The article represents a sort of prologue to the debate about the political form as a phenomenon and as an analytical category. After the excursion into morphology and its inherent interpretations of forms (morphs, patterns, types, images etc.), as well as into the chronopolitical scheme of evolutionary morphology undertaken by the author in the first part of the paper (seePoliteia, 2014, № 4), M.Ilyin starts discussing specific ideas and proposals put forward by S.Kaspe in the article “On Notion of Political Form” published in Politeia, 2012, № 4. He focuses on the issues related to the conceptualization of political forms and evolutionary sequence of forms’ development.
The article represents a sort of prologue to the debate about the political form as a phenomenon and as an analytical category. In the first part of the article published in this issue, M.Ilyin, having briefly touched upon morphology as a special method of scientific analysis of reality, tries to answer the question of why people perceive as a phenomenon of the same order and use the same word “form” (or its analogues) to describe very dissimilar analytical tools; considers the ratio of different real political forms (plural) with an abstract political form (singular); and introduces a distinction between political form, political orders and political formulae. The first part of the article concludes with the review of the real forms, orders and formulae that existed before, exist now and are capable of existing through times and civilizational spaces of politics with the help of the scientific apparatus of evolutionary morphology.
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.