BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

BazEkon home page

Meny główne

Autor
Zawisza Mateusz (Warsaw School of Economics, Poland), Kamiński Andrzej (Warsaw School of Economics, Poland), Jakuczun Wit (Warsaw School of Economics, Poland), Gładysz Agnieszka (Urząd Komunikacji Elektronicznej)
Tytuł
Composite Evaluation of Broadband Internet Access in Poland
Źródło
Multiple Criteria Decision Making / University of Economics in Katowice, 2013, vol. 8, s. 160-177, rys., bibliogr. 45 poz.
Słowa kluczowe
Internet, Rozwój lokalny, Rozwój regionalny, Dostęp do informacji
Internet, Local development, Regional development, Access to information
Uwagi
summ.
Abstrakt
The level of access to Internet is constantly evaluated and promoted by electronic communications regulators around the world. The issue is especially important in countries, such as Poland, where where Internet access is highly heterogenous among local markets. The objective of this paper is to identify socio-economic factors that influence the level of Internet access in local communities (gminas) in Poland. The definition of Internet access involves multiple criteria and encompasses in particular its availability, adoption, speed, quality of service and price. In the paper we propose a two-phase approach to a comparison of Internet access in various gminas. First we use Data Envelopment Analysis (DEA) to evaluate Internet broadband access depending on their demographic characteristics based on data from 2010 and 2011 collected by Poland's Office of Electronic Communications (UKE). In the second stage we explain the obtained DEA effectiveness indices using supervised learning techniques with the socio-economic status of the community as explanatory variables. We show that in the period under study rural communities experienced greater Internet access improvement than urban communities, therefore catching up with large cities and reducing technological gap. Moreover, we identify drivers of broadband Internet advancement, including: community type, community education and age structure, computerization level in schools and Herfindahl-Hirschman competition index. We show that an effective regulation may foster the advancement of fixed-location broadband Internet access. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej w Warszawie
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu
Pełny tekst
Pokaż
Bibliografia
Pokaż
  1. Alfonso A., Fernandes S. (2008), Assessing and Explaining the Relative Efficiency of Local Government, The Journal of Socio-Economics, Vol. 37.
  2. Badasyan N., Shideler D., Silva S. (2011), Broadband Achievement Index. Moving Beyond Availability', Telecommunications Policy.
  3. Bogetoft P., Otto L. (2011), Benchmarking with DEA, SFA, andR, Springer.
  4. Bresnahan T., Trajtenberg M. (1995), General Purpose Technologies Engines of Growth? Journal of Econometric, Vol. 65, No. 1.
  5. Brockett P., Charnes A., Cooper W., Huang Z., Sun D. (1997), Data Transformations in DEA Cone Ratio Envelopment Approaches for Monitoring Bank Performances, European Journal of Operational Research, Vol. 98, No. 2.
  6. Charnes A., Cooper W., Rhodes E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research.
  7. Commision of EC (2008), Indexing Broadband Performance, The European Communities.
  8. Cooper W., Seiford L., Tone K. (2006), Introduction to Data Envelopment Analysis and Its Uses, Springer.
  9. Czernich N., Falek O., Kretschmer T., Woessmann L. (2011), Broadband Infrastructure and Economic Growth, The Economic Journal, Vol. 121, No. 552.
  10. Fernandez-Menedez J., Lopez-Sanchez J., Rodriguez-Duarte A., Sandulli F. , Technical Efficiency and Use of Information and Communication Technology in Spanish Firms, Telecommunications Policy, Vol. 33, No. 7.
  11. Fornefeld M., Delaunay G., Elixmann D. (2008), The Impact of Broadband on Growth and Productivit, A study on behalf of the European Commision.
  12. Gaj M. (2012), Strategia regulacyjna do roku 2015, Urząd Komunikacji Elektronicznej, Warszawa.
  13. Giokos D., Pentzaropoulos G. (2008), Efficiency Ranking of the OECD Member States in the Area of Telecommunications. A Composite AHP/DEA study, Telecommunications Policy, Vol. 32, No. 9-10.
  14. Guzik B. (2009), Podstawowe modele DEA w badaniu efektywności gospodarczej i społecznej, Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu.
  15. Growiec J. (2012), The World Technology Frontier. What Can We Learn from the US States? Oxford Bulletin of Economics and Statistics, Vol. 74, No. 6.
  16. Grubesic T. (2008), Spatial Data Constraints. Implications for Measuring Broadband, Telecommunications Policy, Vol. 32, No. 7.
  17. Grubesic T. (2010), Efficiency in Broadband Sendee Provision. A Spatial Analysis, Telecommunications Policy, Vol. 34.
  18. Hastie T., Tibshirani R., Friedman J. (2009), The Elements of Statistical Learning. Data Mining, Inference, and Prediction, Springer.
  19. Ho C., Zhu D. (2004), Performance Measurement of Taiwan's Commercial Banks, International Journal of Productivity and Performance Management, Vol. 53, No. 5.
  20. Holt L., Jamison M. (2009), Broadband and Contributions to Economic Growth. Lessons from the US Experience, Telecommunications Policy, Vol. 33, No. 10-11.
  21. Hothom T., Hornik K., Zeileis A. (2006), Unbiased Recursive Partitioning. A Conditional Inference Framework, Journal of Computational and Graphical Statistics.
  22. Huggins R. (2003), Creating a UK Competitiveness Index. Regional and Local Benchmarking, Regional Studies, Vol. 37, No. 1.
  23. ITU (2009), Measuring the Information Society - The ICT Development Index, International Telecommunications Union.
  24. Kamiński B., Zawisza M. (2012), Receptury w R. Podręcznik dla ekonomistów, Oficyna Wydawnicza Szkoły Głównej Handlowej, Warszawa.
  25. Kang Ch. (2009), Privatization and Production Efficiency in Taiwan's Telecommunications Industry, Telecommunications Policy, Vol. 33.
  26. Katz R. (2009), Estimating Broadband Demand and Its Economic Impact in Latin America, Proceedings of the 3rd ACORN-REDECOM Conference Mexico City.
  27. Katz R., Vaterlaus S., Zenhausem P., Suter S. (2010), The Impact of Broadband on Jobs and the German Economy, Intereconomics, Vol. 45, No. 1.
  28. Kelly T., Rossotto C. (eds.) (2012), Broadband Strategies Handbook, World Bank, Washington.
  29. Koronacki J., Ćwik J. (2008), Statystyczne systemy uczqce się, Akademicka Oficyna Wydawnicza EXIT, Warszawa.
  30. Koutroumpis P. (2009), The Economic Impact of Broadband on Growth: A Simultaneous Approach, Telecommunications Policy, Vol. 33, No. 9.
  31. Lam P., Lam T. (2005), Total Factor Productivity Measures for Hong Kong Telephon, Telecommunications Policy, Vol. 29, No. 1.
  32. Lam P., Shiu A. (2008), Productivity Analysis of the Telecommunications Sector in China, Telecommunications Policy, Vol. 32, No. 8.
  33. Liaw A., Wiener M. (2002), Classification and Regression by Random Forest, R News.
  34. OECD (2008), Broadband and the Economy, Ministerial Background Report DSTI/ICCP/IE(2007)3/FINAL.
  35. R Core Team (2012), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, URL: http://www.R- project.org/.
  36. Sastry P. (2009), Identifying Leaders and Laggards - A Method and Application to US Local Telephone Companies, Telecommunications Policy, Vol. 33, No. 3-4.
  37. TechNet (2003), The State Broadband Index.
  38. Tsai H., Chen Ch., Tzeng G. (2006), The Comparative Productivity Efficiency for Global Telecoms, International Journal of Production Economics, Vol. 103, No. 2.
  39. Uri N. (2003), Technical Efficiency in Telecommunications in United States and the Impact of Incentive Regulation, Telecommunications Policy, Vol. 27, No. 1.
  40. Walesiak M., Gatnar E., eds. (2009), Statystyczna analiza danych z wykorzystaniem programu R, Wydawnictwo Naukowe PWN, Warszawa.
  41. Zawisza M., Kaminski B. (2012), Oligopolistic Competition in Geographical Regions with Product Differentiation, in: Proceedings of the 8th European Social Simulation Association Conference, ed. A. Koch, Salzburger Geographische Arbeiten, Band 48.
  42. Zhang Q., Cheng L., Boutaba R. (2010), Cloud Computing, State-of-art and Research Challenge, Journal of Internet Services and Applications, Vol. 1, No. 1.
  43. Zhu J. (2000), Multi-factor Performance Measure Model with an Application to Fortune 500 companies, European Journal of Operational Research, Vol. 123, No. 1.
  44. Zhu J. (2004), Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company, Operations Research, Vol. 52, No. 2.
  45. Zhu J. (2009), Quantitative Models of Performance Evaluation and Benchmarking, Springer.
Cytowane przez
Pokaż
ISSN
2084-1531
Język
eng
Udostępnij na Facebooku Udostępnij na Twitterze Udostępnij na Google+ Udostępnij na Pinterest Udostępnij na LinkedIn Wyślij znajomemu