Exploring the interdependencies among social progress index (SPI) components and their impact on country-level sustainability performance based on Bayesian Belief Network

Q1 Social Sciences
Abroon QAZI
{"title":"Exploring the interdependencies among social progress index (SPI) components and their impact on country-level sustainability performance based on Bayesian Belief Network","authors":"Abroon QAZI","doi":"10.1016/j.regsus.2025.100230","DOIUrl":null,"url":null,"abstract":"<div><div>The social progress index (SPI) measures social and environmental performance beyond traditional economic indicators, providing transparent and actionable insights into the true condition of societies. This study investigates the interdependencies among SPI components and their impact on country-level sustainability performance. Using a Bayesian Belief Network (BBN) approach, the analysis explores the interdependencies among 12 SPI components (including advanced education, basic education, environmental quality, freedom and choice, health, housing, inclusive society, information and communications, nutrition and medical care, rights and voice, safety, and water and sanitation) and their collective influence on sustainability performance. Data from the Sustainable Development Report and SPI datasets, covering 162 countries (including Australia, China, United Arab Emirates, United Kingdom, United States, and so on), were used to assess the relative importance of each SPI component. The key findings indicate that advanced education, inclusive society, and freedom and choice make substantial contributions to high sustainability performance, whereas deficiencies in nutrition and medical care, water and sanitation, and freedom and choice are associated with poor sustainability performance. The results reveal that sustainability performance is shaped by a network of interlinked SPI components, with education and inclusion emerging as key levers for progress. The study emphasizes that targeted improvements in specific SPI components can significantly enhance a country’s overall sustainability performance. Rather than visualizing countries’ progress through composite indicator-based heat maps, this study explores the interdependencies among SPI components and their role in sustainability performance at the global level. The study underscores the importance of a multidimensional policy approach that addresses social and environmental factors to enhance sustainability. The findings contribute to a deeper understanding of how SPI components interact and shape sustainable development.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"6 3","pages":"Article 100230"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Sustainability","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666660X25000386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

The social progress index (SPI) measures social and environmental performance beyond traditional economic indicators, providing transparent and actionable insights into the true condition of societies. This study investigates the interdependencies among SPI components and their impact on country-level sustainability performance. Using a Bayesian Belief Network (BBN) approach, the analysis explores the interdependencies among 12 SPI components (including advanced education, basic education, environmental quality, freedom and choice, health, housing, inclusive society, information and communications, nutrition and medical care, rights and voice, safety, and water and sanitation) and their collective influence on sustainability performance. Data from the Sustainable Development Report and SPI datasets, covering 162 countries (including Australia, China, United Arab Emirates, United Kingdom, United States, and so on), were used to assess the relative importance of each SPI component. The key findings indicate that advanced education, inclusive society, and freedom and choice make substantial contributions to high sustainability performance, whereas deficiencies in nutrition and medical care, water and sanitation, and freedom and choice are associated with poor sustainability performance. The results reveal that sustainability performance is shaped by a network of interlinked SPI components, with education and inclusion emerging as key levers for progress. The study emphasizes that targeted improvements in specific SPI components can significantly enhance a country’s overall sustainability performance. Rather than visualizing countries’ progress through composite indicator-based heat maps, this study explores the interdependencies among SPI components and their role in sustainability performance at the global level. The study underscores the importance of a multidimensional policy approach that addresses social and environmental factors to enhance sustainability. The findings contribute to a deeper understanding of how SPI components interact and shape sustainable development.
基于贝叶斯信念网络的社会进步指数(SPI)各成分之间的相互依赖关系及其对国家级可持续发展绩效的影响
社会进步指数(SPI)衡量的是超越传统经济指标的社会和环境绩效,为了解社会的真实状况提供了透明和可操作的见解。本研究探讨社会进步指数各成分之间的相互依存关系及其对国家可持续发展绩效的影响。利用贝叶斯信念网络(BBN)方法,该分析探讨了12个SPI组成部分(包括高等教育、基础教育、环境质量、自由和选择、健康、住房、包容性社会、信息和通信、营养和医疗保健、权利和发言权、安全、水和卫生设施)之间的相互依赖关系,以及它们对可持续发展绩效的集体影响。来自可持续发展报告和SPI数据集的数据,涵盖162个国家(包括澳大利亚、中国、阿拉伯联合酋长国、英国、美国等),用于评估每个SPI成分的相对重要性。主要调查结果表明,先进的教育、包容性社会以及自由和选择对可持续发展的高绩效做出了重大贡献,而营养和医疗、水和卫生以及自由和选择方面的不足与可持续发展的低绩效有关。结果表明,可持续发展绩效是由相互关联的社会进步指数组成的网络形成的,教育和包容成为进步的关键杠杆。该研究强调,有针对性地改善特定SPI成分可以显著提高一个国家的整体可持续性绩效。本研究不是通过基于综合指标的热图来可视化各国的进展,而是探讨社会进步指数组成部分之间的相互依赖关系及其在全球可持续发展绩效中的作用。该研究强调了一种解决社会和环境因素以提高可持续性的多维政策方法的重要性。这些发现有助于更深入地了解SPI成分如何相互作用并塑造可持续发展。
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 求助全文
来源期刊
Regional Sustainability
Regional Sustainability Social Sciences-Urban Studies
CiteScore
3.70
自引率
0.00%
发文量
20
审稿时长
21 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:604180095
Book学术官方微信