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학술논문

Analysis of Innovative Activity in Regions of Kazakhstan

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영문명
발행기관
한국유통과학회
저자명
Karlygash Mukhtarova Aigul Myltykbayeva
간행물 정보
『KODISA ICBE (International Conference on Business and Economics)』2014 International Conference on Business and Economics (ICBE 2014), 329~333쪽, 전체 5쪽
주제분류
경제경영 > 경제학
파일형태
PDF
발행일자
2017.07.31
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국문 초록

영문 초록

The authors emphasize that the Republic of Kazakhstan is characterized by significant differences in the level of innovation capacity of regions. This article summarizes that the result of the monitoring of innovation potential of the regions are prerequisites for innovation policy adjustments, make it more dynamic, which ultimately contributes to its effectiveness. So, there are substantial differences in the level of innovation potential of the regions in the Republic of Kazakhstan, meanwhile it is noted that most regions' innovative features and potential can be assessed as average. After analysis of previously used methods, it can be concluded that the ranking of the level of innovation potential of regions takes place in the following order: High level of innovative potential: East Kazakhstan (3 matches), Almaty city (2 matches), Pavlodar (2 matches) and Zhambyl regions (2 matches); Low level of innovative potential: Almaty (2 matches), Mangistau (2 matches), West Kazakhstan (2 matches), Kyzylorda oblast (2 matches). In conclusion, it is emphasized that monitoring of innovative potential of regions creates the preconditions for innovation policy adjustments. These adjustments make the policy more dynamic and contribute to its effectiveness in the long run.

목차

Abstract
1. Introduction
2. Main Part
3. Conclusion
References

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APA

Karlygash Mukhtarova,Aigul Myltykbayeva. (2017).Analysis of Innovative Activity in Regions of Kazakhstan. KODISA ICBE (International Conference on Business and Economics), 2017 (1), 329-333

MLA

Karlygash Mukhtarova,Aigul Myltykbayeva. "Analysis of Innovative Activity in Regions of Kazakhstan." KODISA ICBE (International Conference on Business and Economics), 2017.1(2017): 329-333

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