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.

Highlights

  • Addressing the 17 Sustainable Development Goals requires planning tools that guide policy makers

  • 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

  • We present the newly developed Threshold 21 iSDG model. iSDG is a flexibly structured System Dynamics based model designed to explore scenarios for policy integration to achieve the SDGs

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Summary

System dynamics

System Dynamics is a discipline and a systems analysis approach that is used to study behavioural patterns of systems. System dynamics typically use both cognitive maps, such as causal loop diagrams, and simulation models. Models, the mathematical representations are combined with interfaces that make the assumptions about causalities explicit. This typically enables exploring different what-if questions and performing sensitivity tests to explore potential system-level leverage points. System dynamics models consist of series of integrals, referred to as stocks or accumulations; and derivatives, referred to as flows (Axelrod 2003; Ford 2009; Sterman 2000; Meadows 2008; Richardson 2005). Model validity requires having a thorough and well-supported theory of causality in addition to more quantifiable validation criteria (Barlas 1996)

The iSDG model
Life expectancy
Mapping causalities
The effect of electricity access on life expectancy
The effect of electricity access on average years of schooling
The effect of life expectancy on years of schooling
Resulting links
No expenditure for large scale photovoltaic capacity
Findings
Conclusions
Full Text
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