为土耳其定义和发展农村指数

IF 0.8 Q3 GEOGRAPHY
O. Sungur, Merve Kilinc
{"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}
引用次数: 0

摘要

正确定义“农村”一词,确定各省/地区的农村水平,对有效的区域/农村规划至关重要。一个明确而一致的农村指数将有助于提出当前地区农村水平和执行适当的农村发展政策。在本研究中,制定了一个乡村性指数,并在土耳其的省级计算乡村性水平。作为多准则决策技术,熵和TOPSIS方法被用于研究。在四个部分中使用了18个变量,分别是:(1)人口统计,(2)经济,(3)农业和畜牧业活动,(4)城市化和基础设施。根据农村水平对各省进行了排名,并将其分为五类,并为土耳其绘制了农村地图。预计研究结果将对决策者有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.80
自引率
28.60%
发文量
16
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信