Mathematical Models for Evaluation of the Higher Education System Functions with DEA Approach

Firsova, Аnna; Chernyshova, Galina

doi:10.18500/1816-9791-2019-19-3-351-362

Cited by 12 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other scholars have studied the relationship between regional differences and the efficiency of higher education. Firsova [27] verified the imbalance of higher education quality between different regions in Russia while Agasisti [28] explored the impact of higher education efficiency on the regional economy in Russia and found that high efficiency in higher education has a significant contribution to economic development.…”

Section: Performance Evaluation With Dea In International Heismentioning

confidence: 99%

Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA

2023

View full text Add to dashboard Cite

In recent years, the increasingly fierce competition among higher education institutions (HEIs), the finite resources, and the enormous influence of the COVID-19 epidemic on higher education have made it especially important to evaluate the performance of Chinese higher education institutions. This paper utilizes the DEA-BCC and Malmquist index to analyze the efficiency and productivity of 34 Chinese “985 Project” universities in the period 2017–2021. The indicator system includes three inputs and five outputs, contained in Model 1 and Model 2 for comparative analysis. The results demonstrate that the COVID-19 epidemic has had a considerable negative impact on Chinese higher education, and has induced the reduction of technical efficiency and productivity. Setting up online MOOCs is conducive to enhancing the efficiency and productivity of HEIs; in addition, the efficiency mentioned varies noticeably among different university levels, and there is no significant difference in different university types and geographical locations.

show abstract

Section: Performance Evaluation With Dea In International Heismentioning

confidence: 99%

Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA

2023

View full text Add to dashboard Cite

show abstract

“…To analyze the effectiveness of knowledge-intensive services, we propose using the DEA tool and the calculation of the Malmquist index. The application of the DEA methodology to the study of the efficiency of economic systems [42][43][44][45], innovative development and economic policies [46][47][48][49][50][51], and environmental management [52] has long been studied. An important issue discussed is the specificities of the DEA models with different sets of indicators that characterize certain aspects being studied.…”

Section: Theoretical Framework and Literature Reviewmentioning

confidence: 99%

Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis

2022

Self Cite

View full text Add to dashboard Cite

The sector of knowledge-intensive services is one of the fastest-growing sectors in the present-day economy of knowledge, which explains the scientific interest in developing methods of its quantitative assessment. The object of the research is the development of new approaches to the mathematical modeling of the efficiency of the regional knowledge-intensive services sector, based on a distance function approach to assess productivity changes. An approach was proposed to analyze the efficiency of this sector using data envelopment analysis and Malmquist productivity index and its components. The article presents the results of the assessment of indicators characterizing the development of knowledge-intensive services in education, innovation, and ICT obtained from 80 Russian regions for the period 2010–2020. To perform the analysis, the following input variables were used: volume of investments in fixed assets in ICT; share of personnel employed in the ICT; share of internal expenditures on R&D in GRP; the number of personnel engaged in R&D; share of innovative-active organizations and registered patents; funding for higher education institutions; and the number of higher education institutions graduated. Output variables were number of used advanced production technologies in the region; share of innovative goods, works, and services in GRP, and use of the intellectual property. As a result of applying the data envelopment analysis, Malmquist productivity index and its components, data were obtained on the positive dynamics of the development of the knowledge-intensive services sector in Russian regions and conclusions were drawn about the sector’s growth sources due to economies of scale.

show abstract

“…In this regard, in economic science and practice, a tendency has emerged to consider universities and system of higher education as full-fledged economic agents involved in economic and innovative national and regional development [5][6][7][8]. The significant role of the regional higher education system, affecting the innovative development of the regional socio-economic system, leads to the need of diagnosing the state of congruence and the relationship of these systems and searching for the most effective management tools.…”

Section: Introductionmentioning

confidence: 99%

Institutional Management Elaboration through Cognitive Modeling of the Balanced Sustainable Development of Regional Innovation Systems

Firsova

Makarova

Tugusheva

2020

Journal of Open Innovation: Technology, Market, and Complexity

Self Cite

View full text Add to dashboard Cite

The main aim of this research was to search for relevant indicators and effective instruments for modeling the impact and institutional management of the regional innovation system for its balanced development. The objective of the study was to justify approaches for institutional management elaboration for balanced sustainable development of regional innovation systems regarding related factors and the needs of the region. The methodology of cognitive modeling and scenario impulse modeling are used for the analysis of the interconnection between the regional innovation system and higher education institutions and developing an instrument to diagnose the problems of no-congruence and improving the institutional management elaboration in the regional innovation policy. The analysis of system indicators of the cognitive map allowed to define the basic patterns in the regional system, determine the most significant factors and relationships for the economic system of the region and visualize them in the form of a cognitive map, identify the influence of the innovation environment elements on the target indicators, quantify its positive and negative impact, forecast and determine the directions of its improvement and enhancing the interaction of regional actors. The results of the study have practical value for use in improving institutional management in planning reforms and transformations of regional innovation systems.

show abstract

Mathematical Models for Evaluation of the Higher Education System Functions with DEA Approach

Cited by 12 publications

References 8 publications

Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA

Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA

Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis

Institutional Management Elaboration through Cognitive Modeling of the Balanced Sustainable Development of Regional Innovation Systems

Contact Info

Product

Resources

About