Autonomy, performance and efficiency: and empirical analysis of Russian universities in 2014-2018
Initially proposed by Charnes, Cooper and Rhodes as a method for comparative efficiency assessment, Data Envelopment Analysis (DEA) eventually got an alternative use. Researchers suggested ways to use it to group (cluster) objects not by the level of their efficiency, but by other parameters, which, from the computational point of view, were secondary results of applying DEA determining the mode used by the object to gain efficiency. The need for such an approach is dictated by two research objectives in strategic management, requiring clustering companies as objects of analysis. First, as companies follow different lines of behavior, finding stable patterns of their actions, and explaining and predicting their behavior is possible only when companies are broken into homogeneous groups. Second, comparative assessment of companies’ success is also possible only within homogeneous groups, because changes in such indicators as unit costs, market share, sales per employee and other similar measures may be assessed quite differently depending on whether the company in question is aspiring to gain the wide market through cost leadership or is following an alternative pathway. Authors undertake a comparative analysis of the two approaches to clustering production facilities based on DEA results. Po, Guh and Yang suggested combining in the same cluster objects with the same production function, when isoquants are determined by the production probability area. Alternative methods based on application of standard clustering procedures to DEA results have been proposed by Kao and Hung, and later by Volkova, Filinov, Titova, Kuskova, Gorny and Nikolaeva. Theoretical analysis and computational experiments show that both approaches (based on finding the edges of the production probability area and based on application of standard clustering procedures to DEA results) yield similar results under certain circumstances but differ in the opportunities offered to the researcher in substantive interpreting of the groups created and performing alternative calculations with the changing number of clusters (groups).
Time series of US patents per million inhabitants show cyclic structures which can be attributed to the different knowledge-generating paradigms that drive innovation systems. The changes in the slopes between the waves can be used to indicate efficiencies in the generation of knowledge. When knowledge-generating systems are associated with idem innovation systems, the efficiency of the latter can be modeled in terms of interactions among dimensions (for example, in terms of university–industry–government relations). The resulting model predicts an increase in efficiency with an increasing number of dimensions due to the effects of self-organization among them. The dynamics of the knowledge-generating cycles can be analyzed in terms of Fibonacci numbers; successive cycles are expected to exhibit shorter life cycles than previous ones. This perspective enables us to forecast the expected dates of future paradigm changes.
This article provides the assessment of the impact of the buyer company’s financial position on the M&A effectiveness on the base of the pharmaceutical industry. We have estimated this correlation using OLS method and data for the period from 2005 to 2017. As a result, the hypothesis about the dependence of the M&A efficiency from the buyer company’s financial state has been confirmed. The developed econometric model have showed that more than 80% of variation of the cumulative abnormal return, received as a result of the transaction, is explained by growth rates of revenues and net profit, assets, current liquidity, autonomy and financial leverage, return of sales and assets at the transaction time.
In this exploratory study, we examined several interethnic ideologies held by individuals (assimilation, colorblindness, multiculturalism, and polyculturalism) from a social ecological perspective. We examined moderation effects of neighborhood ethnic density (ED) on relationships between interethnic ideologies and intergroup bias towards various minority ethnic groups in the Russian context. Intergroup bias was assessed as a composite score of bias toward four ethnic groups who have different cultural distances from the Russian mainstream population: Chechens, Belarusians, Uzbeks, and Chinese. We obtained a gender balanced sample of ethnic Russians from the Central Federal District of Russia (N = 359) comprising of 47% women and 53% men. The measures were used in a Russian translation by an adaptation using the back-translation and cognitive interviews. Multiple regression analysis was used to test the relationships. The results showed that high perceived neighborhood non-Russian ED weakened negative relations between intergroup bias and ideologies that purportedly accept cultural diversity (multiculturalism and polyculturalism). On the other hand, for interethnic ideologies those purportedly reject cultural diversity, high perceived neighborhood non-Russian ED weakened the positive relations between intergroup bias and assimilation and strengthened the negative relations between intergroup bias and colorblindness. The pattern of results suggests that the relationship between attitudes and intergroup bias may change based on the perceived ethnic composition of the local area and frequency of contacts. Although our findings are relatively novel they support the emerging view that attitudes and intergroup relations need to be studied from a social ecological context.
The scientific periodical journal "Power and Elites" has been published since 2014. The current Volume 6, Issue 2 is devoted to the issues of political integration, the recruitment of elites, career paths, elites in the space of discourse and symbolic, problems of morality in politics.
During the 14th and 15th October 2017, a conference organized by Ben Eklof (Indiana University), Igor Fedyukin (Higher School of Economics (Moscow), Tatiana Saburova (Higher School of Economics, Indiana University), Elena Vishlenkova (Higher School of Economics, Moscow) has been held at the Indiana University Europe Gateway at CIEE Global Institute (Berlin) with the aim to discuss new narratives about the history of Russian education, aroused by James C. Scott’s books, Seeking like a State. How Certain Schemes to Improve the Human Condition Have Failed (1998), in particular on the basis of the concept of “high modernism” in its effort to redesign society and of the role of knowledge in the context of social and economic changes.
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.