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Section 3 presents the theoretical framework of agricultural modernization, while Sect. 4 explains the features of the CGE-microsimulation model and presents an analytical framework for pro-poor analysis.
This paper applies the framework for pro-poor analysis to welfare changes from a CGE-microsimulation model to analyze what are the better or worse models for agriculture modernization, and to estimate the contribution of growth and redistribution to changes in poverty in DRC.
I extend the pro-poor growth analysis by looking at the determinants of pro-poor technological change at household level.
In order to understand how inclusive the different schemes of technological and institutional changes are, in this section I apply the framework of pro-poor growth analysis on the welfare gains from the CGE results.
More importantly, it reflects and encourages poor analysis.
The scheme includes some pro poor elements, such as the government subsidy to the poor provinces.
Our analysis reveals that from a pro-poor perspective, the performance of means-tested tariffs is mixed.
While the impacts of these policies on pro-poor growth will be the focus of this analysis, it is important that I discuss first the macroeconomic and sectoral effects of the experiments.
I continued the analysis by investigating quantitatively the determinants of pro-poor growth, using welfare changes from labor-using technological change.
Analysis using this index indicated that livelihoods, pro-poor participation, tenure arrangements, transaction and opportunity costs, payment structures and government policy were perceived as most important to stakeholders.
The analysis that follows explores the extent to which the proposed pro-poor health insurance scheme is actually covering the poor and vulnerable in Ghana's most impoverished region.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com