Local government size and service level provision. Evidence from conditional non-parametric analysis

Autor: Giovanna D'Inverno, Kristof De Witte, Wim Moesen
Přispěvatelé: Maastricht Graduate School of Governance, RS: GSBE MGSoG
Rok vydání: 2022
Předmět:
Local governments
Economics and Econometrics
Strategy and Management
Efficiency analysis
Geography
Planning and Development
0211 other engineering and technologies
FRONTIER MODELS
h72 - State and Local Budget and Expenditures
02 engineering and technology
Management Science and Operations Research
Fiscal illusion
0502 economics and business
Econometrics
Data envelopment analysis
BENEFIT
050207 economics
Measure (data warehouse)
021103 operations research
PRODUCTIVITY
DIRECTIONAL DISTANCES
05 social sciences
MUNICIPAL AMALGAMATIONS
PERFORMANCE
Public good
POLICY
Diseconomies of scale
language.human_language
Flemish
Municipal mergers
Service level
Local government
language
Municipal expenditure
Business
State and Local Budget and Expenditures
Composite indicator
Statistics
Probability and Uncertainty
PUBLIC-SECTOR EFFICIENCY
Zdroj: Socio-Economic Planning Sciences, 81:100917. Elsevier Limited
ISSN: 0038-0121
DOI: 10.1016/j.seps.2020.100917
Popis: Although the local provision of public goods accommodates better to the heterogeneous local preferences and mitigates the fiscal illusion problem, it comes at the cost of potential diseconomies of scale. This paper examines the relationship between municipal size and local service level provision by applying state-of-the-art non-parametric techniques to a unique panel dataset of Flemish data. We measure the service provision level by using an innovative robust conditional ‘Benefit of the Doubt’ model and we estimate its efficiency in relationship with the local expenditures by means of a robust conditional Data Envelopment Analysis model. Overall, the main findings suggest the presence of diseconomies of scale, and provide weak evidence on an optimal size of local public good provision of around 10,000 citizens. ispartof: Socio-Economic Planning Sciences vol:81 status: published
Databáze: OpenAIRE
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