Socio-economic development and quality of life of NUTS-2 units in the European Union

Q4 Mathematics
Maciej Jewczak, Magdalena Brudz
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引用次数: 0

Abstract

Abstract Analyses regarding socio-economic development and quality of life are an important aspect of research and discussion for many international organisations, states and local authorities. Due to the complexity and multidimensionality of these issues, conducting research can be problematic. The conclusions of various analytical centres indicate that there are many paths towards establishing a set of factors which affect quality of life and ways of assessing socio-economic development levels. Depending on the criteria considered, the most common methods for determining the degree of the advancement of life quality or socio-economic development include taxonomical techniques and analyses of potential, which are based mainly on objective data sourced from official registers. The main purpose of the paper is to investigate the level of socio-economic development and quality of life in the European Union in the years 2004 and 2018. The analyses were conducted for a rarely used level of spatial data aggregation, i.e. for NUTS-2 units. The analysis covers only those European regions that were EU members in 2004. As the primary research tool, the two-dimensional development matrix was adopted, which enabled the verification of the hypothesis regarding the convergence of synthetic measures that indicate the levels of socio-economic development and quality of life in the EU regions. For these indices, the development matrix is also used to identify the strengths and weaknesses as well as the opportunities and threats for selected spatial units, and, at the same time, to estimate the rates of change of the socio-economic development and quality of life levels.
欧洲联盟NUTS-2单位的社会经济发展和生活质量
关于社会经济发展和生活质量的分析是许多国际组织、国家和地方当局研究和讨论的一个重要方面。由于这些问题的复杂性和多维性,进行研究可能会有问题。各分析中心的结论表明,有许多途径可以确定一套影响生活质量的因素和评估社会经济发展水平的方法。根据所考虑的标准,确定生活质量或社会经济发展进步程度的最常用方法包括分类学技术和潜力分析,这些方法主要基于来自官方登记册的客观数据。本文的主要目的是调查欧盟在2004年和2018年的社会经济发展水平和生活质量。这些分析是针对很少使用的空间数据汇总水平,即nut -2单位进行的。该分析仅涵盖2004年欧盟成员国的欧洲地区。作为主要的研究工具,采用了二维发展矩阵,这使得能够验证关于表明欧盟地区社会经济发展水平和生活质量的综合措施趋同的假设。对于这些指数,还使用发展矩阵来确定选定空间单元的优势和劣势以及机会和威胁,同时估计社会经济发展和生活质量水平的变化率。
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
Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.00
自引率
0.00%
发文量
0
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.
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