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

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 173
Author(s):  
Anna Firsova ◽  
Galina Chernyshova ◽  
Ryasimya Tugusheva

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.

2019 ◽  
Vol 70 (3) ◽  
pp. 287-298 ◽  
Author(s):  
Jože Kropivšek ◽  
Matej Jošt ◽  
Petra Grošelj ◽  
Darko Motik ◽  
Andreja Pirc Barčić ◽  
...  

The wood industry, as a traditional sector, represents a very important part of the economy in terms of ensuring a sustainable development of society and transition to a low-carbon society in both countries studied, Slovenia and Croatia. For its further development, it is crucial to know the current position of the industry. The best way to achieve this is an analysis of financial data and international comparative evaluation of its operational efficiency. The aim of the research is to compare the relative efficiency of the wood industry using Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MI), focusing on the Slovenian and Croatian wood industry sectors (C16 and C31) for a recent five-year period (from 2013-2017). With this purpose, the combined measure DEA/MI was applied. The analysis includes only the highest rated companies with more than fi ve employees, divided into 12 clusters regarding the company size. As a result, it was established that clusters CRO-C31- micro, CRO-C16-micro and SI-C16-larger have the highest operational efficiency, due to the effects of different financial indicators, especially activity and liquidity ratios. In general, within the grouped clusters regarding country and subsector, groups SI-C16 and CRO-C31 achieve the highest values for the average of weighted score of efficiency, while CRO-C16 achieves the lowest values.


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.


Author(s):  
Nhu-Ty Nguyen

Any study of the development of the economy must take into account the role of the electricity sector. This is the sector promoting production, improving competitiveness, and attracting investment. With the motto "electricity goes one step ahead," the power sector has contributed to the restructuring of the industry, economic recovery and growth, security and defense. Specifically, agriculture, forestry and fishery production activities of rural and mountainous areas have been oriented toward commodity and export markets. Improved services and quality of electricity have encouraged domestic and foreign businesses to be comfortable and expand their production. This study will provide some insights after combining the results of Data Envelopment Analysis and Grey System Theory – GM(1,1). Using Data Envelopment Analysis, the researcher input some performance attributes, classify them as inputs and outputs, and then use them for Data Envelopment Analysis researches. For evaluating this industry, the researcher used Malmquist Productivity Index from 2012 to 2016 and used GM (1,1) for forecasting, which provides better “Past – Present – Future” insights for decision makers.


2018 ◽  
Vol 3 (3) ◽  
pp. 69-82 ◽  
Author(s):  
Selvia Rustyani ◽  
Suherman Rosyidi

This study aims to measure the level of efficiency and productivity of zakat institutions in Indonesia.Quantitative research using the methods of Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MPI). There are six Amil Zakat (LAZ) institutions in Indonesia, namely Yayasan Dana SosialAl-Falah (YDSF), Al-Azhar Peduli Ummat, Aksi Cepat Tanggap (ACT), Yayasan Rumah Yatim Arrohman Indonesia,Pos Kemanusiaan Peduli Ummat (PKPU), and Rumah Zakat Indonesia, with 2014–2016 annual data as the number of DMUs (decision making units). This study uses an intermediation approach in determining the variables.The input variables of this research are Collected Funds (X1), Total Costs (X2), and Amil Acceptance (X3), while the Output variables are Funds Distributed (Y1) and Total Assets (Y2).There were two LAZs that experienced inefficiencies in 2014 and 2015, namely LAZ YDSF and ACT. Meanwhile, in 2016, all LAZs achieved optimal levels of efficiency. The results of the MPI analysis show that in the first year two LAZs experienced a decline in productivity, namely LAZ Al-Azhar and PKPU. The other four LAZs sawan increase in productivity, namely LAZ YDSF, ACT, Rumah Yatim, and Rumah Zakat. In the second year, three LAZsexperienced a rise in productivity, namely LAZ Al-Azhar, PKPU, and Rumah Zakat, while the other three LAZs experienced a decrease in productivity, namely LAZ YDSF, ACT, and Rumah Yatim.


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