2019
DOI: 10.1038/s41893-019-0231-4
|View full text |Cite
|
Sign up to set email alerts
|

Income-based variation in Sustainable Development Goal interaction networks

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

10
127
1
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 187 publications
(139 citation statements)
references
References 30 publications
10
127
1
1
Order By: Relevance
“…In sum, our analysis is of great significance, as it sheds new light on the comprehensive understanding of vulnerability contexts and disaster management capability. Moreover, it is noteworthy that SL encompasses the economic, social, and environmental aspects, which are also key hurdles to achieve the SDGs [60,61]. Among these, environmental systems are difficult to be separated, as they are usually interlinked [62].…”
Section: Discussionmentioning
confidence: 99%
“…In sum, our analysis is of great significance, as it sheds new light on the comprehensive understanding of vulnerability contexts and disaster management capability. Moreover, it is noteworthy that SL encompasses the economic, social, and environmental aspects, which are also key hurdles to achieve the SDGs [60,61]. Among these, environmental systems are difficult to be separated, as they are usually interlinked [62].…”
Section: Discussionmentioning
confidence: 99%
“…Quantitative analyses of interlinkages among SDGs Targets typically use indicator data on a set of Targets to understand statistical correlation, locally or globally (e.g. [16][17][18] ). Qualitative analyses (to which this Perspective contributes) typically use expert elicitations and surveys and look for published evidence of interlinkages among Targets.…”
Section: Climate Change Action and The Sdgsmentioning
confidence: 99%
“…Thus, indicators of outcomes in agricultural systems should not be assessed individually but rather systematically, considering interactions among indicators and their underlying causes. We suggest future research does so using a transparent and replicable method, as we have done here, ideally based on quantitative data for observed trends in the indicators (e.g., from Eurostat) rather than only on expert opinion (e.g., compare the quantitative and transparent method of Lusseau & Mancini, 2019, to the qualitative and subjective method of Nilsson et al, 2016).…”
Section: Limitationsmentioning
confidence: 99%