Государственная поддержка социального предпринимательства и социально-ориентированных некоммерческих проектов. Опыт Московской области
The book about nature of Moscow region/
Ключевые слова: государственная поддержка, эффективность, инвестиции, проекты, фискальная политика, выгоды
This paper based on extensive survey analyzes relationships between Russian companies and the state in 2006–2010. As well as company characteristics, regional differences are also taken into account. Special focus is made on changes in relations due to world crisis and differences in relations with the state between industrial companies and enterprises from service sector. Regression analysis shows that in 2009–2010 relationship was built on “model of exchange” principle and the system was quite inert: even changes in GRP and investments’ level induced by crisis do not influence the probability of receiving government support. However, it was established that when allocating support the authorities take unemployment changes into consideration, which means that social factors matter.
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.