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DEA analysis of the efficiency of the single-industry city's economy

Vazhdaev A.N. Yurga Institute of Technology, Branch of National Research Tomsk Polytechnic University, Yurga, Kemerovo Oblast, Russian Federation ( )

Mitsel' A.A. Tomsk State University of Control Systems and Radioelectronics (TUSUR), Tomsk, Russian Federation ( )

Journal: Regional Economics: Theory and Pactice, #12, 2017

Importance This article discusses the issues of analysis of the effectiveness of various branches of small business economy in a single-industry town.
Objectives The article aims to analyze the effectiveness of various small business sectors' development based on correlation data between the city indicators and the aggregated small business ones.
Methods The Data Envelopment Analysis (DEA) method was used to analyze the performance of different small business sectors on a per-industry basis. The research applies a DEA output-oriented model. To successfully solve the analysis task, the source data has been modified in such a way that the link between input and output is directly proportional, as required in the DEA model.
Results The results obtained made it possible to visualize the changes in the performance of the considered sectors of urban economy during the survey period.
Conclusions and Relevance The analysis suggests that it is possible to apply the DEA method together with the modification of the survey data, both in the primary economic analysis and in the ongoing monitoring of the performance of individual industries. The described method of DEA performance analysis can encourage small businesses to develop an optimal strategy for their own development in the city's economy.

Mathematical model trajectory movement of investment projects

Micel A.A. doctor of the technical sciences, professor of chair the automated control systems, Tomsk State University of Control Systems and Radioelectronics ( )

Vazhdaev A.N. candidate of technical sciences, major lecturer of chair the information systems, Yurga Institute of Technology of National Research Tomsk Polytechnic University ( )

Journal: Economic Analysis: Theory and Practice, #40, 2010

In the article the new mathematical model, which makes it possible to track the trajectories of the motion of the interacting investment projects of the within the framework one enterprise of small business, is proposed. The trajectory prediction of the motion of investment projects with the use of the created model makes it possible to see the tendencies of the motion of the projects of the enterprise of small business.

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