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Enregistrement W7009816729

Equalisation of territorial units and incomes: case study of Nordic, Central European and Southern countries

2014· article· en· W7009816729 sur OpenAlexaboutno aff

Notice bibliographique

RevuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLocal Government Finance and Decentralization
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDecentralizationFiscal federalismDistribution (mathematics)AutonomyService (business)Resource (disambiguation)Quality (philosophy)Regional policyFederalism
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The last two decades witnessed an ongoing trend towards fiscal decentralisation in Europe – sub-central governments have been given more responsibilities and greater shares in public spending (Bloechliger & Vammalle 2012). The policy of decentralisation brings with it a promise of increased efficiency in terms of service provision and resource allocation on local and regional levels. The often unwanted consequence of decentralisation is that growing taxing powers and financial autonomies given to territorial units are accompanied by growing disparities in terms of wealth and/or income distribution between local governments. Hence the need for fiscal equalisation appears. The overriding objective of fiscal equalisation is to correct imbalances in fiscal capacity of territorial units resulting from sub-central autonomy and differentiation in terms of tax bases and to allow local and regional governments to provide their citizens with services of comparable quality and quantity. A recent study across eighteen countries (Australia, Austria, Canada, Denmark, Finland, Germany, Greece, Italy, Japan, Mexico, Norway, Poland, Portugal, Spain, Sweden, Switzerland, Turkey, and United Kingdom) showed that fiscal equalisation involves transfers varying from 0.5% to 3.8% of GDP (Bloechliger, Merk, Charbit, Mizell 2007).Depending on specific arrangements, equalisation mechanisms may be in line with the chosen policy for development, supporting either territorially balanced development or placing emphasis on development engines. This paper builds on notions of fiscal federalism and fiscal equalisation to give a better view of approaches to income equalisation between territorial units in six European countries. Countries chosen for comparison within the framework of this paper are different in terms of geographical location, size, levels of socio-economic development and adopted local government systems. The major criterion for choosing case study countries was their geographical location, as it is the authors’ intention to highlight differences in approach to fiscal equalisation between the Nordic countries (Finland and Sweden), Central European countries (Poland and Hungary), and the Mediterranean countries (Greece and Portugal). The hypothesis which is put forward and tested by the research team is as follows: The attitudes and approaches towards fiscal equalisation between local governments in: (1) the Nordic countries, (2) the Central European countries and (3) the Mediterranean countries differ significantly, reflecting cultural differences and different economic conditions in these countries. Specifically, the following sub-hypotheses are put forward and tested: + higher level of socio-economic development tends to favour stronger equalisation policy and mechanisms between local governments; + countries where local governments participate to a greater degree in public sector expenditures require far stronger equalisation mechanisms. The hypotheses are backed up by reasonable expectation that the extent of horizontal equity pursued in each country is based on value judgments of political actors in power. There might also be efficiency motives for equalisation grants (King 1984, 140-146). The first sub-hypothesis may be justified by the need of developing countries to favour rapid growth and encourage people to move from low productivity areas to highly productive areas, resulting with strategies favouring development engines and cautious with regards to high levels of redistribution (i.e. by means of equalisation grants to local governments in lagging areas). Respectively the more developed countries tend to emphasise equality at the expense of a lower growth rate and tend to favour stronger equalisation policy and mechanisms between local governments. The second sub-hypothesis is a natural anticipation that big volumes of local government activities lead rather to big than low volumes of equalisation of local government expenditures. The paper starts with snap-shot descriptions of countries chosen for analysis. Country backgrounds present situation in terms of socio-economic development, inequality in terms of personal wealth distribution and approaches to equalisation of personal incomes in respective 3 countries. Each country’s background also includes basic information on administrative division, scope of tasks performed by local governments, general structure of local government incomes and level of local government expenditure relative to GDP or central government spending. The second part of the paper is devoted to describing in more detail the grant systems and income equalisation mechanisms applied in all six case study countries. The final, third, part of the paper presents examples of how equalising measures work in relation to selected local governments which provide an overview of local governments of different income level prior to equalisation. This part then leads to conclusions, revisiting the hypotheses formulated above. The conclusions described in the paper are of a tentative character, showing possible research problems for future in-depth analyses which were not possible in a large, six-country comparison.

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)0,006
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,529
Score d'incertitude au seuil0,820

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,073
Tête enseignante GPT0,380
Écart entre enseignants0,307 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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