Information infrastructure as a pillar of the knowledge-based economy ? an analysis of regional differentiation in Poland
DOI:
https://doi.org/10.24136/eq.2018.007Keywords:
information infrastructure, knowledge-based economy, regional differentiation, divergence, convergenceAbstract
Research background: Information infrastructure is a very important pillar within a knowledge-based economy. The widespread use of information and communication technologies facilitates effective communication, dissemination and processing of information and knowledge. It also creates new opportunities for the effective use of knowledge and information in building competitive advantage. Information infrastructure is also a significant determinant in the development of territorial units, and therefore it affects the regional dimension of building the knowledge-based economy in Poland.
Purpose of the article: The purpose of the study was to evaluate regional differentiation of the level of information infrastructure in Poland, and changes which occurred in this respect between 2010 and 2015. An attempt was made to provide an answer to the following question: Are regional differences in the level of information infrastructure in Poland increasing or decreasing, i.e. is a regional divergence or a regional convergence process taking place in this respect?
Methods: Taxonomic methods were used, including linear ordering based on a synthetic variable and a method of grouping linearly-ordered objects.
Findings & Value added: The regional differentiation of the level of information infra-structure in Poland has slightly decreased, which means, that a slow convergence process has taken place in this respect. This fact is confirmed by the value of the variation coefficient, which fell from a level of 17.6% in 2010 to a level of 14.4% in 2015. Convergence processes were observed in twelve provinces. In the case of seven of them, they had the nature of a catching-up effect, and in the case of the remaining five ? a lagging-behind effect. Divergence processes were observed in four provinces. The Dolnośląskie and Mazowieckie Provinces distanced themselves from other areas of the country. In the Małopolskie and Opolskie Provinces a marginalisation effect was observed.
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References
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Arendt, Ł. (2015). The digital economy, ICT and economic growth in the CEE countries. Olsztyn Economic Journal, 10(3).
Balcerzak, A. P. (2015). Europe 2020 Strategy and structural diversity between old and new member states. Application of zero-unitarization method for dynamic analysis in the years 2004-2013. Economics & Sociology, 8(2). doi: 10.14254/2071-789X.2015/8-2/14.
Balcerzak, A. P., & Pietrzak, M. B. (2016). Quality of institutions for knowledge-based economy within new institutional economics framework. Multiple criteria decision analysis for European countries in the years 2000?2013. Economics & Sociology, 9(4). doi: 10.14254/2071-789X.2016/9-4/4.
Balcerzak, A. P., & Pietrzak, M. B. (2017a). Digital economy in Visegrad countries. Multiple-criteria decision analysis at regional level in the years 2012 and 2015. Journal of Competitiveness, 9(2). doi: 10.7441/joc.2017.02.01.
Balcerzak, A. P., & Pietrzak, M. B. (2017b). Digital economy in Polish regions. Proposal of measurement via TOPSIS with generalized distance measure GDM. In M. Papież & S. Śmiech (Eds.). The 11th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Conference proceedings. Cracow: Foundation of the Cracow University of Economics.
Bartkowiak-Bakun, N. (2017). The diversity of socioeconomic development of rural areas in Poland in The Western Borderland and the problem of post-state farm localities. Oeconomia Copernicana, 8(3). doi: 10.24136/oc.v8i3.26.
Bashir, M. (2013). Knowledge economy index (KEI) 2012 rankings for Islamic countries and assessment of KEI indicators for Pakistan. International Journal of Academic Research in Economics and Management Sciences, 2(6). doi: 10.6007/IJAREMS/v2-i6/439.
Central Statistical Office of Poland. (2017). Information society in Poland. Results of statistical surveys in the years 2013-2017. Warszawa, Szczecin: Central Statistical Office, Statistical Office in Szczecin.
Cheba, K., & Szopik-Depczyńska, K. (2017). Multidimensional comparative analysis of the competitive capacity of the European Union countries and geographical regions. Oeconomia Copernicana, 8(4). doi: 10.24136/oc.v8i4.30.
Chen, D. H. C., ? Dahlman, C. J. (2006). The knowledge economy, the KAM methodology and World Bank operations. Washington: World Bank.
Dahlman, C. J., ? Andersson, T. (2000). Korea and the knowledge-based economy. Making the Transition. Washington: World Bank.
Goliński, M. (2011). Information society - the genesis of concepts and measurement issues. Warsaw: Warsaw School of Economics.
Gorij, E., ? Alipourian, M. (2011). The knowledge economy & the knowledge assessment methodology (The case study of Iran & some other countries). Iranian Economic Review, 15(29).
Hanna, N. K. (2010). ICT sector for the innovation economy. In N. K. Hanna. e-Transformation: enabling new development strategies. New York: Springer. doi: 10.1007/978-1-4419-1185-8_8.
Kałkowska, J. (2016). Information and communication technologies supporting fuzzy knowledge management. In C. Schlick & S. Trzcieliński (Eds.). Advances in ergonomics of manufacturing: managing the enterprise of the future. Cham: Springer. doi: 10.1007/978-3-319-41697-7_32.
Kamińska, T. (2009). The ICT usage as an attribute of the knowledge-based economy - Poland?s case. Transformations in Business & Economics, 8(3).
Kruk, H., & Waśniewska, A. (2017). Application of the Perkal method for assessing competitiveness of the countries of Central and Eastern Europe. Oeconomia Copernicana, 8(3). doi: 10.24136/oc.v8i3.21
Kukliński, A. (Ed.). (2003). Knowledge-based economy. World Bank perspectives. Warsaw: Rewasz.
Kukliński, A., & Burzyński W. (2004). Developing the knowledge-based economy in Europe: the perspective of eight countries. Warszawa: Centrum Badawcze Transformacji, Integracji i Globalizacji.
Local Data Bank (2017). Retrieved from https://bdl.stat.gov.pl/BDL/start (07.02.2017).
Madrak-Grochowska, M. (2013). Competitiveness of knowledge-based economies. Suggestion for measuring. Economics and Law, 12(3). doi: 10.12775/EiP. 2013.027.
Maryska, M., Doucek, P., & Kunstova, R. (2012). The importance of ICT sector and ICT university education for the economic development. Procedia - Social and Behavioral Sciences, 55. doi: 10.1016/j.sbspro.2012.09.598.
Measuring knowledge in the world?s economies. Knowledge assessment methodology and knowledge economy index. Retrieved from http://www.oneworldarchives.org/kambooklet.pdf (20.03.2017).
Miszczak, K. (2012). Theoretical issues of development of knowledge-based economy and information and communication technologies sector in spatial aspect. Regional Journal, 12.
Olszak, C., & Ziemba E. (2011). The use of ICT for economic development in the Silesian Region in Poland. Interdisciplinary Journal of Information, Knowledge, and Management, 6.
Panek, T., & Zwierzchowski J. (2013). Statistical methods of multivariate comparative analysis. Theory and applications. Warsaw: Warsaw School of Economics.
Piech, K. (2007). Knowledge economy and the long-term growth ? are there any relations? In K. Piech (Ed.). Knowledge and innovation processes in Central and East European Economies. Warszawa: Instytut Wiedzy i Innowacji.
Shapira, P., Youtie, J., Yogeesvaran, K., & Jaafar, Z. (2006). Knowledge economy measurement: Methods, results and insights from the Malaysian Knowledge Content Study. Research Policy, 35. doi: 10.1016/j.respol.2006.09.015.
Strożek, P., & Jewczak, M. (2016). Information and communication technologies in Poland regional perspective. In M. Papiez & S. Smiech (Eds.). The 10th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Conference proceedings. Cracow: Foundation of the Cracow University of Economics.
Tocan, M. C. (2012). Knowledge based economy assessment. Journal of Knowledge Management, Economics and Information Technology, 2(5).
Ujwary-Gil, A. (2013). Knowledge assesment methodology results for Poland. Business and Non-Profit Organizations Facing Increased Competition and Growing Customers? Demands, 12.
Wasiak, M. (2008). The knowledge-based economy in the new members states of the European Union: methodological aspects. Comparative Economic Research Central and Eastern Europe, 11(3).
Wierzbicka, W. (2017). Human capital as a pillar of knowledge-based economy ? an analysis of the regional diversity in Poland. Studia Prawno-Ekonomiczne, 104. doi: 10.26485/SPE/2017/104/19.
Wierzbicka, W. (2016). Innovation system as a pillar of knowledge-based economy ? an analysis of the regional diversity in Poland. Olsztyn Economic Journal, 11(4).
World Bank (2003). ICT and MDGs: a World Bank group perspective. Washington: World Bank.
Zygmunt, A. (2017). Innovation activities of Polish firms. Multivariate analysis of the moderate innovator countries. Oeconomia Copernicana, 8(4). doi: 10.24136/oc.v8i4.31.
Żelazny, R., & Pietrucha, J. (2017). Measuring innovation and institution: the creative economy index. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(1). doi: /10.24136/eq.v12i1.3.
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Published
2018-03-31
How to Cite
Wierzbicka, W. (2018). Information infrastructure as a pillar of the knowledge-based economy ? an analysis of regional differentiation in Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 13(1), 123–139. https://doi.org/10.24136/eq.2018.007
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