A sectoral hierarchical clustering of SMEs in Turkey with respect to general support programs

Review of European Studies

Volumn 5, Issue 5, 2013, Pages 84-96

  Çelik, Ali Kemal ^a   Talaş, Emrah ^a   Akbaba, Ahmet İlker ^a  

^a ATATÜRK UNIVERSITY   (Turkey)

Author keywords

Hierarchical clustering analysis; KOSGEB; SME; Support programs; Turkey

Indexed keywords

EID: 84920277538     PISSN: 19187173     EISSN: 19187181     Source Type: Journal    
DOI: 10.5539/res.v5n5p84     Document Type: Article

References (41)

1. Aldenderfer, M. S., & Blashfield, R. K. (1984). Cluster analysis. Beverley Hills, CA: Sage Publications, Inc.
2. Altenburg, T., & Meyer-Stamer, J. (1999). How to promote clusters: Policy experiences from Latin America, World Development, 27(9), 1693-1713. http://dx.doi.org/10.1016/S0305-750X(99)00081-9
3. Berry, A., Rodriguez, E., & Sandee, H. (2001). Small and medium enterprised dynamics in Indonesia. Bulletin of Indonesian Economic Studies, 37(3), 363-384. ttp://dx.doi.org/10.1080/00074910152669181
4. Braun, P., McRae-Williams, P., & Lowe, J. (2005). Small business clustering: Accessing knowledge through local network. Paper presented at the CRIC conference Beyond Cluster- Current Practices & Future Strategies, June 30-July 1, in Ballarat, Australia.
5. Brenner, T. (2005). Local industrial clusters: Existence, emergence and Evolution. New York: Routledge Taylor & Francis Press.
6. Bresnahan, T., Gambardella, A., & Saxenian, A. L. (2005). “Old economy” inputs for “new economy” outcomes: Cluster formation in the New Silicon Valleys. S. Breschi, & F. Malerba (Eds.), Clusters, Networks and Innovation (pp. 113-134). New York: Oxford University Press.
7. Bridges, C. C. Jr (1966). Hierarchical cluster analysis. Psychological Reports, 18, 851-854. http://dx.doi.org/10.2466/pr0.1966.18.3.851
8. Boulding, K. E. (1991). What is evolutionary economics? Journal of Evolutionary Economics, 1(1), 9-17. http://dx.doi.org/10.1007/BF01202334
9. Chen, X., & Cao, L. (2006). SME clusters in China-One way to build up innovation capabilities. United Nations ESCAP. July-August 2006.
10. Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Multivariate statistics for social sciences: Applications of SPSS and Lisrel. Ankara: Pegem Academy.
11. de Hoon, M., Imoto, S., & Miyano, S. (2010). The C clustering library.Tokyo: University of Tokyo
12. Dosi, G., & Nelson, R. R. (1994). An introduction to evolutionary theories in economics. Journal of Evolutionary Economics, 4(3), 153-172. http://dx.doi.org/10.1007/BF01236366
13. Ferreira, M. P., Tavares, A. T., & Hesterly, W. (2006). Evolution of industry clusters through spin-offs and the role of flagship firms. In A. T. Tavares, & A. Teixeira (Eds.), Multinationals, Clusters and Innovation (pp. 87-106). New York: Palgrave Macmillan Press.
14. Hardle, W., & Simar, L. (2007). Applied multivariate statistical analysis. New York: Springer Berlin Halderberg.
15. Izenmann, A. J. (2008). Modern multivariate statistical techniques: Regression, classification and manifold learning. Philadelphia: Springer Science+Business Media, LLC.
16. Johnson, R. A., & Wichern, D. W. (2007). Applied multivariate statistical analysis. New Jersey: Pearson Education Inc.
17. Kalaycı, Ş. (2006). Multivariate statistical techniques using SPSS. Ankara: Baran Offset.
18. Kaplan, M. (2009). SMEs and clusters. MÜSİAD Çerçeve Dergisi, 17(51), 12-14. Retrieved from http://www.musiad.org.tr/img/yayinlarraporlar/cerceve_dergisi_51_03.pdf
19. Keeble, D., & Nachum, L. (2002). Why do business service firms cluster? Small consultancies, clustering and decentralization in London and southern England. Transactions of the Institute of British Geographers, 27(1), 67-90. http://dx.doi.org/10.1111/1475-5661.00042
20. Ketels, C. H. M., & SOlvell, O. (2006). Innovation clusters in the 10 new member states of the European Union. Europe Innova Paper No. 1, Luxembourg: Office for Official Publications of the European Communities.
21. Lambooy, J. G., & Boschma, R. A. (2001). Evolutionary economics and regional policy. The Annals of Regional Science, 35(1), 113-131. http://dx.doi.org/10.1007/s001680000033
22. Landau, S., & Everitt, B. S. (2004). A handbook of statistical analyses Using SPSS. London: Chapman & Hall/CRC Press LLC.
23. Metcalfe, J. S. (1994). Evolutionary economics and technology policy. The Economic Journal, 104(425), 931-944. Retrieved from http://www.jstor.org/stable/2234988
24. Nordin, S. (2003). Tourism clustering & innovation: Paths to economic growth & development. European Tourism Research Institute Series 2003:14 Ostersund: ETOUR
25. Ozdamar, K. (1999). Statistical data analysis using package programs: Multivariate Analyses-2. Eskişehir: Kaan Publishing.
26. Porter, M. E. (1990). The competitive advantage of nations. Free Press. Porter, M. E. (2000). Systems of innovation: Growth, competitiveness and employment. Cheltenham: Edward Elgar Publishing Limited.
27. Rencher, A. C. (2002). Methods of multivariate analysis. New York: John Wiley & Sons, Inc.
28. Republic of Turkey Ministry of Economy. (2011). SME Networking Project Executive Summary. Ankara.
29. Republic of Turkey Small and Medium Enterprises Development Organization. (2013). Vision/Mission. Retrieved September, 2013, from http://www.kosgeb.gov.tr/Pages/UI/Baskanligimiz.aspx?ref=71
30. Republic of Turkey Undersecretariat of Foreign Trade. (2008). White Book: Development of a clustering policy for Turkey. Ankara.
31. Rocha, H. O., & Sternberg, R. (2005). Entrepreneurship: The role of clusters theoretical perspectives and empirical evidence from Germany. Small Business Economics, 24(3), 267-292. http://dx.doi.org/10.1007/s11187-005-1993-9
32. Shapira, P. (2008). Putting innovation in place: Policy strategies for industrial services, regional Clusters, and manufacturing SMEs in Japan and the United States. Prometheus: Critical Studies in Innovation, 26(1), 69-87. http://dx.doi.org/10.1080/08109020701846041
33. Sharma, S. (1996). Applied multivariate techniques. New York: John Wiley & Sons, Inc.
34. Su, M., & Chou, C. (2001). A modified version of the K-Means algorithm with a distance based on cluster symmetry. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6), 674-680. http://dx.doi.org/10.1109/34.927466
35. Tatlıdil, H. (2002). Applied multivariate statistical analysis. Ankara: Ziraat Press. UNIDO. (2001). Development of clusters and networks of SMEs: The UNIDO Programme. Vienna: UNIDO.
36. Visser, E. (1999). A comparison of clustered and dispersed firms in the small-scale clothing industry of Lima. World Development, 27(9), 1553-1570. http://dx.doi.org/10.1016/S0305-750X(99)00077-7
37. Ward, J. H.Jr (1963). Hierarchical grouping to optimise an objective function. Journal of the American Statistical Association, 58, 236-244. Retrieved from http://iv.slis.indiana.edu/sw/data/ward.pdf
38. Wever, E., & Stam, E. (1999). Clusters of high technology SMEs: The Dutch case. Regional Studies, 33(4), 391-400. http://dx.doi.org/10.1080/713693556
39. Wishart, D. (1969). An algorithm for hierarchical classification. Biometrics, 25(1), 165-170. Retrieved from http://www.jstor.org/stable/2528688
40. Xu, R., & Wunsch II, D. C. (2009). Clustering. New Jersey: IEEE Press.
41. Yaylalı, M., Oktay, E., & Akan, Y. (2006). Clustering of Turkish geographical regions and sectors of GDP with respect to per capita income. Atatürk University Journal of Graduate School of Social Sciences, 8(2), 311-334. Retrieved from http://e-dergi.atauni.edu.tr/index.php/SBED/article/view/368/362