scholarly journals Policy capacities for new regional industrial path development – The case of new media and biogas in southern Sweden

2016 ◽  
Vol 35 (3) ◽  
pp. 518-536 ◽  
Author(s):  
Hanna Martin ◽  
Roman Martin

Over the past few years, a growing body of work in economic geography and innovation studies has enhanced our understanding of forms and determinants of regional industrial path development. The importance of policy, however, has received limited attention and accordingly, the role of policy for the emergence and development of new regional industrial growth paths remains largely unexplored. This paper takes an institutional perspective and suggests that the regional innovation system approach can contribute to conceptualising and analysing the role of policy for new regional industrial path development. We argue that in order to turn regional preconditions into new growth paths, regional innovation systems require strong policy capacities, consisting of formal and governance capacities. In the empirical part, we analyse the emergence and further development of two new growth paths in the region of Scania in southern Sweden, namely biogas and new media. Based on personal interviews with policy makers, representatives from knowledge and supporting organisations and firms as well as a document analysis, we investigate how policy interventions have influenced the rise and evolution of these two industries. We show that in both cases, policy-led initiatives have played an important role in enabling new path development. We find that policy can play multiple roles in nurturing and maintaining new growth paths and that these are closely interlinked with particular policy capacities of regional innovation systems.

2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi

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.


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.  


Author(s):  
V. Pchelintsev

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.


Author(s):  
Edna Pasher ◽  
Sigal Shachar

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.


Author(s):  
M. Yu. Afanasiev ◽  
M. A. Lysenkova

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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