scholarly journals Aid, Multidimensional Poverty and Growth: Reversing the Micro-Macro Paradox in Guinea, Liberia and Sierra Leone

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
José María Larrú ◽  
Carlos Quesada González

This article analyses whether Official Development Assistance (ODA) is linked to multidimensional poverty indicators in the context of the 2030 Agenda for Sustainable Development, the Sustainable Development Indictors and the principles stated by the Global Partnership for Effective Development Co-operation. Focused on three western Sub-Saharan Africa and least developing countries such as Guinea, Liberia and Sierra Leone, this article uses Error Correction Vector Model to estimate if ODA and economic growth are cointegrated and a sectoral and spatial analysis to check if ODA are linked to Multidimensional Poverty Indicators in the sample countries. Despite the 2014 Ebola outbreak, the three countries have achieved noticeable good results in poverty alleviation. Results shows a certain macro-micro paradox because, despite a common trend between aid and growth identified at the macro level, we cannot find any sign of ODA contributions to the multidimensional poverty indicators when the micro level analysis is carried out. Our results may serve to increase the level of implementation of the ownership principle for effective development co-operation and achieve a significant improvement of several goals and targets included on the 2030 Agenda.

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Dominik Dietler ◽  
Andrea Farnham ◽  
Georg Loss ◽  
Günther Fink ◽  
Mirko S. Winkler

Abstract Background Access to improved water and sanitation infrastructures are key determinants of health. The sub-Saharan African region in particular is lagging behind the ambitious goal of the 2030 Agenda for Sustainable Development to ensure universal access to improved and reliable water and sanitation for all (Sustainable Development Goal (SDG) 6). Large mining projects can promote economic growth and hence investments in water and sanitation infrastructures, but at the same time lead to rapid population growth and environmental degradation. In turn, these changes can pose risks and opportunities for child health (SDG 3). In this study we aim to quantify the impacts of mining projects on access to water and sanitation infrastructure as well as diarrhea and malnutrition among children using data from 131 Demographic and Health Surveys from sub-Saharan Africa. Results From a sample of around 1.2 million households, data within the proximity of 52 mine-panels were selected for longitudinal analyses, resulting in 41,896 households and 32,112 children. Improvements in access to modern water and sanitation infrastructures after mine opening were much larger in households near mining sites than in comparison areas located further away (adjusted relative risk ratio (aRRR) water: 18.60, 95 % confidence interval (CI): 13.08–26.46 and aRRR sanitation: 2.56, 95 % CI: 1.32–4.99). However, these associations were weaker among poorer households. In areas close to the mining sites, stunting and underweight prevalence decreased more strongly upon mine opening (adjusted odds ratio (aOR) stunting: 0.62, 95 % CI: 0.43–0.90; aOR underweight: 0.55, 95 % CI: 0.36–0.84). No differential changes were seen for wasting and diarrhea. Large impact heterogeneity was observed both within and across countries. Conclusions Our results suggest that the opening of mines is associated with improvements in access to modern water and sanitation infrastructures (SDG 6) as well as in some health outcomes (SDG 3). However, the large impact heterogeneity suggests that the assessment and management of mining-related impacts on communities should have an increased equity-focus, in order to “leave no one behind” in the work towards the 2030 Agenda for Sustainable Development. Overall, the findings of this study underscore that the resource extraction sector has the potential to make positive and substantial contributions towards achieving the SDGs.


2019 ◽  
Vol 35 (2) ◽  
pp. 256-281
Author(s):  
Theresa Moyo ◽  
Rogers Dhliwayo

Despite the progress that has been made towards achieving gender equality and the empowerment of women and girls in sub-Saharan Africa (SSA), evidence shows that gender disparities remain persistent in most countries. The aim of the article is to identify lessons from the experiences of those countries which have made considerable progress in bridging the gender gap. More specifically, the article seeks to identify strategies that will enable SSA countries to achieve the gender equality goal in the United Nations 2030 Agenda for Sustainable Development.


2020 ◽  
Vol 151 (2) ◽  
pp. 547-574 ◽  
Author(s):  
Lukas Salecker ◽  
Anar K. Ahmadov ◽  
Leyla Karimli

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mamuda Aminu ◽  
Sarah Bar-Zeev ◽  
Sarah White ◽  
Matthews Mathai ◽  
Nynke van den Broek

Abstract Background Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This study aimed to identify the cause of stillbirths in low- and middle-income settings and compare methods of assessment. Methods This was a prospective, observational study in 12 hospitals in Kenya, Malawi, Sierra Leone and Zimbabwe. Stillbirths (28 weeks or more) were reviewed to assign the cause of death by healthcare providers, an expert panel and by using computer-based algorithms. Agreement between the three methods was compared using Kappa (κ) analysis. Cause of stillbirth and level of agreement between the methods used to assign cause of death. Results One thousand five hundred sixty-three stillbirths were studied. The stillbirth rate (per 1000 births) was 20.3 in Malawi, 34.7 in Zimbabwe, 38.8 in Kenya and 118.1 in Sierra Leone. Half (50.7%) of all stillbirths occurred during the intrapartum period. Cause of death (range) overall varied by method of assessment and included: asphyxia (18.5–37.4%), placental disorders (8.4–15.1%), maternal hypertensive disorders (5.1–13.6%), infections (4.3–9.0%), cord problems (3.3–6.5%), and ruptured uterus due to obstructed labour (2.6–6.1%). Cause of stillbirth was unknown in 17.9–26.0% of cases. Moderate agreement was observed for cause of stillbirth as assigned by the expert panel and by hospital-based healthcare providers who conducted perinatal death review (κ = 0.69; p < 0.0005). There was only minimal agreement between expert panel review or healthcare provider review and computer-based algorithms (κ = 0.34; 0.31 respectively p < 0.0005). Conclusions For the majority of stillbirths, an underlying likely cause of death could be determined despite limited diagnostic capacity. In these settings, more diagnostic information is, however, needed to establish a more specific cause of death for the majority of stillbirths. Existing computer-based algorithms used to assign cause of death require revision.


2010 ◽  
Vol 15 (1) ◽  
Author(s):  
Wilna Oldewage-Theron ◽  
Tielman J.C. Slabbert

Despite the large number of people currently living in poverty in sub-Saharan Africa, the debate about the definition and meaning of poverty continues. Two distinct problems exist regarding the measurement of poverty, namely the difficulty of identifying the poor in a population and the difficulty in developing an index for the measurement of poverty. The main objective of the survey was to apply a poverty model for determining the depth of poverty in an informal settlement in the Vaal Region, as well as the impact of possible income-generating activities on the community. A questionnaire, which had been devised for measuring poverty indicators, was administered to 429 randomly selected households in the informal settlement, with the poverty model being applied to measure the degree of poverty. The results of the survey showed that 286 households lived in poverty at the time. The impact of extra income on the poverty levels of these 286 households was then determined. The results of the survey also showed that the unemployment level was 91% and that the mean monthly income was R612.50. The average poverty gap was R1017.21, with the poverty gap ratio being 56%. The poverty model showed that an increase of R500 in monthly household income resulted in a poverty gap ratio of 35%. The results indicated that the community was a poverty-stricken community, suffering from chronic food insecurity. The results of the study will be used to facilitate the planning and implementation of sustainable, income-generating, community-based interventions aimed at promoting urban food security and alleviating poverty in the community in question. OpsommingTen spyte van die groot hoeveelheid mense wat steeds wêrelwyd in armoede leef, duur die debat oor die definisie en betekenis van armoede nog altyd voort. Daar word twee definitiewe probleme met die meting van armoede ervaar, naamlik die identifisering van die armes in 'n gemeenskap, en die ontwikkeling van 'n indeks vir die meet van armoede. Die hoofdoel van hierdie studie was om 'n armoedemodel vir die dieptemeting van armoede in 'n informele nedersetting in die Vaal-area toe te pas, en om die impak van moontlike aktiwiteite wat inkomste genereer in dieselfde gemeenskap te bepaal. 'n Vraelys wat ontwerp is om armoede aan te dui en te meet is ewekansig aan 429 huishoudings in die informele nedersetting uitgedeel om te voltooi en die armoedemodel is toegepas om die diepte van armoede te meet. Die resultate het getoon dat 286 huishoudings in armoede leef. Die impak van ekstra inkomste op armoedevlakke is in die 286 huishoudings bepaal. Die resultate het verder getoon dat die werkloosheidsvlak 91% was en dat die gemiddelde maandelikse huishoudelike inkomste R612.50 was. Die gemiddelde armoedegaping was R1017.21, met 'n armoedegapingverhouding van 56%. Die armoedemodel het getoon dat 'n verhoging van R500 in maandelikse huishoudelike inkomste die armoedegapingverhouding na 35% verlaag het. Die resultate het bewys dat hierdie 'n armoedige gemeenskap met kroniese voedselonsekerheid was. Die uitkoms van die studie sal gebruik word vir die beplanning en implementering van gemeenskapgebaseerde ingrypings om volhoubare inkomste te genereer om stedelike voedselsekerheid te bevorder en die armoede in hierdie gemeenskap te verlig.


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