Local innovation systems in Poland - is it possible?

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Agnieszka Król
6 lat temu
Przeglądów:

1 Wojciech Dziemianowicz Klaudia Peszat Local innovation systems in Poland - is it possible? University of Warsaw, Faculty of Geography and Regional Studies

2 Between NS and LS 1. Characteristics of the national innovation system (Freeman, 1987; Lundvall, 1992; Breschi & Malerba, 1997) 2. Characteristics of the regional innovation system (Cooke, 1992; Cooke et al., 2000; Asheim & saksen 2002, Todtling & Trippl, 2005) 3. Characteristics of the local innovation system ( Martin & Simmie, 2008; Ferretti & Parmentola, 2015)

3 nnovation Policy in Poland as a part of EU nnovation Policy 1. EU 2020 goals (3% / 1.75% but recent Development Program sais 2.0% GDP on R&D) 2. Regional nnovation Strategies 3. Smart Specialisations national level / regional level

4 ZAKŁAD ROZWOJU LS concentration of companies and institutions 1. Self-employed workers per 1000 inhabitants (2013)

5 LS concentration of companies and institutions 2. High-tech companies and R&D investments (2008) Source: Siłka P. (2012), Potencjał innowacyjny wybranych miast Polski a ich rozwój gospodarczy, Warszawa.

6 ZAKŁAD ROZWOJU LS concentration of companies and institutions 3. Cooperation networks in publication and in 7th Framework Programme The number of common articles The number of articles in WoS affiliates in the subregion on one's own national cooperation international cooperation national and international cooperation Source: Olechnicka A., Płoszaj A. (2008)

7 A few words about our research 1. National Research Center ( ), project: Factors of local development in the context of financial crisis and challenges of the future 2. Local leaders survey as one of many methods used questionnaires directed to local authorities response: 528 (21.3%) 4. ssue: institutions which are active in cooperation with local unit Aim of analysis: What kind of institutional resources does Polish gmina have? Are the resources important for LS?

Summary of exploratory factor analysis results Rotated factor loadings (Kaiser Meyer Olkin measure: 0.869; N=528) nstitution nnovations Universities.815 High Schools.759 Private consulting.

8 Summary of exploratory factor analysis results Rotated factor loadings (Kaiser Meyer Olkin measure: 0.869; N=528) nstitution nnovations Universities.815 High Schools.759 Private consulting.682 R&D nstitutions.637 SEZ.471 Groups of entrepreneurs GofE in neighbors.804 GofE in region.794 GofE in gmina.588 Local development institutions Economic selfgovernment Regional development agencies RDA in other regions LD in neighbors.866 LD in region.772 LD in gmina.767 ESG in neighbors ESG in gmina ESG in region RCforFD RDA in region Percentage of variance

9 Local economic networks Strong business networks: Rzeszów, Elbląg, Częstochowa Weak business networks: Kraków, Chorzów Complementary networks: Warszawa, Łódź, Poznań, Suwałki

Białystok Weak development agencies networks: Warszawa,

10 Local and regional development agencies networks Strong development agencies networks: Kraków, Elbląg, Białystok Weak development agencies networks: Warszawa, Poznań, Łódź Complementary networks: Rzeszów, Koszalin, Barczewo

11 Local innovation networks Voivodship cities: Warszawa, Poznań, Kraków, Rzeszów, Gorzów Wlkp., Bydgoszcz, Toruń Sub-regional cities: Płock, Częstochowa, Suwałki, Elbląg, Ełk Municipalities neighbouring Voivodship cities: Miękinia (c. Wrocław), Zabierzów (c. Kraków), Bogdaniec (c. Gorzów Wlkp.) Unexpected : Mikołajki, Lębork

12 Correlations between networks and development mesaures Data nnovations Groups of entrepreneurs Local development institutions Economic selfgovernment Regional development agencies Population ** 0.158** 0.141** Population growth rate pc Total Municipality Authority ncome 2013 pc Total Municipality Authority ncome growth rate pc Self-employed workers pc Employment growth rate pc NGO s growth rate pc We are trying to attract foreign investors, who shall cooperate with the universities and schools The priority of development to encourage innovation 0.099* 0.137** 0.195** 0.169** * 0.095* * 0.114**

13 Final remarks 1. Local innovation systems dependent on population potential 2. nvisible relation between LS and the wealth of the community 3. The neighbours of large centers (Voivodship cities) as the potential actors of LS 4. The importance of the Local nnovation Systems for the implementation of smart specialisations 5. An interesting role of NGOs, especially in the context of the quadruple helix model

14 Thank you for your attention.

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