Key steps to smart specialization development of Russian regions

Q3 Economics, Econometrics and Finance REconomy Pub Date : 2021-07-04 DOI:10.15826/recon.2021.7.2.011
Y. Myslyakova, E. Shamova, N. Neklyudova
{"title":"Key steps to smart specialization development of Russian regions","authors":"Y. Myslyakova, E. Shamova, N. Neklyudova","doi":"10.15826/recon.2021.7.2.011","DOIUrl":null,"url":null,"abstract":"Relevance. The development of modern mechanisms for state regulation of regional processes, including those related to investment support for certain industries (e.g. the Spatial Development Strategy in Russia), requires a research-informed choice of ‘priority’ specializations. At the same time, such choice should meet the requirement of resilient economic development of these regions if the development of these specializations is supported on the national level. Research objective.The goal of this study is to assess the current structure of the Russian regions’ economy. We aim to identify the regions that have a specialization and thus can ensure resilient development and transition to smart specialization. Data and methods. The study proposes a methodological approach to identify the region’s smart specialization. The approach is based on the calculation of indicators that characterize the regions’ industries according to Russia’s national classifier of types of economic activity (OKVED2). Regions with pronounced industrial specialization are thus identified. The methodological approach has been tested by using statistical data for 84 regions. Results.43 regionswith industrial, export-oriented and extractive specialization were identified. We revealed nineregions that had sufficient prerequisites for the transition tosmart specialization and 11 regions that need to strengthen their knowledge-intensive component. Conclusion.The resulting list of Russian regions that can act as pioneer territories for the introduction of structural changes into the practice of state regulation can be of interest to policy-makers.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"REconomy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15826/recon.2021.7.2.011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

Relevance. The development of modern mechanisms for state regulation of regional processes, including those related to investment support for certain industries (e.g. the Spatial Development Strategy in Russia), requires a research-informed choice of ‘priority’ specializations. At the same time, such choice should meet the requirement of resilient economic development of these regions if the development of these specializations is supported on the national level. Research objective.The goal of this study is to assess the current structure of the Russian regions’ economy. We aim to identify the regions that have a specialization and thus can ensure resilient development and transition to smart specialization. Data and methods. The study proposes a methodological approach to identify the region’s smart specialization. The approach is based on the calculation of indicators that characterize the regions’ industries according to Russia’s national classifier of types of economic activity (OKVED2). Regions with pronounced industrial specialization are thus identified. The methodological approach has been tested by using statistical data for 84 regions. Results.43 regionswith industrial, export-oriented and extractive specialization were identified. We revealed nineregions that had sufficient prerequisites for the transition tosmart specialization and 11 regions that need to strengthen their knowledge-intensive component. Conclusion.The resulting list of Russian regions that can act as pioneer territories for the introduction of structural changes into the practice of state regulation can be of interest to policy-makers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
俄罗斯地区智能专业化发展的关键步骤
关联国家监管区域进程的现代机制的发展,包括与对某些行业的投资支持有关的机制(如俄罗斯的空间发展战略),需要在研究知情的情况下选择“优先”专业。同时,如果在国家层面上支持这些专业的发展,这种选择应该满足这些地区有韧性的经济发展的要求。研究目标。本研究的目的是评估俄罗斯各地区当前的经济结构。我们的目标是确定具有专业化的地区,从而确保有韧性的发展和向智能专业化的过渡。数据和方法。该研究提出了一种方法论方法来识别该地区的智能专业化。该方法基于根据俄罗斯国家经济活动类型分类法(OKVED2)对各地区产业特征指标的计算。从而确定了具有明显工业专业化的地区。通过使用84个区域的统计数据,对方法论方法进行了检验。结果确定了43个具有工业、出口导向和采掘业专业化的区域。我们揭示了9个地区具备向智能专业化过渡的充分先决条件,11个地区需要加强其知识密集型组成部分。结论由此产生的俄罗斯地区名单可能会引起决策者的兴趣,这些地区可以作为将结构变革引入国家监管实践的先驱地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
REconomy
REconomy Economics, Econometrics and Finance-General Economics, Econometrics and Finance
CiteScore
1.60
自引率
0.00%
发文量
8
审稿时长
14 weeks
期刊最新文献
Modelling Outflow Remittances in the Digital Era: A Subnational Analysis of Russia Digital platforms for regional economic research: a review and methodology proposal Impact of Trade and Capital Openness on the Government Size of Russia Factors Influencing Chinese Migrants’ Entrepreneurial Activity in Russia: A Case Study of Sverdlovsk Region Asymmetric Dynamics of Inflation Inertia in Some Selected Non-Eurozone European Countries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1