Factors explaining inter-municipal cooperation in service delivery: a meta-regression analysis
178 citations recorded by the source corpus.
Inter-municipal cooperation is an important public service delivery reform, whose drivers move beyond simple concerns with costs and economic efficiency, to policy issues related to governance structure and spatial context. We conduct a meta-regression analysis based on the existing multivariate empirical literature to explore what factors explain divergence in results in the existing empirical studies. We find strong evidence that fiscal constraints, spatial, and organizational factors are significant drivers of cooperation. Our meta-regressions do not yield results to explain divergence in results on community wealth, economies of scale, or racial homogeneity. More studies on these factors are needed to understand how these factors might affect cooperation. Future theoretical and empirical research should give more attention to spatial and organizational factors to develop a better understanding of factors driving cooperation, and how they differ across local government structures and regions.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/e020805a0b4531841a6eb040e4e0440c22a70af1
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In Economics and Econometrics
In Political Science and International Relations
Citations in the corpus
- What have we learned from the last three decades of empirical studies on factors driving local privatisation? (2017, background): “The recent metaregression on the drivers of inter-municipal cooperation conducted by Bel and Warner (2016) includes more than 40 empirical studies.”