Economic Security and Physical Safety in the European Union: A Multivariate Statistical Analysis

Author:

BAĞLITAŞ H. Hilal1ORCID,ATİK Hayriye2ORCID

Affiliation:

1. ERCİYES ÜNİVERSİTESİ

2. ERCIYES UNIVERSITY

Abstract

In recent years, scientific papers pay attention to quality-of-life indicators beyond GDP-based measurements. Material and non-material indicators have become significant parts of life quality evaluations. The economic security concept developed by European Commission consists of disposable income and economic risk measurement. Economic security is also one of the top priorities for the European Union (EU) to achieve its goals and increase its competitiveness in the world economy. EU measures economic security, in the member countries and candidates through some indicators as a sub-dimension under quality-of-life indicators. The aim of this paper is to show the changing relative performance of the old members and the new members of the EU. While the countries that joined the EU before 2004 are accepted as old members, the countries that joined the EU after 2004 are accepted as new members. In relation with this division, Germany, France, Italy, Belgium, Netherlands, Luxembourg, Ireland, Denmark, Greece, Spain, Portugal, Sweden, Austria and Finland are accepted as old members. However, Slovenia, Slovakia, Estonia, Latvia, Lithuania, Cyprus, Malta, Poland, Hungary, Czechia, Bulgaria, Romania, Croatia are the new members. We used two multivariate statistical methods, principal components analysis, and cluster analysis to show the relative and changing performance of the member countries for the years 2008 and 2021. The aim of using principal components analysis is twofold. The first aim is to decrease the dimensionality before cluster analysis. The second aim is to rank the countries in terms of chosen indicators. However, the aim of cluster analysis is to group the countries which have similar performance. According to principal components analysis results, Luxembourg is the most successful country in terms of the variables used to represent economic security and physical safety in the EU. Netherlands, Czechia, Germany, and Sweden are the countries that have the highest rankings. However, Greece is the only country with the lowest economic security and physical safety levels. Countries are grouped under four clusters.

Publisher

Nicel Bilimler Dergisi based at ESOGU Istatistik Danismanlik Uygulama ve Arastirma Merkezi

Subject

Psychiatry and Mental health,Neuropsychology and Physiological Psychology

Reference36 articles.

1. Ahmed, T., Shaffer, P., Connelly, K., Crandall, D. and Kapadia, A. (2016), Addressing physical safety, security and privacy for people with visual impairments, Twelfth Symposium on usable privacy and security (SOUPS 2016), June 22-24, USA.

2. Artis, M. J. and Zang, W. (1998), Core and periphery in EMU: A cluster analysis. METU conference on Economics, METU, Ankara.

3. Atik, H. and Collis, C. (2000), Core and the periphery in the European Union information economy: A multivariate analysis, Yapı Kredi Economic Review, 11(2), 3-20.

4. Bosworth, K., Ford, L. and Hernandaz, D. (2011), School climate factors contributing to student and faculty perceptions of safety in select Arizona schools. Journal of School Health, 81(4), 194-201.

5. Cantó, O., García-Pérez, C. and Romaguera-de-la-Cruz, M. (2020), The dimension, nature, and distribution of economic insecurity in European countries: A multidimensional approach, Economic systems, 44(3), 100807.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3