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

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 appropri...

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Veröffentlicht in:European planning studies 2004-12, Vol.12 (8), p.1133-1144
Hauptverfasser: Akyüz, Kadri Cemil, Akyüz, İlker, Cavrar, Çiğdem, Serin, Hasan, Cindik, Hicabi
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container_end_page 1144
container_issue 8
container_start_page 1133
container_title European planning studies
container_volume 12
creator Akyüz, Kadri Cemil
Akyüz, İlker
Cavrar, Çiğdem
Serin, Hasan
Cindik, Hicabi
description 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. Gümüşhane and Bayburt were determined to have the highest priority for investment in the manufacturing industry.
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source PAIS Index; Business Source Complete
subjects Economic development
Economic theory
Investment
Manufacturing
Principal components analysis
Provinces
Statistical analysis
Studies
title Determining suitable investment areas using multi-variable statistical methods: evidence from the Black Sea region in Turkey
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