DEA for Heterogeneous Samples
Data Envelopment Analysis is not very well applicable when a sample consists of firms operating under drastically different conditions. We offer a new method of efficiency estimation on heterogeneous samples based on a sequential exclusion of alternatives and standard DEA approach. We show a connection between efficiency scores obtained via standard DEA model and the ones obtained via our algorithm. We also illustrate our model by evaluating 28 Russian universities and compare the results obtained by two techniques.
DEA-analysis is performed based on publicly available data on 94 world largest fashion retailers. Standard clusterization of coefficients obtained from DEA-analysis gives clusters that are analyzed with respect to homogeneity and fit to the types of strategic behavior outlined in strategic management.
What is governmental effectiveness on the regional level? How can the study of regional effectiveness help us understand the performance of the political, social and economic systems of the state as a whole? These questions are very important from both the theoretical and applied perspectives, and the Russian Federation, with its huge and diverse territory, provides extremely rich material to answer them. Serious institutional reforms in the public sector have been implemented in recent years, and the results vary substantially from one region to another. So, in Russia, we can study how general attempts to make government more effective - guided by federal policies - produce particular regional effects, and, conversely, how regions implement federal policy differently. Both views tell us something important about overall governmental quality.
Governmental effectiveness, though in a broad sense one of the oldest issues in political science and philosophy, is currently enjoying a renaissance. The quantity of recent publications and even a special academic structure - The Quality of Government Institute in Sweden – illustrate the current interest. However, researching governmental effectiveness poses serious difficulties, on both the conceptual and instrumental levels. Despite (perhaps even because of) the variety of available theoretical frameworks, the essential core notions of governmental effectiveness and good governance remain murky. Furthermore, scholars disagree about what effectiveness and efficiency mean in a general sense. These issues obviously make it difficult to construct adequate measurement instruments.
The paper seeks to achieve three goals: 1) to review existing approaches and highlight their weak points; 2) to propose a theoretical framework for analyzing governmental effectiveness using appropriate estimation tools; and 3) to present empirical results based on data on public health care from Russia’s regions. Three patterns that ought to correlate - regional efficiency, how reform has been implemented and public opinion – are, instead, inconsistent with each other. Russia’s health-care sector today faces considerable problems with basic, systemic effectiveness.
In this paper, we discuss the methods of endowment management existing in the world and their applicability to the Russian university system. The endowment spending research focuses on the following issues: reinvesting endowment income; identifying the size of expendable endowment income; using the endowment body, not onlyincome; choosing endowment spending policy, rule and rate endowments, etc. We provide an overview of endowment fund financial indicators and endowment spending allocationin Russia. Based on the example of the HSE Endowment Fund, we analyze the use of endowment spending rulesand model of financial indicators for 2008–2014. The University’s Endowment Fund endowment spending policies implement the preservation principle, which may be reasonable in a stable economy. However, the viability of the principle is questionable in the crisis, the more so since the endowment is mostly in rubles. Using net asset valuation methods, the HSE Endowment Fund could provide equity betweengenerations with annual distribution of income in favor of the next and current generations.
The article performs a comparative analysis of the efficiency of G20, BRICS and NIC member countries’ participation in global value chains (GVC) taking into account economic growth, investment activity, global competitiveness and productivity in the period from 2000 to 2009. Efficiency is evaluated by means of the method of data envelopment analysis under constant and variable returns of scale assumptions. The comparison of the efficiency of developed and developing countries participation in GVCs is made, the leaders and outsiders in using the GVCs’ potential are revealed. For the latter the target values of the input and output parameters allowing to reach the efficiency frontier are indicated.
In recent decades, increased economic pressure and growing societal expectations have led to the introduction of performance-based funding models for universities. In this respect, a great scholarly attention has paid to how to evaluate universities performance correctly. This allows national governments to design and apply various taxonomies to facilitate the development of efficient programmes for the advancement of higher education. The wide spread approach used for that purpose is DEA. This paper provides a review of different approaches how to take into account universities heterogeneity when applying DEA to construct the typologies of university by showing statistically their similarities and differences. The authors use the modified DEA proposed by Aleskerov & Petrushchenko (2013) to evaluate performance scores of Russian technical universities. This proposed typology divides universities into specific groups with a description taking into account their heterogeneity.