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Spatial concentration of economic activity and competitiveness of Central European regions

Abstract

The paper tackles with a still somewhat underdeveloped aspect of regional competiveness which regards to spillover effects stemming from spatial proximity of highly competitive neighbors. Although spillover effects are well recognized in the literature, we focus more on inter-regional concentration of business activity when enterprises are located in a particular district which is not far from the agglomeration center but not the center itself.

We check for statistical significance of spatial autocorrelation measures (local Moran’s Ii statistic) in order to identify spillovers between districts in Central European countries (Germany, Poland, Czech Republic and Slovakia). We use variables indicating Knowledge Intensive Services (KIS), in particular hi-tech KIS and information and communication services (including computer science). We compare 2009 with 2015 to notice agglomeration dynamics.

We observe statistically significant spillover effects in Central European countries in urbanization-type clusters as well as strengthening of the effect over time. Taking into consideration more detailed data for Poland we conclude that while hi-tech KIS mostly spill over to neighboring districts, the reverse pattern may be observed for computer science (programming and consultancy). One explanation is that this subsector relies on highly demanded workforce and a prestigious localization (in the agglomeration centers) works as a bargaining chip to attract programmers.

In order to measure the spillover effects more precisely it is recommended to define and measure the neighborhood of agglomeration centers using localization of firms based on GPS coordinates instead of centroids (geometric means) of districts – as shown in example of Poland.

Keywords

spatial agglomeration, spillover, regional competitiveness, KIS, Central European countries.

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References

  1. Ács, Z. J. (2002). Innovation and the growth of cities. Cheltenham, UK, Northampton, MA: Edward Elgar.
  2. Ács, Z. J. (2005). Innovation and the growth of cities, in P. Nijkamp (ed.) Urban Dynamics and Growth: Advances in Urban Economics (Contributions to Economic Analysis, Volume 266). Emerald Group Publishing Limited, 635-658, DOI: 10.1108/S0573-8555(2005)0000266021.
  3. Alves, J. (2007). Creativity and Innovation through Multidisciplinary and Multisectoral Cooperation. Journal compilation 16 (1), 27-34.
  4. Amit, R., & Zott, Ch. (2001). Value creation in e-business. Strategic Management Journal 22, 493-520.
  5. Anselin, L. (1995). Local indicators of spatial association – LISA. Geographical Analysis, 27, 93-115.
  6. Anselin, L. (2010). Thirty years of spatial econometrics. Papers in Regional Science, 89, 3-25.
  7. Aralica, Z., Račić, D., & Radić D. (2005). Innovation Propensity in Croatian Enterprises Results of the Community Innovation Survey [iweb.cerge-ei.cz].
  8. Asheim, B., Gertler, M., (2004). Understanding regional innovation systems, in: J. Fagerberg, et.al. (eds) Handbook of Innovation. Oxford.
  9. Baum, J.A.C, & Haveman, H.A. (1997). Love by neighbor? Differentiation and agglomeration in the Manhattan hotel industry, 1898-1990. Administrative Science Quarterly, 42, 304-338.
  10. Beaudry, C. & Schiffauerova, A. (2009). Who’s right, Marshall or Jacobs? The localization versus urbanization debate. Research Policy, 38, 318-337.
  11. Brodzicki, T. & Kuczewska, J. (Eds.). (2012). Klastry i polityka klastrowa w Polsce. Konkurencyjność przedsiębiorstw, sektorów i regionów [Clusters and cluster policy in Poland. The competitiveness of companies, sectors and regions]. Gdańsk: Wydawnictwo Uniwersytetu Gdańskiego.
  12. Chesbrough, HW, & Garman, A.R. (2009). How open innovation can help you cope in lean times, Harvard Business Review, 87(12), 68–76.
  13. Cohen, W. & Levinthal, D. (1990). Absorptive Capacity: A New Perspective of Learning and Innovation. Administrative Science Quarterly 35, 128-152.
  14. Crouch, G. I., & Ritchie, J. R. B. (2005). The competitive destination: a sustainable tourism perspective, London: CABI.
  15. Czarnitzki, D., & Spielkamp, A. (2003). Business services in Germany: Bridges for innovation. The Service Industries Journal, 23, 1-30.
  16. den Hertog, P. (2000). Knowledge-intensive business services as co-producers of innovation. International Journal of Innovation Management, 4(4), 491-528.
  17. Duranton G., & Puga D., 2004, Microfoundations of urban agglomeration economies. In V. Henderson, & J. F. Thisse (eds.). Handbook of Regional and Urban Economics 4, (pp. 2063–2117). Amsterdam: North Holland.
  18. Dwyer, L., & Kim, C. (2003). Destination competitiveness: Determinants and Indicators. Current Issues in Tourism, 6(5), 369-413.
  19. Ellison, G., Glaeser, E.L., & Kerr, W. (2007). What causes industry agglomeration? Evidence from coagglomeration patterns. Harvard Business School Working Papers, no. 07-064.
  20. Enright, M. J., & Newton, J. (2004). Tourism destination competitiveness: a quantitative approach. Tourism Management 25, 777-788.
  21. Eurostat Statistics Explained (2016). http://ec.europa.eu/eurostat/statistics-explained/index.php/Information_and_communication_service_statistics_-_NACE_Rev._20 [access: 02.11.2016].
  22. Getis, A., & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206.
  23. Gorynia, M., & Łaźniewska, E. (Ed.) (2009). Kompendium wiedzy o konkurencyjności [Compendium of knowledge on competitiveness]. Warszawa: Wydawnictwo Naukowe PWN.
  24. Griffith, D.A. (1996). Some guidelines for specifying the geographic weights matrix contained in spatial statistical models. Practical handbook of spatial statistics, Boca Raton: CRC Press.
  25. GUS (2015). Analiza walorów turystycznych powiatów i ich bezpośredniego otoczenia na podstawie danych statystycznych m.in. z zakresu bazy noclegowej, kultury i dziedzictwa narodowego oraz przyrodniczych obszarów chronionych [Analysis of tourist attractiiveness of districts and their proximate neighborhood on the basis of statistical data on, among others, accommodation, culture and national heritage, and natural protected areas], Warszawa: Centrum Badań i Edukacji Statystycznej GUS.
  26. Hall, C. M. (2007). Tourism and Regional Competitiveness. In J. Tribe, & D. Aivey (Ed.). Developments in Tourism Research, Elsevier.
  27. Hoover, E. (1936). Location theory and the shoe and leather industries. Cambridge, MA: Harvard University Press.
  28. Jacobs, J. (1969). The economy of cities. New York: Random House.
  29. Knoben, J. (2009). Localized inter-organizational linkages, agglomeration effects, and the innovative performance of firms. The Annals of Regional Science, 43, 757-779.
  30. Kolko, J. (2010). Urbanization, agglomeration, and coagglomeration of service industries. NBER chapters. In Agglomeration economics (pp. 151-180), Cambridge, MA: National Bureau of Economic Research.
  31. Kopczewska, K. (2011). Ekonometria i statystyka przestrzenna z wykorzystaniem program R CRAN [Econometrics and spatial statistics using the R CRAN software]. Warszawa: CeDeWu.
  32. Krugman, P. (1991). Increasing returns and economic geography, Journal of Political Economy, 99(3), 483-499.
  33. Kubielas, S. (2009). Innowacje i luka technologiczna w gospodarce globalnej opartej na wiedzy [Innovation and technological gap in the global knowledge-based economy], Warszawa: Wydawnictwo Uniwersytetu Warszawskiego.
  34. Lloyd, C.D. (2010). Spatial data analysis: an introduction for GIS users, Oxford, New York: Oxford University Press.
  35. Majewska, J.(2015). Inter-regional agglomeration effects in tourism in Poland. Tourism Geographies,17(3), 407-435.
  36. Markowski, T. (1999). Zarządzanie rozwojem miast [Managing urban development]. Warszawa: Wydawnictwo Naukowe PWN.
  37. Marshall, A. (1920). Principles of economics. London: Macmillian.
  38. Miles, I., Kastrinos, N. Bilderbeek R., den Hertog, P., Flanagan, K., Huntink, W., & Bouman. M. (1995). Knowledge-intensive Business Services. Users, Carriers and Sources of Innovation. Ľ EIMS Publication 15, Brussels: European Commission.
  39. Mora, T., & Moreno, R. (2010). Specialization changes in European regions: the role played by externalities across regions. Journal of Geographical Systems, 12, 311-334. DOI: 10.1007/s10109-009-0098-4.
  40. Muller, E. & Zenker, A. (2001). Business services as actors of knowledge transformation: The role of KIBS in regional and national innovation systems, Research policy, 30(9), 1501-1516.
  41. Nawrot, Ł., & Zmyślony, P. (2009). Międzynarodowa konkurencyjność regionu turystycznego. Od programowania rozwoju do zarządzania strategicznego [International competitiveness of the tourist region. From programming to the development of strategic management]. Kraków: PROKSENIA.
  42. Ohlin, B. (1933). Interregional and international trade, Cambridge: Harvard University Press.
  43. Ord, J. K., & Getis, A. (1995). Local Spatial Autocorrelation Statistics: distributional issues and an application. Geographical Analysis, 27(4), 286-306.
  44. Ottaviano, G. I. P. (2011). “New” new economic geography: firm heterogeneity and agglomeration economies, Journal of Economic Geography, 11, 231-240.
  45. Páez, A., & Scott, D.M. (2004). Spatial statistics for urban analysis: A review of techniques with examples. GeoJournal, 61, 53-67.
  46. Prager, J-C. & Thisse, J-F. (2012). Economic geography and the unequal development of regions, London and New York: Routledge.
  47. Rodríguez-Victoria, O.E., Puig, F., & Gonzlez-Loureiro, M. (2016, June). Clustering, innovation and hotel competitiveness: evidence from emerging markets. XXX Congreso Nacional de Acede, Junio 2016, Vigo.
  48. Rothwell, R. (1992). Successful industrial innovation: Critical factors for the 1990s,
  49. R & D Management, 22(3), 221–240.
  50. Schabenberger, O., & Gotway, C. A. (2005). Statistical Methods for Spatial Data Analysis: Texts in Statistical Science. Boca Raton: Chapman & Hall/CRC.
  51. Schaper, M. & Volery, T. (2007). Entrepreneurship and Small Business. 2nd Pacific Rim Edition, Australia: Wiley.
  52. Shu-Mei Tseng (2009). A study on customer, supplier, and competitor knowledge using the knowledge chain model, International Journal of Information Management, 29, 488-496.
  53. Sørensen, F. (2007). The geographies of social networks and innovation in tourism. Tourism Geographies, 9(1), 22-48.
  54. Vanhove, N. (2011). The Economics of Tourism Destinations (Second Edition). London: Elsevier.
  55. Vilaseca-Requena, J, J. Torrent-Sellens, & A. Jimenez-Zarco (2007). ICT use in marketing as innovation success factor. European Journal of Innovation Management 10(2), 268-288.
  56. Vinding, A. (2002). Interorganizational Diffusion and Transformation of Knowledge in the Process of Product Innovation, PhD Thesis IKE Group/DRUID, Department of Business Studies, Aalborg University.
  57. Weidenfeld, A., Williams, A. M., & Butler, R.W. (2010). Knowledge transfer and innovation among attractions. Annals of Tourism Research, 37(3), 604-626. doi: 10.1016/j.annals.2009.12.001.
  58. Wolfe, D. (2009). Introduction: embedded clusters in a global economy. European Planning Studies, 17, 179–187.
  59. Yang, Y., & Fik, T. (2014). Spatial effects in regional tourism growth. Annals of Tourism Research, 46, 144-162.
  60. Yang, Y., & Wong, K. K. F. (2013). Spatial distribution of tourist flows to China’s Cities. Tourism Geographies: An International Journal of Tourism Space, Place and Environment, 15(2), 338-363, doi: 10.1080/14616688.2012.675511.
  61. Yang, Y., Fik, T.J, & Zhang, H. (2016). Designing a Tourism Spillover Index Based on Multidestnation Travel: A Two-Stage Distance-Based Modeling Approach. Journal of Travel Research, 1-17. doi: 10.1177/0047287516641782.

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