Baburin, Vyacheslav and Zemtsov, Stepan (2014): Diffussion of ICT-products and "five Russias". Published in: Uddevalla Symposium 2014: Geography of Growth, The Frequency, Nature and Consequences of Entrepreneurship and Innovation in Regions of Varying Density (1 October 2014): pp. 97-125.
Preview |
PDF
MPRA_paper_68926.pdf Download (1MB) | Preview |
Abstract
The authors explored the potential of new information and communications technologies (ICT) absorption in Russian regions primarily on an example of mobile communication. ICT-sector is rapidly growing, especially in consumer market, and it is an ideal object for diffusion research because it is fast spreading, and it can be obtained by almost all parts of a social system. The purpose was to classify regions by the rate of innovativeness. The saturation rate for mobile phone usage (active SIM cards per 100 people) was used as a proper indicator on the first stage of the research. All regions were classified according to rates of diffusion from 1999 to 2011, and five clusters were identified, corresponding to diffusion stages, identified by E. Rogers: innovators, early adopters, early majority, late majority and laggards. There were four stages of spatial diffusion, according to the theory of T. Hagerstrand. Each stage were determined by several factors. The most influential factors were income, price of services and competition. Mobile phone usage in most Russian regions reached 100% saturation (one active SIM card per capita) in 2006-2007. Later development was determined not by demand for phone connection, but by the demand for internet connection, which was easily provided by mobile systems in smartphones, tablets, and other devices. To assess the innovativeness of regional communities, or their ability to absorb new products, cluster analysis, based on the threshold values of Bass model parameters, was performed. The results were similar to those obtained earlier, but the early appearance of innovators in several regions did not increase the total number of users. Both previous methods of classification could be biased regarding special features of mobile communication diffusion. That is why, on the last stage an integral index of innovativeness was introduced, including rate of diffusion for several ICT-products on the early period of their introduction. The analysis proved that hierarchical model of diffusion from the main centres to secondary prevailed in Russia. Factor of geographical location also played an important role. The research showed the significant difference in the rate of diffusion between Russian regions. Five stable clusters were identified, which were corresponding with idea of “five Russias” existence. Moscow and Saint Petersburg’s rate of diffusion was higher than in most countries, but there was a widespread periphery.
Item Type: | MPRA Paper |
---|---|
Original Title: | Diffussion of ICT-products and "five Russias" |
English Title: | Diffussion of ICT-products and "five Russias" |
Language: | English |
Keywords: | geography of innovation, diffusion of innovation, Russian regions, mobile communication, logistic curve, Bass model, regions-innovators, index of innovativeness |
Subjects: | L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O52 - Europe R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R19 - Other |
Item ID: | 68926 |
Depositing User: | Dr Stepan Zemtsov |
Date Deposited: | 24 Jan 2016 11:35 |
Last Modified: | 26 Sep 2019 15:24 |
References: | Abraham, R. (2006). Mobile phones and economic development: Evidence from the fishing industry in India. In Information and Communication Technologies and Development, 2006. ICTD'06. International Conference on(pp. 48-56). IEEE. Ahn, H., Lee, M., 1999. An econometric analysis of the demand for access to mobile telephone networks. Information Economics and Policy 11, 297–305. Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. The Journal of Economic Perspectives, 207-232. Baburin, V., Zemtsov, S. Innovation potential of regions in Northern Eurasia. In ERSA conference papers (No. ersa13p546). European Regional Science Association. 2013 Bagchi, K., Kirs, P., & López, F. (2008). The impact of price decreases on telephone and cell phone diffusion. Information & Management, 45(3), 183-193. Baliamoune-Lutz, M. (2003). An analysis of the determinants and effects of ICT diffusion in developing countries. Information Technology for development, 10(3), 151-169. Bass F. A new product growth model for consumer durables. // Management Science 15 (5). 1969. P. 215–227 Bhavnani, A., Chiu, R. W. W., Janakiram, S., Silarszky, P., & Bhatia, D. (2008). The role of mobile phones in sustainable rural poverty reduction. retrieved November, 22, 2008. Bortnyk, I.M., Zdunov ,A.A., Kadochnikov, P.A., Mikheev, N.N., Senchenya, G.I., Sorokina, A.V. Evaluation and monitoring system of innovative development for Russian regions (in Russian: Система оценки и мониторинга инновационного развития регионов России). Innovation Economy. 2012. № 9 (167). Pp. 48-61. Brown, L. A. (1968). Diffusion dynamics: a review and revision of the quantitative theory of the spatial diffusion of innovation (No. 29). Gleerup. Burki, A. A., Aslam, S., & Ahmed, Q. M. (2000). The Role of Digital Technology and Regulations in the Diffusion of Mobile Phones in Asia [with Comments].The Pakistan Development Review, 741-750. Carluer, F. (2005). Dynamics of Russian regional clubs: The time of divergence. Regional studies, 39(6), 713-726. Castells, Manuel. Mobile communication and society. Mit Press, 2007. Chu, Wen-Lin, et al. Diffusion of mobile telephony: An empirical study in Taiwan. Telecommunications Policy 33.9 (2009): 506-520. Comer, J. C., & Wikle, T. A. (2008). Worldwide diffusion of the cellular telephone, 1995–2005. The Professional Geographer, 60(2), 252-269. Comin, D., Hobijn, B., & Rovito, E. (2006). Five facts you need to know about technology diffusion (No. w11928). National Bureau of Economic Research. Diamond, J. (2002). The new Russian budget system: a critical assessment and future reform agenda. International Monetary Fund. Fan, C. S., Overland, J., & Spagat, M. (1999). Human capital, growth, and inequality in Russia. Journal of Comparative Economics, 27(4), 618-643. Fedorov, L. (2002). Regional inequality and regional polarization in Russia, 1990–99. World Development, 30(3), 443-456. Geroski, P. A. (2000). Models of technology diffusion. Research policy, 29(4), 603-625. Gorodnichenko, Y., Martinez-Vazquez, J., & Peter, K. S. (2008). Myth and reality of flat tax reform: Micro estimates of tax evasion response and welfare effects in Russia (No. w13719). National Bureau of Economic Research. Griliches Z. Hybrid Corn: An Exploration in the Economics of Technological Change. // Econometrica. 1957. №25. P. 501–522. Gruber, H. (2001). Competition and innovation: The diffusion of mobile telecommunications in Central and Eastern Europe. Information Economics and Policy, 13(1), 19-34. Gruber, H., & Koutroumpis, P. (2011). Mobile telecommunications and the impact on economic development. Economic Policy, 26(67), 387-426. Gruber, H., & Verboven, F. (2001). The diffusion of mobile telecommunications services in the European Union. European Economic Review, 45(3), 577-588. Gupta, R., & Jain, K. (2012). Diffusion of mobile telephony in India: An empirical study. Technological Forecasting and Social Change, 79(4), 709-715. Hagerstrand T. Innovation Diffusion as a Spatial Process. – Chicago, 1967. Iyengar, R., Van den Bulte, C., & Valente, T. W. (2011). Opinion leadership and social contagion in new product diffusion. Marketing Science, 30(2), 195-212. Jang, S. L., Dai, S. C., & Sung, S. (2005). The pattern and externality effect of diffusion of mobile telecommunications: the case of the OECD and Taiwan. Information Economics and Policy, 17(2), 133-148. Kholodilin, K. A., Oshchepkov, A., & Siliverstovs, B. (2009). The Russian regional convergence process: Where does it go? (No. 861). Discussion papers//German Institute for Economic Research. Kiesling, E., Günther, M., Stummer, C., & Wakolbinger, L. M. (2012). Agent-based simulation of innovation diffusion: a review. Central European Journal of Operations Research, 20(2), 183-230. Kiiski, S., & Pohjola, M. (2002). Cross-country diffusion of the Internet.Information Economics and Policy, 14(2), 297-310. Koski, H., & Kretschmer, T. (2005). Entry, standards and competition: firm strategies and the diffusion of mobile telephony. Review of Industrial Organization, 26(1), 89-113. Kshetri, N., & Cheung, M. K. (2002). What factors are driving China's mobile diffusion? Electronic Markets, 12(1), 22-26. Labonne, J., & Chase, R. S. (2009). The power of information: the impact of mobile phones on farmers’ welfare in the Philippines. Lapidus, G. W. (1999). Asymmetrical federalism and state breakdown in Russia. Post-Soviet Affairs, 15(1), 74-82. Lee, M., & Cho, Y. (2007). The diffusion of mobile telecommunications services in Korea. Applied Economics Letters, 14(7), 477-481. Liikanen, J., Stoneman, P., & Toivanen, O. (2004). Intergenerational effects in the diffusion of new technology: the case of mobile phones. International Journal of Industrial Organization, 22(8), 1137-1154. Madden, G., & Coble-Neal, G. (2004). Economic determinants of global mobile telephony growth. Information Economics and Policy, 16(4), 519-534. Madden, G., Coble-Neal, G., & Dalzell, B. (2004). A dynamic model of mobile telephony subscription incorporating a network effect. Telecommunications Policy, 28(2), 133-144. Mahajan V., Peterson R. Models for Innovation Diffusion (Quantitative Applications in the Social Sciences). – Sage University Paper, 1985. Mahler, A., & Rogers, E. M. (1999). The diffusion of interactive communication innovations and the critical mass: the adoption of telecommunications services by German banks. Telecommunications policy, 23(10), 719-740. Massini, S. (2004). The diffusion of mobile telephony in Italy and the UK: an empirical investigation. Economics of Innovation and New Technology, 13(3), 251-277. Meade N., Islam T. Modelling and forecasting the diffusion of innovation – a 25-year review. // International Journal of Forecasting, 2006. №22. 514 – 545 p. Morrill R. The spatial organization of society. – Belmont: Wadswoth Publising company, Inc., 1970. Morrill, R. L. (1968). Waves of spatial diffusion. Journal of Regional Science,8(1), 1-18. Peshkova, A. 2013. Symbolic consumption of luxury goods: example of fashion luxury market in Russia. Master Thesis Expose. University of Kassel. Rachinskiy, A. (2010). Mobile telecommunications’ diffusion in Russia. Applied Econometrics, 18(2), 111-122. Rashid, A. T., & Elder, L. (2009). Mobile phones and development: An Analysis of IDRC-supported projects. The Electronic Journal of Information Systems in Developing Countries, 36. Gochberg, L.M. (ed.).b Rating of innovative development of the Russian Federation: an analytical report (in Russian: Рейтинг инновационного развития субъектов Российской Федерации: аналитический доклад) / National Research University "Higher School of Economics", 2012. Reforming the Russian Budget System: A Move to More Devolved Budget Management?. Vol. 104. International Monetary Fund, 2005. Rogers E. Diffusion of Innovations (5th ed.). – New York: Free Press, 2002. Rouvinen, P. (2006). Diffusion of digital mobile telephony: Are developing countries different? Telecommunications Policy, 30(1), 46-63. Russel T. Comments on “The relationship between diffusion rates, experience curves and demand elasticities for consumer durable technological innovations”. // Journal of Business. 1980. № 53 (3). P. 69-73. Singh, S. K. (2008). The diffusion of mobile phones in India. Telecommunications Policy, 32(9), 642-651. Stepanyan, V. (2003). Reforming tax systems: experience of the Baltics, Russia, and other countries of the former Soviet Union. International Monetary Fund. Stoneman, P. (Ed.). (2002). The economics of technological diffusion. Blackwell Publishing. Van den Bulte C., Stremersch S. Social contagion and income heterogeneity in new product diffusion: A meta-analytic test. // Markting Science. 2004. №23. p. 530-544. Vigneron, F., & Johnson, L. W. (1999). A review and a conceptual framework of prestige-seeking consumer behavior. Academy of Marketing Science Review,1(1), 1-15. Wareham J., Levy A., Cousins K. Wireless Diffusion and Mobile Computing: Implications for the Digital Divide. // ECIS 2002 Proceedings. Paper 62. 2002. Wu, Feng-Shang, and Wen-Lin Chu. "Diffusion models of mobile telephony." Journal of Business Research 63.5 (2010): 497-501. Zubarevich, N. (2013). Four Russias: Human Potential and Social Differentiation of Russian Regions and Cities. In Russia 2025: Scenarios for the Russian Future, pp.67–85. .Available at: http://www.palgraveconnect.com/pc/doifinder/10.1057/9781137336910.0009. (Accessed: 23 June 2014). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/68926 |