ࡱ>  @ bjbj5*5* 4<W@W@ &TTThl(l(l(8(T)hg**"**++++ggggggg$@iRkAgTA++AAAg|X*:+VgIIIArT+T+gIAgII_TTa+* Έltl(CF;`7flg0gQ`6lGrl,ahhTTlTa+0 3"I/8K<+++AgAghh#l(WI^hhl(INFLUENCE OF CLUSTERS ON COMPETITIVENES GROWTH SOME EXPERIENCES IN EU AND POST-TRANSITION COUNTRIES Abstract Industrial and regional clusters have become the sine qua non for competitiveness growth and economic development policies in the global economy. The main purpose of cluster growth is to encourage regional development and increase national economy competitiveness. Clusters enable companies to overcome internal restrictions by joining their efforts and resources with other enterprises, scientific and research institutions, universities and public sector organisations. The main purpose value of this research is the analysis of clusters, their importance and influence on competitiveness growth in the global economy. This analysis is based on the theoretical framework of cluster development and some experiences in the EU and post-transition countries. The comparative analysis of regional clusters in Europe indicates that most clusters are located close to major cities and in regions with universities and prestige research organisations where they influence competitiveness growth and cooperation and partnership among all clusters agents. Initiatives for cluster development in post-transition countries have occurred after 2000, most of them as a result of the governments initiatives. The research findings suggest that post-transition countries should provide data, tools and methods to improve the quality of cluster initiatives in accordance with the already implemented experiences in the old EU member states. Keywords: clusters; competitiveness; cooperation; partnership; trust; innovative processes; growth; enterprise; post-transition countries Introduction Interest of contemporary literature and practice on clusters overlaps with the focus on the microeconomic structure and company growth as the main source of TO JE OVO?competitiveness. At the same time, the erosion of trade sources in competitiveness growth was substituted for the focus on innovative processes in many countries. New forms of cooperation and competitiveness between enterprises have been created, thus making clusters a vital tool for competitiveness growth. They allow enterprises to reach a higher level of competitiveness and innovativeness based on networks connected to the public sector, universities and research organisations. Throughout 1970-ties and 1980-ties clusters created a strong position in the global market for both traditional products (for instance, The Third Italy refers to the region of north-eastern and central Italy globally noted for numerous industrial locations consisting of networks of small and medium-sized companies in traditionally processing sectors) and for high-technology products (such as Silicon valley). In 1990-ties clusters were regarded as an important tool for stimulating companies competitiveness and innovations. Michael E. Porter (Porter, 1990; Porter, 1998, Porter, 2003), one of the most important contributors to the cluster theory, already emphasized a close link between clusters and enterprises and industry competitiveness. Industrial and regional clusters have become the sine qua non for competitiveness growth and economic development policies in many parts of the world (Rosenfeld, 2002, 5). Competitiveness growth is a vital prerequisite for a faster economic growth and development in post-transition countries as well as for meeting the EU standards. As the EU Lisbon Strategy identifies the need for cluster development as a tool for future competitiveness growth until 2010, this paper examines the significance and practical experiences of cluster development, which have become a key tool for the competitiveness growth. Of particular importance to post-transition countries lagging behind the developed countries are clusters commonly referred to as gazelles in innovation and competitiveness growth especially with regard to their competitiveness level. They are essential for stimulating micro-economic competitiveness and total economic growth and development in any country. The aim of this paper is to analyse the main tool for competitiveness growth in the global economy, i.e. clusters. Their development is of the utmost importance to post-transition countries trailing behind the developed ones, according to their competitiveness level. The contribution of this paper is to analyse the influence of cluster development on competitiveness growth. It rests on the theoretical framework of cluster development and on some experiences in the EU and post-transition countries. 1. The importance of clusters for competitiveness growth 1.1. The essence and THE role of clusters Today, a cluster concept presents a metaphor used as a guide in industrial and regional planning as well as in innovativeness and competitiveness growth worldwide. However, this term has often been used in various meanings. One reason lies in the absence of a consistent theoretical framework for studying clusters. That's why Feser (1998) stresses out that there is no a per se cluster theory, but an extensive set of theories and ideas discussing clusters. Therefore, an extensive system of interpretations allows for the cluster concept (Eisebith and Eisebith, 2004, 2). Boekholt (1997, 1) underlines that numerous cluster initiatives have led to a widely spread confusion. It is rarely clear what distinguishes clusters from other concepts such as industrial districts, technology parks, networks and other forms of cooperation between industrial companies and research institutions. Already Held noted (Held, 1996, 249): "Unfortunately, since many governments rush to form clusters, some basic prerequisites for their creation are being omitted including adequate research methods and even the very definition of clusters. When studying clusters a distinction in meaning between industrial and regional clusters can be seen. An industrial cluster is primarily created according to an economic criterion and represents a flexible form of cooperation implying strong inter-relations between enterprises, their suppliers and research and education organisations. Regional clusters are geographic concentrations of mutually dependent companies and knowledge/technology providers representing an important competitiveness growth tool (Rosenfeld, 1997). In many countries clusters enable companies to overcome internal restrictions by joining their efforts and resources with other companies, scientific and research institutions, universities and public sector organisations. Clusters established on a regional level may create the perfect environment for innovation growth, thus allowing companies to gain advantage in providing specialized goods, services, knowledge, information, skills and education. Proximity to consumers, competitors, providers, universities and research organisations favours growth, innovative processes, new employment and regional attractiveness. Some authors consider clusters to be a form of global competition since economic specialization is the only way to overcome the globalization trap and to beat the competition beyond borders (Lagendijk, 2000, 165). For instance, Porter outlines many clusters involve government and other institutions (Porter, 1998). Such a concept is often called a regional innovation system - regional clusters plus supporting institutions. Parallel support from government and institutions and entrepreneurs is often required in order to develop a successful cluster. The importance of clusters lies primarily in multiple participants ties that may be less or more visible and may occur within the same sector or related sectors that are close competitors or members of the same value chain acting interactively. Hence, clusters are: A dynamic network of specialized business and other activities changing constantly (EC, 2002, 13.). These networks of interdependent companies are linked by production chains of added value and improve innovations (OECD, 2002); The concentration of independent businesses with active business transactions channels, dialogue and communication collectively sharing joint possibilities and threats (Rosenfeld, 1997, 10); Dynamic relationships between companies. Relationships may be developed on common or complementary products, production processes, technologies, natural resources and distribution channels (Rosenfeld, 2002, 6); Clusters are not defined by organisational membership, but by joining many real benefits that makes free riders also part of clusters. Their common needs may exert an extern economy influence as they are joined in a cluster as members (Rosenfeld, 2002, 6). Joining in a cluster may be related to purchaser-provider relationships or to technologies, complementary knowledge or work force. Generally speaking, competitive companies form a competitive cluster while an economic self-interest is a final objective determining the cluster and its development. Many theorists point out the role of trust and cooperation among companies, cluster members and supporting non-business organisations. Companies and institutions in a particular cluster share some basic features: Proximity they need to be close enough in space to allow any positive spill-overs and the occurrence of sharing common resources; Linkages their activities need to share a common goal, for example, the final market demand, so that they are able to profit from proximity and interaction; Interactions being close and working on related issues is not enough for positive cluster effects to occur some level of active interaction has to be present; finally, Critical mass a sufficient number of present participants is required for the interactions to have a meaningful impact on companies' performance (Ketels, 2004, 1). The following picture illustrates the basic inter-linked characteristics of clusters. Figure 1. Porter,S Diamond cluster model It should be pointed out that clusters allow participants to be more productive, more competitive and innovative than they would be if acting independently. In other words, the advantage of clustering does not only have an impact on companies and other participants in the cluster, but also on complementary companies allowing the cluster to become fertile ground for creating new clusters. 1.2. Cluster development initiatives Cluster development covers a wide range of different activities. Two thirds of all clusters are active in at least five out of six broad active areas (research/networking, lobbying, commercial cooperation, education, innovation/technology and attracting investments). The abovementioned is in accordance with the basics of cluster policy. Its priority is to include a wide range of policies rather than, for instance, networking only. Despite their heterogeneity, cluster initiatives seek to share a common organisational structure. The goal of cluster development is not to create clusters, but to support faster development of already existing clusters i.e. to make passive clusters active. The cluster development initiative arises from the government, business sector or is an equally intense mixture of both. In most cases companies are those to exert the greatest influence upon cluster formation, whereas the government exerts its impact upon launching of the initial initiative. The government seeks to operate as a critical factor in funding the initial initiative and in securing a certain form of organisational support. In most cluster initiatives, which Ketels carried out in his study, cluster managers played a decisive role in cluster development. These managers try to gain a final success for the whole cluster by leading single groups attending to specified areas (Ketels, 2003, 17). Regional cluster development studies carried out so far also indicate which factors are related to success and which to failure. It is also known that a cluster develops more successfully if it is developed in a location with a good business environment. Furthermore, cluster development is more effective if part of a broader national strategy the aim of which is to improve the microeconomic business environment in a single region. Behind every successful cluster there is a group of innovative people who validate studying, are dedicated to the community and are therefore ready to make a social vision a success. (Rosenfeld, 2002, 9). It is very important to secure a small operative budget in the initiative phase of cluster development. This budget might fund a basic office and a cluster manager. If such funds are missing, it is hard to expect sustainable cluster development in a longer period. As this is the case with the initial phase of cluster development initial funds are expected from the government (Ketels, 2003, 18). The following are the main obstacles i.e. failure factors that might restrict cluster development (Rosenfeld, 2002, 9): Weak infrastructure; Lack in capital, technology and innovation accessibility; Regional isolation; Low education level and low qualification capability of work force; Lack in talents and Old-fashioned industrial structure. Types of products and services that are produced, local development dynamics, a stage of development and business environment surrounding the services and products all this distinguishes initiatives for cluster development. The largest number of cluster development initiatives in the world is launched in the industrial area connected by automobiles, in the area of financial services, tourism and other. Financial clusters in New York and London, the media cluster in Hollywood, information technology cluster in Silicon Valley, cluster of industry connected with automobiles in southern Germany and Detroit, telecommunication cluster in Stockholm and Finland and textiles and fashion cluster in northern Italy are considered to be the most well-known clusters of international importance with the leading market position (Ketels, 2003, 4). 1. 3. Clusters and competitiveness growth Clusters, as industrial and/or geographically concentrated networks, increase competitiveness and expand knowledge and innovations, thus creating a synergy. They stimulate productivity growth in the global economy primarily based on how to compete and not on which sectors, since the conventional competitiveness paradigm has shifted from an autarkic entity of centred business logics towards multiple industrial and economic interactions. Continuous global convergence between various industries, especially gained through the clustering process, provides an obvious example to this. Clustering allows companies to approach a larger number of suppliers and other supporting specialized services, greater labour concentration based on an adequate knowledge and skills exchange. All these processes arise from participation, coordination and networking within a cluster. Many cases demonstrate that competitiveness grows faster in and among clusters, than it does among single companies. Innovations, imitation and entrepreneurship characterise all competitive clusters in the world. The porosity of a cluster compels competitors within a cluster to improve and innovate continuously to maintain their advantage over imitators. Innovations create a strong company but it is the ensuing imitation and competitiveness that generate a volume of a strong cluster. Imitation is as important for a cluster as innovation is since imitation makes new concepts and practices circulate between companies allowing innovation to spread. This is why companies seek a benchmark among competitors. Many imitators have become innovators by improving practices they accept and it is the innovation itself and imitation cycle that prompts clusters towards excellence. Therefore, clusters represent fertile ground for knowledge flow. However, the conditions determining whether knowledge is fluent or not are somehow restricted. Knowledge is not fluent (it does not spread), if people do not share distributed common activities that allow them to apply what they have heard and seen. One of the dominant topics in the literature on clusters is cooperative competition arising from cooperative production in competitive enterprises that develop new products, services or knowledge and fight for market expansion together. Companies minimize risks and maximize their competitive positions by regulating information exchange with direct competitors. Cooperation forms are established on trust. Cooperative competitiveness is one of the major features of clusters. It means that competitive companies inside clusters are finding the ways to act jointly by producing new commodities and fighting in the market together. It means that clusters are founded and developed through a horizontal form of cooperation opposite to traditional vertical cooperation types (Enright, 1996, 199). In this aspect, there are three broad ways in which clusters affect competitiveness: (Porter, 1998, 80): By increasing competitiveness of companies within a cluster; By leading and indicating the way to innovations that support future productivity growth; By fostering new businesses formation that spread and deepen the cluster itself. A cluster offers advantages to every participant as they have a larger scope of potential business and other activities in cooperation with others - without a requirement to give up their flexibility. Cluster porosity forces competitors within a cluster to continually improve and innovate to maintain their advantages over imitators. Clusters efficiently stimulate learning dynamics and knowledge creation based on socially embedded vertical and horizontal linkages of co-locating firms and their interaction with education/ R&D and other firms nearby (Lagendijk, 2000). 2. Clusters in some EU countries 2.1. Beginnings of cluster development The greatest interest in regional clusters and initiatives for cluster development arises from experiences and studies coming from industrial districts in Italy. These areas are distinguished by high concentration of very small companies (mainly traditional ones) in processing industry, by well-developed division of labour among local companies and a high level of entrepreneurship. There are many studies on these clusters, and some authors, like Sforzi (1990) identified 61 so-called Marshals industrial districts mainly located in north eastern and central Italy. Throughout 1980s the aforementioned area employed 900 000 workers making up 5,4% of the total workforce in Italy and 8,6% of all employments in the processing industry. Industrial areas had a more rapid growth in employment in the processing industry and in the total workforce throughout 1970-ties when the national average is concerned. Some other studies show a larger number of employment creations, real wages and return from investments in clusters even in the recession period (OECD, 2001). 2.2. Common features and specific experiences Interest in cluster has recently increased since they present a form of action rather than a description of an economic activity alone. All economic policy makers in Europe have particularly argued in favour of a cluster development policy as the focus has shifted from macro- to microeconomic issues. In all European countries monetary and fiscal policies have mainly been successful in stabilizing economy and encouraging economic growth. However, successful macroeconomic policies have proved to be only a prerequisite rather than a sufficient guarantee for a more rapid development. Only microeconomic efforts geared to new partnerships between business and the public sector, universities and other institutions allow macroeconomic success to be put into practice. About one third of European countries have made systematic efforts to identify and profile clusters quantitatively by mapping them. Research on 34 regional clusters in the EU (EC, 2002) showed that: Small and medium-sized companies prevail in the largest number of researched clusters. The largest number of researched clusters appears in the global market while multinational companies exist in a large number of clusters. Research and development is present in most clusters while standard production activities are outsourced at other locations. Researched clusters are young, developing and have become the leaders in their scope of activity. The Global Competitiveness Reports (WEF, various years), provides comparative data on the overall cluster strength for 75 countries including all European countries. The survey generating the data includes a specific question on the state of cluster development and a series of additional questions that can be used to calculate the overall cluster strength. Table 1 gives a report on the ranks for these two measurements as well as for the quality of broader business environment and overall microeconomic competitiveness. Table 1. European Clusters in the Global Competitiveness Report Country Rank out of 75 countriesState of cluster development rankOverall cluster rankOverall Business Environment rankOverall microeconomic rankFinland UK Germany Sweden Netherlands Denmark Austria Belgium France Ireland Italy Spain Portugal Greece4 5 7 9 14 22 16 25 21 10 1 30 32 677 5 3 14 10 21 11 16 13 26 4 18 38 582 3 4 8 10 9 12 15 21 22 24 25 32 412 3 4 6 7 8 12 13 15 20 24 25 36 43EU average EU (GDP weighted)19 1417 1116 1316 12Source: Ketels, Ch. (2004, 2) according to The Global Competitiveness Report 2002/2003. On the average, Europe ranks slightly lower on cluster development and strength scale than in general with regard to its microeconomic competitiveness. However, the difference is small. But as this is the case with any measurements, a high degree of heterogeneity among the European countries makes them more interesting when they are addressed respectively. Italy is a specific case scoring best results in cluster development in the world but is ranked 24 in overall microeconomic competitiveness. Various approaches to initiate and develop clusters within the EU can be distinguished and there is no guide to policy makers in designing and implementing clusters. In recent years the cluster concept in Great Britain has gained in popularity when shaping the regional economy policy. An explanation for this lies in the need for fostering cluster development according to different cluster structure in various regions. In this context, clusters in the south are service-oriented (software, business services and research and development) and this sector is expected to be the fastest growing sector in this region. Clusters in the northern United Kingdom are based on processing industry, which is regarded as a stagnating and decreasing sector. London and the southeastern area suggest that clusters that are well connected with industry and institutions produce best results. According to the aforementioned, the efforts have been made to create adequate cluster policies in order to lower regional economic gaps and foster their specific structure in different regions. Clusters in Denmark are similar to those in the United Kingdom. Regional and national clusters stand for clusters of competence and know-how resting on the idea that in the future strong clusters will create specific competencies and know-how. The abovementioned definition is of particular importance for shaping the economic policy that would be geared to specific needs of Danish clusters. Regional clusters involve traditional industries such as textiles and furniture industry and horticulture as well as a new industry of mobile and satellite communication. In Portugal, products boosting development of the international competitiveness of the Portuguese industry strongly feature regional clusters. With the connection between enterprises and industries in Portugal being weak, some clusters are still at the initial stage of their development. Furthering a better cooperation between enterprises and creating technological infrastructure in recent years Portuguese national cluster policy has encouraged development of its export industries within a cluster. Regional cluster development has made remarkable progress in Norway having created 62 clusters as the 1990s data suggest. Most (55) are oriented towards the production of specialized products employing some 22% of the total workforce in the Norwegian industry. Statistical analyses show Norwegian companies existing within regional clusters apply experiences of competitive benefit (European Commission, 2002, 22). Regional clusters in Spain are specialized in traditional sectors with high-labour intensity and a low level of technology development. Employment rates and a per capita income level in the areas with regional clusters are higher than the average. In Austria, there are six major types of regional clusters: production, distribution, technology, export, education and a mixed cluster (having elements of other cluster types). A comparative analysis of some clusters in the EU indicated that most clusters are located close to big cities and in regions with influential universities and prestige research organisations. Almost two thirds of regional clusters are rather small (a cluster has fewer than 200 small enterprises). With regard to the number of employees most clusters have more than 200 employed while more than a half employs between 2000 and 10000 people. When considering the size of a company, regional clusters are particularly reliant on development of knowledge and other infrastructure at the local level so that small and medium-sized companies make their largest part. (European Commission, 2002, 29). Over the last decade the interest in regional cluster development has increased since clusters have been regarded as a tool for helping not only the enterprises, but also the whole economy to foster innovation and competitiveness. To be more specific, research showed that companies within a cluster are among the most competitive in the national economy and also quite efficient in terms of creating new employment (European Commission, 2002, 38). 3. Clusters in some post-transition countries 3.1. Differences, similarities, and various experiences As there are huge differences between single post-transition countries that are related to a high/low frequency of occurrence and initiatives for cluster development we shall underline some major prerequisites common to all countries affecting the climate for cluster formation. One of the important features determining a lower level of competitiveness in all post-transition countries when compared to the EU average arises from their heritage. Although single countries differ according to the rapidity and efficiency of transformation of the inherited economic structure, the fostering of competitiveness growth is one of the basic development priorities in all of them. In post-transition economies the initiatives for cluster development have occurred after 2000. They are sharply different as they act in a different social and political context or in the area of various industrial sectors or regions. Differences in economic and other conditions have made the identification of the best practice for cluster development an impossible mission. Cluster initiatives (CIs) widely differ in the type of economic sectors that countries, or their regions have, ranging from agriculture to high-techindustries such as ICT and biotechnology. CIs in developing and post-transition economies are considerably younger than those in developed economies. This reflects the fact that cluster based development projects became popular in developed economies as early as the mid-1990's, while CIs were not adopted in developing and post-transition economies on a larger scale until after the year 2000. In developing economies 55% of CIs started in 2003 or later. The share in post-transition economies is even higher and amounts to 72%, while the corresponding share in developed economies is only 28%. The basic aim of cluster development is to encourage regional development and to increase national economy competitiveness. As most cluster development initiatives entered into force only several years ago or even later it is hard to estimate their real impact on economic development. In developing countries the largest number of cluster development initiatives results from founders who are mostly the international founder organisations or international consultancies. Initiatives set up by the government are more frequent than those launched by the business sector. Most of CIs are top-down initiated. Figure 2. The type of initiators Shaping policy according to which CIs are created can considerably vary in terms of the degree of national centralization. There is a higher degree of economic policy centralization in developing and particularly transition economies when compared to those that are developed. Clusters and competitiveness is a less prominent feature of economic policy and is a marginal matter of debate in post-transition economies than in the developed ones. International organisations as initiators seem to be active in shaping policy where national policy support is somewhat weaker, whereas government initiatives act in shaping policy where competitiveness and cluster policy is more prominent. But, in most post-transition countries, comprehensive policies on cluster development are still not developed. 3.2. Differences in the structure and cluster development initiatives In post-transition countries clusters are developed in different areas ranging from agriculture and tourism to high-technology industry. Studies show that the business sector fosters cluster development in high-technology industry and in sophisticated services (Ketels, Lindiqvist, Slvell, 2006, 15). In these countries clusters are according to their strength generally weaker than clusters in developed countries. Their innovation capabilities are fewer, total competitiveness position weaker and business environment less attractive. Cluster development is based on the mutual cooperation between the existing companies within a cluster and trust between stakeholders is a crucial factor of cluster development. Trust is in general lower in post- transition countries when compared to the developed ones. In all economy enterprises there is a greater trust in other enterprises (business partners) than in the government. Clusters in these countries are most often, although not always, initiated by a top-down approach either by international organisations or by the government and the national and regional development agencies. The top-down approach to cluster development comprises all public initiatives and public schemes that foster clustering by international or public funds. In some cases initiatives are created by a bottom-up approach or the approach funded and governed by business competitors, mostly as the actual agents of cluster development. Domination of the first approach proves the thesis on the prevailing lack in trust between economic agents and still is a dominant way of cluster creation based on the top-down approach. The Global Competitiveness Report measures the strength of a cluster by: the state of cluster development, local supplier quantity, local supplier quality, local availability of specialised research and training services, local availability of process machinery, local availability of components and parts, and extent of collaboration between clusters (WEF). One of the methods for measuring the size of a cluster development initiative is to determine the number of companies actively participating within a cluster. In this context in some clusters there are only a few companies while in others this amounts to over a hundred. In post-transition countries the number of companies participating within a cluster is smaller (only 40% of cluster development initiatives have over 20 companies). The number of companies participating within a cluster is the largest in developed countries where over 71% of clusters have more than 20 participating companies. Figure 3. Number of participating companies Regarding the size of a single enterprise within a cluster, The Global Cluster Initiative Survey GCI from 2005, shows that most of them are small size companies with less than 10 employees. So they are quite often called micro-companies. Post-transition countries have the smallest share of small-size companies while developed economies surprisingly hold the biggest. When small-size companies are concerned (10-50 employees) the situation is opposite. Transition countries have the biggest share of small-size companies and developed countries the smallest. With regard to the ownership structure the situation is almost identical in all countries. Developing countries have a slightly bigger share of foreign-owned companies in cluster development initiatives. As we have previously stated, cluster development initiatives in transition countries started their development after 2000. The latest study on regional clusters in transition countries was completed in June 2006 and had been carried out in 10 new EU members at the level of 41 NUTS in the EU-10 region. There is a considerable difference between sizes of single regions ranging from Malta with 400 000 inhabitants to Warsaw with more than 5 million. In the conducted study clusters are divided into 38 cluster categories. Cluster initiatives and cluster development differ not only in the size of the cluster and number of its employees, but on the approaches to their development. In Slovenia, for instance, the Ministry of economy has had an active cluster program since 1999. According to the international comparisons on cluster development, Slovenia ranks relatively high among the EU-10 new member states while comparing the cluster existence related to the size of its economy. It ranks lower in measurements of specialization and dominance. Slovenias automotive cluster is a reliable and intensive R&D network of automotive suppliers to local vehicle producers and system suppliers in special segments with complex products of higher added value (Ketels, C., Slvell, ., 2006, 31). The vision of this cluster is to transform the Slovenian automotive industry into a specialized system of goods and service suppliers with a high added value. Activities involve promotion, development of a supply network, and infrastructure (data bases for research and development, human resources), dissemination of information on technologies, the quality of the education system and the development of quality and excellence. Another example of clusters in Slovenia is the cluster of transport and logistics. As Slovenia is located on the Venice Trieste route with the port of Koper being of particular importance, in 2003 thirteen companies and three institutions joined up in a cluster. The port of Koper, Slovenian railways and three logistic enterprises with the largest: Intereuropa, are dominant. The port provides development of a database for knowledge management, runs projects on air pollution measuring and a distribution centre in Koper. Intereuropa is involved in the tender system for logistics orders and runs a distribution centre in Maribor. The World Economic Forum report on innovativeness in Lithuania, for instance, outlines that the Ministry of economy has initiated cluster development by several studies such as the cluster development study supported in the Unique program document on structural funds for the period 2004 2006 (Jonauskis, 2007). The potential information-communication technology cluster, run by the INFOBALT association and networked with the lumber and furniture industry, is in its early stage. The INFOBALT association of information-communication companies constitutes a serious attempt of initiation and facilitation of cluster development in order to improve not only its members (enterprises) position, but also countrys international competitiveness. 4. Concluding remarks Clusters encourage competitiveness growth and innovativeness of its member-enterprises, and, at the same time, produce positive externalities offering sector related enterprises or regions easier access to resources, suppliers, new knowledge, skills and new markets. They are based on cooperative competition, partnership and trust between its members. Clusters encourage learning dynamics and knowledge creation as they are based on socially embedded vertical linkages of co-locating enterprises and interactions with education, R&D and other organisations. The experiences from a number of European countries indicate that cluster initiatives may be efficient tools for the growth of enterprises while being supported by comprehensive cluster policies. These policies include competitiveness, innovation, industrial and regional policies, and they are extremely important not only for competitiveness growth, but for lowering regional economic gaps too. Although cluster development sharply differs even within the EU country members, and this is the case in post-transition countries, in these countries clusters have a minor economic significance. The reasons are not only in the level of economic development, but rather in the level of existing institutional and infrastructural structure that support clusters, and in the development of national and regional industrial and innovation policies. In post-transition countries, cluster development initiatives, the same as the existence of clusters differ. Cluster policies are developed in some countries, but in most of them certain crucial prerequisites to cluster development are missing. Post transition countries should provide data, tools and methods to improve the quality of cluster initiatives in accordance with the already implemented experiences in the older EU member states. In each country cluster development should be focused on the following: Producing a cluster database (mapping); Shaping cluster policy; Creating methodology for regional and industrial clusters and cluster initiatives; Stimulating development of regional cluster networks. The analysis of clusters in post-transition countries demonstrates that the lack of cooperation or partnership between the governments and business sector initiatives and actions is the major obstacle to further cluster development. In each country the strategy to cluster development should be created and based on the new partnership approach. References: Boekholt; P., Thuriaux, B. (1999), Public policies to facilitate clusters: background, rationale and policy practices in international perspective; In: OECD (1999) Boosting innovation: The Cluster Approach, Paris: OECD. Davis, C.H. (2005) Structural Model of an Innovation Cluster: The Information Technology Sector in New Brunswick; Faculty of Communication and Design; Ryerson University, Toronto; Draft for comments, 23 April 2005. Enright, M. J. (1996), Regional clusters and economic development: A research agenda; In Business Networks: Prospects for Regional Development, edited by U. H. Staber et al., Berlin: Walter de Gruy. Eisebith, M.F., Eisebith, G. (2005), How to institutionalize innovative clusters? Comparing explicit top-down and implicit bottom-up approaches, Research Policy, Volume 34, 8. Feser, J. (1998) Old and new Theories of Industry Clusters; In ed. M. Steiner: Clusters and Regional Specialisation: On Geography, Technology and networks, London: Pion, pp. 18-40. Held, J.R., (1996), Clusters as an economic development tool. Beyond the pitfalls, Economic Development Quarterly, Vol 10, No 3, pp. 249-261. European Commission (2002) Regional clusters in Europe, Observatory of European SMSs, No. 3. Jonauskis, M. (2007), Technology platforms and cluster development in Lithuania, Paper presented at International Conference: Clusters Connecting possibilities in South East Europe, April 20-21, Opatija: Ministry Of Economy, Transport and Communications of the Republic of Croatia. Available at:  HYPERLINK "http://www.migpv.rh" www.migpv.rh Lagendijk, A. (2000) Learning in Non-core Regions: Towards "Intelligent Clusters"; Addressing Business and Regional Needs; in Boekema, F., K. Morgan, S. Bakkers, Rutten, R. (Eds.), Knowledge, Innovation and Economic Growth. The Theory and Practice of Learning Regions, Edward Elgar, Cheltenham (165-191). Ketels, C. H. M. (2003) The Development of the cluster concept present experiences and further developments; Prepared for NRW conference on clusters, Duisburg, Germany, 5 Dec 2003. Ketels, Ch., (2004) European Clusters, Hagbarth Publications 2004. Ketels, C., Lindqvist, G., Slvell, . (2006) Cluster Initiatives in Developing and Transition Economies; Centre for Strategy and Competitiveness; Stockholm. Ketels, C., Slvell, . (2006) Clusters in the EU-10 New member countries; Europe Innova, Cluster Mapping; June 2006. OECD (2001) World Congress on Local Clusters: Local Networks of Enterprises in the World Economy; Issues paper; 23-24 January, 2001. Porter, M. (1990) The Competitive Advantage of Nations, Macmillan, London and Basingstone. Porter, M. (1998) Clusters and the new economics of competition; Harvard Business Review, November-December: 77-90. Porter, M. E, (2003), Building the Microeconomic Foundations of Competitiveness, in: The Global Competitiveness Report 2002-2003, World Economic Forum, New York: Oxford University Press. Rosenfeld, S.A. (2002) Creating Smart Systems A guide to cluster strategies in less favoured regions; European Union Regional Innovation Strategies, Carrboro, North Carolina, USA. Rosenfeld, S.A. (1997) Bringing Business Clusters into the Mainstream of Economic Development; European Planning Studies, 5: 3-23. WEF (various years) World Competitiveness Report, World Economic Forum, Geneva.     PAGE  PAGE 19  Clusters are geographic concentrations of interconnected companies and associated institutions in a particular field covering commodities producers, service providers, suppliers, universities and trade associations. Industries in a particular location form linkages or externalities from which clusters arise. (Porter, 2002)  Competitiveness growth is the term referring to the increases not only in profit and GDPs level of enterprises and countries, but in their overall economic and social capacities.  The European Council in Lisbon (March 2000) launched the Lisbon Strategy aimed at making the EU the most competitive economy in the world by 2010.  The term is used in the contemporary literature on the cluster. See the list of references.  The competitiveness level refers to the countrys position in global competitiveness ranking according to the methodology of the World Economic Forum.  Competitiveness level is measured according to the Global competitiveness rank. See in the World Economic Forum: World competitiveness Report, various years.  Clusters increase export, stimulate growth, employment and innovation, strengthen international cooperation and allow sustainable competitiveness. All this makes them an important tool for competitiveness building in regions and nation states.  A complete regional innovation system involves cooperation of innovative activities among organizations that broaden knowledge such as universities, five-year colleges, organisations providing educational services, research and development institutions, technology transfer agencies, business associations and financial institutions. Such organisations have capability, educated employees and provide information necessary for stimulating regional innovations. Such a regional innovation system involves i) companies from regional industrial cluster; (ii) supporting studying organisations and (iii) interaction among these participants (European Commission, 2002).  They include governmental and other institutions such as universities, think tanks, employment agencies, commercial associations, thus spreading knowledge and education of all the participants as well as information, research and technical assistance.  Latent variables: FSSR Firm strategy, structure, and rivalry; DEM Demand conditions; RSI Related and supporting industries; FAC Factor conditions; GOV Government; CH Chance.  Success of a single company depends on its capacity to protect and improve its technologies, products or design while the success of a cluster in which the company exists depends on something completely different the range of diffusion, approach to innovations, information and creating new companies in the place of the old ones.  Initiatives for cluster development identify projects for cluster development i.e. cluster organisations. Every organised effort to increase cluster competitiveness constitutes an initiative for cluster development. Such initiatives may be focused on one single cluster or may constitute a part of a broader regional or national competitiveness strategy (Ketels, Lindiqvist, Slvell, 2006, 9). The range of an initiative for cluster development is measured by a number of companies actively participating in that cluster (Ketels, Lindiqvist, Slvell, 2006, 19).  Marshall's term industrial district refers to districts: (i) clear socio-economic structure (a large number of entrepreneurs and employees in small-sized companies, employed women, young employees etc.) and (ii) dominant production specialization (European Commission, 2002, 21).  The cited data are derived from the Global Cluster Initiative Survey GCIS, carried out in 2005. The survey identified 1400 cluster development initiatives worldwide where the survey was carried out. (Ketels, Lindiqvist, Slvell, 2006, 13).  In the Global Cluster Initiative Survey strength was measured according to rivalry, market share, economic significance, business environment, position in competition, maturity of a cluster and innovation capabilities (Ketels, Lindiqvist, Slvell, 2006, 16).  For instance, in Slovenia the business sector is also strong in initiatives.  NUTS-Nomenclature of Territorial Units for Statistics. For more details please see the Eurostat web page:  HYPERLINK "http://europa.eu.int/comm/eurostat/ramon/nuts/splash_regions.html" http://europa.eu.int/comm/eurostat/ramon/nuts/splash_regions.html. According to the aforementioned classification the distribution at the level NUTS 1 denotes a country, the distribution at the level NUTS 2 constitutes macro-regions and the distribution at the level NUTS 3 micro-regions. When small-sized countries are concerned in terms of their population size and area the distribution at the level NUTS 2 signifies a country. In the EU 10 Cyprus, Malta, Estonia, Lithuania, Latvia and Slovenia are regarded as such.  The Cluster development program was launched in 1999 when extensive studies and analysis on the identification of networks and relationships within the economy were conducted. Mapping of potential clusters was carried out. Study results showed that cooperation and networking between companies was weak and infrastructure required for stimulating the whole process was only in the beginning. The first conclusion was that there were no clusters in Slovenia.  For more details please look at:  HYPERLINK "http://weforum.org/" http://weforum.org/.  ( HYPERLINK "http://www.infobalt.lt" www.infobalt.lt) Figure 1. Porter Diamond cluster model  Source: Davis (2005). Figure 2. The type of initiators  Source: Ketels, Lindiqvist, Slvell, 2006, 13. Figure 3. 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