The problems of spatial modernization of the economy and new approaches to way out from crisis: Kazakhstan’s experience

Kireyeva,, A. A. , & Nurlanova,, N. K. (2013). The problems of spatial modernization of the economy and new approaches to way out from crisis: Kazakhstan’s experience. The Journal of Distribution Science, 11(3), 39-48, https://doi.org/https://doi.org/10.15722/jds.11.3.201303.39

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Abstract

Purpose - This study aims to analyze the main problems of spatial modernization of the economy, and to develop new approaches to way out from crisis, to accelerate of innovations process from the cities-centers to the underdeveloped regions. Research design, data, methodology - The application of scientific methods in this research will allow to systematize the available data, from both a theoretical and empirical perspective. The study employs the method of ranking regions, the rate of innovation activity and comparative evaluation of R&D indicator. In addition, the authors proposed the method of modeling of innovation diffusion in the regions. Results - This study confirms that the need help for the underdeveloped regions, but we should clearly understand the limits of opportunities and to choose the right mechanisms. Further, this study shows it's important to maintain the regions with high innovation activity, as they are growth poles, which are play the role of translator's innovations to the periphery. Conclusions - According to the results of this theoretical and empirical study proved that modernization of the economy is realized faster in the regions with the best conditions for the diffusion of innovations, the higher the concentration of the population, a more developed infrastructure and reduced of administrative barriers.

keywords: Spatial Modernization, Spatial Barriers, Regional Development, Innovation Cycle

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Article Contents

Vol.11 No.3

The problems of spatial modernization of the economy and new approaches to way out from crisis: Kazakhstan’s experience

Abstract

Reference

The Journal of Distribution Science