Determining suitable investment areas using multi-variable statistical methods: Evidence from the Black Sea Region in Turkey

AKYUZ K. C., Akyuz I., CAVRAR C., SERIN H., CINDIK H.

EUROPEAN PLANNING STUDIES, vol.12, no.8, pp.1133-1144, 2004 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 12 Issue: 8
  • Publication Date: 2004
  • Doi Number: 10.1080/0965431042000289250
  • Journal Name: EUROPEAN PLANNING STUDIES
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.1133-1144
  • Karadeniz Technical University Affiliated: Yes

Abstract

Investment is an important decision for economic development, balanced growth and public welfare. There are many factors influencing investment. Thus, investment must be evaluated with multidimensional methods. Using taxonomy and principal component analysis this study attempts to determine appropriate investment areas in planned provinces in the Black Sea Region. Analyses were based on a number of demographic, economic, health, education, employment and cultural indicators. Results indicated that provinces were grouped into four clusters. Gumushane and Bayburt were determined to have the highest priority for investment in the manufacturing industry.