1996
DOI: 10.1016/0038-0121(95)00022-4
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Optimal consolidation of municipalities: An analysis of alternative designs

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Cited by 7 publications
(2 citation statements)
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“…While larger municipalities with populations over 250,000 are supposed to be less efficient using many different evaluation criteria, a weak correlation between size and efficiency was observed for municipalities with populations between 25,000 and 250,000 inhabitants [61]. Moreover, while literature suggests that smaller municipalities are likely to be less efficient and perform worse, important deviations from this general pattern have been documented [59]. At the same time, small municipalities have been frequently demonstrated to be largely efficient (both quantitatively and qualitatively) in the provision of specialized services [31].…”
Section: Literaturementioning
confidence: 95%
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“…While larger municipalities with populations over 250,000 are supposed to be less efficient using many different evaluation criteria, a weak correlation between size and efficiency was observed for municipalities with populations between 25,000 and 250,000 inhabitants [61]. Moreover, while literature suggests that smaller municipalities are likely to be less efficient and perform worse, important deviations from this general pattern have been documented [59]. At the same time, small municipalities have been frequently demonstrated to be largely efficient (both quantitatively and qualitatively) in the provision of specialized services [31].…”
Section: Literaturementioning
confidence: 95%
“…By analyzing the provision of local government services in monetary terms (i.e., evaluating the costs' structure), Carey et al [59] operationalized the concept of an 'optimal' size for administrative units of different governance level (e.g., regional authorities prefectures, provinces, homogeneous districts with specific administrative duties, and municipalities). Based on empirical models, the optimal number of municipalities for a fixed population size in a given regional context was identified under the assumption that geographic aggregation of local units into larger and denser districts would reduce costs of public services (Figure 1).…”
Section: Literaturementioning
confidence: 99%