896 resultados para regional innovation policy


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Valtaosa eurooppalaisista yrityksistä on pk-yrityksiä, mutta tästä huolimatta seudullisen innovaatiopolitiikan vaikutusta juuri pk-yrityksiin on tutkittu melko vähän. Tämän tutkimuksen tarkoituksena on luoda yleiskuva pk-yritysten näkemykseen oman seutunsa innovaatiopolitiikasta viidellä EU:n alueella sijaitsevalla seudulla. Kirjallisuuden perusteella rakennettiin seudullista innovaatiopolitiikkaa kuvaava kysely, johon joukko pk-yrityksiä viideltä seudulta vastasi. Kyselyn tulokset kuvailtiin graafisesti, minkä lisäksi etsittiin vastauksiin vaikuttaneita tekijöitä ja yhteyksiä yritysten vastausten välillä. Tutkimus oli luonteeltaan lähinnä kvantitatiivinen. Tutkimus osoittaa, että seudullisessainnovaatiopolitiikassa on vielä paljon kehitettävää, jotta se tavoittaisi kattavasti pk-yritykset. Pk-yritysten tietoisuutta tulisi lisätä, sillä nämä eivät yleisesti ottaen näytä pitävän seudullista innovaatiopolitiikkaa menetykseen vaikuttavana tekijänä tai siihen liittyviä yhteistyömahdollisuuksia tärkeinä omalle toiminnalleen. Erot innovaatiotoiminnan seudullisessa roolissa tulivat esiin tuloksissa. Yritysten vastauksia selittäviä tekijöitä löydettiin, samoin yhteyksiä vastausten välillä, mutta varsinaisten johtopäätösten tekeminen edellyttänee laajempaa tutkimusta

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Valtaosa eurooppalaisista yrityksistä on pk-yrityksiä, mutta tästä huolimatta seudullisen innovaatiopolitiikan vaikutusta juuri pk-yrityksiin on tutkittu melko vähän. Tämän tutkimuksen tarkoituksena on luoda yleiskuva pk-yritysten näkemykseen oman seutunsa innovaatiopolitiikasta viidellä EU:n alueella sijaitsevalla seudulla. Kirjallisuuden perusteella rakennettiin seudullista innovaatiopolitiikkaa kuvaava kysely, johon joukko pk-yrityksiä viideltä seudulta vastasi. Kyselyn tulokset kuvailtiin graafisesti, minkä lisäksi etsittiin vastauksiin vaikuttaneita tekijöitä ja yhteyksiä yritysten vastausten välillä. Tutkimus oli luonteeltaan lähinnä kvantitatiivinen. Tutkimus osoittaa, että seudullisessa innovaatiopolitiikassa on vielä paljon kehitettävää, jotta se tavoittaisi kattavasti pk-yritykset. Pk-yritysten tietoisuutta tulisi lisätä, sillä nämä eivät yleisesti ottaen näytä pitävän seudullista innovaatiopolitiikkaa menetykseen vaikuttavana tekijänä tai siihen liittyviä yhteistyömahdollisuuksia tärkeinä omalle toiminnalleen. Erot innovaatiotoiminnan seudullisessa roolissa tulivat esiin tuloksissa. Yritysten vastauksia selittäviä tekijöitä löydettiin, samoin yhteyksiä vastausten välillä, mutta varsinaisten johtopäätösten tekeminen edellyttänee laajempaa tutkimusta.

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Seudullinen innovaatio on monimutkainen ilmiö, joka usein sijaitsee paikallisten toimijoiden keskinäisen vuorovaikutuksen kentässä. Täten sitä on perinteisesti pidetty vaikeasti mitattavana ilmiönä. Työssä sovellettiin Data Envelopment Analysis menetelmää, joka on osoittautunut aiemmin menestyksekkääksi tapauksissa, joissa mitattavien syötteiden ja tuotteiden väliset suhteet eivät ole olleet ilmeisiä. Työssä luotiin konseptuaalinen malli seudullisen innovaation syötteistä ja tuotteista, jonka perusteella valittiin 12 tilastollisen muuttujan mittaristo. Käyttäen Eurostat:ia datalähteenä, lähdedata kahdeksaan muuttujsta saatiin seudullisella tasolla, sekä mittaristoa täydennettiin yhdellä kansallisella muuttujalla. Arviointi suoritettiin lopulta 45 eurooppalaiselle seudulle. Tutkimuksen painopiste oli arvioida DEA-menetelmän soveltuvuutta innovaatiojärjestelmän mittaamiseen, sillä menetelmää ei ole aiemmin sovellettu vastaavassa tapauksessa. Ensimmäiset tulokset osoittivat ylipäätään liiallisen korkeita tehokkuuslukuja. Korjaustoimenpiteitä erottelutarkkuuden parantamiseksi esiteltiin ja sovellettiin, jonka jälkeen saatiin realistisempia tuloksia ja ranking-lista arvioitavista seuduista. DEA-menetelmän todettiin olevan tehokas ja kiinnostava työkalu arviointikäytäntöjen ja innovaatiopolitiikan kehittämiseen, sikäli kun datan saatavuusongelmat saadaan ratkaistua sekä itse mallia tarkennettua.

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The emergence of the so-called “European Paradox” shows that R&D investment is not maximally effective and that increasing the scale of public R&D expenditures is not sufficient to generate employment and sustained economic growth. Increasing Governmental R&D Investment is far from being a “panacea” for stagnant growth. It is worth noting that Government R&D Investment does not have a statistically significant impact on employment, indicating the need to assess the trade-offs of policies that could lead to significant increases in government expenditure. Surprisingly, Governmental R&D Employment does not contribute to “mass-market” employment, despite its quite important role in reducing Youth-Unemployment. Despite the negative side-effects of Governmental R&D Employment on both GVA and GDP, University R&D Employment appears to have a quite important role in reducing Unemployment, especially Youth-Unemployment, while it also does not have a downside in terms of economic growth. Technological Capacity enhancement is the most effective instrument for reducing Unemployment and is a policy without any downside regarding sustainable economical development. In terms of wider policy implications, the results reinforce the idea that European Commission Research and Innovation policies must be restructured, shifting from a transnational framework to a more localised, measurable and operational approach.

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Local trajectories and arrangements play a significant role because the development of a research field, such as nanoscience and nanotechnology, requires substantial investments in human and instrumental resources. But why are there often concentrated in a limited number of places? What dynamics lead to such concentration? The hypothesis is that there is an assemblage of heterogeneous resources through the action of local actors. The chapter will explore, from an Actor Network Theory (ANT) perspective, how the local emergence of research dynamics from: the revival of local traditions, the local and national action of institutional entrepreneurs, controversial dynamics, and researchers' arrangements to involve other actors. It will examine how they connect up with each other and mutually commit themselves to the development of new technologies. It will focus on the role of narratives in this assembling: how were the local narratives of the past mobilized and to what effect.

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The importance of the regional level in research has risen in the last few decades and a vast literature in the fields of, for instance, evolutionary and institutional economics, network theories, innovations and learning systems, as well as sociology, has focused on regional level questions. Recently the policy makers and regional actors have also began to pay increasing attention to the knowledge economy and its needs, in general, and the connectivity and support structures of regional clusters in particular. Nowadays knowledge is generally considered as the most important source of competitive advantage, but even the most specialised forms of knowledge are becoming a short-lived resource for example due to the accelerating pace of technological change. This emphasizes the need of foresight activities in national, regional and organizational levels and the integration of foresight and innovation activities. In regional setting this development sets great challenges especially in those regions having no university and thus usually very limited resources for research activities. Also the research problem of this dissertation is related to the need to better incorporate the information produced by foresight process to facilitate and to be used in regional practice-based innovation processes. This dissertation is a constructive case study the case being Lahti region and a network facilitating innovation policy adopted in that region. Dissertation consists of a summary and five articles and during the research process a construct or a conceptual model for solving this real life problem has been developed. It is also being implemented as part of the network facilitating innovation policy in the Lahti region.

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This study focuses on regional innovation strategy (RIS) and sustainability aspects in selected regions of European Union (EU) countries. It is known that RIS helps a region to innovate locally and to compete globally and it is considered as one of the main policy tools of the EU for innovation support at a regional level. This study is conducted to explore the existence and adoption of RIS in different regions of selected EU countries, and to highlight and compare regional RIS characteristics. The study is also aimed at identifying the factors that characterise the formulation and implementation of RIS as well as the problems associated thereof. In this study, six regions of EU countries are considered: Päijät-Häme Region (Finland); London Region (United Kingdom); Mid-West Region (Ireland); Veneto Region (Italy); Eastern Region (Poland); and West Region (Romania). Data and information are collected by sending questionnaires to the respective regional authorities of these selected regions. Based on the gathered information and analysis, RIS or equivalent strategy document serves as a blueprint for forwarding innovative programmes towards regional sustainability. The objectives of RIS in these regions are found to be dependent on the priority sectors and state of the region’s development. The current environmental sustainability aspects are focused on eco-design, eco-products, and eco-innovation, although each region also has its own specific aspects supported by RIS. Likewise, regional policies typically follow the RIS yet translated in various sectoral focus or priority areas. The main enhancing factors supporting RIS among selected regions have some similarities and variations; among others, some regions are strongly supported by EU while others have support from own regional agencies, organisations and professional networks. RIS implementation is not without challenges and despite the differences in challenges, almost all of reviewed regions consider financial resource as a common problem. Generally, it is learned from this study that RIS and regional sustainability are reinforcing each other mutually. In this study, the strong focus is given towards environmental sustainability in the regions although regional sustainability also includes economic and social aspects. A well-focused and prioritised RIS is beneficial for regional sustainable development.

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In the past decades since Schumpeter’s influential writings economists have pursued research to examine the role of innovation in certain industries on firm as well as on industry level. Researchers describe innovations as the main trigger of industry dynamics, while policy makers argue that research and education are directly linked to economic growth and welfare. Thus, research and education are an important objective of public policy. Firms and public research are regarded as the main actors which are relevant for the creation of new knowledge. This knowledge is finally brought to the market through innovations. What is more, policy makers support innovations. Both actors, i.e. policy makers and researchers, agree that innovation plays a central role but researchers still neglect the role that public policy plays in the field of industrial dynamics. Therefore, the main objective of this work is to learn more about the interdependencies of innovation, policy and public research in industrial dynamics. The overarching research question of this dissertation asks whether it is possible to analyze patterns of industry evolution – from evolution to co-evolution – based on empirical studies of the role of innovation, policy and public research in industrial dynamics. This work starts with a hypothesis-based investigation of traditional approaches of industrial dynamics. Namely, the testing of a basic assumption of the core models of industrial dynamics and the analysis of the evolutionary patterns – though with an industry which is driven by public policy as example. Subsequently it moves to a more explorative approach, investigating co-evolutionary processes. The underlying questions of the research include the following: Do large firms have an advantage because of their size which is attributable to cost spreading? Do firms that plan to grow have more innovations? What role does public policy play for the evolutionary patterns of an industry? Are the same evolutionary patterns observable as those described in the ILC theories? And is it possible to observe regional co-evolutionary processes of science, innovation and industry evolution? Based on two different empirical contexts – namely the laser and the photovoltaic industry – this dissertation tries to answer these questions and combines an evolutionary approach with a co-evolutionary approach. The first chapter starts with an introduction of the topic and the fields this dissertation is based on. The second chapter provides a new test of the Cohen and Klepper (1996) model of cost spreading, which explains the relationship between innovation, firm size and R&D, at the example of the photovoltaic industry in Germany. First, it is analyzed whether the cost spreading mechanism serves as an explanation for size advantages in this industry. This is related to the assumption that the incentives to invest in R&D increase with the ex-ante output. Furthermore, it is investigated whether firms that plan to grow will have more innovative activities. The results indicate that cost spreading serves as an explanation for size advantages in this industry and, furthermore, growth plans lead to higher amount of innovative activities. What is more, the role public policy plays for industry evolution is not finally analyzed in the field of industrial dynamics. In the case of Germany, the introduction of demand inducing policy instruments stimulated market and industry growth. While this policy immediately accelerated market volume, the effect on industry evolution is more ambiguous. Thus, chapter three analyzes this relationship by considering a model of industry evolution, where demand-inducing policies will be discussed as a possible trigger of development. The findings suggest that these instruments can take the same effect as a technical advance to foster the growth of an industry and its shakeout. The fourth chapter explores the regional co-evolution of firm population size, private-sector patenting and public research in the empirical context of German laser research and manufacturing over more than 40 years from the emergence of the industry to the mid-2000s. The qualitative as well as quantitative evidence is suggestive of a co-evolutionary process of mutual interdependence rather than a unidirectional effect of public research on private-sector activities. Chapter five concludes with a summary, the contribution of this work as well as the implications and an outlook of further possible research.

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This paper asks to question. First, what types of linkages make firms in the service sector innovate? And second, what is the link between innovation and the firms’ productivity and export performance? Using survey data from Northern Ireland we find that links intra-regional links (i.e. within Northern Ireland) to customers, suppliers and universities have little effect on innovation, but external links (i.e. outside Northern Ireland) help to boost innovation. Relationships between innovation, exporting and productivity prove complex but suggest that innovation itself is not sufficient to generate productivity improvements. Only when innovation is combined with increased export activity are productivity gains produced. This suggests that regional innovation policy should be oriented towards helping firms to innovate only where it helps firms to enter export markets or to expand their existing export market presence.

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In the global economy, innovation is one of the most important competitive assets for companies willing to compete in international markets. As competition moves from standardised products to customised ones, depending on each specific market needs, economies of scale are not anymore the only winning strategy. Innovation requires firms to establish processes to acquire and absorb new knowledge, leading to the recent theory of Open Innovation. Knowledge sharing and acquisition happens when firms are embedded in networks with other firms, university, institutions and many other economic actors. Several typologies of innovation and firm networks have been identified, with various geographical spans. One of the first being modelled was the Industrial Cluster (or in Italian Distretto Industriale) which was for long considered the benchmark for innovation and economic development. Other kind of networks have been modelled since the late 1970s; Regional Innovation Systems represent one of the latest and more diffuse model of innovation networks, specifically introduced to combine local networks and the global economy. This model was qualitatively exploited since its introduction, but, together with National Innovation Systems, is among the most inspiring for policy makers and is often cited by them, not always properly. The aim of this research is to setup an econometric model describing Regional Innovation Systems, becoming one the first attempts to test and enhance this theory with a quantitative approach. A dataset of 104 secondary and primary data from European regions was built in order to run a multiple linear regression, testing if Regional Innovation Systems are really correlated to regional innovation and regional innovation in cooperation with foreign partners. Furthermore, an exploratory multiple linear regression was performed to verify which variables, among those describing a Regional Innovation Systems, are the most significant for innovating, alone or with foreign partners. Furthermore, the effectiveness of present innovation policies has been tested based on the findings of the econometric model. The developed model confirmed the role of Regional Innovation Systems for creating innovation even in cooperation with international partners: this represents one of the firsts quantitative confirmation of a theory previously based on qualitative models only. Furthermore the results of this model confirmed a minor influence of National Innovation Systems: comparing the analysis of existing innovation policies, both at regional and national level, to our findings, emerged the need for potential a pivotal change in the direction currently followed by policy makers. Last, while confirming the role of the presence a learning environment in a region and the catalyst role of regional administration, this research offers a potential new perspective for the whole private sector in creating a Regional Innovation System.