How Do The Characteristics Of The Environment Influence University Efficiency? Evidence From A Conditional Efficiency Approach
Высшая школа экономики , 2020. No. 238.
Egorov A., Agasisti T., Serebrennikov P.
This paper explores the black box behind efficiency measurements in higher education and define the determinants of university efficiency. Particularly, it investigates how the efficiency of universities is affected by the characteristics of the territory in which they operate. We propose an analysis that combines two perspectives: 1) the resource dependence theory, suggesting that the location of university can determine the amount of resources available to it; 2) institutional isomorphism, according to which the characteristics of other higher education institutions located in the same area may shape the university production function and the efficiency of its operations. In order to test this framework we use the data on Russian universities and non-parametric conditional order-m efficiency estimator with two categories of exogenous variables. The first group includes the social, economic and cultural characteristics of the region where the university is located. The second set includes the characteristics of other higher education institutions located in the same region. Our findings highlight that the managerial efficiency of universities is strongly associated with the characteristics of the environment in which they operate
Universities’ efficiency and the socioeconomic characteristics of their environment — Evidence from an empirical analysis
, , , Socio-Economic Planning Sciences 2023 Vol. 85 P. 1-12
This paper investigates how the efficiency of universities is affected by the characteristics of the territory in which they operate. The theoretical framework combines two perspectives: (1) the resource dependence theory, suggesting that the location of university can determine the amount of resources available to it; (2) institutional isomorphism, according to which the characteristics of ...
Added: October 28, 2022
, , Вестник Тюменского государственного университета. Социально-экономические и правовые исследования 2018 Т. 4 № 3 С. 213-230
Nowadays the question of interregional comparison in case of innovation development and identification of causes of differentiation between the Russian regions in this aspect has very high priority. The section devoted to publication activity is one of the crucial parts of different innovation ratings and scoreboards. Publication activity is very significant factor which prepares ground ...
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, , Economy of Region 2021 Vol. 17 No. 1 P. 223-234
Universities play a crucial role in local economies, providing educational services and participating in research and development. This is particularly important for Russia where regions are highly differentiated in terms of both socio-economic development and technological progress and innovations. However, many regional universities in Russia have traditionally focused primarily on teaching, with less emphasis on ...
Added: October 1, 2020
Оценка эффективности компаний, управляющих пенсионными накоплениями на основе метода DEA (Data Envelopment Analysis)
, , et al., Корпоративные финансы 2017 Т. 11 № 3 С. 34-44
This paper features a non-parametric DEA method and its practical applications for the efficiency estimation of the Rus-sian companies managing pension funds. Theoretical aspects of the five DEA models are studied, including: the constant returns to scale model (CRS); increasing, decreasing and varying returns to scale (DRS, IRS and VRS), and the free dis-posal hull ...
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Динамика совокупной факторной производительности и ее компонентов на примере российской отрасли, производящей пластмассовые изделия
, Прикладная эконометрика 2015 Т. 38 № 2 С. 21-40
In this paper we research changes of total factor productivity (TFP) and its components in Russian plastic production sector in 2006–2012 by using DEA. We decompose TFP change into technical change, technical efficiency, scale efficiency, and mix efficiency changes. The dynamics of TFP and its components are slightly different for various quantile groups of firms. ...
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, Пространственная экономика 2020 Т. 16 № 3 С. 109-138
Scientific activity is one of the widely recognized sources of economic growth. Moreover, in today's environment, scientific activity is increasingly concentrated in universities. However, government measures taken to stimulate science in Russian universities in the 2000s and 2010s and their consequences are difficult to interpret unambiguously, either positively or negatively. On the one hand, government ...
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, Известия Саратовского университета. Новая серия. Серия: Экономика. Управление. Право 2014 Т. 14 № 3 С. 479-488
Introduction. The rising role of universities in regional development in Russia determines the importance of research able to assess universities’ impact and influence on territory’s development. Theoretical analysis. Due to complex functions of modern HEIs and diversified socio-economic environment universities turned to address wider needs of social development then it was defined previously by the ...
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, , , Economics of Innovation and New Technology 2018 Vol. 27 No. 5-6 P. 510-530
The article highlights the challenges of benchmarking the science, technology and innovation (STI) policy mix between countries. A benchmarking concept is developed to compare policies across countries, which takes account of country structural features, the way policies are embedded in the national STI policy context and the country’s development stage. We focus on policies aiming ...
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, Foresight and STI Governance 2019 Vol. 13 No. 4 P. 48-59
Institutions play a key role in building entrepreneurial ecosystems (EEs). However, the academic literature does not well represent the historical roots of these institutions and most works are devoted to developed countries. This article examines the institutional conditions for the development of scientific and entrepreneurial activities at universities in the context of the transition to ...
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, , Scientometrics 2019 Vol. 120 No. 2 P. 375-404
The main aim of this study is to compare Russian regions according to their ability to create new technologies efficiently and to identify factors that determine these differences over a long period of time. We apply data envelopment analysis (DEA) to assess the relationship between the results of patenting and resources of a regional innovation ...
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, , Journal of Intellectual Capital 2021 Vol. 22 No. 1 P. 8-23
Purpose Universities have become both increasingly entrepreneurial and international over the past few decades. We still, however, know little about the relationship between the two trends. This paper investigates the effect of international exposure of university faculty members on university entrepreneurial culture. Design/methodology/approach Using a specially constructed dataset of the entrepreneurial activities of 507 computer science faculty members—among ...
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, , Journal of Higher Education Policy and Management 2023 Vol. 45 No. 5 P. 545-565
This paper explores how internal characteristics of universities that reflect the structure of the budget and the makeup of the student body and academic staff influence the efficiency level of universities. We analyse a sample of 320 Russian public higher education institutions using the modern nonparametric methodology of an order-m conditional efficiency estimator. Our results ...
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Do merger policies increase universities’ efficiency? Evidence from a fuzzy regression discontinuity design
, , , Applied Economics 2021 Vol. 53 No. 2 P. 185-204
This paper focuses on the effect of merger policies in Russia on universities’ efficiency. We consider one particular policy of non-voluntary mergers conducted by the Ministry of education based on universities’ performance indicators. In a first stage, efficiency scores of universities are estimated using a bootstrapped DEA non-parametric technique. The efficiency scores were evaluated for ...
Added: September 7, 2020
, / Высшая школа экономики. Series WP BRP "Science, Technology and Innovation". 2013. No. 16/STI/2013.
Available in SSRN: https://ssrn.com/abstract=2304735 The paper reviews the application of the data envelopment analysis (DEA) method for measuring the efficiency of national innovation systems (NIS). The paper firstly visualizes the logic of DEA method and briefly summarizes the key advantages and main limitations of the DEA method. Further, this paper provides a comprehensive review of 11 empirical ...
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, , , Journal of Regulatory Economics 2019
In 2015 the Russian energy regulator adopted guidelines to determine the baseline level of operating costs for electricity grid companies based on a combined index model. The regulator intends to use the results directly in the regulatory process for setting tariffs The main purpose of the study is to analyse the new system of benchmarking, developed ...
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, , Foresight and STI Governance 2021 Vol. 15 No. 1 P. 31-38
The motives behind merger and acquisitions (M&A) are often linked with the opportunities to obtain knowledge and technologies in order to enhance the competitive advantages of companies. In particular, the acquisition of digital technologies through mergers and acquisitions with ICT companies is especially relevant. However, the efficiency of such deals is often low and calls ...
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The article analyzes the effects of introducing the institute of ranking into the higher education system. The function of ratings is to remedy market failures, to create incentives for competition, and for the efficient choice of education institution by customers. However, the research of the last decade dealing with the influence of ratings on the ...
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, , / National Research University Higher School of Economics. Series WP BRP "Basic research program". 2016. No. 128.
In this paper we estimate the impact of R&D expenditures on the total factor productivity (TFP) and technical efficiency of two panels of countries in the period 1990-2011. We obtain TFP decomposition estimates using one- and two-step Stochastic Frontier Analysis (SFA) and a modified (O’Donnell, 2008) Data Envelopment Analysis (DEA) framework. Our estimates of TFP ...
Added: June 20, 2016
, , , Энергия: экономика, техника, экология 2012 № 5 С. 37-39
The article discusses the potential role of Russia in global carbon markets, prospects and opportunities for national businesses in greenhouse gas emission reduction ...
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, , Экономика и управление: проблемы, решения 2016 Т. 2 № 8 С. 247-252
Под эгидой Гильдии финансовых аналитиков и риск-менеджеров и Русского общества управления рисками разработан новый профессиональный стандарт «Специалист по управлению финансовыми рисками», который предназначен для оценки квалификации риск-менеджеров. В статье описываются предпосылки создания и краткое содержание стандарта с целью его популяризации. ...
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, , , Foresight 2017 Vol. 19 No. 5 P. 511-527
Purpose This study aims to assess future prospects for Russian energy exports until 2040, as global energy markets are undergoing major changes, with possible impacts on Russia. Design/methodology/approach Qualitative and quantitative approaches are integrated under a proposed foresight framework. The qualitative method involves an expert survey aimed at identifying major energy trends and their influence on ...
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A Binary Model versus Discriminant Analysis Relating to Corporate Bankruptcies: The Case of Russian Construction Industry
, , Journal of Accounting, Finance and Economics 2013 Vol. 3 No. 1 P. 65-76
The last market crash of 2008-2009 showed that the construction sphere is one of the most fragile subject to the crisis effect. The destructive effect of this crash resulted in substantial decrease in mortgage lending, price index, capital investment, and in growth of the cost level. As the construction industry remains strategically important, the eruption ...
Added: September 5, 2013