Applying the Cobb-Douglas Production Function for Analysing the Region’s Industry

Суворов, Н. В.; Akhunov, R. R.; Губарев, Р. В.; Dzyuba, Evgeniy; Fayzullin, Fanil

doi:10.17059/2020-1-14

Cited by 19 publications

(2 citation statements)

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“…The most important characteristic of such enterprises is the production function, which describes the influence of fixed assets, labor resources, the level of scientific and technological development and other factors on the dynamics of output volume. A detailed description of the principles for constructing production functions, including the Cobb-Douglas type used in this work is presented in [25,26]. There are also examples of constructing multiplicative production functions that take into account the influence of wages on output, as a factor that significantly affects the productivity of labor resources (e.g., [27]).…”

Section: Model Of Behavior Of Enterprise Agentsmentioning

confidence: 99%

Agent-based modeling and optimization of the characteristics for research-and-production clusters

Beklaryan

2024

Bus. Inform.

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This paper presents a developed agent-based simulation model for the development of research-and-production clusters in Russia implemented with the use of high-tech enterprises located in four science cities (Troitsk, Obninsk, Pushchino and Protvino) as the case study. A new approach to modeling and optimization of gross metropolitan product (GMP) is proposed, taking into account the influence of the “gravity effect” on the redistribution of labor resources between developing science cities and appropriate enterprises united in single research and research-and-production clusters An important element of this approach is the formation of various scenarios for the strategic development of the research-and-production clusters being assessed and support for the possibility of choosing the most preferable scenario using an evolutionary optimization algorithm. An enlarged simulation model has been developed and implemented in AnyLogic describing the possible development trajectories of science cities with a corresponding change in the values of the most important characteristics: the number of economically active population, the number of research-and-production enterprises, the volume of products produced in high-tech sectors of the economy, GMP, etc. The designed framework is intended primarily for the management of research-and-production clusters implementing the strategy of innovative development. Such a framework uses methods of system dynamics and agent-based simulation modeling supported in the AnyLogic system, genetic optimization algorithms and GIS mapping for science cities, etc. to implement the required functionality. The approbation of the framework was completed with the use of real data published in the approved strategies of the relevant science cities development. As a result of the numerical experiments carried out, some recommendations were proposed for the development of the research-and-production clusters under study considering their mutual influence and the existing base of resources.

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Section: Model Of Behavior Of Enterprise Agentsmentioning

confidence: 99%

Agent-based modeling and optimization of the characteristics for research-and-production clusters

Beklaryan

2024

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“…The standard production function and its modifications from the standpoint of revealing the economic potential of a socio-territorial entity have earned attention in many works (Kirilyuk, 2013;Vaseyskaya & Glukhov, 2019). Among them, a scientific paper devoted to the analysis of industrial availabilities in a region based upon the said function (Suvorov et al, 2020), the model of which was built by the authors for the Rep. of Bashkortostan (2006Bashkortostan ( -2016, is of particular interest. As a result, they made a judgment about its inadequacy in the case of using static parameters of dependent and independent variables, since the economic interpretation of the character in front of the labor elasticity coefficient, which turned out to be negative, is not valid.…”

Section: Literature Reviewmentioning

confidence: 99%

Blockchain Technology Innovation: An Investigation of the Accounting and Auditing Use-Cases

2021

Proceedings of the European Conference on Innovation and Entrepreneurship 2021

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academic-conferences.org/policies/ethics-policy-for-publishing-in-the-conference-proceedings-ofacademic-conferences-and-publishing-international-limited/ Self-Archiving and Paper Repositories We actively encourage authors of papers in ACIL conference proceedings and journals to upload their published papers to university repositories and research bodies such as ResearchGate and Academic.edu. Full reference to the original publication should be provided. Conference ProceedingsThe Conference Proceedings is a book published with an ISBN and ISSN. The proceedings have been submitted to a number of accreditation, citation and indexing bodies including Thomson ISI Web of Science and Elsevier Scopus.

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Dependence Between Investment and Economic Development of Russian Regions: Copula Approach

Shiryaeva

2020

Lecture Notes in Networks and Systems

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Applying the Cobb-Douglas Production Function for Analysing the Region’s Industry

Cited by 19 publications

References 0 publications

Agent-based modeling and optimization of the characteristics for research-and-production clusters

Agent-based modeling and optimization of the characteristics for research-and-production clusters

Blockchain Technology Innovation: An Investigation of the Accounting and Auditing Use-Cases

Dependence Between Investment and Economic Development of Russian Regions: Copula Approach

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