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

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 m...

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Main Authors: Anna Firsova, Galina Chernyshova, Ryasimya Tugusheva
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/2/173
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author Anna Firsova
Galina Chernyshova
Ryasimya Tugusheva
author_facet Anna Firsova
Galina Chernyshova
Ryasimya Tugusheva
author_sort Anna Firsova
collection DOAJ
description 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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spelling doaj.art-eeefe147cd574d4aa37ebad4e590c8dc2023-11-23T14:33:27ZengMDPI AGMathematics2227-73902022-01-0110217310.3390/math10020173Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment AnalysisAnna Firsova0Galina Chernyshova1Ryasimya Tugusheva2Faculty of Economics, Saratov State University, 83, Astrakhanskaya Str., 410600 Saratov, RussiaFaculty of Computer Science and Information Technologies, Saratov State University, 83, Astrakhanskaya Str., 410600 Saratov, RussiaFaculty of Economics, Saratov State University, 83, Astrakhanskaya Str., 410600 Saratov, RussiaThe 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.https://www.mdpi.com/2227-7390/10/2/173data envelopment analysisMalmquist productivity indexefficiency assessingknowledge-intensive servicesregional development
spellingShingle Anna Firsova
Galina Chernyshova
Ryasimya Tugusheva
Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis
Mathematics
data envelopment analysis
Malmquist productivity index
efficiency assessing
knowledge-intensive services
regional development
title Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis
title_full Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis
title_fullStr Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis
title_full_unstemmed Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis
title_short Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis
title_sort approaches to efficiency assessing of regional knowledge intensive services sector development using data envelopment analysis
topic data envelopment analysis
Malmquist productivity index
efficiency assessing
knowledge-intensive services
regional development
url https://www.mdpi.com/2227-7390/10/2/173
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AT galinachernyshova approachestoefficiencyassessingofregionalknowledgeintensiveservicessectordevelopmentusingdataenvelopmentanalysis
AT ryasimyatugusheva approachestoefficiencyassessingofregionalknowledgeintensiveservicessectordevelopmentusingdataenvelopmentanalysis