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...
Gespeichert in:
Veröffentlicht in: | European planning studies 2004-12, Vol.12 (8), p.1133-1144 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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. |
doi_str_mv | 10.1080/0965431042000289250 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_0965431042000289250</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>777236891</sourcerecordid><originalsourceid>FETCH-LOGICAL-c281t-ae162147f7601611745ddcaf5fff24250cda6cfe082a442531e27ad42d0a49f33</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWKufwEvwvppks9uuB8H_CgUP1vMyZidt2t2kJtlKwQ9vaj2Kp2GY33vDe4SccnbO2ZhdsKosZM6ZFIwxMa5EwfbIgMuyyopKyn0y2BJZQvJDchTCgjEuiqIckK87jOg7Y42d0dCbCO8tUmPXGGKHNlLwCIH2YXvv-jaabA3e_FAhQjQhGgUt7TDOXRMuKa5Ng1Yh1d51NM6R3rSglvQVgXqcGWeTO532fombY3KgoQ148juH5O3hfnr7lE1eHp9vryeZEmMeM0BeCi5HelQyXnI-kkXTKNCF1lrIlFU1UCqNbCxApj3nKEbQSNEwkJXO8yE52_muvPvoU7J64Xpv08tapNJSd-UWyneQ8i4Ej7peedOB39Sc1duW6z9aTqqrncpY7XwHn863TR1h0zqvPVhlQp3_Z_ANH6OEXA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>210465463</pqid></control><display><type>article</type><title>Determining suitable investment areas using multi-variable statistical methods: evidence from the Black Sea region in Turkey</title><source>PAIS Index</source><source>Business Source Complete</source><creator>Akyüz, Kadri Cemil ; Akyüz, İlker ; Cavrar, Çiğdem ; Serin, Hasan ; Cindik, Hicabi</creator><creatorcontrib>Akyüz, Kadri Cemil ; Akyüz, İlker ; Cavrar, Çiğdem ; Serin, Hasan ; Cindik, Hicabi</creatorcontrib><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.</description><identifier>ISSN: 0965-4313</identifier><identifier>EISSN: 1469-5944</identifier><identifier>DOI: 10.1080/0965431042000289250</identifier><language>eng</language><publisher>Abingdon: Taylor and Francis Ltd</publisher><subject>Economic development ; Economic theory ; Investment ; Manufacturing ; Principal components analysis ; Provinces ; Statistical analysis ; Studies</subject><ispartof>European planning studies, 2004-12, Vol.12 (8), p.1133-1144</ispartof><rights>Copyright Taylor & Francis Group, LLC 2004</rights><rights>Copyright Carfax Publishing Company Dec 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c281t-ae162147f7601611745ddcaf5fff24250cda6cfe082a442531e27ad42d0a49f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27866,27924,27925</link.rule.ids></links><search><creatorcontrib>Akyüz, Kadri Cemil</creatorcontrib><creatorcontrib>Akyüz, İlker</creatorcontrib><creatorcontrib>Cavrar, Çiğdem</creatorcontrib><creatorcontrib>Serin, Hasan</creatorcontrib><creatorcontrib>Cindik, Hicabi</creatorcontrib><title>Determining suitable investment areas using multi-variable statistical methods: evidence from the Black Sea region in Turkey</title><title>European planning studies</title><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.</description><subject>Economic development</subject><subject>Economic theory</subject><subject>Investment</subject><subject>Manufacturing</subject><subject>Principal components analysis</subject><subject>Provinces</subject><subject>Statistical analysis</subject><subject>Studies</subject><issn>0965-4313</issn><issn>1469-5944</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kE9LAzEQxYMoWKufwEvwvppks9uuB8H_CgUP1vMyZidt2t2kJtlKwQ9vaj2Kp2GY33vDe4SccnbO2ZhdsKosZM6ZFIwxMa5EwfbIgMuyyopKyn0y2BJZQvJDchTCgjEuiqIckK87jOg7Y42d0dCbCO8tUmPXGGKHNlLwCIH2YXvv-jaabA3e_FAhQjQhGgUt7TDOXRMuKa5Ng1Yh1d51NM6R3rSglvQVgXqcGWeTO532fombY3KgoQ148juH5O3hfnr7lE1eHp9vryeZEmMeM0BeCi5HelQyXnI-kkXTKNCF1lrIlFU1UCqNbCxApj3nKEbQSNEwkJXO8yE52_muvPvoU7J64Xpv08tapNJSd-UWyneQ8i4Ej7peedOB39Sc1duW6z9aTqqrncpY7XwHn863TR1h0zqvPVhlQp3_Z_ANH6OEXA</recordid><startdate>20041201</startdate><enddate>20041201</enddate><creator>Akyüz, Kadri Cemil</creator><creator>Akyüz, İlker</creator><creator>Cavrar, Çiğdem</creator><creator>Serin, Hasan</creator><creator>Cindik, Hicabi</creator><general>Taylor and Francis Ltd</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>8BJ</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20041201</creationdate><title>Determining suitable investment areas using multi-variable statistical methods: evidence from the Black Sea region in Turkey</title><author>Akyüz, Kadri Cemil ; Akyüz, İlker ; Cavrar, Çiğdem ; Serin, Hasan ; Cindik, Hicabi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c281t-ae162147f7601611745ddcaf5fff24250cda6cfe082a442531e27ad42d0a49f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Economic development</topic><topic>Economic theory</topic><topic>Investment</topic><topic>Manufacturing</topic><topic>Principal components analysis</topic><topic>Provinces</topic><topic>Statistical analysis</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akyüz, Kadri Cemil</creatorcontrib><creatorcontrib>Akyüz, İlker</creatorcontrib><creatorcontrib>Cavrar, Çiğdem</creatorcontrib><creatorcontrib>Serin, Hasan</creatorcontrib><creatorcontrib>Cindik, Hicabi</creatorcontrib><collection>CrossRef</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>European planning studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akyüz, Kadri Cemil</au><au>Akyüz, İlker</au><au>Cavrar, Çiğdem</au><au>Serin, Hasan</au><au>Cindik, Hicabi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining suitable investment areas using multi-variable statistical methods: evidence from the Black Sea region in Turkey</atitle><jtitle>European planning studies</jtitle><date>2004-12-01</date><risdate>2004</risdate><volume>12</volume><issue>8</issue><spage>1133</spage><epage>1144</epage><pages>1133-1144</pages><issn>0965-4313</issn><eissn>1469-5944</eissn><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. Gümüşhane and Bayburt were determined to have the highest priority for investment in the manufacturing industry.</abstract><cop>Abingdon</cop><pub>Taylor and Francis Ltd</pub><doi>10.1080/0965431042000289250</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0965-4313 |
ispartof | European planning studies, 2004-12, Vol.12 (8), p.1133-1144 |
issn | 0965-4313 1469-5944 |
language | eng |
recordid | cdi_crossref_primary_10_1080_0965431042000289250 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T08%3A40%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determining%20suitable%20investment%20areas%20using%20multi-variable%20statistical%20methods:%20evidence%20from%20the%20Black%20Sea%20region%20in%20Turkey&rft.jtitle=European%20planning%20studies&rft.au=Aky%C3%BCz,%20Kadri%20Cemil&rft.date=2004-12-01&rft.volume=12&rft.issue=8&rft.spage=1133&rft.epage=1144&rft.pages=1133-1144&rft.issn=0965-4313&rft.eissn=1469-5944&rft_id=info:doi/10.1080/0965431042000289250&rft_dat=%3Cproquest_cross%3E777236891%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=210465463&rft_id=info:pmid/&rfr_iscdi=true |