Sborník 2009 díl 2. - Fakulta informatiky a managementu - Univerzita ...
Sborník 2009 díl 2. - Fakulta informatiky a managementu - Univerzita ... Sborník 2009 díl 2. - Fakulta informatiky a managementu - Univerzita ...
Elżbieta Pohulak-Żołędowska CLUSTERS-SUPPORTING POLICIES IN CHOSEN CENTRAL AND EASTERN EUROPE COUNTRIES Clusters develop and are important because they create economic benefits. The benefits of a cluster come in three dimensions [Porter, 1998]. First, companies can operate with a higher level of efficiency, drawing on more specialized assets and suppliers with shorter reaction times than they could in isolation. Second, companies and research institutions can achieve higher levels of innovation. Knowledge spillovers and the close interaction with customers and other companies create more new ideas and provide intense pressure to innovate while the cluster environment lowers the cost of experimenting. Third, the level of business formation tends to be higher in clusters. Start-ups are more reliant on external suppliers and partners, all of which they find in a cluster. Clusters also reduce the cost of failure, as entrepreneurs can fall back on local employment opportunities in the many other companies in the same field. These benefits are important both for cluster participants and for public policy. For companies, they create additional value that outweighs the often-higher costs of more intense competition for specialized real estate, skills, and customers at the location [Porter, 1998; Ketels 2003]. They are thus the reasons that clusters emerge naturally from profit-maximizing decisions. For public policy, higher productivity and innovation in clusters are critical because they are the factors that in the long term define the sustainable level of prosperity in a region. The performance of a cluster at a specific location is driven by the business environment that the cluster is operating in. “Business environment” is a broad and naturally vague term: almost everything – from the quality of the schools to the strategies of local competitors – matters for the level of productivity and innovation that companies in the cluster reach at this specific location. To organize this complexity, Michael Porter has in 1990 introduced the so-called “diamond” as an analytical tool to assess business environments [Porter, 1990]. The diamond includes the four elements factor conditions (e.g., physical infrastructure, skills, etc.), demand conditions (e.g., sophistication of local customers, product and consumer regulation), the context for strategy and rivalry (e.g. taxation structure, competition laws, and the strategies of competing local companies), and the presence of related and supporting industries (e.g., the breadth and depth of the cluster). These elements interact in their impact on specific companies and clusters; they exhibit system-effects where the weakest element often tends to have the strongest impact on the overall quality. The diamond can be used to analyze the general quality of the business environment at the national or regional level. 2. Clusters in the Central and Eastern Europe Countries The regions of Central and Eastern Europe have been exposed to these changes with exceptional force. Their level of productivity and innovation still lags significantly behind Western Europe. A low cost position gives them currently an edge in attracting new investment but it is ultimately a sign of the long path that these countries have ahead of themselves to fulfil their citizens’ desires for standards of living at the level of Western Europe. Low wages are over time inconsistent with the aspirations to achieve catch-up to the prosperity levels of the old EU member countries. This goal will only be reached if the new EU members create the conditions for rapid productivity growth. The Central and Eastern European regions have a past as planned economies in which economic activities were based on political much more than on economic considerations. The transition to high-productivity economies involves increased levels of geographical specialization. Clusters and cluster-based economic development migth 164
Elżbieta Pohulak-Żołędowska CLUSTERS-SUPPORTING POLICIES IN CHOSEN CENTRAL AND EASTERN EUROPE COUNTRIES be the rigt answer for the new EU members needs, but considering factors mentioned above – it will surely be a long and complicated way to follow. [4, s. 58] The identification of business clusters is usually based on four basic methodological approaches: input-output analysis, calculation of location quotients, quantitative and qualitative techniques to visualise particular networks/clusters; and a combination of the above approaches.[2, s. 30] Special attention needs to be paid to the possibility of clusters straddling statistical boundaries. Furthermore, as clusters are not static systems, cluster maps can present only a snapshot image in time of clusters that are emerging, growing or declining. 3. Clusters in the economic policies of chosen countries. Because of the specific conditions in which clusters in CEEC evolve, they differ a lot from those existing in the Western Europe. Clusters are spontaneously emerging cooperations of enterprises, customers, authorities, suppliers, scientific centers (e.g. universities) etc. This sort of likages between mentioned entities gives the regions they exist in an extra acceleration of development. Central and Eastern Europe Countries differ from Western Europe countries in many areas. But the idea of developing their economies through cluster structures development seems to be a good one. [1, s.9] Unfortunately clusters seem to be a result of evolution - a slow process of matching, a long lasting co-existence of different “market actors”. Unfortunately for developing countries, which have to “catch up the world running away”. For this reason the revolutionary changes are more welcome there than evolutionary ones. And such changes can be fostered only by cluster support economic policies of countries, regions or local ones. The variety in clusters in shape, composition, nature of inter-firm links, and institutions underpinning them is mirrored by the variety in national and local cluster support policies ranging from passive to pro-active strategies. Cluster policies are variously seen as ways to dynamise local economies, facilitating regional industrial reorganisation; as tools to strengthen survival firm through networking relationships or as strategies to use public funds earmarked for development more efficiently. 3.1 Slovenia Slovenia’s approach of “dynamic concentric circles” encouraging clustering of SMEs around a lead company, mostly large in size, had fostered eleven institutionalised clusters encompassing 700 companies working on more than 150 joint projects in areas such as marketing, production, R&D and internationalisation in 2003 [2, s. 71]. Slovenia became interested in clusters towards the end of the 1990s while trying to grapple with the significant lag in productivity of Slovenian industry compared with the EU average. In contrast to the other four countries researched, Slovenia decided to integrate the concept of clusters systematically in a comprehensive approach to serve long-term economic policy goals. It anchored clusters at the heart of a pro-active industrial policy aiming at SME support and the upgrading of productivity levels and innovation potential of Slovenian industry dedicating significant resources both in money and in attention paid to the process. [7, s.71] 165
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Elżbieta Pohulak-Żołędowska CLUSTERS-SUPPORTING POLICIES IN CHOSEN CENTRAL<br />
AND EASTERN EUROPE COUNTRIES<br />
be the rigt answer for the new EU members needs, but considering factors mentioned<br />
above – it will surely be a long and complicated way to follow. [4, s. 58]<br />
The identification of business clusters is usually based on four basic methodological<br />
approaches: input-output analysis, calculation of location quotients, quantitative and<br />
qualitative techniques to visualise particular networks/clusters; and a combination of the<br />
above approaches.[2, s. 30] Special attention needs to be paid to the possibility of<br />
clusters straddling statistical boundaries. Furthermore, as clusters are not static systems,<br />
cluster maps can present only a snapshot image in time of clusters that are emerging,<br />
growing or declining.<br />
3. Clusters in the economic policies of chosen countries.<br />
Because of the specific conditions in which clusters in CEEC evolve, they differ a lot<br />
from those existing in the Western Europe. Clusters are spontaneously emerging<br />
cooperations of enterprises, customers, authorities, suppliers, scientific centers (e.g.<br />
universities) etc. This sort of likages between mentioned entities gives the regions they<br />
exist in an extra acceleration of development. Central and Eastern Europe Countries<br />
differ from Western Europe countries in many areas. But the idea of developing their<br />
economies through cluster structures development seems to be a good one. [1, s.9]<br />
Unfortunately clusters seem to be a result of evolution - a slow process of matching, a<br />
long lasting co-existence of different “market actors”. Unfortunately for developing<br />
countries, which have to “catch up the world running away”. For this reason the<br />
revolutionary changes are more welcome there than evolutionary ones. And such<br />
changes can be fostered only by cluster support economic policies of countries, regions<br />
or local ones. The variety in clusters in shape, composition, nature of inter-firm links,<br />
and institutions underpinning them is mirrored by the variety in national and local<br />
cluster support policies ranging from passive to pro-active strategies. Cluster policies<br />
are variously seen as ways to dynamise local economies, facilitating regional industrial<br />
reorganisation; as tools to strengthen survival firm through networking relationships or<br />
as strategies to use public funds earmarked for development more efficiently.<br />
3.1 Slovenia<br />
Slovenia’s approach of “dynamic concentric circles” encouraging clustering of SMEs<br />
around a lead company, mostly large in size, had fostered eleven institutionalised<br />
clusters encompassing 700 companies working on more than 150 joint projects in areas<br />
such as marketing, production, R&D and internationalisation in 2003 [2, s. 71].<br />
Slovenia became interested in clusters towards the end of the 1990s while trying to<br />
grapple with the significant lag in productivity of Slovenian industry compared with the<br />
EU average. In contrast to the other four countries researched, Slovenia decided to<br />
integrate the concept of clusters systematically in a comprehensive approach to serve<br />
long-term economic policy goals. It anchored clusters at the heart of a pro-active<br />
industrial policy aiming at SME support and the upgrading of productivity levels and<br />
innovation potential of Slovenian industry dedicating significant resources both in<br />
money and in attention paid to the process. [7, s.71]<br />
165