Factors affecting rural development in turkey: Bartin case study

dc.authoridAtmiş, Erdoğan/0000-0002-0300-4096
dc.authoridDaşdemir, İsmet/0000-0002-3170-644X
dc.authorid, bulentyilmaz/0000-0002-8873-453X
dc.authorwosidAtmiş, Erdoğan/HTS-5694-2023
dc.authorwosidDaşdemir, İsmet/ABP-6877-2022
dc.authorwosid, bulentyilmaz/AAA-5075-2021
dc.contributor.authorYilmaz, Buelent
dc.contributor.authorDasdemir, Ismet
dc.contributor.authorAtmis, Erdogan
dc.contributor.authorLise, Wietze
dc.date.accessioned2024-08-04T20:32:22Z
dc.date.available2024-08-04T20:32:22Z
dc.date.issued2010
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe aim of this study is to establish the most important factors affecting rural development in Turkey by means of a multi-dimensional approach and to achieve realistic and practical rural development strategies using these factors. For this purpose, a total of 96 villages are selected fully covering two counties in the Bartin province located in the Western Black Sea Region of Turkey, which is among the provinces with the lowest per capita income and the highest share of village population. 36 variables which characterise the level of development in villages are developed. These variables are measuring environmental, economic and socio-cultural dimensions and the relationships among them. Principal component and regression analyses are applied determining that there are 12 factors affecting development of the villages. These are (1) geographical location, (2) size of a village, (3) productivity of land, (4) type of land use, (5) active population. (6) poplar production areas, (7) proximity to a river, (8) housing comfort, (9) characteristics of drinking water, (10) productive fruit areas, (11) cooperativization and (12) social infrastructure investments. Based on these 12 factors, a development index (DI) is developed consisting of the 12 variables with the highest factor loading in each derived factor. Villages are divided into three groups based on (1) the DI values and (2) 36 variables used in a discriminant analysis, showing that the proposed DI is a reliable index to measure variation in development. According to these results, development strategies for each village group are put forth. Subsequently, the methodology developed in this paper can be used to monitor village development and to assist in effective use of resources for sustainable forestry and development in Turkey. (C) 2010 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.forpol.2010.02.003
dc.identifier.endpage249en_US
dc.identifier.issn1389-9341
dc.identifier.issn1872-7050
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-77950349725en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage239en_US
dc.identifier.urihttps://doi.org/10.1016/j.forpol.2010.02.003
dc.identifier.urihttps://hdl.handle.net/11616/95014
dc.identifier.volume12en_US
dc.identifier.wosWOS:000277702300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofForest Policy and Economicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSustainable rural developmenten_US
dc.subjectVillageen_US
dc.subjectEconomic-social and environmental indicatorsen_US
dc.subjectResource allocationen_US
dc.subjectTurkeyen_US
dc.titleFactors affecting rural development in turkey: Bartin case studyen_US
dc.typeArticleen_US

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