Глобальное старение населения, шестой кондратьевский цикл и кибернетическая революция
The Age-Friendly Cities (AFC) framework is being developed by the World Health Organization and has become a global concept. This paper analyses the findings of Age-Friendly Cities Project (AFC) conducted by the author with the World Health Organisation in Russia and the author’s experience of implementing the AFC Framework in the Senior Resource Centre “Wisdom Ripening” in the city of Tuymazy, Republic of Bashkortostan. Methods, used for the paper, include literature review; focus groups reserach (WHO Global AFC Project); interviews with the NGO professionals in Minnesota, USA; interviews and survey of older persons and volunteers, participating in activities of Senior Resource Centre “Wisdom Ripening”.
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.