Economic Freedom of the World - 2021 Annual Report
Notice bibliographique
Résumé
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,031 | 0,029 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».