scholarly journals Knowledge Economy and Regional Innovation Policy Milieu

2014 ◽  
Vol 11 ◽  
pp. 614-620 ◽  
Author(s):  
Maria Patrizia Vittoria ◽  
Pasquale Persico

The emergence of the knowledge economy has resulted in a new definition of regional policy milieu. Under the current EU policy framework the concepts of region and city are the result of an inductive, exploratory cognitive process. Interpreting, assessing and designing successful territorial milieux constitute a methodological challenge for analysts. This paper discusses the methodological capacity of a hybrid theoretical approach to discovery and design of smart specialization. Analysis of strategic network formation (why the network takes a particular form) demonstrates the competitive positioning of specific homogeneous communities within the global value chain and can be considered central to the regional policy milieu. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabella normale"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}

Economies ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 48 ◽  
Author(s):  
Mona Roman ◽  
Henry Varga ◽  
Vladimir Cvijanovic ◽  
Alasdair Reid

Prior research has emphasized the importance of bringing together quadruple helix (QH) actors (academia, industry, government and civil society) to strengthen regional innovation. The QH model forms an integral part of European innovation policy, which aims to create sustainable and inclusive growth in Europe. As part of this policy, European Union (EU) regions are to design and implement research and innovation strategies for smart specialization (RIS3) through the participatory entrepreneurial discovery process (EDP). Despite the strong emphasis on the QH model, the model is still far from a well-established concept in innovation research and policy, and civil society participation in RIS3 has remained low. Our paper aims to support regional governments to engage with and facilitate the participation of civil society in a territorial EDP based on two case studies from Finland and Sweden. It contributes to the literature on regional innovation systems through identifying mechanisms to foster the QH model and suggests lessons learnt for the operationalization of the QH model as part of RIS3.


2020 ◽  
Vol 18 (4) ◽  
pp. 247-263
Author(s):  
Alla Ivashchenko ◽  
Anna Kornyliuk ◽  
Yevheniia Polishchuk ◽  
Tetiana Romanchenko ◽  
Iryna Reshetnikova

Regional development is related to the effective management of disruptive industries on the local level. In the European Union, the innovation regional development policy is based on a smart specialization strategy, which neighboring countries try to apply as well. In their regional strategies, they notice the goals which are designed within the Joint Research Center methodology. It allows revealing the most efficient industries in the region, leading to a new level of regional competence on the global level. The study aims to identify smart specialization priorities based on JRC methodology in certain Ukrainian regions and assess its applicability in emerging markets (Ukrainian case) and develop the set of recommendations considering the specificity of the national economy. The methodology is based on the static and dynamic analysis of economic (the indicators of the growth of average salaries and the number of employees indicators are calculated) and innovation (the indicators of productive, process, organizational, and marketing innovations are analyzed) potential of the region, which is examined in the article. It is revealed that the JRC methodology in identifying the smart specialization priorities has limited application in Ukraine. The restrictions related to the lack of data on innovations and other economic indicators. The analysis of certain regions shows what industries should be recommended as the priorities of smart specialization. However, discussions of the calculated results with the key stakeholders have differences which are not acceptable in the regional innovation policy development. As a result, the experts’ opinions are recommended to consider the priorities of different regions in Ukraine and other developing countries, which are on the path of smart specialization during stakeholders’ communication sessions.


Author(s):  
Elena Tkachenko ◽  
Sergey Bodrunov ◽  
Elena Rogova

The paper explores different models of innovation management at the regional level and reasons for the best model considering the specific features of St. Petersburg as the innovative region of Russia. The authors, on the base of their long-time experience in studies of innovative enterprises and elaborating the regional innovation policy in St. Petersburg, propose the tool of creation and measuring the results of the regional innovation policy that promotes the life quality improvement and regional sustainable development. The balanced scorecard is used as a method, based on the methodology of knowledge economy development and adjusted to the specific needs of St. Petersburg innovation eco-system. The authors pay special attention to the implementation of principles of green economy into the realization of the regional innovation policy and the proposed balanced scorecard.


2020 ◽  
Vol 6 (5) ◽  
pp. 209-215
Author(s):  
Yevheniia Polishchuk ◽  
Alla Ivashchenko ◽  
Anna Kornyliuk

SMART specialization is a basic approach to the development of regional innovation policy. It involves identifying priority sectors of the local economy with the involvement of key stakeholders. Currently, statistics on the development of regions are presented in terms of large business, small and medium. In this context, the generally accepted methodology from the Joint Research Center of the European Commission has limited application. Because it does not take into account the performance of microbusiness (individual entrepreneurs). For countries with economies in transition, this is critical, as they reach 80% of the business structure. Therefore, considering their voice is also necessary. Our approach involves a combination of quantitative (assessment of innovation and economic potential of the region) and qualitative (survey of microbusiness representatives) methods to identify priority areas of SMART specialization. Approbation of the offered method was carried out on the example of the Mykolaiv region which is in the south of Ukraine. The results of the study have shown that the innovation of microenterprises is at a low level. At the same time, they demonstrate a high level of desire to be involved in the process of SMART specialization and innovation of production.


Author(s):  
L. V. Konoshko

The article assesses innovative regional policy on the example of the Khabarovsk Territory. The features of the institutional support for the successful implementation of innovation policy are revealed. The directions of the institutional support of the regional innovation policy are determined on the basis of advanced domestic and foreign experience


Author(s):  
Lisa Nieth ◽  
Paul Benneworth

The chapter addresses the question of how universities respond to regional policy, and in particular, the ways in which academics are motivated and encouraged by regional development policies. The chapter specifically asks whether entrepreneurial universities create frameworks which allow university actors to positively contribute to collective development activities (such as clusters or technology transfer networks) by building new kinds of regional institutions. The chapter uses examples from three universities that all seek to be actively regionally engaged. This chapter identifies the factors that both encourage but also discourage these individual actors and notes that ongoing connections between individual academics and regional partners are critical to ensuring this constructive collaboration. The chapter contends that regional innovation policy should devote more resources to building these critical links.


2019 ◽  
pp. 39-46
Author(s):  
Olha Bilanyuk

The development of cross-border tourism markets can not be considered beyond the basic principles of EU development policy - smart, sustainable and inclusive growth. The approach to the development of tourism based solely on the use of cultural and natural resources is unpredictable in modern conditions. European experience proves that it is important to consider tourism not as a sphere in the shadow of the industrial sector, but as an integral part of the regional innovation system and an element of the development of the knowledge economy in the region. At the same time, smart-development of tourism is based not only on the active use of the newest information and communication technologies, but also on managerial innovations, production of innovative types of tourist services, application of technologies related to the use of robotics, innovative medical equipment, renewable energy, etc. The purpose of the article is to determine strategic priorities of the development of cross-border tourism market on the basis of smart-specialization, definition of directions of joint actions of Ukraine and the EU countries (both at the level of authorities and local self-government, and business sector) in the development and promotion of new tourist products, substantiation of directions of effective the use of endogenous tourist potential of a cross-border region in conditions of activation of European integration processes. On the basis of the study, main development directions of Ukrainian-Polish cross-border tourism market on the basis of smart-specialization are defined as following: creation of a digital platform for the Ukrainian-Polish cross-border tourism market, active promotional campaign for tourist products of Ukrainian-Polish cross-border tourism market, development of cycling tourism and creation of an inter-state bicycle route, expansion of market by increasing the number of tourists aged 55+ and creation of tourist products for this age group as well as development of sentimental (nostalgic) tourism.


2017 ◽  
Vol 31 (6) ◽  
pp. 373-387 ◽  
Author(s):  
Marina Ranga ◽  
Tomasz Mroczkowski ◽  
Tsunehisa Araiso

This article looks at the evolution of university–industry collaboration (UIC) policies in Japan since the mid-1990s to the present and analyses their role in shaping the country’s innovation ecosystem. UIC policies are examined within a multidimensional innovation policy framework that encompasses five Science and Technology Basic Plans and a vast array of support measures for venture business, intellectual property, innovation networks and business promotion, all reflecting an extensive top-down government intervention with ambitious goals. A dense network of UIC centres has been established throughout the country, mostly in universities, and these centres are tightly embedded in regional innovation structures. In spite of the sustained government policy intervention, Japan lags behind the United States and Europe in a ranking of the top 20 global ecosystems and has some of the world’s lowest entrepreneurial indicators, as defined by the Global Entrepreneurship Monitor. The authors argue that a likely cause for the lag is Japan’s slow and still incomplete transition from a ‘traditional’ innovation system to a modern innovation ecosystem with a strong entrepreneurial spirit and culture, effective intermediaries between university and industry, high absorptive capacity in companies using academic research, cross-boundary mobility of workforce and ideas and global outreach. The experience of Osaka University and Hokkaido University, two UIC leaders in Japan and internationally, supports this hypothesis.


Author(s):  
Aleksandra Ewa Nowakowska

At the beginning of the twenty-first century, low competitiveness of the economy and the deepening gap relative to the world’s economic powers was the key problem of the European Community. Also, weak innovativeness of the economy, underdeveloped R&D sector with inefficiency of public policy are seen as leading EU challenges These problems have become the basis for criticism of current innovation policy and the search for new methods, tools, and development trajectories. The answer to these challenges is the concept of smart regional specializations proposed along with a new vision of the development of the EU’s, known as Europe 2020 Strategy. Smart specialization is a new paradigm for building competitive advantage of regions. It is also a new way of regional innovation policy, aiming to eliminate barriers and failures in building innovation capacity of regions. The purpose of this article is to show the essence of the concept of regional smart specializations. Article identifies the theoretical assumptions and describes the key elements of this new approach. It exposes the novelty of the concept and identifies the challenges of its implementation.


2021 ◽  
Vol 25 (1) ◽  
pp. 537-550
Author(s):  
Christopher Meyer ◽  
Tim Oliver Howe ◽  
Christian Stollberg ◽  
Laima Gerlitz

Abstract Multifunctional agriculture holds several potentials for applying new technologies and innovative processes to reduce its environmental impact in line with the European Green Deal. Though, new cooperation concepts are a sufficient tool to enhance these potentials, using interdisciplinary and cross-border approaches. Hence, Regional Innovation Strategies on Smart Specialization (RIS3) can play a key role on political level to foster regional innovation development on agriculture in rural areas. By analysing Smart Specialization priority areas, potential crossovers between this innovation policy and actual implementation in practice can be deduced for cross-border cooperation approaches. Thus, the conducted research offers a comparison of priorities for German regions involved into the RUBIN program as use cases, supporting rural and less developed regions. Through these introduced use cases and strategy analysis, the inductive and deductive research offers a cross-border cooperation concept for legume food production, exploiting spillover effects to other priorities related to multifunctional agriculture. The core element of the concept is the introduction of knowledge hubs with an interdisciplinary view to enhance and apply innovation potentials in line with RIS3, which create positive effects on the environmental impact from the start with legume as raw materials until an improvement of its product portfolio for consumption at the end.


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