Social Topography for Sustainable Innovation Policy: Putting Institutions, Social Networks and Cognitive Frames in Their Place

2018 ◽  
Vol 17 (1) ◽  
pp. 100-127
Author(s):  
Dolores Modic ◽  
Borut Rončević
Keyword(s):  
Social Networks ◽  
Innovation Policy ◽  
Innovation System ◽  
Social Forces ◽  
Social Force ◽  
Regional Innovation ◽  
Balanced Development ◽  
Cognitive Frames ◽  
Context Specific ◽  
The Impact

AbstractBuilding upon social fields theory, the authors analyze the impact of the three social forces – institutions, social networks and cognitive frames – on the social topography of regional innovation systems. Unlike previous studies, which focused on individual social force, the authors’ fuzzy-set comparative analysis of fifteen diverse regions from four continents reveals nuanced impact of individual forces and shows that a well-functioning regional innovation system is the outcome of their combined influence. This implies a need for a coherent, reflexive, context-specific and multi-level innovation policy that supports the balanced development of an institutional framework, encourages the formation of social networks and enables supportive cognitive frames.

The impact of innovation on the polarization of the region's territorial structure

2020 ◽  
Vol 8 (8) ◽  
pp. 1496-1509
Author(s):  
V.I. Tikhii ◽  
O.V. Koreva
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Balanced Development ◽  
Regional Innovation Policy ◽  
Territorial Structure ◽  
The Impact ◽  
Regions Of Russia ◽  
Large Deposits

Subject. This article examines the issues of asymmetrical development of the areas. Objectives. The article aims to study the impact of innovation-driven development on polarization processes in the region. Methods. For the study, we used a comparative analysis. Results. The article justifies the need to form an effective regional innovation policy aimed at reducing the spatial unevenness of the areas. Conclusions. Since many regions of Russia do not have large deposits of actively developed minerals, the innovation factor can become a driver of regional development. The formation of a regional innovation system will contribute to a more balanced development of the territorial structure.

scholarly journals Regional Innovation Systems in Poland: How to classify them?

2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Weighted Average ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
Industrial Enterprises ◽  
Innovation Potential ◽  
And Performance

The literature emphasises the role of regional and local innovation environment. Regional Innovation Systems show differences in innovation outputs determined by different inputs. Understanding these relationships can have important implications for regional and innovation policy. The research aims to classify Regional Innovation Systems in Poland according to their innovation capacity and performance. The analysis covers 72 subregions (classified as NUTS 3 in the Nomenclature of Territorial Units for Statistics) in 2004–2016. Classes of Regional Innovation Systems in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources. It was assumed that innovation systems in Poland differ due to their location in metropolitan and non-metropolitan regions, thus, the Eurostat NUTS 3 metro/non-metro typology was applied for this purpose. Panel data regressions as models with individual random effects were estimated separately for metropolitan and non-metropolitan groups of subregions. The study identified common determinants of innovation outputs in both NUTS 3 types: share of innovative industrial enterprises, industry share, unemployment rate, and employment in research and development. Next, NUTS 3 were classified within each of two analysed types in line with output- and input-indices, the latter being calculated as non-weighted average of significant inputs. Last, the subregions were clustered based on individual inputs to enable a more detailed assessment of their innovation potential. The cluster analysis using k-means method with maximum cluster distance was applied. The results showed that the composition of the classes identified within metropolitan and non-metropolitan systems in 2004– 2016 remains unstable, similarly to the composition of clusters identified by inputs. The latter confirms the changes in components of the capacity within both Regional Innovation System types. The observed situation allows us to assume that Regional Innovation Systems in Poland are evolving. In further research, the efficiency of Regional Innovation Systems should be assessed, taking into account the differences between metropolitan and non-metropolitan regions as well as other environmental factors that may determine the efficiency of innovative processes.

Regional Innovation Systems: Finland’s Experience

2012 ◽  
pp. 51-63
Author(s):  
V. Pchelintsev
Keyword(s):  
Systems Approach ◽  
Innovation Policy ◽  
Regional Scale ◽  
Innovation System ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Non Local ◽  
Innovation Policies

The paper examines governmental strategies, main actors and instruments of innovation policies shaping innovation-driven economy in Finland, with particular attention to the regional scale. The analysis focuses on how the regional innovation systems approach became a framework for the design of innovation policies. An innovation system involves cooperation between firms and knowledge creating and diffusing organizations, – such as universities, colleges, training organizations, R&D-institutes, technology transfer agencies. Innovations are considered as interactive learning process. Cooperation and interaction between regional/local and national/international actors is necessary to combine both local and non-local knowledge, skills and competences. The key elements of the policy environment, as well as implementation of the main regional innovation policy instruments – the Centers of Expertise Programme and Regional Centre Programme – are described.

An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway

2019 ◽  
Vol 7 (2) ◽  
pp. 99-114 ◽  
Author(s):  
Yun Zhao ◽  
Chongren Bi
Keyword(s):  
Simulation Model ◽  
Labor Migration ◽  
Migration Rate ◽  
High Speed ◽  
Innovation System ◽  
Knowledge Spillover ◽  
Regional Innovation ◽  
High Speed Railway ◽  
Knowledge Innovation ◽  
The Impact

Abstract The calculation for the influence of high-speed railway on knowledge spillover is based on the results of global instantaneous equilibrium in the mechanism explanation of knowledge spillover. In real production, the interaction between the high-speed railway and the regional innovation system is dynamic and local. In order to simulate the impact of high-speed railway on innovation activities in the time dimension, it is necessary to simulate scenarios under appropriate parameter assumptions. Based on the interaction of economic participants, a discrete evolutionary simulation model is established, which is helpful to predict and estimate the evolution of spatial effect of high-speed railway according to the theory of cellular automata. It is concluded that high-speed railway accelerates the formation of knowledge innovation industry cluster in the region in the process of regional knowledge innovation and evolution. Under the influence of high-speed railway, the node city will gradually evolve into a regional innovation center. By comparing the production evolution of knowledge innovation system with and without high-speed railway, the results show that high-speed railway has a more significant impact on knowledge spillover in higher knowledge privatization environment. Under the background of low labor migration rate, high-speed railway has increased the potential of regional innovation to external knowledge spillover. In the case of higher labor migration rate, the convergence rate of influence of high-speed railway on the concentration of innovation is faster.

Problems of formation of the regional innovative system of the Donetsk region

2020 ◽  
pp. 46-54
Author(s):  
Serhii Glibko
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Legal Regulation ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
State Of The Economy ◽  
Innovative Potential ◽  
Object Of Study ◽  
Economic Formation ◽  
Effective Development

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.

Performing ambiguous policy: How innovation events simultaneously perform change and collaborative order

2019 ◽  
Vol 68 (6) ◽  
pp. 1403-1419
Author(s):  
Erika Andersson Cederholm ◽  
Patrik Hall
Keyword(s):  
Innovation Policy ◽  
Social Process ◽  
Innovation System ◽  
Innovation Systems ◽  
Political Order ◽  
Regional Innovation ◽  
Stability And Change ◽  
The Public ◽  
Social Forms ◽  
Meeting Models

The aim of this article is to analyse how innovation policy is staged and legitimised through the dramatised social process of an event. The context is taken from an annual event, Skåne Innovation Week, which is arranged by the regional innovation system in Skåne, Sweden. Innovation systems often organise similar events internationally, which appear to play a key role in performing inter-organisational collaboration between actors from the public sector, industry and research, as well as manifesting belief in the globalised imaginaries of innovation systems. Through the analytical lens of the event as a social drama, the article examines how the event – and thus, innovation policy – is represented in commemorative films and website documents through which three meeting practices are identified: mingling and hanging out, scripted meeting models and spatial staging. The article argues that these meeting practices and their performed interactive social forms sustain the vagueness and ambiguity inherent in innovation policy, particularly between stability and change. The event can be viewed as a form of performative government that maintains a political order while simultaneously hailing its practices as transformative.

Inbound Tourism as a Driving Force for Regional Innovation: A Spatial Impact Study on China

2018 ◽  
Vol 58 (4) ◽  
pp. 594-607 ◽  
Author(s):  
Jingjing Liu ◽  
Peter Nijkamp
Keyword(s):  
Driving Force ◽  
Social Innovation ◽  
Innovation System ◽  
Regional Innovation ◽  
Spatial Panel ◽  
Inbound Tourism ◽  
Spatial Panel Data ◽  
The Impact ◽  
Tourism Flows ◽  
The Empirical Analysis

Cross-border flows of people, capital, and information along with inbound tourism flows can act as an important vehicle that benefits the innovation system in tourism destination areas. This study addresses the unintended but far-reaching impact of international tourism by focusing on the influence of inbound tourism on regional innovation in China. Data from 30 Chinese provinces for the years 2003–2012 are used for the empirical analysis, employing a spatial panel data model. The results show that inbound tourism may be a new and powerful driving force for regional innovation, while the effect of inbound tourism on technological innovation appears to be weaker than that on social innovation. Our findings also show that a higher market percentage of domestic tourism may weaken the impact of inbound tourism. Furthermore, the impact of inbound tourism on innovation tends to be relatively stronger in the richer and more internationally oriented provinces of China.

Questioning the implementation of smart specialisation: Regional innovation policy and semi-autonomous regions

2017 ◽  
Vol 36 (3) ◽  
pp. 530-547 ◽  
Author(s):  
Rhiannon Pugh
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Regional Innovation ◽  
Diverse Range ◽  
Border Regions ◽  
Regional Innovation Policy ◽  
Smart Specialisation ◽  
Recent Developments ◽  
The Uk

This paper considers the recent developments in regional innovation policy pertaining to the smart specialisation agenda from the perspective of a peripheral and semi-autonomous region – Wales in the UK. Through a case study of innovation policy developments in Wales over the past 20 years, and also a consideration of extant literature pertaining to regional innovation policy and smart specialisation, this paper finds a number of issues or shortcomings in the current predominant smart specialisation approach. These are traced back to the strong regional innovation system logic existing in European policy; a number of unresolved theoretical problems that could undermine the efficacy of innovation policy are identified. Both conceptual and rhetorical issues with the concept of the region are highlighted, and questions are asked about the applicability and tenability of smart specialisation approaches in semi-autonomous, cross-border regions, and for policymakers operating in circumstances of multi-level governance. This paper illustrates how such regions provide us with a lens or alternative perspective through which to reconsider our predominant theoretical and practical policy approaches, and highlights a number of potential problems with smart specialisation as it is applied in a diverse range of regional settings.

scholarly journals Approach to the analysis and comparison of national innovation systems on the example of Russia and other countries

2019 ◽  
Vol 81 (1) ◽  
pp. 434-442 ◽  
Author(s):  
M. Yu. Afanasiev ◽  
M. A. Lysenkova
Keyword(s):  
Innovation System ◽  
Innovation Systems ◽  
Innovation Activity ◽  
Econometric Modeling ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Country Comparison ◽  
China And Japan ◽  
Innovation Space ◽  
The Impact

Currently, there is a tendency to evaluate the innovation system at the national level. Qualitative inter-country comparison requires quantitative and qualitative assessment of the factors influencing the innovation activity of the region. The purpose of this work was to justify quantitatively the impact of science and business on the innovation activity of the region. International patent applications are selected as an indicator reflecting the result of innovation activity in the region. Statistical hypothesis testing is carried out in this paper. The dependence between the results of innovation activity and innovation space of the region is confirmed by the methods of econometric modeling. The innovation space of the region is described in the work as a set of potential links between business and organizations that create new knowledge. The study used the official statistics of the regions of such countries as Russia, Switzerland, USA, China and Japan. Estimates of parameters of national and regional innovation systems of the Russian Federation, Switzerland, the USA, China and Japan are received by methods of econometric modeling. It is shown that the assessment of elasticity and technical efficiency of the innovation space of the region indicate the development of the innovation system. In the considered time range it is established that the Pareto-optimality property is possessed by the parameters of innovation systems of Japan, China and Switzerland. Estimates of the technical efficiency of the innovation space for a total of 190 regions according to 2012, a comparative analysis of the countries on the basis of the estimates. The paper provides a rationale for the use of parametric descriptions of national and regional innovation systems. This description can be used for cross-country comparison of the impact of science and business on the results of innovation activity, clustering of national innovation systems.

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