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inputs/libraries/afd-dev-research.bib
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@ -1,4 +1,29 @@
@article{Alia2017,
title = {Progress {{Toward The Sustainable Development Goal}} on {{Poverty}}
: {{Assessing The Effect}} of {{Income Growth}} on {{The Exit Time}}
from {{Poverty}} in {{Benin}}: {{Exit Time Out}} of {{Poverty}} in {
{Benin}}},
shorttitle = {Progress {{Toward The Sustainable Development Goal}} on {{
Poverty}}},
author = {Alia, Didier Yelognisse},
date = {2017-11},
journaltitle = {Sustainable Development},
shortjournal = {Sust. Dev.},
volume = {25},
number = {6},
pages = {495--503},
issn = {09680802},
doi = {10.1002/sd.1674},
langid = {english},
groups = {benin},
timestamp = {2022-08-17T17:17:03Z},
file = {Alia2017_Progress Toward The Sustainable Development Goal on
Poverty.pdf:/home/marty/Zotero/storage/5NKMQYPC/Alia2017_Progress
Toward The Sustainable Development Goal on
Poverty.pdf:application/pdf},
}
@book{Asaba2013,
title = {Gender, Power and Local Water Governance in Rural {{Uganda}}},
author = {Asaba, Richard Bagonza},
@ -463,6 +488,28 @@
education is not helping the poor.pdf:application/pdf},
}
@article{Djossou2017,
title = {Is {{Growth Pro-Poor}} in {{Benin}}? {{Evidence Using}} a {{
Multidimensional Measure}} of {{Poverty}}: {{Is Growth Pro-Poor}} in
{{Benin}}?},
shorttitle = {Is {{Growth Pro-Poor}} in {{Benin}}?},
author = {Djossou, Gbetoton Nadege and Kane, Gilles Quentin and Novignon,
Jacob},
date = {2017-12},
journaltitle = {Poverty \& Public Policy},
volume = {9},
number = {4},
pages = {426--443},
issn = {19442858},
doi = {10.1002/pop4.199},
langid = {english},
groups = {benin},
timestamp = {2022-08-17T17:16:37Z},
file = {Djossou2017_Is Growth Pro-Poor in
Benin.pdf:/home/marty/Zotero/storage/BGZ6SI3H/Djossou2017_Is Growth
Pro-Poor in Benin.pdf:application/pdf},
}
@article{Do2022,
title = {Livestock Production and Income Inequality in Rural {{Vietnam}}},
author = {Do, Truong Lam and Nguyen, Trung Thanh and Grote, Ulrike},
@ -670,6 +717,48 @@
inequality report 2005.pdf:application/pdf},
}
@article{Gruijters2020,
title = {Learning {{Inequality}} in {{Francophone Africa}}: {{School Quality
}} and the {{Educational Achievement}} of {{Rich}} and {{Poor
Children}}},
shorttitle = {Learning {{Inequality}} in {{Francophone Africa}}},
author = {Gruijters, Rob J. and Behrman, Julia A.},
date = {2020-07},
journaltitle = {Sociology of Education},
shortjournal = {Sociol Educ},
volume = {93},
number = {3},
pages = {256--276},
issn = {0038-0407, 1939-8573},
doi = {10.1177/0038040720919379},
abstract = {Influential reports about the “learning crisis” in the global
South generally pay insufficient attention to social inequalities
in learning. In this study, we explore the association between
family socioeconomic status and learning outcomes in 10
francophone African countries using data from the Programme for
the Analysis of Education Systems, a standardized assessment of
pupils’ mathematics and reading competence at the end of primary
school. We start by showing that learning outcomes among grade 6
pupils are both poor and highly stratified. We then develop and
test a conceptual framework that highlights three mechanisms
through which family socioeconomic status might contribute to
learning: (1) educational resources at home, (2) health and
well-being, and (3) differences in school quality. We find that
most of the effect of family background on learning outcomes
operates through school quality, which results from a combination
of the unequal distribution of resources (such as teachers and
textbooks) across schools and high socioeconomic segregation
between schools. On the basis of these results, we suggest that
most countries in the region could improve equity as well as
overall performance by “raising the floor” in school quality.},
langid = {english},
groups = {benin},
timestamp = {2022-08-17T17:17:42Z},
file = {Gruijters2020_Learning Inequality in Francophone
Africa.pdf:/home/marty/Zotero/storage/IL6LR44L/Gruijters2020_Learning
Inequality in Francophone Africa.pdf:application/pdf},
}
@article{HoNgocSon2013Vart,
title = {Vulnerability and Resilience to Climate Change in the Northern
Mountainous Region of {{Vietnam}}},
@ -1362,6 +1451,30 @@
},
}
@article{McNabb2018,
title = {Exploring Regional and Gender Disparities in {{Beninese}} Primary
School Attendance: A Multilevel Approach},
shorttitle = {Exploring Regional and Gender Disparities in {{Beninese}}
Primary School Attendance},
author = {McNabb, Kyle},
date = {2018-09-03},
journaltitle = {Education Economics},
shortjournal = {Education Economics},
volume = {26},
number = {5},
pages = {534--556},
issn = {0964-5292, 1469-5782},
doi = {10.1080/09645292.2018.1426732},
langid = {english},
groups = {benin},
timestamp = {2022-08-17T17:16:50Z},
file = {McNabb2018_Exploring regional and gender disparities in Beninese
primary school
attendance.pdf:/home/marty/Zotero/storage/GGSIGNY3/McNabb2018_Exploring
regional and gender disparities in Beninese primary school
attendance.pdf:application/pdf},
}
@article{MinhHo2021,
title = {{{DOES GOVERNMENT SPENDING ON EDUCATION AFFECT PROVINCIAL INCOME
INEQUALITY IN VIETNAM}}?},
@ -1880,6 +1993,48 @@
hazard's effect and farmers' perception.pdf:application/pdf},
}
@article{Rateau2022,
title = {Electrifying Urban {{Africa}}: Energy Access, City-Making and
Globalisation in {{Nigeria}} and {{Benin}}},
shorttitle = {Electrifying Urban {{Africa}}},
author = {Rateau, Mélanie and Choplin, Armelle},
date = {2022-01-01},
journaltitle = {International Development Planning Review},
shortjournal = {International Development Planning Review},
volume = {44},
number = {1},
pages = {55--80},
issn = {1478-3401, 1474-6743},
doi = {10.3828/idpr.2021.4},
abstract = {Electricity access has become a crucial issue in global South
cities. While demand is growing, conventional grids are failing
or insufficient, especially in Africa. Urban dwellers therefore
have to develop a wide range of (in)formal infrastructures to
meet their daily electricity needs. Building on recent studies on
urban electricity in the global South, this paper aims to
contribute to the debates on hybrid forms of electricity
provision by analysing the diffusion of solar panels and
generators in two cities, Ibadan in Nigeria and Cotonou in Benin.
Although neighbouring and relatively similar, these two cities
illustrate distinct daily electrical lives. In Nigeria, an
electricity-exporting country, people face daily power outages.
In Benin, a country that depends on Nigeria for its supply, there
is electricity but it is difficult to connect to the grid because
of connection costs. Based on an empirical study, the article
shows that Ibadan’s inhabitants use generators as a complement to
a conventional grid that is almost universal but unreliable. In
Cotonou, solar energy is an alternative until they can connect to
the grid. Generators and solar panels have become the material
markers of urban Africa, providing information on inequalities in
access to electricity.},
langid = {english},
groups = {benin},
timestamp = {2022-08-17T17:08:43Z},
file = {Rateau2022_Electrifying urban
Africa.pdf:/home/marty/Zotero/storage/MDMADPTM/Rateau2022_Electrifying
urban Africa.pdf:application/pdf},
}
@article{Rietveld2022,
title = {Predictable Patterns of Unsustainable Intensification},
author = {Rietveld, Anne M and Groot, Jeroen CJ and van der Burg, Margreet},
@ -2230,6 +2385,50 @@
Uganda.pdf:application/pdf},
}
@article{VanDePoel2009,
title = {What Explains the Rural-Urban Gap in Infant Mortality: {{Household}
} or Community Characteristics?},
shorttitle = {What Explains the Rural-Urban Gap in Infant Mortality},
author = {Van De Poel, Ellen and O'donnell, Owen and Van Doorslaer, Eddy},
date = {2009-11-01},
journaltitle = {Demography},
volume = {46},
number = {4},
pages = {827--850},
issn = {0070-3370, 1533-7790},
doi = {10.1353/dem.0.0074},
abstract = {Abstract The rural-urban gap in infant mortality rates is
explained by using a new decomposition method that permits
identification of the contribution of unobserved heterogeneity at
the household and the community level. Using Demographic and
Health Survey data for six Francophone countries in Central and
West sub-Saharan Africa, we find that differences in the
distributions of factors that determine mortality-not differences
in their effects-explain almost the entire gap. Higher infant
mortality rates in rural areas mainly derive from the rural
disadvantage in household characteristics, both observed and
unobserved, which explain two-thirds of the gap. Among the
observed characteristics, environmental factors-a safe source of
drinking water, electricity, and quality of housing materials-are
the most important contributors. Community characteristics
explain less than onequarter of the gap, with about two-thirds of
this coming from community unobserved heterogeneity and one-third
from the existence of a health facility within the community. The
effect of disadvantageous environmental conditions-such as
limited electricity and water supply-derives both from a lack of
community-level infrastructure and from the inability of some
households to exploit it when available. Policy needs to operate
at both the community and household levels to correct such
deficiencies.},
langid = {english},
groups = {benin},
timestamp = {2022-08-17T17:09:59Z},
file = {Van De Poel2009_What explains the rural-urban gap in infant
mortality.pdf:/home/marty/Zotero/storage/T48RNP2K/Van De
Poel2009_What explains the rural-urban gap in infant
mortality.pdf:application/pdf},
}
@article{vandeVen2021,
title = {Living Income Benchmarking of Rural Households in Low-Income
Countries},
@ -2491,6 +2690,39 @@
Learning Poverty Brief.pdf:application/pdf},
}
@report{WorldBank2022a,
title = {Benin - {{Learning Poverty Brief}}},
author = {WorldBank},
date = {2022},
institution = {{World Bank}},
location = {{Washington, D.C.}},
url = {
http://documents.worldbank.org/curated/en/099021407212243534/IDU01dbf45100704f046410bb6f03c4c1cb85588
},
keywords = {inequality::education,topic::education},
groups = {benin},
timestamp = {2022-08-17T17:19:54Z},
file = {WorldBank2022_Benin - Learning Poverty
Brief.pdf:/home/marty/Zotero/storage/LY2GR4JD/IDU0a960da5e00c480470b0b12000d21e24bee43.pdf:application/pdf
},
}
@report{WorldBank2022b,
title = {Macro {{Poverty Outlook}} for {{Benin}} : {{April}} 2022},
author = {WorldBank},
date = {2022},
institution = {{World Bank}},
location = {{Washington, D.C.}},
url = {
http://documents.worldbank.org/curated/en/099930404182210208/IDU0ef8057e509b5f0432c0b50d00f85b54deb33
},
groups = {benin},
timestamp = {2022-08-17T17:21:10Z},
file = {WorldBank2022_Macro Poverty Outlook for
Benin.pdf:/home/marty/Zotero/storage/EWU6G456/IDU0ef8057e509b5f0432c0b50d00f85b54deb33.pdf:application/pdf
},
}
@article{Yikii2017,
title = {Prevalence of Household Food Insecurity in Wetland Adjacent Areas
of {{Uganda}}},
@ -2567,6 +2799,7 @@
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}