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Policy coherence to achieve the SDGs: using integrated simulation models to assess effective policies

Overview of attention for article published in Sustainability Science, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
5 policy sources
twitter
8 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
192 Dimensions

Readers on

mendeley
444 Mendeley
Title
Policy coherence to achieve the SDGs: using integrated simulation models to assess effective policies
Published in
Sustainability Science, July 2017
DOI 10.1007/s11625-017-0457-x
Pubmed ID
Authors

David Collste, Matteo Pedercini, Sarah E. Cornell

Abstract

Coherently addressing the 17 Sustainable Development Goals requires planning tools that guide policy makers. Given the integrative nature of the SDGs, we believe that integrative modelling techniques are especially useful for this purpose. In this paper, we present and demonstrate the use of the new System Dynamics based iSDG family of models. We use a national model for Tanzania to analyse impacts of substantial investments in photovoltaic capacity. Our focus is on the impacts on three SDGs: SDG 3 on healthy lives and well-being, SDG 4 on education, and SDG 7 on energy. In our simulations, the investments in photovoltaics positively affect life expectancy, years of schooling and access to electricity. More importantly, the progress on these dimensions synergizes and leads to broader system-wide impacts. While this one national example illustrates the anticipated impact of an intervention in one specific area on several SDGs, the iSDG model can be used to support similar analyses for policies related to all the 17 SDGs, both individually and concurrently. We believe that integrated models such as the iSDG model can bring interlinks to the forefront and facilitate a shift to a discussion on development grounded in systems thinking.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 444 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 15%
Student > Ph. D. Student 65 15%
Student > Master 57 13%
Student > Bachelor 25 6%
Student > Doctoral Student 24 5%
Other 70 16%
Unknown 137 31%
Readers by discipline Count As %
Environmental Science 54 12%
Social Sciences 52 12%
Engineering 34 8%
Economics, Econometrics and Finance 30 7%
Business, Management and Accounting 30 7%
Other 80 18%
Unknown 164 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2023.
All research outputs
#1,554,464
of 25,837,817 outputs
Outputs from Sustainability Science
#125
of 959 outputs
Outputs of similar age
#29,766
of 329,024 outputs
Outputs of similar age from Sustainability Science
#4
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,024 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.