工业发达地区在俄罗斯经济中的多功能作用

V. Akberdina
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引用次数: 0

摘要

俄罗斯联邦到2025年的空间发展战略依赖于有效专业化的确定,不允许明确承认工业区并制定方法来评估其在确保国家安全方面的作用。本文重点研究了在国家空间、科学、技术和工业发展的背景下,工业发达地区的识别问题。这项研究建立在一套识别产业导向区域的方法论方法的基础上,使作者能够区分两组分类:基于结构方法的分类和使用产业专业化的分类。结构方法是应用最广泛的区域分类方法之一,用于识别其中的产业导向区域。作者提出了一种多标准分类方法,该方法也基于对工业和制造业在GRP中所占份额的评估,并包括一些额外的分类标准(人均GRP、人均固定资本投资、制造业和采掘业在工业中所占的份额等),作者确定了俄罗斯的工业发达地区,并阐明了它们在确保国家安全方面的作用。研究人员根据GRP中的高科技和知识密集型产业以及国内研发支出的数量,评估了工业发达地区新工业化的潜力。该研究的理论和实践意义在于证明了在空间背景下优化选择工业发展优先事项的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multifunctional role of industrially developed regions in the Russian economy
The Strategy for spatial development of the Russian Federation for the period up to 2025, which relies on the identification of effective specialisations, does not allow unambigu ously recognising industrial regions and forming approaches to assess their role in ensuring the national security. The paper focuses on the problem of identification of industrially devel oped regions in the context of spatial, scientific, technological and industrial development of the country. The research builds on a set of methodological approaches to the identification of industry-oriented regions, which enables the author to distinguish between two groups of classi fications: the ones based on the structural approach and the ones using industrial specialisation. The structural approach is one of the most widely applied for classifying regions and identify ing industrial-oriented regions among them. The author proposes a multi-criteria classification method, which also is based on the evaluation of the share of industry and manufacturing in GRP, as well as includes a number of additional classification criteria (GRP per capita, fixed capital investment per capita, the share of manufacturing and extractive industries in industry, etc.). Applying the multi-criteria classification, the author identifies the industrially developed regions of Russia and clarifies their role in ensuring the national security. The researcher as sesses the potential for new industrialisation in industrially developed regions on the basis of the high-tech and knowledge-intensive industries in GRP and the volume of domestic research and development expenditures. The theoretical and practical significance of the research lies in justification of the need for optimal choice of priorities for industrial development in the spatial context.
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