ASSESSMENT OF COMPLIANCE OF STRATEGIC DEVELOPMENT PRIORITIES OF REGIONS WITH THEIR INDUSTRY SPECIALIZATION BASED ON TEXT MINING

E. Kozonogova, Yulia V. Dubrovskaya, M. Rusinova, P. Ivanov
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Abstract

The task of determining the correctness of self-positioning of regions in terms of verifying the compliance of texts of regional development strategies with their industry specialization was solved in the course of the research presented in the article. Using the "smart" benchmarking methodology, as well as the Text Mining tools, long-term development strategies of 11 regions with a total text corpus of 415,780 words were analyzed. The main sections of the all-Russian classifier of economic activities that characterize the sectoral priorities of regional development were selected as keywords. The extraction of key concepts from strategy texts, as well as their quantitative analysis, was carried out using the high-level Python programming language. The obtained quantitative results of comparing the named entities of the development strategies of the subjects of the Russian Federation proved that the insufficiency of unique goal-setting in terms of identifying promising specializations in regional development strategies distorts the system of priority development directions. This is objectively one of the reasons why the territories do not achieve the planned indicators. The paper uses methods of text mining, mathematical statistics, grouping and generalization, as well as techniques for visualizing the analyzed data. The author's method of conducting intellectual analysis of texts is universal for any field of science. The developed algorithms for extracting named entities from the text and algorithms for quantitative analysis of the text open up wide horizons for further research in the field of strategy analysis, as public documents addressed to interested subjects.
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基于文本挖掘的区域战略发展重点与产业分工的契合度评价
在本文的研究过程中,解决了通过验证区域发展战略文本与其产业专业化的符合性来确定区域自我定位正确性的问题。采用“智能”标杆分析方法,结合文本挖掘工具,对11个地区415,780词的文本语料库的长期发展策略进行了分析。全俄经济活动分类的主要部分是区域发展的部门优先事项,被选为关键词。从战略文本中提取关键概念,并对其进行定量分析,使用高级Python编程语言进行。通过比较俄罗斯联邦各主体发展战略的指定实体所获得的数量结果证明,在确定区域发展战略中有前途的专业方面,缺乏独特的目标设定,扭曲了优先发展方向的制度。客观上,这是领土没有实现计划指标的原因之一。本文采用了文本挖掘、数理统计、分组和泛化等方法,并对分析数据进行了可视化处理。作者对文本进行理性分析的方法适用于任何科学领域。开发的从文本中提取命名实体的算法和文本定量分析的算法为战略分析领域的进一步研究开辟了广阔的视野,作为面向感兴趣主题的公共文件。
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来源期刊
CiteScore
1.10
自引率
33.30%
发文量
9
期刊介绍: PUBLIC ADMINISTRATION ISSUES is a scientific peer-reviewed journal published by the National Research University High School of Economics (NRU HSE).The journal is published quarterly in Russian, and contains original articles by Russian and foreign authors. In addition, a special English language issue containing original articles by Russian and foreign authors has been published since 2014. The editorial board consists of leading Russian and foreign scientists in the field of public administration as well as prominent practitioners. The journal is indexed in the international databases: Scopus, RePEc, EBSCOand the Russian Science Citation Index (RSCI) on the platform of Web of Science. In addition, the journal is on the list of key peer-reviewed scientific journals and publications that the Higher Certification (Attestation) Commission in the RF Education Ministry recommends for publishing the main scientific results of theses for PhD and doctoral degrees in Economics, Sociology and Law. The journal focuses on the following subject areas: − Current theories of public administration. − Theoretical fundamentals of economic and social policy − Factors and Assessment of efficiency in public and municipal administration. − Innovations in the system of public and municipal administration. − Planning and forecasting in the system of public and municipal administration. − Staff of the state and municipal service. Management of personnel in public and municipal bodies and in organizations of the public sectors. − Financial, logistical and information resources of the state and municipalities. − Public service. − Functional features of public sector organizations. − Partnership of the state and municipalities with nongovernmental nonprofit organizations. Economic and administrative challenges facing “third sector.” - Development of education programs on public administration.
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