Evaluation of the prosperity levels of eu and eu candidate countries by clustering and psi method (Handbook of Research on Social and Economic Development in the European Union)
Yazarlar (3)
Öğr. Gör. Dr. İbrahim BUDAK Pamukkale Üniversitesi, Türkiye
Öğr. Gör. Günay Kiliç Pamukkale Üniversitesi, Türkiye
Prof. Dr. Arzu Organ Pamukkale Üniversitesi, Türkiye
Bölüm Adı Evaluation of the prosperity levels of eu and eu candidate countries by clustering and psi method
Kitap Adı Handbook of Research on Social and Economic Development in the European Union
Bölüm Sayfaları 81-98
Kitap Türü Kitap Bölümü
Kitap Alt Türü Alanında uluslararası yayınlanan kitap bölümü
Kitap Niteliği Scopus indeksinde taranan bilimsel kitap
Kitap Dili İngilizce Basım Tarihi 11-2019
DOI Numarası 10.4018/978-1-7998-1188-6.ch005 ISBN 9781799811886, 9781799811909
Basıldığı Ülke Basıldığı Şehir
Kitap Linki http://www.scopus.com/inward/record.url?eid=2-s2.0-85136880762&partnerID=MN8TOARS
UAK Araştırma Alanları
Sosyal, Beşeri ve İdari Bilimler
Özet
Although prosperity is often associated with the word wealth, it also includes other factors that may be independent of wealth, such as happiness and health. The prosperity state can be defined as a developing, growing, wealth state and a successful social status. Increasing the levels of prosperity is a goal of states. States can create communities in cooperation with other states to improve their level of prosperity. One of these communities is the European Union (EU), which is established by European states. This chapter evaluates the position of EU member states and EU candidate countries' prosperity levels compared to world states. In the study, 2018 Legatum Institute prosperity index of 149 countries was used. These countries are divided into groups by using clustering analysis from data mining techniques. The countries are evaluated using the Preference Selective Index (PSI).
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 2
Evaluation of the prosperity levels of eu and eu candidate countries by clustering and psi method

Paylaş