Assessment of urban development: A composite indicator analysis of the safe city index through the ‘benefit of the doubt’ model

IF 1.1 Q4 MANAGEMENT Tec Empresarial Pub Date : 2023-09-04 DOI:10.18845/te.v17i3.6849
Nadine Burgoa, Andre Rosado
{"title":"Assessment of urban development: A composite indicator analysis of the safe city index through the ‘benefit of the doubt’ model","authors":"Nadine Burgoa, Andre Rosado","doi":"10.18845/te.v17i3.6849","DOIUrl":null,"url":null,"abstract":"This study employs the ‘benefit of the doubt’ (BOD) weighting model to build a composite indicator to evaluate urban development in 60 cities located around the world for 2021. The results of the empirical application based on the data provided by The Economist (i.e., safe city index) reveal the informative power of the proposed composite indicator, relative to models using equal weight restrictions. Findings indicate that there are significant efficiency differences among the analyzed cities, and that cities follow different strategic pathways when it comes to design urban policies. This suggests that there is much scope for strategic and effective support policy in many cities. The results of the study highlight that an analysis based on the BOD approach may offer useful information to policy makers on what strategic actions may potentially optimize the allocation of local resources and, subsequently, enhance urban development.","PeriodicalId":42185,"journal":{"name":"Tec Empresarial","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tec Empresarial","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18845/te.v17i3.6849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

Abstract

This study employs the ‘benefit of the doubt’ (BOD) weighting model to build a composite indicator to evaluate urban development in 60 cities located around the world for 2021. The results of the empirical application based on the data provided by The Economist (i.e., safe city index) reveal the informative power of the proposed composite indicator, relative to models using equal weight restrictions. Findings indicate that there are significant efficiency differences among the analyzed cities, and that cities follow different strategic pathways when it comes to design urban policies. This suggests that there is much scope for strategic and effective support policy in many cities. The results of the study highlight that an analysis based on the BOD approach may offer useful information to policy makers on what strategic actions may potentially optimize the allocation of local resources and, subsequently, enhance urban development.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
城市发展评价:基于“无罪推定”模型的安全城市指数综合指标分析
本研究采用“无罪推定”(BOD)加权模型构建了一个综合指标,对全球60个城市2021年的城市发展进行了评估。基于《经济学人》提供的数据(即安全城市指数)的实证应用结果揭示了所提出的综合指标相对于使用等权限制的模型的信息能力。研究结果表明,所分析的城市之间存在显著的效率差异,城市在设计城市政策时遵循不同的战略路径。这表明,在许多城市,有很大的空间可以制定战略性和有效的支持政策。研究结果强调,基于按需发展方法的分析可能为决策者提供有用的信息,说明哪些战略行动可能优化当地资源的分配,从而促进城市发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Tec Empresarial
Tec Empresarial MANAGEMENT-
CiteScore
1.80
自引率
0.00%
发文量
6
审稿时长
16 weeks
期刊最新文献
Green Business Strategy and its effect on Financial Performance: The mediating role of Corporate Social Responsibility Industries, frameworks, and key drivers of lean startup: a systematic literature review Board leadership in global ventures: A bibliometric analysis Brand equity and purchase decision of fast-moving consumer goods Regional endogenous development in Chile: a simulation analysis of two models of allocation of public funds
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1