On the role of environmental corruption in healthcare infrastructures: An empirical assessment for Italy using DEA with truncated regression approach.
OBJECTIVE
This paper investigates empirically whether the institutional features of the contracting authority as well as the level of 'environmental' corruption in the area where the work is localised affect the efficient execution of public contracts for healthcare infrastructures.


METHODS
A two-stage Data Envelopment Analysis (DEA) is carried out based on a sample of Italian public contracts for healthcare infrastructures during the period 2000-2005. First, a smoothed bootstrapped DEA estimator is used to assess the relative efficiency in the implementation of each single infrastructure contract. Second, the determinants of the efficiency scores variability are considered, paying special attention to the effect exerted by 'environmental' corruption on different types of contracting authorities.


RESULTS
Our results show that the performance of the contracts for healthcare infrastructures is significantly affected by 'environmental' corruption. Furthermore, healthcare contracting authorities are, on average, less efficient and the negative effect of corruption on efficiency is greater for this type of public procurers.


CONCLUSIONS
The policy recommendation coming out of the study is to rely on 'qualified' contracting authorities since not all the public bodies have the necessary expertise to carry on public contracts for healthcare infrastructures efficiently.
Department of Economics and Business, University of Catania, Italy.
Marina
M
Cavalieri
Department of Economics and Business, University of Catania, Italy. Electronic address: guccio@unic.it.
Calogero
C
Guccio
Department of Economics and Business, University of Catania, Italy.
Ilde
I
Rizzo
D003164:Competitive Bidding / Q000706:statistics & numerical data; D005160:Facility Design and Construction / Q000191:economics* / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D005607:Fraud; D006268:Health Facilities / Q000191:economics* / Q000706:statistics & numerical data; D058016:Health Facility Administration / Q000191:economics / Q000706:statistics & numerical data; D007558:Italy; D015233:Models, Statistical
Bootstrap truncated; Corruption; DEA; Efficiency; Infrastructures for healthcare; Public procurement