Кластерные политики и кластерные инициативы: теория, методология, практика
This paper aims to introduce and prove an estimation mechanism of cluster’s development conditions in the economy of region. The research is based on the assumptions of V. Chiesa’s work where four “driving forces” of cluster forming are defined. The empirical analysis of cluster forming conditions in economic sectors of Perm region is pres ented over 2004-2007 years. The introduced approach uses public statistical data only.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.