MétaCan
Menu
Retour à la cohorte
Enregistrement W2351445426 · doi:10.2139/ssrn.3924422

Economic Freedom of the World - 2021 Annual Report

2021· article· en· W2351445426 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueSMU Scholar (Southern Methodist University) · 2021
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueIncome, Poverty, and Inequality
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEconomic freedomPolitical scienceEconomicsLaw

Résumé

récupéré en direct d'OpenAlex

The index published in Economic Freedom of the World measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured in five broad areas: Size of Government: As government spending, taxation, and the size of government-controlled enterprises increase, government decision-making is substituted for individual choice and economic freedom is reduced. Legal System and Property Rights: Protection of persons and their rightfully acquired property is a central element of both economic freedom and civil society. Indeed, it is the most important function of government. Sound Money: Inflation erodes the value of rightfully earned wages and savings. Sound money is thus essential to protect property rights. When inflation is not only high but also volatile, it becomes difficult for individuals to plan for the future and thus use economic freedom effectively. Freedom to Trade Internationally: Freedom to exchange – in its broadest sense, buying, selling, making contracts, and so on – is essential to economic freedom, which is reduced when freedom to exchange does not include businesses and individuals in other nations. Regulation: Governments not only use a number of tools to limit the right to exchange internationally, they may also impose onerous regulations that limit the right to exchange, gain credit, hire or work for whom you wish, or freely operate your business. Since the Fraser Institute’s first publication in 1996, numerous studies have used the data published in Economic Freedom of the World to examine the impact of economic freedom on investment, economic growth, income levels, and poverty rates. Virtually without exception, these studies have found that countries with institutions and policies more consistent with economic freedom have higher investment rates, more rapid economic growth, higher income levels, and a more rapid reduction in poverty rates. The most recent comprehensive data available are from 2019. Hong Kong remains in the top position. The apparent increased insecurity of property rights and the weakening of the rule of law caused by the interventions of the Chinese government during 2020 and 2021 will likely have a negative impact on Hong Kong’s score, especially in Area 2, Legal System and Property Rights, going forward. Singapore, once again, comes in second. The next highest scoring nations are New Zealand, Switzerland, Georgia, United States, Ireland, Lithuania, Australia, and Denmark. Rankings of other major countries The rankings of some other major countries are Canada (14th), Japan (18th), Germany (22nd), Italy (47th), France (53rd), Mexico (75th), Russia (100th), India (108th), Brazil (109th), and China (116th). Ten lowest-rated countries The ten lowest-rated countries are: Central African Republic, Democratic Republic of Congo, Syria, Republic of Congo, Iran, Zimbabwe, Algeria, Libya, Sudan, and, lastly, Venezuela. Nations that are economically free out-perform non-free nations in indicators of well-being. In the top quartile, the average income of the poorest 10 per cent was $14,400, compared to $1,549 in the bottom quartile (PPP constant 2017, international$). Interestingly, the average income of the poorest 10 per cent in the most economically free nations is more than twice the average per-capita income in the least free nations. In the top quartile, 0.9. per cent of the population experience extreme poverty (US$1.90 a day) compared to 34.1 per cent in the lowest quartile. Life expectancy is 81.1 years in the top quartile compared to 65.9 years in the bottom quartile.

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)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,929
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

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

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 Opus0,027
Tête enseignante GPT0,293
Écart entre enseignants0,266 · 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