The problem of statistical assessment of the potential for the development of regional integration processes

Q4 Mathematics

Statistics in Transition Pub Date : 2021-12-01 DOI:10.21307/stattrans-2021-041

O. Osaulenko, O. Bulatova, O. Zakharova, Natallia Reznikova

引用次数: 1

Abstract

Abstract The present article illustrates the use of integrated indices to evaluate the potential for the development of regional integration processes. The study examines a new research and methodological approach, which involves the use of an integral index of the potential for the development of integration processes, proposed with regard to the intensity of the influence of internal and external factors on integrative relations development. The application of the above-mentioned integrated index in a comparative analysis of the potential for the development of integration processes allows a comprehensive and quantitative description of the current regional integration processes taking place in the modern economy under certain regional models.

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区域一体化进程发展潜力的统计评估问题

摘要本文阐述了利用综合指数来评价区域一体化进程发展的潜力。该研究审查了一种新的研究和方法方法，其中涉及使用一体化进程发展潜力的综合指数，该指数是针对内部和外部因素对一体化关系发展的影响程度提出的。将上述综合指数应用于一体化进程发展潜力的比较分析，可以在某些区域模式下对现代经济中目前发生的区域一体化进程进行全面和定量的描述。

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

Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.