Analysis of efficiency of regional innovation systems taking into account the financing structure

Firsova, Аnna; Chernyshova, Galina

doi:10.2991/cssdre-18.2018.86

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…The increasing popularity of the use of constructing instruments of an integral index for evaluation economic objects is caused by the obvious need of stakeholders (business, population, regional and municipal authorities, investors and others) [9] in comparable information on the level of effectiveness of the analyzed economic subsystem.…”

Section: The Methodology Of the Studymentioning

confidence: 99%

Methods of Rating the Effectiveness of Cultural Institutions in the Territorial Context

Malshina¹,

Chernyshova²,

Firsova³

2021

Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)

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The article implements the main tasks: development ranking of the regions in the sphere of the cultural industry and Russian regions rating creation to estimate the degree of integration and effectiveness of the cultural industry development in every region; developing of new estimates of the activities of the cultural industry and mathematical instruments for evaluating its comparative effectiveness (index number creating); developing of criteria, integrated indices, instruments, indices and application algorithm; development of a regional classification methodology, creation of a development ranking map of Russian regions in the sphere of the cultural industry and Russian regions rating creation. To evaluate the index of effectiveness, an undirected variable-scale model is proposed, which allows both a reduction in inputs and an increase in outputs for an ineffective DMU to achieve an efficient frontier. It is proposed to use a method based on information entropy to construct an aggregated index. Evaluation criteria were chosen in such a way as to comprehensively reflect the resources available to cultural institutions and to characterize the targeted results of activities according to their structural characteristics, to have comparable quantitative values, to be available in official sources. As a part of the proposed approach, the regional assessment of the cultural industry at the first level is carried out in three directions (theaters, museums, concert organizations and independent groups). The data for 78 regions of the Russian Federation were normalized and brought to a unified scale. As a result of obtaining a numeric evaluation of the integrated index of the effectiveness of the cultural industry, it is possible to classify Russian regions by allocating several groups. The task of visualization of the obtained results is solved by constructing a map of Russian regions ranking in terms of cultural institutions effectiveness. The author's method can be used by regional authorities in evaluating and planning the socio-economic development of the region and the development of the regional economy as well as in making managerial decisions in the sphere of cultural management.

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Section: The Methodology Of the Studymentioning

confidence: 99%

Methods of Rating the Effectiveness of Cultural Institutions in the Territorial Context

Malshina¹,

Chernyshova²,

Firsova³

2021

Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)

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“…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

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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.

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“…In foreign and domestic research, considerable experience has been accumulated in the use of various specifications of DEA models in assessing the education effectiveness, there are a lot of intercountry comparisons of the university effectiveness, various aspects of the university effectiveness according to different input and output indicators are assessed, there are qualitative conclusions about factors that influence university effectiveness [4][5][6][7].…”

Section: Theoretical Analysismentioning

confidence: 99%

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

Firsova¹,

Chernyshova²

2019

MMI

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The purpose of this research is to develop the Data Envelopment Analysis (DEA) methodology for modeling of the assessment of the regional higher education systems effectiveness. The importance and topicality of this study is based on the increasing role of universities in the economic development of regions and countries in recent decades as well as the need to develop approaches for assessing the university effectiveness, and using mathematical models and methods for these goals. The novelty of the research is the formation of the DEA model and its application to the analysis of regional higher education systems' effectiveness. The hypothesis of uneven development of regional higher education systems was tested from the standpoint of functional approach; the higher education systems' effectiveness has been calculated and the ranking of Russian regions was performed by different DEA models. As a result of the DEA modeling, a quantitative effectiveness assessment was carried out, and a set of Russian regions was ranked according to three basic university functions: education, science, and regional partnership. Conclusions about the level of effectiveness and development strategy of regional higher education systems in Russia have been drawn.

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Analysis of efficiency of regional innovation systems taking into account the financing structure

Cited by 8 publications

References 11 publications

Methods of Rating the Effectiveness of Cultural Institutions in the Territorial Context

Methods of Rating the Effectiveness of Cultural Institutions in the Territorial Context

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

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

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