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Analysis and forecast of competitiveness of new industrial countries


Smirnov V.V., Osipov D.G., Babaeva A.A., Grigoreva E.V., Perfilova E.F.
(about the authors)

Smirnov Valeriy Vladislavovich – (I.N. Ulianov Chuvash State University)

Osipov Denis Gennadevich – (I.N. Ulianov Chuvash State University)

Babaeva Anna Aleksandrovna – (I.N. Ulianov Chuvash State University)

Grigoreva Elena Vyacheslavovna – (I.N. Ulianov Chuvash State University)

Perfilova Elena Faritovna – (I.N. Ulianov Chuvash State University)

Published in:
Creative Economy
– Volume 12, Number 9 (September 2018)



Keywords: competitive advantages, factor analysis, forecast, growth rates, new industrial countries, technological development


Citation:
Smirnov V.V., Osipov D.G., Babaeva A.A., Grigoreva E.V., Perfilova E.F. (2018). Analysis and forecast of competitiveness of new industrial countries. Creative Economy, 12(9), 1291-1306. doi: 10.18334/ce.12.9.39353


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Abstract:

The subject of the study is the competitive advantages of the new industrial countries - India, Indonesia, China, Malaysia, Singapore, Thailand, Philippines, South Korea, Argentina, Brazil, Mexico, Tunisia, Cyprus, Turkey and Hong Kong. The analysis and forecast of the dynamics of the development of new industrial countries with the estimation of technological rates of growth (TGR) of a set of interdependent indicators were made in the article: high-tech exports, research and development costs, the number of applications for trademarks, the number of patent applications (non-residents and residents), industrial design non-residents and residents), public expenditure on education. As a result of the TGR analysis of the newly industrialized countries, the competitive advantages of TGR2006-2016 are revealed: Tunisia (high-tech exports and industrial design (non-residents)), India (high-tech exports), Thailand (research and development costs and number of patent applications (non-residents), China number of applications for trademarks and patent applications (residents)), Indonesia (industrial design (residents), Turkey (public expenditure on education), TGR2006-2020: Singapore and India (high-tech exports), Tile (the number of applications for trademarks), Cyprus (the number of patent applications (residents)), Tunisia (industrial design (non-residents)), Indonesia (industrial design (residents) ), Turkey (public spending on education).








References:
Abdrakhmanova G.I., Gokhberg L., Sokolov A. (2018). Indicators of Information and Communication Technology Encyclopedia of Information Science and Technology, Fourth Edition. 10 doi: 10.4018/978-1-5225-2255-3.
Bo T.H., Dysvik B., Jonassen, I. (2004). LSimpute: accurate estimation of missing values in microarray data with least squares methods Nucleic Acids Research. 32 (3). 34. doi: 10.1093/nar/gnh026.
Cardiel N. (2009). Data boundary fitting using a generalized least-squares method Monthly Notices of the Royal Astronomical Society. 396 (2). 680-695. doi: 10.1111/j.1365-2966.2009.14749.x.
Gokhberg L., Meissner D., Shmatko N.A. (2017). Myths and Realities of Highly Qualified Labor and What It Means for PhDs Journal of the Knowledge Economy. 8 (2). 758-767. doi: 10.1007/s13132-016-0403-7.
Gokhberg L., Sokolov A., Chulok A.A. (2017). Russian S&T Foresight 2030: identifying new drivers of growth Foresight. 19 (5). 441-456. doi: 10.1108/FS-07-2017-0029.
Grigoli F., Cesca S., Dahm T., Krieger L. (2012). A complex linear least-squares method to derive relative and absolute orientations of seismic sensors Geophysical Journal International. 188 (3). 1243-1254. doi: 10.1111/j.1365-246X.2011.05316.x.
Jarratt P., Mack C. (1968). A least squares method for Laplace's equation with Dirichlet boundary conditions Computer Journal. 11 (1). 83-87. doi: 10.1093/comjnl/11.1.83.
Khabaza I.M. (1963). An Iterative Least-Square Method Suitable for Solving Large Sparse Matrices Computer Journal. 6 (2). 202-206. doi: 10.1093/comjnl/6.2.202.
Maloney W.F., Nayyar G.N. (2018). Industrial Policy, Information, and Government Capacity World Bank Research Observer. (lkx006). doi: 10.1093/wbro/lkx006.
Xu Yu., Mildred E. (2012). Understanding employment growth in the recession: the geographic diversity of state rescaling Cambridge Journal of Regions, Economy and Society. 8 (2). 359-377. doi: 10.1093/cjres/rsv001.

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