japan Liechtenstein Monaco New Zealand Norway Switzerland United States European Union country all ghgs (2010) eu burden sharing Austria Belgium Denmark Finland France Germany Greece Ireland Italy Luxembourg Netherlands Portugal Spain Sweden U.K. – 13 – 7.5 – 21 0 0 – 21 + 25 + 13 – 6.5 – 28 – 6 + 27 + 15 + 4 – 12.5 – 20 domestic co2 target (2010) economies in transition Bulgaria Croatia Czech Republic Estonia Hungary Latvia Lithuania Poland Romania Russian Federation Slovakia Slovenia – 8 – 5 – 8 – 8 – 6 – 8 – 8 – 6 – 8 0 – 8 – 8

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,950
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,053
Tête enseignante GPT0,197
Écart entre enseignants0,144 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2001
Routes d'admission1
Résumé présentoui

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Même revueUCL Discovery (University College London)Même sujetClimate Change Policy and EconomicsTravaux en français237 207