Regionalne aspekty rozwoju klastrowania w branży mleczarskiej
DOI:
https://doi.org/10.2478/cer-2019-0034Słowa kluczowe:
klaster, gospodarka wiejska, mechanizmAbstrakt
Artykuł prezentuje wyniki analizy klasycznego i nowoczesnego podejścia do tworzenia regionalnych klastrów rolno‑przemysłowych. W obecnych warunkach rynkowych utworzenie klastra w oparciu o istniejącą infrastrukturę regionalną jest niepraktyczne. W większości przypadków klastrami nazywane są struktury holdingowe obejmujące pełny cykl produkcji, przetwarzania i wprowadzania do obrotu produktów rolnych, na przykład „klastry mleczne” – istnieją tradycyjne grupy firm, które formalnie posiadają klasyczne cechy klastra, ale nie dają poszczególnym uczestnikom procesu produkcyjnego wystarczającej autonomii organizacyjnej i prawnej. Zbadano warunki rozwoju innowacji w klastrze, a także mechanizm tworzenia komponentu naukowego i innowacyjnego klastra jako nowopowstałego pełnoprawnego elementu klastra. Wskazano, że klaster powinien być tworzony z zachowaniem podstawowych zasad organizacyjnych i ekonomicznych. W szczególności, podczas gdy w holdingach wynik ekonomiczny działalności służy osiągnięciu celów spółki dominującej, w klastrze należy położyć maksymalny nacisk na wynik i zaspokojenie interesów ekonomicznych wszystkich jego uczestników. Co więcej, zastosowanie klasycznego podejścia do rozwoju klastrów w obecnych warunkach rynkowych może nie być możliwe, a lepsza będzie koncepcja rozwoju klastra przedstawiona przez autora.
Pobrania
Bibliografia
Albino, V., Carbonara, N., Giannoccaro, I. (2003), Coordination mechanisms based on cooperation and competition within industrial districts: An agent‑based computational approach, “Journal of Artifical Societies and Social Simulation”, SimSoc Consortium, United Kingdom, Vol. 6 (4).
Google Scholar
Amin, A., Thrift, N. (1996), Globalization, Institutions, and Regional Development in Europe, “European Urban and Regional Studies”, Oxford University Press, Oxford.
Google Scholar
Andersson, T., Schwaag‑Serger, S., Sorvik, J., Hansson, E.W. (2004), The Cluster Policies Whitebook, International organisation for knowledge economy and enterprise development, Malmö, Sweden.
Google Scholar
Barkley, D., Henry, M. (2001), Advantages and Disadvantages of Targeting Industry Clusters (REDRL research report 09–2001–01) Regional Economic Development Laboratory, Clemson University, USA.
Google Scholar
Becattini, G. (1990), The Marshallian industrial district as a socio‑economic notion, [in:] Pyke F., Becattini G., Sengenberger W. (eds.), Industrial Districts and Inter‑firm Cooperation in Italy, International Institute for Labour Studies, Geneva.
Google Scholar
Bergman, E.M., Feser, E.J. (1999), Industrial and Regional Clusters: Concepts and Comparative Applications, Regional Research Institute, WVU, Morgantown.
Google Scholar
Bergsman, J., Greenston, P., Healy, R. (1975), A classification of economic activities based on location patterns, “Jounal of Urban Economics”, Elsevier, Vol. 2 (1).
Google Scholar
Borrelli, F., Ponsiglione, C., Iandoli, L., Zollo, G. (2005), Inter‑organizational learning and collective memory in small firms clusters: An agent‑based approach, “Journal of Artificial Societies and Social Simulation”, SimSoc Consortium, United Kingdom, Vol. 8 (3).
Google Scholar
Brenner, T. (2000), The Evolution of Localised Industrial Clusters: Identifying the Processes of Self‑Organisation, “Papers on Economics & Evolution, Jena”, Max‑Planck‑Institute, Berlin.
Google Scholar
Brenner, T. (2000), Industrial Districts: A Typology from an Evolutionary Perspective, “DRUID’s Summer 2000 Conference”, Rebild, Denmark.
Google Scholar
Brenner, T. (2001), Simulating the evolution of localised industrial clusters – an identification of the basic mechanism, “Journal of Artificial Societies and Social Simulation”, SimSoc Consortium, United Kingdom, Vol. 4 (3).
Google Scholar
Brenner, T., Emmrich, C., Schlump, C. (2013), Regional Effects of a Cluster‑Oriented Policy Measure – The Case of the InnoRegio Program in Germany, Philipps‑Universität, Marburg.
Google Scholar
Campbell, J. (1974), Selected aspects of the interindustry structure of the state of Washington, “Economic Geography”, Taylor & Francis, Ltd., Vol. 50, No. 1.
Google Scholar
Ecotec Research & Consulting (2001), A Practical Guide to Cluster Development. “A Report to the Department of Trade and Industry and the English RDAs”, Ecotec Research & Consulting, United Kingdom.
Google Scholar
Enright, M. (1996), Regional Clusters and Economic Development: A Research Agenda, [in:] Staber, U., Schaefer, N. and Sharma, B., (eds.), Business Networks: Prospects for Regional Development, Walter de Gruyter, Berlin.
Google Scholar
Enright, M. (2000), Survey on the Characterization of Regional Clusters: Initial Results (Working Paper), Institute of Economic Policy and Business Strategy: Competitiveness Program University of Hong Kong and the Competitiveness Institute Barcelona, Spain.
Google Scholar
Europe INNOVA (2008), The Concept of Clusters and Cluster Policies and Their Role for Competitiveness and Innovation: Main Statistical Results and Lessons Learned (Pro INNO Europe paper No. 9), Office for Official Publications of the European Communities, Luxembourg.
Google Scholar
Fagiolo, G., Pyka, A. (2005), Аgent‑Based Modelling: A Methodology for NeoSchumpeterian Economics, Beitrag Nr. 272, Augsburg.
Google Scholar
Feldman, M.P., Francis, J., Bercovitz, J. (2005), Creating a Cluster While Building a Firm: Entrepreneurs and the Formation of Industrial Clusters, “Regional Studies”, Taylor & Francis, Ltd., Vol. 39, Issue 1.
Google Scholar
Feser, E.J., Sweeney, S.H. (2002), Theory, methods, and a cross‑metropolitan comparison of business clustering [in:] P. McCann (ed.), Industrial Location Economics, Edward Elgar Publishing, Cheltenham.
Google Scholar
Florida, R. (1995), Toward the Learning Region, “Futures”, Elsevier Science Ltd, United Kingdom, Vol. 27 (5).
Google Scholar
Freeman, C. (1987), Technology Policy and Economic Performance: Lessons from Japan. Pinter, London.
Google Scholar
Future Cities (2010) Strategic Clusters in North West Europe, Future Cities Mid‑term conference, Essen.
Google Scholar
Giardina, I., Bouchaud, J. (2003), Volatility clustering in agent based market models, “Physica A: Statistical Mechanics and its Applications”, Elsevier Science Ltd, United Kingdom, Vol. 324, Issues 1–2.
Google Scholar
Hausmann, R., Rodrik, D., Velasco, A. (2006), Getting the Diagnosis Right, “Finance & Development”, International monetary fund, Vol. 43 (1).
Google Scholar
Hayek, F.A. (1945), The Use of Knowledge in Society, “American Economic Review”, American Economic Association, USA, Vol. 35 (4).
Google Scholar
Iammarino, S., McCann, Ph. (2006), The Structure and Evolution of Industrial Clusters: Transactions, Technology and Knowledge Spillovers, “Research Policy”, Elsevier Science Ltd., United Kingdom, Vol. 35 (7).
Google Scholar
Johnston, R. (2003), Clusters: A Review. Mapping Australian Science and Innovation, Australian Centre for Innovation, Sydney.
Google Scholar
Ketels, C., Lindqvist, G., Sölvell, Ö. (2006), Cluster Initiatives in Developing and Transition Economies, Center for Strategy and Competitiveness, Stockholm.
Google Scholar
Kim, Ch.‑W., Lee, K. (2003), Innovation, Technological Regimes and Organizational Selection in Industry Evolution: A “History Friendly Model” of the DRAM industry, “Industrial and Corporate Change”, Oxford: Oxford Univ. Press, Vol. 12 (6).
Google Scholar
Lindqvist, G., Ketels, C., Sölvell, Ö. (2003), The Cluster Initiative Greenbook, Ivory Tower, Stockholm.
Google Scholar
Lundvall, B.‑Å., (1993), Explaining Interfirm Cooperation and Innovation: Limits of the Transaction‑Cost Approach, [in:] Grabher, G. (ed.), The Embedded Firm, Routledge, London.
Google Scholar
Lundvall, B.‑Å, Borras, S. (1997), The Globalising Learning Economy: Implications for Innovation Policy, Commission of the European Union, Brussels.
Google Scholar
Martin, R., Sunley, P. (2003), Deconstructing Clusters: Chaotic Concept or Policy panacea? “Economic Geography”, Taylor & Francis, Ltd., Vol. 3 (1).
Google Scholar
OECD (1999), Boosting Innovation: The Cluster Approach. OECD, Paris
Google Scholar
OECD (2007), Competitive Regional Clusters: National Policy Approaches. OECD, Brussels.
Google Scholar
Porter, M. (2003), The economic performance of regions, “Regional Studies”, Taylor & Francis, Vol. 37, No. 6/7.
Google Scholar
Porter, M. (2003), San Diego: Clusters of Innovation Initiative, MA: Monitor Group, Cambridge.
Google Scholar
Porter, M.E. (1990), The Competitive Advantage of Nations, New York: Free Press, New York.
Google Scholar
Porter, M.E. (1998), On Competition, Harvard Business School Press, Boston.
Google Scholar
Porter, M.E. (2005), Cluster Mapping Project, Strategy and Competitiveness, Harvard Business School, Cambridge.
Google Scholar
PRO INNO Europe (2008), The concept of clusters and cluster policies and their role for competitiveness and innovation: main statistical results and lessons learned. Office for Official Publications of the European Communities, Luxembourg.
Google Scholar
Pyke, F., Becattini, G, Sengenberger, W. (1990), Industrial Districts and Interfirm Co‑operation in Italy, International Institute for Labour Studies, Geneva.
Google Scholar
Quah, D., Simpson, H. (2003), Spatial Cluster Empirics. LSE Economics Department and Institute for Fiscal Studies, London.
Google Scholar
Raines, P. (2000), Developing Cluster Policies in Seven European Regions, Regional and Industrial Policy Research Paper, Glasgow, United Kingdom.
Google Scholar
Roelandt, T., den Hertog, P. (1999), Cluster Analysis and Cluster‑Based Policy, OECD, Paris.
Google Scholar
Roepke, H., Adams, D., and Wiseman, R. (1974), A New Approach to the Identification of Industrial Complexes Using Input‑Output Data, “Journal of Regional Science”, University of Pennsylvania, USA, Vol. 14, Issue 1.
Google Scholar
Rosenfeld, S. (1995), Industrial Strength Strategies: Regional Business Clusters and Public Policy, Aspen Institute, Washington, DC.
Google Scholar
Rosenfeld, S. (1997), Bringing Business Clusters into the Mainstream of Economic Development, “European Planning Studies”, Taylor & Francis, Vol. 5 (1).
Google Scholar
Rosenfeld, S. (2002), A Governor’s Guide to Cluster‑Based Economic Development, National Governor’s Association, Washington, D.C.
Google Scholar
Rosenfeld, S. (2002), Creating Smart Systems: A Guide to Cluster Strategies in Less Favoured Regions, European Union, Brussels.
Google Scholar
Rosenthal, S., Strange, W. (1999), Geography, Industrial Organization, and Agglomeration, Maxwell School of Public Policy, Syracuse.
Google Scholar
Scott, A. (1998), Regions and the World Economy, Oxford University Press, Oxford.
Google Scholar
Sengenberger, W., Loveman, G.W., Piore, M.J. (1990), The Re‑emergence of Small Enterprises: Industrial Restructuring in Industrialized Countries, International labour organization, Geneva.
Google Scholar
Tesfatsion, L. (2005), Agent‑based computational economics: a constructive approach to economic theory, Economics Department, Iowa State University, Ames, IA.
Google Scholar
Van Dijk, M.P., Sverrisson, A. (2003), Enterprise clusters in developing countries: mechanisms of transition and stagnation, “Entrepreneurship & Regional Development”, Taylor & Francis, Vol. 15, No. 3.
Google Scholar
Vang, J., Chaminade, C. (2006), Building RIS in Developing Countries: Policy Lessons from Bangalore, India, Lund University, Sweden, Vol. 02.
Google Scholar
Williams, I. (2010), Cluster Basics: Cluster Development in Twelve Steps, 14th TCI Global Congeferce, Auckland.
Google Scholar
Wilson, E.J. III. (2012), How to Make a Region Innovative. “Strategy+Business”, PwS network, Issue 66.
Google Scholar
Yoon, M., Lee, K. (2009), Agent‑based and “History‑Friendly” Models for Explaining Industrial Evolution, “Evolutionary and Institutional Economics Review”, Springer, Vol. 6 (1).
Google Scholar
Zhang, J. (2003), Growing Silicon Valley on a landscape: An agent‑based approach to hightest industrial clusters, “Journal of Evolutionary Economics”, Springer, No. 13.
Google Scholar
Pobrania
Opublikowane
Jak cytować
Numer
Dział
Licencja
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Użycie niekomercyjne – Bez utworów zależnych 4.0 Międzynarodowe.