A multi‐perspective composite assessment framework for prioritizing targets of sustainable development goals

可持续发展 排名(信息检索) 管理科学 卫生 计算机科学 秩(图论) 过程管理 透视图(图形) 风险分析(工程) 业务 人工智能 工程类 政治学 数学 组合数学 环境工程 法学
作者
Yizhong Huan,Lingqing Wang,Mark A. Burgman,Haitao Li,Yurong Yu,Jianpeng Zhang,Tao Liang
出处
期刊:Sustainable Development [Wiley]
卷期号:30 (5): 833-847 被引量:35
标识
DOI:10.1002/sd.2283
摘要

Abstract The 17 Sustainable Development Goals (SDGs) and 169 targets proposed in 2015 are wide ranging and achieving them before 2030 may require extraordinarily high costs. Prioritizing a more manageable and logical sequence of SDGs targets based on national conditions is critical to reduce the complexity of SDGs, lower costs, ensure transitions are efficient, and accelerate implementation. Researchers have proposed a range of methods to rank the prioritizations of SDGs from different perspectives. Unfortunately, prioritizations of SDGs arising from different methods are not entirely consistent due to the limitations of each method. Therefore, an integrated methodological framework is required to reconcile these inconsistencies. To fill this research gap, we synthesized several methods to create a new composite assessment framework to prioritize SDGs targets. The framework consists of assessment models from three perspectives, including the impact of targets in a network composed of the interactions between targets, the gap between the targets' current and ideal performances, and the urgency of improving participation by government and society in achieving the targets. We then tested the effectiveness of this assessment framework empirically by ranking prioritizations for six targets of SDG 6 (clean water and sanitation) in Southeast Asia. Empirical results show that target 6.5 has the highest priority, followed by targets 6.4 and 6.6, while the lowest ranking target is 6.1. Finally, we outlined the advantages and limitations of each assessment method to assist stakeholders in using and broadening this composite assessment framework in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
khaihay完成签到 ,获得积分10
1秒前
1秒前
3秒前
益安完成签到,获得积分10
3秒前
4秒前
科研通AI6.1应助GuOdoNG采纳,获得10
5秒前
研酒生完成签到 ,获得积分10
5秒前
Felix0917发布了新的文献求助10
5秒前
5秒前
ximo完成签到,获得积分10
6秒前
orixero应助肖豆豆采纳,获得10
7秒前
Sarah完成签到,获得积分10
7秒前
7秒前
7秒前
万能图书馆应助月初采纳,获得10
8秒前
小k发布了新的文献求助10
8秒前
沫沫发布了新的文献求助10
8秒前
心想事成完成签到,获得积分10
9秒前
鲤鱼钰钰完成签到,获得积分10
9秒前
上官若男应助xinxin123采纳,获得10
9秒前
mm完成签到,获得积分10
9秒前
YU发布了新的文献求助10
10秒前
NexusExplorer应助Vivian采纳,获得30
10秒前
充电宝应助益安采纳,获得10
10秒前
ySX应助简单采纳,获得10
11秒前
11秒前
esther颖发布了新的文献求助10
11秒前
微风不燥完成签到 ,获得积分10
12秒前
12秒前
12秒前
12秒前
quhayley完成签到,获得积分0
12秒前
圈圈完成签到,获得积分10
12秒前
LLL完成签到,获得积分10
13秒前
aliye完成签到,获得积分10
13秒前
zz完成签到,获得积分10
14秒前
科目三应助无情的山雁采纳,获得30
14秒前
小晓完成签到,获得积分20
14秒前
Wellbeing完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics: A Practical Guide 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6400775
求助须知:如何正确求助?哪些是违规求助? 8217602
关于积分的说明 17414697
捐赠科研通 5453797
什么是DOI,文献DOI怎么找? 2882298
邀请新用户注册赠送积分活动 1858872
关于科研通互助平台的介绍 1700612