Integrate feedback Benin
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@ -23,12 +23,14 @@ with the reduction threatened to be slowed further through increased prices on f
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```{python}
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#| label: fig-ben
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#| fig-cap: "Gini index of consumption per capita for Benin. Source: Author's elaboration based on UNU-WIDER WIID (2022)."
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plot_consumption_gini_percapita(ben)
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gni_cnsmpt = ben[ben['resource'].str.contains("Consumption")]
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gni_cnsmpt_percapita = gni_cnsmpt[gni_cnsmpt['scale'].str.contains("Per capita")]
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gini_plot(gni_cnsmpt_percapita)
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```
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<!-- poverty -->
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Based on its national poverty line, Benin's overall poverty rate is 38.5%,
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though it hides a strong spatial disparity between rural and urban households with 44.2% to 31.4% households in poverty respectively [@WorldBank2022b].
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though it hides a strong spatial disparity in the incidence of poverty between rural (44.2%) and urban (31.4) areas [@WorldBank2022b].
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Looking at the effect of income growth on the time to exit poverty,
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@Alia2017 finds a general negative correlation with stronger growth indeed leading to shorter average exit times (7-10 years for a household at a per capita growth rate of 4.2%),
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though this aggregate also hides a large heterogeneity primarily determined by a households size, its available human capital and whether it is located rurally.
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@ -39,8 +41,8 @@ are in danger of being left further behind during periods of overall growth.
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with efforts to open up communities to harness the benefits of growth often primarily targeted at rural communities.
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<!-- drivers: endowment/assets: education, ..? -->
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For the household-level factor of education for this disparity,
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the Learning Poverty index shows that in Benin 56% of children at late primary age are not proficient in reading,
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Using the Learning Poverty index, which combines the share of school deprivation (the share of primary-aged children out-of-school) and learning deprivation (share of pupils below a minimum proficiency in reading),
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a @WorldBank2022a report shows that 56% of children at late primary age in Benin are not proficient in reading,
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55% do not achieve minimum proficiency levels at the end of primary school and 3% of primary school-aged children are not enrolled in school at all.
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<!-- TODO These levels are higher than in Uganda, though, since ... gender dimension? -->
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Looking purely at attendance rates, @McNabb2018 finds that the primary household-level determinants of attendance are the wealth of a household, its religion, as well as the education level of its household head.
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@ -54,6 +56,8 @@ the difference in school quality is large,
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marked by high socio-economic segregation between schools,
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and primarily determined through an unequal distribution of teaching resources including teachers and textbooks.
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### Inequalities in access to electricity
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<!-- electricity access -->
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Thus, while growth is generally pro-poor in Benin, its primary determinants do not cluster only at the household level,
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but are comprised of partly household-level but especially community-level differences.
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@ -63,8 +67,7 @@ are the primary determinants, ahead even of access to a health facility in the c
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Access to electricity in the country especially underlies a large heterogeneity based on location.
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The overall level of electrification of Benin has been rising slowly ---
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though outpacing population growth ---
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from 22% in 2000 to 26% in 2005, 34% in 2010, a regression to 30% in 2015 and a faster increase to 40% in 2019, however,
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there is a broad difference of electrification levels between urban (65%) and rural (17%) regions remaining [@WorldBank2021].
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from 22% in 2000 to 26% in 2005, 34% in 2010, a decline to 30% in 2015 and then a faster increase to 40% in 2019, altough a broad difference in electrification levels between urban (65%) and rural (17%) regions remain [@WorldBank2021].
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In rural areas there are generally three approaches to electrification that work outside of a connection to the main grid,
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individual installation of solar panels or generators for smaller electric appliances,
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collective solutions like kiosks offering electric charging for some cost,
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@ -87,13 +90,13 @@ and an overall lack of affordable financing solutions.
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<!-- conclusion -->
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Thus, though having a relatively stable and growing real GDP,
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Benin suffers from slow decreases in its relative poverty rates coupled with a relative stagnation in the inequality of its wealth dispersion.
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Benin suffers from slow decreases in its poverty rates coupled with a relative unchanged income inequality.
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Additionally, the country's poverty rates have a high heterogeneity with relatively more rural households and households with poor education in poverty.
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A large part of education disparities happens at the community-level, with schools marked by high socio-economic segregation,
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but household-level disparities, especially environmental ones, playing a role.
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One of those determinants is a household's access to electricity,
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of which there is an enormous disparity between urban and rural households.
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The primary reasons for not having access to electricity are simple physical non-availability with no infrastructure being available in rural areas,
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The primary reasons for not having access to electricity are the lack of physical infrastructure available in rural areas,
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as well as connection costs to the main electrical grid being too high.
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To decrease the effects of this driving force of inequality,
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both infrastructural expansion as well as policy commitments toward affordable connections to electrical grids are thus of vital importance.
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