Wilts, Rienne: Computable General Equilibrium assessment of Sustainable Development Goals in low-income countries with household detail. - Bonn, 2025. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-82516
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-82516
@phdthesis{handle:20.500.11811/13023,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-82516,
author = {{Rienne Wilts}},
title = {Computable General Equilibrium assessment of Sustainable Development Goals in low-income countries with household detail},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2025,
month = apr,
note = {The major crises of our time, such as climate change, hunger, political tensions, and poverty, are linked by various channels, such as diseases, markets, and emissions. Through these connections, they have causes and implications both at the local and the global level. Targeting among others these challenges, the Sustainable Development Goals (SDGs) are an unprecedented common agreement to reach a more sustainable and equal future by 2030. With 17 single goals and 169 specifying targets, the SDGs are closely connected through synergies and trade-offs. Therefore, accounting for their multi-dimensionality and complying with their central pledge to leave no one behind in future actions is a daunting yet crucial task.
Countries face different hurdles in tackling the crises and reaching the SDGs, with low- and lower-middle income countries being among the most vulnerable. However, also withincountry inequality leads to varying responses to exogenous shocks of their population. Thus, this dissertation applies and extends the Computable General Equilibrium model CGEBox in three dynamic assessments to shed light on both country- and household-level effects.
As people experience diverse impacts from climate change, Chapter 2 assesses nine different household types in Vietnam, Ethiopia, and Bolivia to determine the channels of vulnerability to crop yield changes in 2050. The results demonstrate that households with lower absolute income and income sourcing from agricultural activities are most affected and, thus, underline the im-portance of land ownership. Another driver of the effect on households is changes in cereal yields, revealed by a comparison of three different yield shocks to account for uncertainties about climate change effects, stressing the importance of diversified food consumption.
To improve the quantification of SDGs in dynamic analysis, in Chapter 3, an indicator framework is developed that captures 15 of the 17 SDGs. The total of 68 indicators put a special focus on agricultural aspects and incorporate distribution at the household level through a postmodel micro-simulation. Employing the indicators in three development pathways until 2050 for ten low- and lower-middle income countries reveals that the indicators are not reached in unison and that none of the scenarios outperforms the others with regard to its sustainability. Also, at the household level, inequality partly increases both on the income and consumption side, indicating the need to implement measures to overcome central trade-offs among and within SDGs, but also across households.
Mitigation policies, such as the EU Bioeconomy Strategy, have global spillovers. Therefore, Chapter 4 focuses on the effects of three EU bioeconomy policies on their SDGs and those of ten low- and lower-middle income countries. Fostering a technological shift in biomass inputs in three sectors triggers more trade-offs between selected indicators and the Strategy’s objectives in the EU than a tax reduction. Promoting vegetarian diets causes partly opposing effects, highlighting potential benefits from combined implementation. None of the policies induce purely positive spillovers for the ten countries in focus, highlighting conflicts with their development. Ex-tending the assessment to all OCED countries underlines the relevance of the EU for global spillovers.
Overall, the dissertation contributes knowledge about differences in the response of countries and households to shocks and highlights the political need to take (side-)effects of political interventions and development processes at different levels into account.},
url = {https://hdl.handle.net/20.500.11811/13023}
}
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-82516,
author = {{Rienne Wilts}},
title = {Computable General Equilibrium assessment of Sustainable Development Goals in low-income countries with household detail},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2025,
month = apr,
note = {The major crises of our time, such as climate change, hunger, political tensions, and poverty, are linked by various channels, such as diseases, markets, and emissions. Through these connections, they have causes and implications both at the local and the global level. Targeting among others these challenges, the Sustainable Development Goals (SDGs) are an unprecedented common agreement to reach a more sustainable and equal future by 2030. With 17 single goals and 169 specifying targets, the SDGs are closely connected through synergies and trade-offs. Therefore, accounting for their multi-dimensionality and complying with their central pledge to leave no one behind in future actions is a daunting yet crucial task.
Countries face different hurdles in tackling the crises and reaching the SDGs, with low- and lower-middle income countries being among the most vulnerable. However, also withincountry inequality leads to varying responses to exogenous shocks of their population. Thus, this dissertation applies and extends the Computable General Equilibrium model CGEBox in three dynamic assessments to shed light on both country- and household-level effects.
As people experience diverse impacts from climate change, Chapter 2 assesses nine different household types in Vietnam, Ethiopia, and Bolivia to determine the channels of vulnerability to crop yield changes in 2050. The results demonstrate that households with lower absolute income and income sourcing from agricultural activities are most affected and, thus, underline the im-portance of land ownership. Another driver of the effect on households is changes in cereal yields, revealed by a comparison of three different yield shocks to account for uncertainties about climate change effects, stressing the importance of diversified food consumption.
To improve the quantification of SDGs in dynamic analysis, in Chapter 3, an indicator framework is developed that captures 15 of the 17 SDGs. The total of 68 indicators put a special focus on agricultural aspects and incorporate distribution at the household level through a postmodel micro-simulation. Employing the indicators in three development pathways until 2050 for ten low- and lower-middle income countries reveals that the indicators are not reached in unison and that none of the scenarios outperforms the others with regard to its sustainability. Also, at the household level, inequality partly increases both on the income and consumption side, indicating the need to implement measures to overcome central trade-offs among and within SDGs, but also across households.
Mitigation policies, such as the EU Bioeconomy Strategy, have global spillovers. Therefore, Chapter 4 focuses on the effects of three EU bioeconomy policies on their SDGs and those of ten low- and lower-middle income countries. Fostering a technological shift in biomass inputs in three sectors triggers more trade-offs between selected indicators and the Strategy’s objectives in the EU than a tax reduction. Promoting vegetarian diets causes partly opposing effects, highlighting potential benefits from combined implementation. None of the policies induce purely positive spillovers for the ten countries in focus, highlighting conflicts with their development. Ex-tending the assessment to all OCED countries underlines the relevance of the EU for global spillovers.
Overall, the dissertation contributes knowledge about differences in the response of countries and households to shocks and highlights the political need to take (side-)effects of political interventions and development processes at different levels into account.},
url = {https://hdl.handle.net/20.500.11811/13023}
}