scholarly journals Particularities of forming regional innovation systems in the national economic space

2019 ◽  
Vol 110 ◽  
pp. 02036
Author(s):  
Zeyneb Adamanova ◽  
Safie Lukyanova ◽  
Lenar Safiullin ◽  
Olga Medvedeva

A modern economy requires building effective innovation systems. The formation of national and regional innovation systems should be closely linked. Therefore, it is necessary to deeply understand and take into account the peculiarities of the formation of regional systems in the national economic space. This is especially true for the Russian Federation due to the specificity of the administrative system and existence of significant disparities between the regions. Regional innovation systems are actively being developed, just as in more developed regions and less developed countries. Despite the country’s internal conditions, this should be a unified process. Therefore, it is particularly important for the issues of interregional cooperation to eliminate asymmetries and synchronise changes.

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.  


REGIONOLOGY ◽  
2019 ◽  
Vol 27 (3) ◽  
pp. 436-460
Author(s):  
Arthur M. Nosonov

Introduction. In the modern world, socio-economic and political leadership of a country is based on the generation of new knowledge, its commercialization and use in all areas of human activity, it being an important prerequisite for improving the competitiveness of the state. To achieve this goal, individual elements of the national innovation system including the main components of the innovation infrastructure are being formed in many constituent entities of the Russian Federation. Materials and Methods. The constituent entities of the Russian Federation are the object of the research, the qualitative and quantitative characteristics of the main components of the innovative productive and technological infrastructure being the subject of the study. A typology of Russia’s regions in terms of the development of their innovative productive and technological infrastructure was carried out. To calculate the integral index of the level of infrastructure development, linear scaling was applied; the number of different objects of productive and technological infrastructure in each region was used as the input indicator. Results. The types of the regions of Russia have been singled out according to the level of development of the productive and technological infrastructure and their brief description has been given. One and the same type includes territories having a similar structure and level of saturation with objects of productive and technological infrastructure which is manifested indirectly in the main results of the innovation activities of the regions. It has been revealed that more than half of the regions of Russia have a low level of development of the productive and technological infrastructure, a small number of regions are characterized by a high level of infrastructure development, in other constituent entities of the Russian Federation an average level of innovation infrastructure development has been noted. Discussion and Conclusion. The level of the innovative development of the regions of Russia largely depends on the degree of development of the productive and technological infrastructure. Further progress of the productive and technological component of the regional innovation systems is associated with the development of effective marketing mechanisms for the commercialization of innovations, with the improvement of the quality of education and its focus on the issues of innovation. The results of the research can be used by decision makers to substantiate the diversification of regional innovation systems in accordance with the priority directions of the technological development of the country.


2001 ◽  
Vol 16 (2) ◽  
pp. 103-122
Author(s):  
Philip McCready

A live issue currently in eonomic development relates to the importance of city-regional business environments for the growth and competitiveness of internet-related industries. Drawing on theories of regional innovation systems, this study evaluates the importance of place-related factors in the development of internet firms in two UK city-regions. The findings highlight the importance of demand economies, external networks, key local firms and individuals, and government research expenditure. Institutional arguments about local-regional systems are not drivers for growth, but play a more complex role in shaping knowledge and technological infrastructure.


Author(s):  
Nigel Culkin

Purpose – The growth in popularity of the regional innovation system approach has, in part, been driven by the need for economies to respond to the after shocks of the global financial crisis. At the same time, the author sees the term anchor institutions are used increasingly to describe organisations that have an important presence in the local community and make some strategic contribution to the local economy. The purpose of this paper is to consider the needs of the micro and small business (MSB) ecosystem through the lens of the entrepreneurial university as a regional anchor institution. Design/methodology/approach – Asheim et al. (2011) refers to regional innovation systems as, an emphasis on economic and social interaction between agents, spanning the public and private sectors to engender and diffuse innovation within regions embedded in wider national and global systems. According to Doloreux and Parto (2005) three dimensions underpin the use of the regional innovation systems concept, namely: the interactions between different actors in the innovation process, the role of institutions and the use of regional systems analysis to inform policy decisions. The author has drawn on contemporary literature on the entrepreneurial university, regional systems of innovation and institutions to explore some key qualities and problems around anchor Institutions, networks and national and local policy. Findings – Following the Chancellor’s Comprehensive Spending Review in November 2015 and post the changes in the Department of Business Innovation and Skills remit the author wants to highlight the way universities can take a lead role as an anchor institution within their region. The author argues that this role should include providing a wider range of formal and informal support, knowledge and resource for MSBs, alongside the usual SME suspects (Hart and Anyadike-Danes, 2014; Witty, 2013; Wilson, 2012). Based on my analysis and involvement in the the work of the eight Entrepreneurial Universities of the Year Award winners – during the author’s time as President of ISBE – He suggested four different ways in which collaboration might be enhanced to ensure MSBs make maximum use of the advice and support on offer from universities playing this anchor role. Originality/value – The results emerging from this work suggest a need for regional policy makers to embrace a innovation-supportive culture, which actually enables firms and systems to evolve over time would be far more effective than those proposed in the latest Comprehensive Spending Review. The outcomes of which will see some of the most robustly evaluated programmes, designed to support small firm growth, closed down and replaced by a commitment (by government) to secure a strong, growing economy, cutting of more red tape and extending small business rate relief for an extra year (Mole, 2015).


2021 ◽  
Vol 295 ◽  
pp. 01051
Author(s):  
Irina Dzyubenko

The innovative transformation is a necessary condition for sustainable economic development. The study reveals an assessment and comparative analysis of the Regional Innovation Systems’ (RIS) performance in the Russian Federation using Data Envelopment Analysis (DEA). The DEA model under the Variable Return to Scale (VRS) assumption, focused on output parameters, is used to estimate the relative technical efficiency of regions based on several input and output parameters. Based on the obtained results, a rating of regions was compiled: four groups of regions were identified depending on their technical efficiency level. It was revealed that the leading regions by innovative development level are assessed by the DEA somewhat differently. A comparative analysis of the innovation systems performance at the regional and federal levels allowed us to identify the most and least effective subjects of the Russian Federation, federal districts and economic regions. The main conclusion is that less than a third of the Russian regions use their production capabilities as efficient as possible, the remaining regions can significantly improve the way they use the available resources. The results of the study might be used in making managerial decisions at the country, federal districts and regions levels in order to develop measures and mechanisms for improving the efficiency of regional innovation systems.


2011 ◽  
Vol 12 (5) ◽  
pp. 231-254
Author(s):  
Mie Jung Kim ◽  
Chae,Dae-Seok

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