Transformation of Regional Specialization Industries in the Conditions of New Technological Challenges

Q3 Engineering

Advances in Systems Science and Applications Pub Date : 2020-09-30 DOI:10.25728/ASSA.2020.20.3.851

O. Smirnova, L. Averina, A. Ponomareva

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引用次数: 0

Abstract

The paper substantiates the significance of the problem of developing new branches of regional specialization. The mechanisms of transformation of regional specializations are investigated. The productive role of the concept of "smart specialization" for socio-economic and industrial development is noted. The empirical base of the study was Russia’s statistics for 2010-2018. The method of correlation and regression analysis identifies the influence of the way of using digital technologies on the development of traditional industries. The factors affecting the functioning of the industrial sector of Russia were identified. The current requirements and approaches to identifying the priorities of specialization of a region are given. As a result of the study, it was concluded that in order to transform traditional specialization industries and increase their competitiveness in modern conditions, their active interaction (integration and associated participation in production chains) with high-tech fast-growing industries is paramount. As expected, the introduction of new digital technologies will contribute to the growth of traditional industries, which will lead to an increase in their economic sustainability.

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新技术挑战下的区域专业化产业转型

文章论述了发展区域专业化新分支问题的重要意义。研究了区域专业化转型的机制。注意到“聪明的专业化”概念对社会经济和工业发展的生产性作用。该研究的实证基础是俄罗斯2010-2018年的统计数据。通过相关分析和回归分析的方法，确定了数字技术使用方式对传统产业发展的影响。确定了影响俄罗斯工业部门运作的因素。给出了确定一个区域专业化优先事项的当前要求和方法。研究结果表明，为了在现代条件下改造传统专业化产业并提高其竞争力，它们与高技术快速增长产业的积极互动(整合和相关参与生产链)至关重要。正如预期的那样，新的数字技术的引入将有助于传统行业的发展，这将导致其经济可持续性的提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.