Decentralization and rural service delivery in Uganda:

Decentralization, Development strategies, rural service delivery,

Explaining Poverty in Uganda: Evidence from the Uganda National Household Survey

The broad aim of the research was to establish a tool for identifying cost effective poverty alleviation strategies in Uganda. The objectives were to test hypotheses on causes of poverty in Uganda and to develop a poverty simulation model for policy analysis. Data for 9,710 households from the 2002/2003 Uganda National Household Survey (UNHS) was used to estimate a semi-log econometric model. The model included 19 households level characteristics and 8 community level characteristics as explanatory variables. The dependent variable was the natural logarithm of household consumption per adult equivalent. The model was estimated at both national and regional (5 regions) by weighted least squares with robust variance. The results identified 8 particularly promising poverty reducing policies namely: expansion of formal employment, secondary education, reduction in population growth, rural electrification, off-farm activities, collateral free credit, telephone services and reducing distance to community services. The study highlights the policy implications of the results.Food Security and Poverty,

Determinants of Land Use in the Densely Populated Kigezi Highlands of Southwestern Uganda

We use a multinominal logit model to examine the determinants of plot abandonment (unintentional fallows) and long fallows (intentional fallows) in order to propose policy interventions that lead to optimal and sustainable management of land use systems in Kigezi highlands. Household factors such as age, and post primary education positively influenced farmers' decision to abandon plots. Therefore, more fallows and abandoned terraces were common with older farmers compared to younger ones. However, farm size and household type had no significant influence on abandonment of plots. Plot variables such as slope and plot distance had the expected positive signs while soil fertility had a significant negative sign as predicted. Two types of interventions are recommended. Those aimed at highly cultivable, moderate slopes and those aimed at uncultivable and fragile areas. For the former, the probability of adoption and intensity of use of appropriate agrobased interventions is likely to be very high. The latter require specific interventions that are profitable and yet allowing farmers to keep the land under cover for a very long time. Furthermore, we recommend incentives aimed at minimizing distances to plot fields.abandoned terraces, Land use, Kigezi Highlands, multinominal logit, Land Economics/Use,

Determinants of Wellbeing Among Smallholders in Adjumani District, Uganda

An ordered logistic regression model was used to empirically establish the quantitative effects of community identified (local) determinants of wellbeing on the level of household wellbeing. The model was fitted to data for a sample of 200 households collected in the last quarter of 2002. The dependent variable, poverty category, has three levels namely poorest =1, Less poor =2, and Better off =3. Fourteen independent variables are used. Results show that households that own less than 5 acreage of land, that are male headed, have a nonagricultural source of income and are actively involved in agricultural development activities have a higher probability (odds) of enjoying wellbeing above any given level. Land ownership seems to be the most important determinant of wellbeing in Adjumani district. Furthermore, owning livestock and having a household head with an education level of secondary school and above are also important determinants of household wellbeing in Adjumani district. We find household wellbeing to be negatively affected by household size, age of the household head and whether any family member has had any long illness although only the age of the household is significant. We recommend deepening of the Universal Primary Education (UPE) and initiation of Universal Secondary Education to increase the education levels of the rural people. We also recommend continued and expansion of community level agricultural development activities, strengthening of the land tenure provisions to enhance access to land and initiation of programs to enhance animal ownership among small holder farmers in Adjumani.Adjumani, poverty analysis, DASS, ordinal logit, Consumer/Household Economics,

Analysis of profit inefficiency in rice production in Eastern and Northern Uganda

Rice is among the emerging crops in Uganda that play an important role both as a food and a cash crop. It ranks fourth among the cereal crops in area cultivated, occupying a total of 80 thousand hectares of land with an estimated annual output of 120,000 metric tonnes. The study analyses sources of technical and allocative inefficiency and estimates the magnitude of profit losses and suggests policy interventions. A stochastic profit function and inefficiency function are estimated using cross-sectional data from a sample of 253 households from three districts of Eastern and Northern Uganda. The results show that rice farmers are not operating on the profit frontier. The main causes of inefficiency are firm-specific which include low education and limited access to extension services. These two factors have hampered the attainment of reasonable technical and allocative efficiency. From these results, it is clear that improvement in profit efficiency would require focused programmes to increase access to education and extension services

ASSESSING CLIMATE CHANGE IMPACTS AND ADAPTATION STRATEGIES FOR SMALLHOLDER AGRICULTURAL SYSTEMS IN UGANDA

The debate on whether climate change will impact on peoples\u2019 livelihoods and, hence, the need to act is essentially over and has instead shifted to the development of strategies needed by different regions and countries to adapt to climate change effects. However, there is still scanty information necessary to ably address climate change related issues. There is a considerable knowledge gap with respect to climate change impact, vulnerability and adaptation to increased climate variability and change. In this paper, using the trade off analysis model, the impact of climate change on peoples\u2019 livelihoods and possible adaptation strategies to increase the resilience and sustainability of agricultural systems in three regions of Uganda (central, Masaka and southwest) are analysed. The results show that 70-97% of households will be adversely affected by climate change in Uganda. The southwest will be most affected due to smaller farm sizes and limited livelihood alternatives. There will be no positive gains from encroaching on swamps, which is one of the reported adaptation strategies to climate related stresses. Improving productivity of important crops (bananas for southwest, and sweet potatoes and bananas for central region), in addition to adoption of grade cattle will likely be a better adaptation strategy for climate change.Le d\ue9bat sur le fait que le changement climatique pourra affecter le mode de vie des populations et, ainsi la n\ue9cessit\ue9 d\u2019agir est arriv\ue9 et consiste \ue0 d\ue9velopper des strat\ue9gies en rapport avec les besoins de diff\ue9rentes r\ue9gions et pays pour l\u2019adaptation aux effets du changement climatique. Cependant, les informations disponibles sont encore insuffisantes afin d\u2019adresser correctement les probl\ue8mes y relatifs. Il existe tant de lacunes sur les connaissances en rapport avec les impacts du changement climatique, la vuln\ue9rabilit\ue9 et l\u2019adaptation \ue0 la variabilit\ue9 et changement climatique accrus. En utilisant le mod\ue8le du trade off analysis, cet article a analys\ue9 l\u2019impact du changement climatique sur le mode de vie des populations et des strat\ue9gies possibles d\u2019adaptation, afin d\u2019am\ue9liorer la r\ue9silience et la durabilit\ue9 des syst\ue8mes culturaux dans les trois r\ue9gions de l\u2019Ouganda (Centre, Masaka et sud- ouest). Les r\ue9sultats montrent que 70-97% des m\ue9nages seront touch\ue9s par des effets du changement climatique en Ouganda. Le sud-ouest sera le plus affect\ue9 par suite de tailles petites de ses exploitations et son mode de vie \ue0 moyens alternatifs limit\ue9s. L\u2019invasion des marais ne rapportera aucun gain positif qui est une des strat\ue9gies d\u2019adaptation indiqu\ue9es au stress climatique relatif. L\u2019am\ue9lioration de la productivit\ue9 des cultures importantes (bananiers au Sud-ouest, et les patates douces et le bananier dans la r\ue9gion centrale) en plus de l\u2019adoption des vaches am\ue9lior\ue9es pourra serait une meilleur strat\ue9gie d\u2019adaptation au changement climatique

DETERMINANTS OF CLIMATE CHANGE ADAPTATION AMONG MALE AND FEMALE HEADED FARM HOUSEHOLDS IN EASTERN UGANDA

Adaptation is considered an appropriate response to climate change and variability, especially for the smallholder farmers. However, the response decisions and actions of male and female farmers may be influenced by various factor and factor combinations that are not adequately understood. We hypothesized that both male and female farmers are climate change conscious and responsive; and that there is a gender dimension to the choice of a climate change adaptation strategy. We utilised a combination of descriptive statistics and logistic regression analysis to study the factors that influence the choice of a decision to adapt to a climate change scenario. Using cross-sectional data collected from 136 households in eastern Uganda, we undertook the analysis at two levels; pooled sample analysis and a gender disaggregated analysis. Contrary to perceived wisdom and evidence from other empirical studies, the factors that influence the climate change adaptation decision vary considerably between male and female household heads. Climate change adaptation decisions of female heads depended on and were sensitive to more covariates compared to the decisions of male heads of household. Furthermore, climate change adaptation decisions of female heads were influenced by more liquid household assets, while those of male heads were influenced by real estate, especially land. Additionally, beyond gender, other demographic factors appeared to play no significant role in the decision to adapt to climate change.L\u2019adaptation est consid\ue9r\ue9e comme \ue9tant une r\ue9ponse appropri\ue9e au changement et \ue0 la variabilit\ue9 climatique, sp\ue9cialement pour les petits fermiers. Par ailleurs, les d\ue9cisions de la r\ue9ponse et les actions entreprises par les hommes et les femmes seraient influenc\ue9es par des facteurs vari\ue9s et une combinaison des facteurs on encore ad\ue9quatement compris. Nous avons pos\ue9s des hypoth\ue8ses selon lesquelles les fermiers hommes et femmes sont conscients du changement climatique et y r\ue9agissent cons\ue9quemment. Aussi, il existe une dimension du genre face au choix d\u2019une strat\ue9gie d\u2019adaptation au changement climatique. Nous avons utilis\ue9 une combinaison de la statistique descriptive et l\u2019analyse de la r\ue9gression logistique pour \ue9tudier les facteurs qui influencent le choix d\u2019une d\ue9cision d\u2019adaptation \ue0 un scenario de changement climatique. En utilisant des donn\ue9es transversales collect\ue9es dans 136 m\ue9nages \ue0 l\u2019Est de l\u2019Uganda, l\u2019analyse \ue9tait faite en deux niveaux : l\u2019analyse des \ue9chantillons group\ue9s et l\u2019analyse du genre d\ue9sagr\ue9g\ue9. Contrairement \ue0 la sagesse et l\u2019\ue9vidence per\ue7ues d\u2019autres \ue9tudes empiriques, les facteurs qui influencent la d\ue9cision pour l\u2019adaptation au changement climatique varient consid\ue9rablement entre hommes et femmes responsables des m\ue9nages. La prise des d\ue9cisions par les femmes responsables des m\ue9nages d\ue9pendait de plusieurs co-variantes en comparaison aux d\ue9cisions prises par les hommes. En plus, les d\ue9cisions prises par les femmes \ue9taient influenc\ue9es par des biens liquides de m\ue9nages, la prise des d\ue9cisions par les hommes \ue9tait dict\ue9e par des avoirs tels que la terre. Additionnellement, au del\ue0 du facteur genre, d\u2019autres facteurs d\ue9mographiques ont jou\ue9 un r\uf4le bien que non significatif dans la prise des d\ue9cisions pour l\u2019adaptation au changement climatique

Predictors of low birth weight and preterm birth in rural Uganda: findings from a birth cohort study

BACKGROUND: Approximately 20.5 million infants were born weighing <2500 g (defined as low birthweight or LBW) in 2015, primarily in low- and middle-income countries (LMICs). Infants born LBW, including those born preterm (<37 weeks gestation), are at increased risk for numerous consequences, including neonatal mortality and morbidity as well as suboptimal health and nutritional status later in life. The objective of this study was to identify predictors of LBW and preterm birth among infants in rural Uganda. METHODS: Data were derived from a prospective birth cohort study conducted from 2014–2016 in 12 districts across northern and southwestern Uganda. Birth weights were measured in triplicate to the nearest 0.1 kg by trained enumerators within 72 hours of delivery. Gestational age was calculated from the first day of last menstrual period (LMP). Associations between household, maternal, and infant characteristics and birth outcomes (LBW and preterm birth) were assessed using bivariate and multivariable logistic regression with stepwise, backward selection analyses. RESULTS: Among infants in the study, 4.3% were born LBW (143/3,337), and 19.4% were born preterm (744/3,841). In multivariable analysis, mothers who were taller (>150 cm) (adjusted Odds Ratio (aOR) = 0.42 (95% CI = 0.24, 0.72)), multigravida (aOR = 0.62 (95% CI = 0.39, 0.97)), or with adequate birth spacing (>24 months) (aOR = 0.60 (95% CI = 0.39, 0.92)) had lower odds of delivering a LBW infant Mothers with severe household food insecurity (aOR = 1.84 (95% CI = 1.22, 2.79)) or who tested positive for malaria during pregnancy (aOR = 2.06 (95% CI = 1.10, 3.85)) had higher odds of delivering a LBW infant. In addition, in multivariable analysis, mothers who resided in the Southwest (aOR = 0.64 (95% CI = 0.54, 0.76)), were ≥20 years old (aOR = 0.76 (95% CI = 0.61, 0.94)), with adequate birth spacing (aOR = 0.76 (95% CI = 0.63, 0.93)), or attended ≥4 antenatal care (ANC) visits (aOR = 0.56 (95% CI = 0.47, 0.67)) had lower odds of delivering a preterm infant; mothers who were neither married nor cohabitating (aOR = 1.42 (95% CI = 1.00, 2.00)) or delivered at home (aOR = 1.25 (95% CI = 1.04, 1.51)) had higher odds. CONCLUSIONS: In rural Uganda, severe household food insecurity, adolescent pregnancy, inadequate birth spacing, malaria infection, suboptimal ANC attendance, and home delivery represent modifiable risk factors associated with higher rates of LBW and/or preterm birth. Future studies on interventions to address these risk factors may be warranted.Published versio

Participatory monitoring and evaluation approaches that influence decision-making: lessons from a maternal and newborn study in Eastern Uganda

BACKGROUND: The use of participatory monitoring and evaluation (M&E) approaches is important for guiding local decision-making, promoting the implementation of effective interventions and addressing emerging issues in the course of implementation. In this article, we explore how participatory M&E approaches helped to identify key design and implementation issues and how they influenced stakeholders’ decision-making in eastern Uganda. METHOD: The data for this paper is drawn from a retrospective reflection of various M&E approaches used in a maternal and newborn health project that was implemented in three districts in eastern Uganda. The methods included qualitative and quantitative M&E techniques such as key informant interviews, formal surveys and supportive supervision, as well as participatory approaches, notably participatory impact pathway analysis. RESULTS: At the design stage, the M&E approaches were useful for identifying key local problems and feasible local solutions and informing the activities that were subsequently implemented. During the implementation phase, the M&E approaches provided evidence that informed decision-making and helped identify emerging issues, such as weak implementation by some village health teams, health facility constraints such as poor use of standard guidelines, lack of placenta disposal pits, inadequate fuel for the ambulance at some facilities, and poor care for low birth weight infants. Sharing this information with key stakeholders prompted them to take appropriate actions. For example, the sub-county leadership constructed placenta disposal pits, the district health officer provided fuel for ambulances, and health workers received refresher training and mentorship on how to care for newborns. CONCLUSION: Diverse sources of information and perspectives can help researchers and decision-makers understand and adapt evidence to contexts for more effective interventions. Supporting districts to have crosscutting, routine information generating and sharing platforms that bring together stakeholders from different sectors is therefore crucial for the successful implementation of complex development interventions