Инструментарий статистического анализа научной и инновационной деятельности российских вузов
The paper illustrates capabilities of a new statistical tool developed for comprehensive in-depth quantitative analysis of research and innovation activity of Russian higher education institutions (HEIs). The results of such analysis are applicable for planning, coordination, and control of addressed public polices in S&T and innovation. The novelty of the approach and its implications to official statistics is explained by critical review of existing standard statistical tools for monitoring HEI potential and activities. The review is followed by detailed description of new methodology. The main part of the paper provides descriptive statistics based on the experimental tool as well as conclusions on application of these results for more in-depth analysis and for policy advise to Russian S&T and innovation policy-makers.
One of the current trends of the Russian Higher Education is strengthening participation of HEIs in global higher education. The increasing number of approaches to universities rankings reflects this trend. International and Russian rankings draw close attention and criticism from academic and expert community. Despite the criticism, rankings outcomes are in demand and influence universities’ promotion and their positioning in the global higher education area. Contemporary Russian rankings systems are diverse and strive to satisfy needs of various stakeholders. However, all these approaches are single dimensional rankings that use a composite indicator and weight coefficients. The presented article describes development of a multidimensional ranking system in Russia. This work has been done in the framework of the project “Developing and Approbating a Template Methodology for National Ranking of Higher Education Institutions” implemented by NTF (2011 – 2013). The authors demonstrate deficiency of league tables; prove relevancy of a chosen approach as it considers complexity and differentiation of the Russian Higher Education system, its current modernization, missions and diversity of the Russian HEIs. Drawn on the project outcomes, the authors present development of the national multidimensional ranking methodology: its concept, choice of indicators, the approbation outcomes, dilemmas and decisions.
The paper covers the issues of accountability of higher education institutions (HEIs) in five countries: Brazil, Canada, Italy, Portugal, and Russia1 . National frameworks and their implementation are examined. The special focus of the review is performance-based evaluation and funding. The reflection on outcomes is followed by the recommendations to policy-makers, researchers and practitioners. This paper was commissioned by the Global Education Monitoring Report as background information to assist in drafting the 2017/8 GEM Report, Accountability in education: Meeting our commitments. It has not been edited by the team. The views and opinions expressed in this paper are those of the author(s) and should not be attributed to the Global Education Monitoring Report or to UNESCO. The papers can be cited with the following reference: “Paper commissioned for the 2017/8 Global Education Monitoring Report, Accountability in education: Meeting our commitments”.
This paper analyses the link between the efficiency of regional higher education systems and the rates of regional economic development between 2012 and 2015 in Russia. The efficiency scores are calculated at the institutional level using Two-stage Semi-parametric data envelopment analysis. Then, the scores are aggregated at the regional level. We formulate an economic growth model that considers the efficiency of regional higher education systems as one of the explanatory variables. As an econometric method, we employ a robust GMM estimator. The findings highlight a positive, and statistically significant effect of higher education institutions efficiency on the regional economic growth. We also found negative spillover effects.
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.
Recently there have been widely spread models (classifications) of educational institutions (schools) based upon regularly collected statistical data and a presupposition that all the standard indices incorporated in those models have the same meanings concerning to every possible school. The article questions this presupposition.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.