(Approaches to the Assessment of Efficient Operation of Innovation Infrastructure Venues in Russia)

Баринова, Вера; Maltseva, Anna; Sorokina, Alla; Eremkin, Vladimir

doi:10.2139/ssrn.2456174

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Russian studies have covered such issues as: the formation of innovative infrastructure in regions with low innovation potential [18], the assessment of the effectiveness of innovative activity of subjects of innovation infrastructure [19,24], the current state of innovation infrastructure in the regions and in Russia as a whole [20,21,22], the influence of infrastructure objects on innovative activity of regions [23].…”

Section: Literature Reviewmentioning

confidence: 99%

Innovative Infrastructure in Depressed Regions

Karanina¹,

Palkina²

2019

Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2018)

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The problem of development of depressive regions is extremely urgent in modern conditions. It is explained by the fact that due to unfavorable development factors in these regions, it is most difficult to ensure economic and social growth, to carry out infrastructure development, to attract external financing and investments. Depressive regions tend to have a low level of competitiveness and a prolonged economic decline in industrial production, accompanied by an increase in unemployment. The development of such regions is impossible without external intervention. Specialists in the regional economy have described indicators of such regions. They are: the rate of change in industrial production, the level of unemployment, the size of the gross regional product per capita, the industrial output per capita. It is necessary to attract investment in the economy of depressed regions in order to bring their economies to the stage of sustainable growth. It is possible due to the development of the innovation sphere. A key element of the innovative sphere of any region is its innovative infrastructure. In this connection, the analysis of the state and the definition of promising areas for the development of the innovation infrastructure of the "depressed" regions is an urgent and significant scientific task.The article analyzes the existing state of the innovation infrastructure of ten constituent entities of the Russian Federation, which are considered to be "depressive".The authors use the method of understanding factual data, the index method, the method of comparisons and the method of expert evaluations.According to the obtained results, the authors have defined the most promising directions for the development of the innovation infrastructure for these regions.

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Section: Literature Reviewmentioning

confidence: 99%

Innovative Infrastructure in Depressed Regions

Karanina¹,

Palkina²

2019

Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2018)

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“…Regression analysis, methods of solution of the given problems, optimal evaluation methodology of experimental data together is a new information technology model of decision-making under uncertainty conditions. The general picture of that issue can be given as follows [10,11]:…”

Section: Establishment Of General Mathematical Model Of Innovative Prmentioning

confidence: 99%

“…Then the final score for each index and technopark is calculated. Impact (weight) ratios of the indices chosen as a result of expert assessment are evaluated as follows: 1) Significance and scale index (SCA) -0,05, 2) Infrastructure and information provision index (INF) -0,06, 3) Affordable business environment index (BEI) -0,10, 4) Index of investment and financial resources and material and technical resources (IMR) -0,13, 5) Innovative potential, activity and environment index (IPA) -0,18, 6) Human resources and qualified personnel training index (HRP) -0,08, 7) Index of scientific research, experimental development and innovative projects (SRI) -0,12, 8) Index of innovation products and services (IPS) -0, 11,9) Index of effective management and creative outcomes (EMC) -0,09, 10) Index of socialecological development (SED) -0,08.…”

Section: In Scientific Innovative Technoparksmentioning

confidence: 99%

Application of Mathematical Methods and Models in Product - Service Manufacturing Processes in Scientific Innovative Technoparks

Aliyev¹,

Shahverdiyeva²

2018

IJMSC

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The article focuses on the application of mathematical methods and models in product -service manufacturing processes in scientific innovative technoparks. The necessity of applying economic-mathematical models and methods in the activity of innovative structures is substantiated. A system of indicators and criteria for assessing the performance and effective management of technoparks has been developed. Based on this system, an information model of the technopark was proposed. A mathematical model of the general management of technoparks is proposed. An econometric model for the innovative product-service manufacturing has been developed. The technique of comparative evaluation of innovative technology parks based on a system of composite indicators and a composite index is proposed. As a result of the experimental implementation of these methods and models, the activity of technoparks. prepared. In this direction "The Strategic Roadmap for National Economy and the main sectors of economy" was prepared also in Azerbaijan by the end of 2016 [1]. 12 strategic roadmaps approved for national economy and 11 sectors of economy in general are prepared. These roadmaps are increasing the competitiveness, inclusiveness and social welfare of the economy.Strategic roadmaps include strategy of economic development and action plan for 2016-2020 years, longterm vision for the period up to 2025 and target vision for the post-2025 period. Targeted vision of the SRM (strategic roadmap) for the post-2025 period will provide wide opportunities, expansion of access to quality education, the basis of transition to efficiency and innovation-based economy. The competitive labor force being the main driven force of the economy, regulation of labor market, application of high technologies, including smart machines and systems is the transition of economy from the efficiency-based model to the innovation-based model.The impact of innovative technologies on the development of new emerging economic fields, automated knowledge creation process, "internet control", remote control technologies, artificial intelligence and robotization, adaptation of management to the requirements of advanced technologies (bio, nano, information, communication, industry, finance, etc.) will be implemented.On the national economy perspective within the framework of SRM to ensure macroeconomic stability on the basis of effective management, to improve the structure of the economy, to increase employment, to provide balanced regional development, improve the business environment and strengthen the participation of the private sector is planned. The main objective of SRM on development of telecommunication and information technologies, which is one of the 11 sectors of SRM, is the effective functioning of the public sector in the country, improving the level of socio-economic life of the population, development and improvement of ICT infrastructure for health, education, finance, and digitization of the economy in general, increasing the potential of ICT industry o...

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“…A mathematical model that solves the problem of selecting the optimal decision for technopark is given here. The general mathematical description of this problem is illustrated in [10,11,16]. Methods based on criteria normalization can be used for the solution of this issue.…”

Section: Review Of Multifactor Regression Models For the Manufacturinmentioning

confidence: 99%

General Principles for Modeling the Manufacturing Processes of Innovative Products in Technoparks

Aliyev¹,

Shahverdiyeva²

2018

JPIS

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(Approaches to the Assessment of Efficient Operation of Innovation Infrastructure Venues in Russia)

Cited by 5 publications

References 11 publications

Innovative Infrastructure in Depressed Regions

Innovative Infrastructure in Depressed Regions

Application of Mathematical Methods and Models in Product - Service Manufacturing Processes in Scientific Innovative Technoparks

General Principles for Modeling the Manufacturing Processes of Innovative Products in Technoparks

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