{"title":"为土耳其定义和发展农村指数","authors":"O. Sungur, Merve Kilinc","doi":"10.37043/jura.2022.14.1.7","DOIUrl":null,"url":null,"abstract":"Correctly defining the term “rural” and determining the rurality level of provinces/regions are very important for an effective regional/rural planning. A well-defined and consistent rurality index will be useful in putting forward the current rurality level of regions and in implementing appropriate rural development policies. In this study, a rurality index was developed, and the rurality level was calculated at provincial level in Turkey. As Multi-Criteria Decision-Making techniques, Entropy and TOPSIS methods were used in the study. Eighteen variables were used under four sections, which are: (1) demographic, (2) economic, (3) agriculture and livestock activities, and (4) urbanization and infrastructure. Provinces were ranked and divided into five categories according to their rurality level and a rurality map was created for Turkey. It is also expected that the results would be useful for policy makers.","PeriodicalId":54010,"journal":{"name":"Journal of Urban and Regional Analysis","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DEFINING AND DEVELOPING A RURALITY INDEX FOR TURKEY\",\"authors\":\"O. Sungur, Merve Kilinc\",\"doi\":\"10.37043/jura.2022.14.1.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Correctly defining the term “rural” and determining the rurality level of provinces/regions are very important for an effective regional/rural planning. A well-defined and consistent rurality index will be useful in putting forward the current rurality level of regions and in implementing appropriate rural development policies. In this study, a rurality index was developed, and the rurality level was calculated at provincial level in Turkey. As Multi-Criteria Decision-Making techniques, Entropy and TOPSIS methods were used in the study. Eighteen variables were used under four sections, which are: (1) demographic, (2) economic, (3) agriculture and livestock activities, and (4) urbanization and infrastructure. Provinces were ranked and divided into five categories according to their rurality level and a rurality map was created for Turkey. It is also expected that the results would be useful for policy makers.\",\"PeriodicalId\":54010,\"journal\":{\"name\":\"Journal of Urban and Regional Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Urban and Regional Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37043/jura.2022.14.1.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Urban and Regional Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37043/jura.2022.14.1.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
DEFINING AND DEVELOPING A RURALITY INDEX FOR TURKEY
Correctly defining the term “rural” and determining the rurality level of provinces/regions are very important for an effective regional/rural planning. A well-defined and consistent rurality index will be useful in putting forward the current rurality level of regions and in implementing appropriate rural development policies. In this study, a rurality index was developed, and the rurality level was calculated at provincial level in Turkey. As Multi-Criteria Decision-Making techniques, Entropy and TOPSIS methods were used in the study. Eighteen variables were used under four sections, which are: (1) demographic, (2) economic, (3) agriculture and livestock activities, and (4) urbanization and infrastructure. Provinces were ranked and divided into five categories according to their rurality level and a rurality map was created for Turkey. It is also expected that the results would be useful for policy makers.