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World Energy Outlook 2007: China and India Insights

2007· book· en· W2347069309 sur OpenAlex

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Notice bibliographique

RevueIIASA PURE (International Institute of Applied Systems Analysis) · 2007
Typebook
Langueen
DomaineEnergy
ThématiqueGlobal Energy and Sustainability Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChinaElectrificationElectricityBusinessEconomic growthEnergy supplyDevelopment economicsNatural resource economicsEconomicsGeographyEnergy (signal processing)Engineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

World leaders have pledged to act to change the future shape of the global energy economy. Since the 2006 edition of the WEO, some new policies have been put in place to that effect. Yet in the Reference Scenario in this year’s WEO, which takes these new policies into account, projected global energy demand in 2030 is higher than before and the supply and emissions trends are worsening. What is going on?
\n
\nOne key answer is sustained high levels of economic growth in the new giants of the world economy. China and India together account for nearly half of the entire growth in world energy demand between 2005 and 2030. China is likely to have overtaken the United States to become the world’s largest emitter of energy-related carbon dioxide this year and, by 2015, India will be the thirdlargest emitter. By around 2010, China will overtake the United States to become the world’s largest consumer of energy. In 2030, India will be the thirdlargest oil importer in the world. Over the period to 2030, China will install more new electricity generating capacity than exists in the United States today. China and India need to sustain a phenomenal rate of economic growth. There are still over 400 million people in India without access to electricity. Access to clean burning fuels for cooking and space heating in rural China is still very limited, despite the near-total success of its rural electrification programme. In both countries, the aspirations of a burgeoning middle class are driving social and economic change. There can be no moral grounds for expecting China and India selectively to curb their economic growth simply because world energy demand is rising unacceptably, with associated risks of supply interruptions, high prices and damage to the environment. These are global problems to be tackled on a global basis.
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\nHow those problems might be tackled is illustrated in the Alternative Policy Scenario, which forms an important part of the analysis in this book. Known means exist to cut energy demand and change the fuel mix. Global energyrelated CO2 emissions could be nearly 20% lower by 2030, having levelled off in the 2020s. A volume of oil equal to the entire current oil output of the United States, Canada and Mexico can be removed from world demand by 2030. China and India are increasingly demonstrating their recognition of the need to act – for example, through their commitment to greater energy efficiency, more renewables and cleaner coal technology – with other countries to make the energy future sustainable.
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\nTo attain the much more ambitious long-term objective of stabilising the concentration of greenhouse gases in the atmosphere, the measures considered would still not be enough; but the possible implications of that objective, too, are examined in the 450 Stabilisation case, set out in Chapter 5. On the other hand, growth in the world’s economic tigers could be still higher than we have assumed. We set out the consequences of that. They are not all bad. Most countries outside China and India would benefit economically, despite the feedback to higher energy demand and prices.
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\nChina and India account for a share of global primary demand which is growing at a phenomenal rate – but it will still be no higher than some 30% in 2030. Through this Outlook, the IEA seeks to communicate both parts of this message – the significance of the growth of energy demand in China and India, but also their place in world total demand and their modest use of energy per capita – and then to help realise the global co-operation which, alone, can create a sustainable energy future.
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\nI am immensely proud to have the opportunity to present this latest volume in the acclaimed WEO series, a series which has been so carefully nurtured by my predecessor, Claude Mandil. I pay tribute to him, to Fatih Birol, who has again directed with talent his excellent WEO team, and to the many others who have contributed to this work. It is particularly gratifying that this edition has been the occasion for close collaboration between the Chinese and Indian authorities and the IEA. This is a relationship which symbolises the interdependence of the global energy community. It is one which I shall do my best to safeguard and develop, hopefully paving the way, with the support of all the governments concerned, to an ultimate objective of their future membership of the International Energy Agency.

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.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,957
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,010
Tête enseignante GPT0,248
Écart entre enseignants0,238 · 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