Investment and innovative technological efficiency: Case study of the Arctic project

Борисов, В. Н.; Почукаева, О. В.

doi:10.1134/s1075700717020022

Cited by 16 publications

(5 citation statements)

References 2 publications

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“…Thus, it is necessary to determine the vector = ( , , … , , … , ) − -the volume of requirements imposed by agents on the distributed resource [68][69][70][71][72]. The evaluation of the vector x is one of the most difficult and contested quantities in the problem.…”

Section: Resultsmentioning

confidence: 99%

“…Formation of the task for each type of resource requires a detailed analysis of the participants and characteristics of the resource. The chart shows eight axes according to the number of candidate countries based on the allocation of resources [69]. For each axis of the graph, the volumes allocated as a result of the division are postponed for each country of the resource.…”

Section: Resultsmentioning

confidence: 99%

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Modeling Competition between Countries in the Development of Arctic Resources

Konyukhovskiy

Holodkova

Titov³

2019

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The article is devoted to the approaches that can be applied in the distribution of Arctic resources between the main reference countries of this region. The objective economic nature of the problems that arise in this region makes it possible to characterize them as a competition of claims for a limited and potentially dynamically changing resource. At a formal level, this problem has a general nature and it is typical for many areas of modern economy. At the same time, it is impossible to deny its specifics, which imposes significant restrictions on possible methods of solution. In recent years, problems in the sphere of interstate cooperation under conditions of limited resources have significantly increased. In such a situation, scientific and practical research in the field of mechanisms for regulating the relations between the parties (economic entities) becomes interesting. In analyzing the mechanisms of distribution of limited resources, one can use the theory of cooperative games, mathematical models of resource rationing, as well as works on the study of problems of equitable distribution (s.c. Fair Divisions). In the framework of such tasks, the range of applicants for limited resources can be limited to countries or regions directly adjacent. The process can be include of “external players” who have sufficient investment potential. The subsequent development and analysis of the problems of regulating intercountry interaction are associated with mathematical formalization. Such formalization presupposes a description of the situation of competitive interaction between countries in the form of a stochastic cooperative game. An analysis of possible concepts for the solution of this game will lead to meaningful conclusions about specific schemes (mechanisms) of rationing.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Modeling Competition between Countries in the Development of Arctic Resources

Konyukhovskiy

Holodkova

Titov³

2019

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“…Another example is areas developed under the Arctic Development Program of the Russian Federation (Borisov and Pochukaeva, 2017). As a result, some industries and regions have been reported to be more productive than others, such as steel manufacturing, machine-building, and petroleum refining.…”

Section: Manufacturing Activitiesmentioning

confidence: 99%

Supply Chain Operations in the Arctic

Tsvetkova,

Timoshenko

2023

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This is an enthusiastic book that offers captivating insights into a multiplicity of supply chain management practices across various Arctic regions. It highlights the often-overlooked social implications, making it an important contribution to Arctic research. With its diverse collection of case studies, rigorous research, and thought-provoking content, it will undoubtedly be of great interest to scholars, practitioners, and policymakers."

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“…Egorov elaborated a method of integral assessment of the EEID level, based on the well-known Triple Helix model [10][11][12][13]. The formation of an effective innovation system is possible upon the achievement of simultaneous paired harmonic relations, of science with business, government with science, and government with business that builds up a special environment, a dimensional space of innovations promoting the creation and spread of innovations [20][21][22]. Ideally, it takes the shape of a cubic volume, but in real conditions of regional economic development this innovation space can take various shapes of a rectangular parallelepiped, depending on the degree of relations between the science and education complex (SEdC), industry, and government ( Figure 1).…”

Section: The Econometric Model To Assess the Level Of Eeidmentioning

confidence: 99%

The Assessment of Innovation Development in the Arctic Regions of Russia Based on the Triple Helix Model

et al. 2019

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This article presents the methodology and tools for the econometric analysis and assessment of the innovation development of the Russian Arctic regions, under the Triple Helix concept. The econometric calculations based on this methodology allow the express assessment of innovation development of a region and the contribution of the science and education complex (SEdC), industries, and the government, to the integral index of innovation development of this region, using minimum key statistical indicators in the field of science and innovation. The calculation results obtained using the author’s methodology show the adequacy of the express rating, with respect to the rating data obtained using other methodologies. The main advantage of the proposed methodology is the elimination of the human factors arising from the weighing coefficients and the results of the expert assessments used in the other rating methodologies The calculation results obtained using this methodology might be useful to the executive bodies of state authorities, business entities, and scientific and educational institutions, for an express assessment and for making various organizational and managerial decisions on innovation development in a region.

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Investment and innovative technological efficiency: Case study of the Arctic project

Cited by 16 publications

References 2 publications

Modeling Competition between Countries in the Development of Arctic Resources

Modeling Competition between Countries in the Development of Arctic Resources

Supply Chain Operations in the Arctic

The Assessment of Innovation Development in the Arctic Regions of Russia Based on the Triple Helix Model

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