Computation of elasticity and scale effect in technical efficiency analysis of complex systems

Krivonozhko, Vladimir E.; Dvorkovich, Alexander V.; Utkin, Andrei B.; Zharkov, I. D.; Patrin, M. V.; Lychev, Andrey V.

doi:10.1007/s10598-007-0036-6

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…В России данный метод активно начал использоваться исследователями с начала 2000-х гг. [14][15][16][17]. В качестве русскоязычного эквивалента названия данного метода А.С.…”

Section: методология оценки производственной эффективностиunclassified

“…В качестве русскоязычного эквивалента названия данного метода А.С. Кривоножко предложил следующую формулировку: «метод анализа среды функционирования» (метод АСФ)» [15].…”

Section: методология оценки производственной эффективностиunclassified

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Model for Assessing the Efficiency of the Organizational and Technical System of Management of Municipal Finances

Erzhenin

2023

System Analysis &Amp; Mathematical Modeling

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Increasing the productivity of financial activity is one of the most relevant, but little studied areas in the modern theory of public administration. This study proposes a new concept that allows solving the problem of accumulation of inefficiency reserves in the form of an excessive number of specialists through the use of the DEA system methodology and the principles of the interdisciplinary science of service science. The basis of the proposed assessment model is based on the relationship between the population of the municipality (hereinafter - MO) and the size of the financial apparatus, identified as a result of the analysis of modern methods. The new evaluation model made it possible to obtain tabular and visual data on both effective management mechanisms and inefficient ones, i.e. having a reserve of inefficiency. For inefficient objects, objects-goals are indicated as a direction in the space of production possibilities of using information technology. The developed evaluation model can be used to evaluate the effectiveness of information systems of various management structures that have an extensive network of institutions and perform the same type of functional tasks.

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Section: методология оценки производственной эффективностиunclassified

Model for Assessing the Efficiency of the Organizational and Technical System of Management of Municipal Finances

Erzhenin

2023

System Analysis &Amp; Mathematical Modeling

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“…In order to eliminate the need to assign some values to the weighting coefficients in (10) with the help of expert assessments, it is possible to use an extension of the method based on the methodology of the data envelopment analysis (DEA) for socio-economic systems [49] and the Lagrange method, forming the objective function in the following form (when adding the harmony coefficient to the ratio, the corresponding term with the coefficient is added to the numerator):…”

Section: Formalization Of the Approachmentioning

confidence: 99%

Multi-Criteria Optimization as the Methodology of Ensuring Sustainable Development of Regions: Tula Region of the Russian Federation

Жуков¹,

Kozlova²,

Manokhin³

et al. 2023

IJSDP

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The effective ensure of sustainable development of regions, including the Tula region, characterized by an unfavorable demographic situation, the presence of environmental problems and stagnation of industrial production, without the use of economic and mathematical apparatus and tools for data analysis and decision-making is difficult to implement. At the same time, most decisions are made on the basis of expert assessments, and this is typical for most Russian regions. The development and implementation of modern decision-making methods based on multi-criteria optimization will increase the validity of such decisions at various levels of management, and which can be applied not only in the Tula region, but also in other regions to solve their problems. The purpose of the study is to develop and test a method for optimizing the results of the functioning of socio-ecological-economic systems on the example of the regions of the Central Federal District and the district as a whole on the basis of the author's methodology within the framework of a multi-level optimization approach. The results of the study show that due to changes in values of factors included in the optimization model of the socio-ecological-economic systems functioning, which was developed on the basis of the author's methodology. It is possible to improve the target indicators of the development of the Tula region. The presented methodology can be used for other regions, which expands the scope of its application.

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“…This widely used method continues to develop, which is especially true for its dynamic [5] and stochastic [6] applications. In Russian literature, the first studies into the use of DEA appeared at the turn of the 21 st century [7][8][9]. Particularly, the method was employed in comparative efficiency assessments [10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the efficiency of the research sector in Russian regions: a dynamic data envelopment analysis

et al. 2023

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The nonparametric method of dynamic data envelopment analysis (DDEA) has become increasingly popular for conducting comparative efficiency evaluations. In recent years, dynamic data envelopment analysis (DDEA), a variant of this method, has gained significant attention. This article applies dynamic analysis to evaluate the efficiency of the research sector in Russian regions. Traditional input variables such as the number of research staff and R&D expenditure are considered, while publication and patent metrics serve as output indicators. The analysis covers a substantial time period, spanning from 2009 to 2020. Notably, the proposed evaluation method incorporates publication quality measures as a carry-over variable, in addition to accumulated R&D expenditure. The study employs dynamic data envelopment analysis to compare the obtained results with previous evaluations of the research and technology sector in Russian regions. The findings demonstrate that the proposed method serves as a valuable ranking technique, enhancing existing evaluations of regions’ research and technology potential in terms of efficiency. The article concludes by discussing the prospects and limitations of the method in evaluating and forecasting research and technology profiles of regions.

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Computation of elasticity and scale effect in technical efficiency analysis of complex systems

Cited by 6 publications

References 10 publications

Model for Assessing the Efficiency of the Organizational and Technical System of Management of Municipal Finances

Model for Assessing the Efficiency of the Organizational and Technical System of Management of Municipal Finances

Multi-Criteria Optimization as the Methodology of Ensuring Sustainable Development of Regions: Tula Region of the Russian Federation

Evaluating the efficiency of the research sector in Russian regions: a dynamic data envelopment analysis

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