Public Sector Contribution To Competitiveness

Abstract

Conventional measures of competitiveness in terms of final prices shed little light on how those measures are affected by public expenditure. By taking productivity as a common factor to any index of competitiveness we propose to assess the Italian Public Sector contribution by its productivity in providing public services. Integration of Data Envelopment Analysis with Principal Component Analysis provides a consistent methodology to face the problem of high dimensions, which is a characterising feature of public services provision. Results show a large geographical variability in Public Sector productivity and a significant differentiation in terms of both layers of government and types of services. Thus offering evidence to identify areas, services and tiers of government lacking efficiency and constituting a potential obstacle for growth. A East-West divide emerges on top of the Country's traditional, though less marked than commonly thought, North-South divide.

Exploring health outcomes by stochastic multicriteria acceptability analysis: An application to Italian regions

“…The territorial distribution of these performances is quite in line with previous estimates of health care efficiency in Italy( Giordano & Tommasino, 2013 ;Patrizii & Resce (2015) ), although they use different outcome measures( Giordano & Tommasino, 2013 use life expectancy; Patrizii and Resce (2015) use proxies of health service provided) and a different technique (Data Envelopment Analysis).14 Details on the other years are available from the authors upon request.Please cite this article as: R. Lagravinese, P. Liberati and G. Resce, Exploring health outcomes by stochastic multicriteria acceptability analysis: An application to Italian regions, European Journal of Operational Research, https://doi.org/10.1016/j.ejor.2018.11.009…”

The Role of Innovation and Human Factor in the Development of East Central Europe

“…Integrating private sector into innovation processes (Private and Public Partnership -PPP) while utilising the inherent capital, knowledge and business morale could, in turn, provide a large impetus to each country based on the analysed data. Numerous other authors deal with this topic (Patrizii and Resce, 2015;Faboyede et al, 2015). It can be concluded based on the scores of both GCI and HDI that the examined countries stand very close to each other.…”

The ‘postcode lottery’ of the Italian public health bill analysed with the hierarchy Stochastic Multiobjective Acceptability Analysis

“…Considering that Patrizii and Resce [51] found that the smallest regions outperform the big ones in terms of efficiency of health care in Italy, the low cost of public health care services in the smallest regions may be due to their lower costs of production. To summarize, the results make clear that, since there are different prices for the same public health benefits among different regions, there are strong spatial inequalities in the cost of the Essential Levels of health care in Italy.…”