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in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources.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.

scholarly journals Identification of Czech Metropolitan Regions: How to improve targeting of innovation policy

2016 ◽  
Vol 62 (1) ◽  
pp. 46-55
Author(s):  
Viktorie Klímová ◽  
Vladimír Žítek
Keyword(s):  
Cluster Analysis ◽  
Innovation Policy ◽  
Analytical Framework ◽  
Innovation Systems ◽  
Capital City ◽  
Regional Innovation Systems ◽  
Patent Activity ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
High Level

Abstract Concepts of national and regional innovation systems can serve as an analytical framework forming the empirical base for innovation policy creation. It is possible to distinguish various types of these systems. One of these typologies is based on the assessment of innovation deficiencies. There are three types of regions: metropolitan, peripheral, and old industrial. Metropolitan regions can be characterized by a high level of research, innovation, and patent activity. The aims of this paper are to find relevant indicators that can be used as the basis for defining metropolitan regional innovation systems and using them for the identification of Czech metropolitan regions. The results of the point method combined with the cluster analysis showed that the capital city, Prague, as well as the South Moravian, Pardubice, Central Bohemian, Pilsen, and Liberec Regions can be defined as metropolitan regions.

scholarly journals In pursuit of an innovation development trajectory of the Kaliningrad region

Baltic Region ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 92-106
Author(s):  
Anna A. Mikhaylova
Keyword(s):  
Life Cycle ◽  
Innovation Policy ◽  
National Policy ◽  
Innovation System ◽  
Innovation Systems ◽  
Soviet Period ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Kaliningrad Region ◽  
Framework Conditions

Amid growing inter-state competition, national innovation policies are increasingly seeking to promote the development of regional innovation systems to intensify innovative processes and to enhance the economic competitiveness of territories. An efficient regional innovation policy requires a territorial adaptive approach to the development of mechanisms for innovating socio-spatial systems. These mechanisms should take into account the specific features and inalienable resources of territories. Whereas regional innovation systems are becoming increasingly acknowledged in public administration as versatile, the stage of a system life cycle, which is an equally important factor, often escapes managerial attention. In this article, I analyse the innovation system of the Kaliningrad region at its inception. The Kaliningrad case is of considerable interest for a study into the patterns and characteristics of the governance of innovation systems — a management paradigm aimed to promote regional development during a change in their functioning mode. In this work, I analyse the current structure of the Kaliningrad regional innovation system, of which some elements date back to the Soviet period, paying particular attention to the subsequent change in the framework conditions. I show that a new innovation trajectory requires taking into account the economic and geographical position of the region, its level of socio-economic development and economic specialization. My findings could contribute to both improving the national policy on managing innovation processes in Russian regions and developing the concept of regional innovation systems as regards research into their life cycle stages.

scholarly journals Technologies for the Development of Methods for Evaluating an Innovative System

2019 ◽  
Vol 8 (3) ◽  
pp. 5083-5091
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Federal District ◽  
Innovation Systems ◽  
Theory And Practice ◽  
Innovative Development ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Development Activity ◽  
Assessment Results

The purpose of this work is to develop proposals for improving the methodology for assessing the innovative development of the socio-economic system of Russian regions based on the achievements of international theory and practice in this field of research. To accomplish the task, the authors considered both conceptual and empirical approaches to the assessment of regional innovation systems in modern conditions of development. The article presents a new structure of the integral innovation index of the regions of Russia based on a critical review of the results of well-known scientific research and approaches that are used by leading development institutions. The authors have proposed the grouping of primary indicators into subindexes, reflecting the potential, conditions for development, activity and effectiveness of the innovation system of the region. The calculation of the value of the final integral index is carried out by taking into account the weights of the subindexes, while the study presents theoretical and practical developments that largely shift the emphasis on the effectiveness and efficiency of innovation activities. Special attention is paid to the interpretation of assessment results. Based on the range of possible values it was proposed to group regions by the identified types of innovation systems. The authors have tested the developed method on the example of the subjects of the Central Federal District of Russia, the results of which are illustrated by the innovation map of the regions. Based on the clustering of assessment results, a typology of regional innovation systems has been developed reflecting their heterogeneity. The work substantiates the need for a differentiated innovation policy for different types of regions, taking into account the complex of identified barriers and weaknesses. This will allow to level the obstacles to regional innovation and industrial growth. Thus, we are talking about the need to form a “smart strategy” of the region’s innovative development.

scholarly journals Propuesta de un Método para la Aplicación de un Modelo de Simulación Basada en Agentes del Sistema Regional de Innovación

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
E Embuz ◽  
J D Fernández-Ledesma
Keyword(s):  
Simulation Model ◽  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation System ◽  
Regional Innovation Systems ◽  
Research Groups ◽  
Regional Innovation ◽  
Regional Systems ◽  
Project Analysis ◽  
Los Grupos

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.  

Israel

2010 ◽  
pp. 272-280
Author(s):  
Edna Pasher ◽  
Sigal Shachar
Keyword(s):  
Intellectual Capital ◽  
Best Practice ◽  
Success Factors ◽  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Information Communication ◽  
Regional Innovation ◽  
Knowledge Based ◽  
Critical Success

This chapter focuses on knowledge based development in regions, based on Israel’s experience. Israel, a small country in the Middle East, is a very unique case of a knowledge based region. The authors have extensively studied Israel as an innovative region in different contexts. Since 1998 they published three Israel Intellectual Capital Reports for the Israeli Government. During 2007 the authors led a study for the European Commission focused on regional innovation systems. This study has aimed to measure the effectiveness of participation in ICT (Information Communication Technology) EU projects on the EU innovation system at the regional level. Israel was selected as a regional best practice though it is a nation state and not a region since it is as small as a region, and since the authors had good relevant data from the previous IC reports and since Israel is consistently recognized as one of the most innovative countries in the world. The authors discovered that an Intellectual Capital audit is a powerful and useful framework to understand the effectiveness of regional innovation systems, offering the possibility for evidence-based future policies rather than retrospective performance analyses. This chapter demonstrates the case of Israel as a knowledge-based region, as well as critical success factors for regional innovation systems.

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.

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.

R&D Centre Growth Based on Regional Innovation System

2011 ◽  
pp. 9-17
Author(s):  
Jingyuan Zhao
Keyword(s):  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation System ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Development Models ◽  
The World ◽  
Relationship Of ◽  
The Relationship

The chapter focuses on comparing and analyzing the development models of typical regional innovation systems in the world, discussing the relationship of regional innovation system and R&D centre growth, and points out that the emergence of R&D centre and growth are tight relative with the development of regional innovation system. Through researching on typical cases of India’s Banglore, Singapore and Taiwan’s Xinzhu, the paper summarizes the experience that establishing and perfecting regional innovation system will improve R&D centre growth. Using the experience for reference, some strategies to promote R&D centre are put forward as conclusions.

Sign in / Sign up

Export Citation Format

Share Document