Performance evaluation of social service provision in Italian major municipalities using Network Data Envelopment Analysis

Corrado lo Storto

Socio-Economic Planning Sciences, 2020, vol. 71, issue C

Abstract: This paper employs Network Data Envelopment Analysis (NDEA) to measure the municipality performance. The NDEA approach allows to have a more comprehensive evaluation of the municipality performance if compared to traditional DEA. The proposed NDEA model aims at shedding new light on the efficiency-effectiveness relationship in the provision of social services by municipalities. Municipal efficiency and effectiveness are combined to generate a single performance measure which can be considered as a proxy measure of the value for money of municipality services. A sample including 103 major Italian municipalities is used as a case to implement the proposed model. Findings indicate that there is no trade-off between the efficiency and effectiveness components of the overall municipal performance score, but rather they appear to be preconditions of each other. Therefore, higher level of performance can be achieved without conflicting one against the other. Furthermore, only 6 municipalities achieve the highest performance level, suggesting that there is still room for improving the performance of a great number of municipalities.

Keywords: Social services; Municipalities; Efficiency; Effectiveness; Performance; Network DEA (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012119304185
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:71:y:2020:i:c:s0038012119304185

DOI: 10.1016/j.seps.2020.100821

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().