INNOVATIVE POTENTIAL OF YOUTH AS A FACTOR OF DEVELOPMENT OF THE REGIONAL INNOVATION SYSTEM (by the example of the Ulyanovsk region)

Author(s):  
Marina I. Kadnichanskaya ◽  
◽  
Elena P. Galkina ◽  
2020 ◽  
pp. 46-54
Author(s):  
Serhii Glibko

Problem statement. The current state of the economy and the factors that contribute to development, require the search for possible options for building or restoring economic ties at the regional levels, will be the impetus for the economic formation of OTG. But these issues require mandatory reflection in the program documents of the regions and regulations of the state. The purpose of the study. The work is aimed at identifying elements of innovative infrastructure and system, the potential of which can be used to restore the innovative economy of the region and establish areas of economic and legal regulation of the task. Object of study. The scientific study of the structure of the regional innovation system of the Donetsk region was carried out taking into account the principles of transparency, accessibility, completeness, and objectivity of information about the participants of the regional innovation system. Presentation of the main material. The specifics of the regional economy in the Donetsk region require special attention and the use of unconventional methods of detecting them. The study uses some systems analysis approaches related to parts of the system and its purpose. The Law of Ukraine “On Innovative Activity” of 04.07.2002 No. 40-IV does not contain the concept of innovative potential, but defines that one of the basic principles of state innovation policy is the creation of conditions for the preservation, development and use of domestic scientific, technical and innovative potential. Moreover, the very formation of the competitive potential of the Donetsk region is one of the most intense powers, the realisation of this visit is due to the establishment and the disarming of competitive passes, in addition to the basis of the innovative innovation and the unbaked investment of the region of privbliy. It was established that behind the results of the analising of the participants of the regional and innovative systems of the Donetsk region, a table was stored. To report on the illegality of the strategic planning in regulatory legal acts the development of innovative structures, the infrastructure and the reform of the enterprise, which is the competence of the business bodies of ownership in this area. compass the provisions of the development of the innovative and innovative systems in the Donetsk region. Conclusions. Analyzing the above, we can draw the following conclusions: firstly, territorially, the participants are located in the regional centre of Kramatorsk as a whole, as well as in such large industrial cities as Bakhmut, Mariupol, Pokrovsk. The importance of creating and promoting the development of innovative infrastructure by local authorities will contribute to the effective development and productivity of the formation of a regional innovation system in the Donetsk region.


2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.


2021 ◽  
Vol 16 (4) ◽  
pp. 694
Author(s):  
Jasmina Berbegal Mirabent ◽  
Dolors Gil Doménech ◽  
Carolina Senent Bailach

2009 ◽  
Vol 84 (3) ◽  
pp. 649-667 ◽  
Author(s):  
Irene Ramos-Vielba ◽  
Manuel Fernández-Esquinas ◽  
Elena Espinosa-de-los-Monteros

2015 ◽  
Vol 13 (4) ◽  
pp. 57-62
Author(s):  
Tatyana N Bessonova

Abstract: When forming the regional innovation system, everyone should take into account specific conditions and the possibility to develop regional economic complexes. Modern development of oil and gas producing region implies an increase in cooperation between all participants of the innovation process. The most promising organizational form of such an association in Khanty-Mansiysk Autonomous Okrug - Yugra is Yugra Technopolis. It aims to strengthen the interaction of research and industrial sectors, to improve the commercialization of scientific research results


Author(s):  
E Embuz ◽  
J D Fernández-Ledesma

Este artículo propone un método que permite aplicar de forma práctica, precisa y efectiva un Modelo de Simulación Basado en Agentes del Sistema Regional de Innovación (SRI), el cual ha sido desarrollado dentro del Proyecto “Análisis de la Estructura, relaciones y dinámicas de agentes de los Sistemas Regionales de Innovación” liderado por los Grupos de Investigación GISAI y GTI pertenecientes a la Universidad Pontificia Bolivariana sede Medellín. Esta propuesta de método está centrada en una revisión de las necesidades más relevantes de los Sistemas Regionales de Innovación y cómo éstas deben ser suplidas paso a paso a través de la estructura del Modelo de Simulación en su aplicación. AbstractThis paper describes a method of applying a simulation model based on Agents of Regional Innovation System (SRI), which has beendeveloped within the project "Analysis of the structure, relationships and dynamics of agents of the Regional Systems described innovation"led by GISAI Research Groups and belonging to the Universidad Pontificia Bolivariana in Medellín GTI. This proposed method is focusedon a review of the most important needs of the Regional Innovation Systems and how they should be met step by step through the structure of the simulation model in its application.  


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