进一步探讨提高俄罗斯联邦北极地区产业政策有效性的机遇

Q2 Social Sciences
E. Moreva, L. V. Obolenskaya
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引用次数: 0

摘要

本文的现状是由于俄罗斯北极工业发展面临的战略、地缘政治、经济、生态和其他挑战的加剧,需要国家对此作出回应。因此,在该地区实现的产业政策(IP)的改善和确定提高其效果的机会是北极议程的问题之一。在实践中对课程的有效性进行分析和评估构成了本文的目标,其任务是确定提高政策有效性的机会。针对上述问题,笔者运用了一般的科学研究方法:分析、综合、逻辑、辩证、比较等。将其应用于研究俄罗斯联邦北极地区的知识产权(AZRF),发现了政策制定和实施时的一些缺点,即使用了作者制定的知识产权效率定量指标,并考虑了管理因素;战略管理阶段转换时对连续性的思考强制使用信息支持课程作为一个特殊系统,使人们能够不断监测知识产权的有效性,并确定在系统层面改进知识产权的机会,以及实现这些可能性的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Further to the Opportunities to Elevate the Industrial Policy’ Effectiveness in the Arctic Zone of the Russian Federation
The actuality of the paper is due to the intensification of the strategic, geopolitical, economic, ecological and other challenges to the Russian Arctic’ industrial development which requires the State to respond to them. Thus, the improvement of the Industrial policy (IP) realized in the region and the determination of the opportunities to boost its effects are among the arctic agenda’ issues. The analysis and the assessment of the effectiveness of the course in practice form the objective of the present paper, with its tasks to define the opportunities to elevate the policy’ effectiveness. To solve the above problems, the authors used the general scientific research methods: analysis, synthesis, logical, dialectical, comparative and others. Their application to study the IP in the Arctic Zone of the Russian Federation (AZRF) resulted in the identification of a number of shortcomings when the policy’ development and implementation, i. e. the use of quantitative indicators of IP efficiency developed by the authors with the managerial factor accounted; the consideration of the continuity when changing the stages of strategic management; the compulsory use of the information support to the course as a special system that allows one to monitor constantly the effectiveness of IP and identify opportunities to improve it at the system level, as well as the recommendations to accomplish these possibilities.
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来源期刊
Periodica Polytechnica, Social and Management Sciences
Periodica Polytechnica, Social and Management Sciences Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
26
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