Households In Uganda Research Articles

Contribution of Rainfall on Rooftop Rainwater Harvesting and Saving on the Slopes of Mt. Elgon, East Africa.

Despite the achievements reported from using rainwater harvesting systems, the contribution and drawbacks that affect their usage in mountainous landscapes have received little attention. The uptake and usage of domestic rooftop rainwater harvesting systems (RRWHS) in developing countries is on the increase due to increasing water scarcities. We explored the effect of rainfall variability on water supply and the downsides of using the systems by rural households in Uganda. The objectives were to assess the variability of rainfall (1985–2018), categorise RRWHS used, and examine the influence of slope ranges on the placement of systems and also to quantify the harvested and saved rainwater and establish the factors that affected system usage. Rainfall variability was assessed using a Mann–Kendall test, while system contributions and drawbacks were examined using socioeconomic data. A representative of 444 households were selected using a multicluster sampling procedure and interviewed using semistructured questionnaires. Findings revealed that the months of March, April, September, August, and October experienced an upward trend of rainfall with a monthly coefficient of variation between 41 and 126%. With this, households responded by employing fixed (reinforced concrete tanks, corrugated iron tanks, and plastic tanks) and mobile RRWHS (saucepans, metallic drums/plastic drums, jerrycans, and clay pots). At the high altitude, households deployed mostly plastic jerrycans and industrial plastic/metallic drums to harvest and save water. Overall, the mean annual volume of rainwater harvested on the slopes of Mt. Elgon was 163,063 m3/yr, while the potential to save water ranged from 4% to 7% of the annual household water demand. The factors that hindered the deployment of RRWHS to harvest and save water were high operational costs, price fluctuations, unreliable rainfall pattern, inadequate funds, and limited accessibility. The rainfall received if well-harvested and saved can redeem households of water insecurity, though there is an urgent need of subsidies from the government to increase accessibility of the systems.

The potential of in-situ hyperspectral remote sensing for differentiating 12 banana genotypes grown in Uganda

Bananas and plantains provide food and income for more than 50 million smallholder farmers in East and Central African (ECA) countries. However, banana productivity generally achieves less than optimal yield potential (<30%) in most regions, including Uganda. Numerous studies have been undertaken to identify the key challenges that smallholder banana growers face at different stages of the banana value chain, with one of the main constraints being a lack of policy-relevant agricultural data. The World Bank (WB) initiated a methodological survey design aimed at identifying the distribution of banana varieties across a number of key Ugandan growing regions, at the individual household scale. To achieve this outcome a number of approaches including ground-based surveys, DNA tissue collection of selected banana plants and remote sensing were evaluated. For the remote sensing component, the set objectives were to develop statistical models from the hyperspectral reflectance properties of individual leaves that could differentiate typical ECA banana varieties, as well as their parentage (usage). The study also explored the potential of extrapolating the ground-based hyperspectral measures to high-resolution WorldView-3 (WV3) satellite imagery, therefore creating the potential of mapping the distribution of banana varieties at a regional scale. The DNA testing of 43 banana varieties propagated at the National Banana Research Program site at National Agricultural Research Organization (NARO) research station in Kampala, Uganda, identified 12 genetically different varieties. A canonical powered partial least square (CPPLS) model developed from hyperspectral reflectance properties of the sampled banana leaves successfully differentiated BLU, BOG, GON, GRO and KAY genotypes. The Random Forest (RF) algorithm was also evaluated to determine if spectral bands coinciding with those provided by WV3 data could segregate banana varieties. The results suggested that this was achievable and as such presents an opportunity to extrapolate the hyperspectral classifications to broader areas of land. The ability to spectrally differentiate these five genotypes has merit as they are not typical east African varieties. As such, identifying the distribution and density of these varieties across Uganda provides vital information to the banana breeders of NARO of where their new varieties are being disseminated too, data that has been previously difficult to obtain. Although the results from this pilot study indicated that not all banana varieties could be spectrally differentiated, the methodology developed and the positive results that were achieved do present remote sensing as a complimentary technology to the ongoing surveying of banana and other crop types grown within Ugandan household farming systems.

Investigating the Association between Wood and Charcoal Domestic Cooking, Respiratory Symptoms and Acute Respiratory Infections among Children Aged Under 5 Years in Uganda: A Cross-Sectional Analysis of the 2016 Demographic and Health Survey.

Background: Household air pollution associated with biomass (wood, dung, charcoal, and crop residue) burning for cooking is estimated to contribute to approximately 4 million deaths each year worldwide, with the greatest burden seen in low and middle-income countries. We investigated the relationship between solid fuel type and respiratory symptoms in Uganda, where 96% of households use biomass as the primary domestic fuel. Materials and Methods: Cross-sectional study of 15,405 pre-school aged children living in charcoal or wood-burning households in Uganda, using data from the 2016 Demographic and Health Survey. Multivariable logistic regression analysis was used to identify the associations between occurrence of a cough, shortness of breath, fever, acute respiratory infection (ARI) and severe ARI with cooking fuel type (wood, charcoal); with additional sub-analyses by contextual status (urban, rural). Results: After adjustment for household and individual level confounding factors, wood fuel use was associated with increased risk of shortness of breath (AOR: 1.33 [1.10–1.60]), fever (AOR: 1.26 [1.08–1.48]), cough (AOR: 1.15 [1.00–1.33]), ARI (AOR: 1.36 [1.11–1.66] and severe ARI (AOR: 1.41 [1.09–1.85]), compared to charcoal fuel. In urban areas, Shortness of breath (AOR: 1.84 [1.20–2.83]), ARI (AOR: 1.77 [1.10–2.79]) and in rural areas ARI (AOR: 1.23 [1.03–1.47]) and risk of fever (AOR: 1.23 [1.03–1.47]) were associated with wood fuel usage. Conclusions: Risk of respiratory symptoms was higher among children living in wood compared to charcoal fuel-burning households, with policy implications for mitigation of associated harmful health impacts.

Climate anomalies, land degradation and rural out-migration in Uganda.

Globally, rural livelihoods are increasingly challenged by the dual threats of land degradation and climate change. These issues are of particular concern in sub-Saharan Africa, where land degradation is believed to be severe and where climate change will bring higher temperatures and shifts in rainfall. To date, however, we know little about the relative effects of these various potential environmental stressors on migration. To examine these processes, we link longitudinal data from 850 Ugandan households with environmental data on soils, forests, and climate, and then analyze these data using approaches that account for potential spatial and temporal confounders. Our findings reveal that climate anomalies, rather than land degradation, are the primary contributor to environmental migration in Uganda, with heat stress of particular importance. Short hot spells increase temporary migration, an element of a diversified household livelihood strategy, while long-term heat stress induces permanent migration through an agricultural livelihoods pathway.

Mobile Money Use and Healthcare Utilization: Evidence from Rural Uganda

Lack of cash on hand is a significant obstacle in accessing healthcare services in developing countries. Many expectant mothers in the least developed countries do not receive sufficient care during pregnancy due to financial constraints. If such hurdles in accessing healthcare can be overcome, it will contribute to reduction in maternal and newborn mortality, which is a key target of Sustainable Development Goal 3. This study reports the first assessment of the impact of mobile money services on maternal care utilization. We hypothesize that mobile money adoption would motivate rural Ugandan women to receive antenatal care and to deliver their children at health facilities or with skilled birth attendants. By receiving remittances utilizing mobile money, poor rural households may obtain more cash in hand, which might change women’s health-seeking behavior. We apply community- and mother-fixed effects models with heterogeneity analysis to longitudinal panel data (the RePEAT [Research on Poverty, Environment, and Agricultural Technology] survey) of three waves (2009, 2012, and 2015). The analysis uses pregnancy reports of 2007–2015 from 586 rural Ugandan households. We find suggestive evidence that mobile money adoption positively affects the take-up of antenatal care. Heterogeneity analysis indicates that mobile money brings a larger benefit to geographically challenged households by easing their liquidity constraint as they face higher cost of traveling to distant health facilities. The models failed to reject the null hypothesis of no mobile money effect on the delivery-related outcome variables. This study suggests that promoting financial inclusion by means of mobile money motivates women in rural and remote areas to make antenatal care visits while the evidence of such effect is not found for take-up of facility delivery or delivery with skilled birth attendants.

The role of camel production on household resilience to droughts in pastoral and agro-pastoral households in Uganda

Recurrent and prolonged droughts have exacerbated the problems of pasture and water scarcity in arid and semi-arid lands (ASALs), hence, the need for immediate and long-term adaption strategies to such shocks. Camels are increasingly being integrated into mainstream livestock production systems as an adaptation strategy to droughts. However, rigorous empirical evidence remains scarce on the role of camel-rearing in household resilience to droughts. This study used cross-sectional data from 116 households in the Karamoja sub-region of Uganda to examine the effect of camel adoption on household resilience to drought. Resilience to drought was measured as an index constructed from consumption- and income-smoothing indicators using the principal component analysis (PCA) method. The effect of camel adoption on household resilience to droughts was estimated using Lewbel’s estimator. Descriptive statistics show that camel tropical livestock units (TLUs) constituted 25% of the total TLUs of the herd among adopting households. PCA analysis shows that income-smoothing factors (increased off-farm income and alternative sources of income) had the greatest contribution to resilience. Econometric results show that a unit increase in the proportion of camel TLUs significantly increased household resilience to droughts by 20%. The study recommends increased emphasis on income diversification both on-farm and off-farm across programmes that aim to build pastoral household resilience to droughts.

Experiences and intentions of Ugandan household tuberculosis contacts receiving test results via text message: an exploratory study

BackgroundThe World Health Organization (WHO) recommends household contact investigation for tuberculosis (TB) in high-burden countries. However, household contacts who complete evaluation for TB during contact investigation may have difficulty accessing their test results. Use of automated short-messaging services (SMS) to deliver test results could improve TB status awareness and linkage to care. We sought to explore how household contacts experience test results delivered via SMS, and how these experiences influence follow-up intentions.MethodsWe conducted semi-structured interviews with household contacts who participated in a randomized controlled trial evaluating home sputum collection and delivery of TB results via SMS (Pan-African Clinical Trials Registry #201509000877140). We asked about feelings, beliefs, decisions, and behaviors in response to the SMS results. We analyzed the content and emerging themes in relation to the Theory of Planned Behavior.ResultsWe interviewed and achieved thematic saturation with ten household contacts. Nine received TB-negative results and one a TB-positive result. Household contacts reported relief upon receiving SMS confirming their TB status, but also said they lacked confidence in the results delivered by SMS. Some worried that negative results were incorrect until they spoke to a lay health worker (LHW). Household contacts said their long-term intentions to request help or seek care were influenced by perceived consequences of not observing the LHW’s instructions related to the SMS and follow-up procedures; beliefs about the curability of TB; anticipated support from LHWs; and perceived barriers to responding to an SMS request for further evaluation.ConclusionHousehold contacts experienced relief when they received results. However, they were less confident about results delivered via SMS than results delivered by LHWs. Delivery of results by SMS should complement continued interaction with LHWs, not replace them.

Social-cognitive factors influencing household decisions to grow orange-fleshed sweet potato in Uganda

This study examined the role of social-cognitive factors in farmers’ decisions to cultivate orange-fleshed sweetpotato as a food-based approach to alleviating vitamin A deficiency among rural households in Uganda. Cross-sectional survey data collected from 341 randomly selected household level decision-makers drawn from two rural districts in Uganda were analysed using hierarchical regression. Perceived capability and perceived social approval significantly predicted household decisions to grow orange-fleshed sweet potato (p≤0.001). Overall, decision-makers’ subjective norms and control beliefs were found to be significant mediators (p≤0.01) of the orange-fleshed sweet potato acceptance process. These results point to a cardinal role for processes that create supportive social and cognitive environments in promoting the cultivation of bio-fortified technologies such as orange-fleshed sweet potato.Keywords: Orange-fleshed sweet potato, social approval, Uganda

A contingent valuation analysis for assessing the market for genetically modified planting materials among banana producing households in Uganda

ABSTRACTBanana is an important livelihood source for more than 12 million smallholder farmers in Uganda. Despite this contribution, its productivity continues to decline due to Banana Xanthomonas wilt (BXW). Cultural practices have been deployed to effectively control BXW but require a continuous and timely application, thus, prompting scientists to develop genetically modified (GM) bananas which display BXW resistance or tolerance. With prospects for commercialization of these GM bananas on the agenda, this paper applied a Contingent Valuation Method to assess producer acceptance of GM banana suckers among 233 banana producing households. Results show that producers were willing to pay between Ugandan shillings (UGX) 1100 to 1700 (US$0.28–0.44) per GM banana sucker Annual demand for GM banana suckers ranged from 70 to 82 million suckers. The results suggest that, in the event of not commercializing BXW-resistant GM bananas, Uganda loses an annual revenue ranging from UGX 76 to 139 billion (US$ 19.51 to 35.70 million).

Poultry Ownership Associated with Increased Risk of Child Diarrhea: Cross-Sectional Evidence from Uganda.

.Domestic animals have been associated with enteric infections in young children and can also be carriers of respiratory viruses. We conducted a cross-sectional assessment of health outcomes in children aged < 5 years associated with animal presence among 793 rural households in Uganda. We recorded the 2-week prevalence of diarrhea and respiratory infections in children, and the number of cows, poultry, sheep/goats, and pigs in the household. We used generalized linear models with robust standard errors to estimate the prevalence ratio (PR) for diarrhea and respiratory infections associated with households owning the above- versus below-median number of animals. We conducted unadjusted and adjusted analyses controlling for socioeconomic, water, sanitation, and hygiene indicators. Children in households with the above-median number (> 5) of poultry had 83% higher diarrhea prevalence than those with ≤ 5 poultry (adjusted PR = 1.83 [1.04, 3.23], P = 0.04). Children in households with the above-median number (> 2) of cows had 48% lower prevalence of respiratory infection than those with ≤ 2 cows (adjusted PR = 0.52 [0.35, 0.76], P < 0.005). There were no other significant associations between domestic animals and child health. Studies should assess if barring chickens from indoor living quarters and sanitary disposal of chicken and other animal feces can reduce childhood zoonotic infections.

Techno-economic comparison of the FUEL sensor and Kitchen Performance Test to quantify household fuel consumption with multiple cookstoves and fuels

Quantifying the impact of improved stoves and fuels designed to combat the health and environmental burdens of traditional cooking is necessary to ensure sustainable outcomes but remains challenging for practitioners. The current standard method to determine household fuel consumption, the Kitchen Performance Test, is costly, time intensive, and subject to error. To address these challenges, the Fuel Use Electronic Logger (FUEL), a sensor-based system that monitors fuel consumption in households was developed. In this study, the accuracy, granularity, and cost of FUEL were compared to that of the standard Kitchen Performance Test through simultaneous testing. Monitoring was conducted over four and five consecutive days in 10 households in Burkina Faso that were each stacking LPG, charcoal, and wood stoves; and in 20 households in Uganda stacking multiple wood stoves, respectively. Results show good agreement between the two methods on an aggregate level, with an overall R2 value of 0.81, and more varied agreement when comparing fuel consumption on a day-to-day basis. The sample variation was found to generally decrease with increasing monitoring length, pointing to value in monitoring over longer durations afforded by the FUEL. There was no systematic over- or under-prediction of fuel consumption between FUEL and the KPT, suggesting that the FUEL method does not have significant bias relative to the KPT, but the accuracy of the methods relative to the true, “ground truth” household fuel consumption value was not known. There was no agreement between either method with self-reported survey data, further illustrating the unreliability of quantitative survey data. Moisture content and Standard Adult Equivalence measurements were found to be similar whether measurements were taken only on the first and last days of the study period as compared to each day, although this should be evaluated over a longer time period for future studies. Potential errors in each method are discussed and resulting suggestions for developing an effective study with the FUEL system are presented. An economic analysis shows that the FUEL system becomes increasingly economical as monitoring duration increases or new studies are conducted, with a breakeven point at 40 days in this case. Overall, these results point to the viability of the FUEL system to quantify long-term, in-situ fuel consumption with similar accuracy to current methods and the capability for more granular data over longer time periods with less intrusion into households.

Drivers of Fuel Choice for Cooking among Uganda’s Households

This paper examines the factors that Uganda’s households consider when making fuel choices for cooking and investigates the key drivers of fuel choice. The study adopts a quantitative cross sectional research design. The dependent variable of the empirical model is a qualitative response variable which defines three mutually exclusive and highly differentiated discrete choices for cooking fuels, namely: the traditional fuel (firewood), the transitional fuel (charcoal), and the modern (LPG & electricity). Results from the study show that the most important drivers of fuel choice for cooking in Uganda’s households are: household income, age of household head, gender of household head, marital status, education levels of household head and location of a household. Results also reveal high dependency of firewood as cooking energy source among households in Uganda.

Tackling Gender poverty relations within Households through micro-credit Programs in Uganda

The study mainly set out to investigate the factors that influence gender relations in Uganda. This paper contributes to the body of knowledge by determining the local gender context influencing gender poverty relations in the face of micro-credit programs and practices in Uganda. The study was grounded on the feminist conflict theory. Women accessing and utilizing microcredit programs from Savings and Credit Cooperative Organizations (SACCOs) in Mbarara (MM) and Bushenyi-Ishaka Municipalities (BIM) of South West Uganda provided the contextual setting of the study.&#x0D; Data was collected from a total of 198 respondents by use of interviews and focused group discussions. The study findings show that age, women’s marital status, the level of formal education, number of children depending on women, assets for collateral and signature requirements were the main factors influencing gender poverty relations within households in Uganda. The study contends that poverty and gender relations influence access to microcredit programs. The study then recommends that SACCOS should formulate gender inclusive strategies like alternative means of collateral and introduce women friendly modes of access to microcredit services as a strategy for tackling poverty among women in Uganda. The government is also advised to sensitize the public about gender poverty relations, human rights and increasing household income using the available media.

Impacts of drought-tolerant maize varieties on productivity, risk, and resource use: Evidence from Uganda

Weather variability is an important source of production risk for rainfed agriculture in developing countries. This paper evaluates the impacts of the adoption of drought-tolerant maize varieties on average maize yield, yield stability, risk exposure and resource use in rainfed smallholder maize farming. The study uses cross-sectional farm household-level data, collected from a sample of 840 farm households in Uganda. The adoption of drought-tolerant maize varieties increased yield by 15% and reduced the probability of crop failure by 30%. We further show that the adoption of these varieties increased investments in maize production at the extensive margin through maize area increase and to a more limited extent at the intensive margin through mechanization. The findings show promise for further uptake and scaling of drought-tolerant maize varieties for increased productivity, reduced risk, and the transformation of the maize sector.

Monitoring impacts of clean cookstoves and fuels with the Fuel Use Electronic Logger (FUEL): Results of pilot testing

Objective, affordable, and unobtrusive monitoring tools are needed to quantify in-field performance and increase user acceptance rates of clean cookstoves and fuels. To meet this need, researchers have developed the Fuel Use Electronic Logger (FUEL), a sensor-based system that monitors the mass of a household fuel supply and cookstove temperature over time to quantify cookstove adoption and use, fuel consumption, and extrapolate to air quality and climate emissions. Following proof-of-concept studies in Honduras and Uganda, a pilot study was conducted in 44 rural Ugandan households monitoring over an average of 45 days. The purpose of these studies was to evaluate sensor usability and technical performance, inform algorithm development, and demonstrate how FUEL data can be used to quantify key stove performance metrics. Usability results indicated that the FUEL accurately monitored fuel consumption 88% of monitoring days, and 78% of households continued to use the fuel holder without the sensor 8 months after the monitoring period. Fuel consumption was reported per cooking event, day, monitoring period, household, and per capita. Results showed high daily variability in each household, suggesting that longer monitoring durations are needed, with estimation error decreasing from 72% at 4 days to 6.5% relative to a 25-day monitoring period. Cooking duration paired with fuel consumption also provided indicators of average firepower and therefore operational practices across households. Use of emission factors with fuel consumption data estimated carbon savings, showing that stacking of an improved and traditional stove will contribute to higher fuel consumption and carbon emissions per capita than households using a single improved stove. These results highlight the potential of the FUEL system to aid in more effective and accurate quantification of long-term technical performance and adoption, while increasing the transparency and impact of improved cookstove projects.

How Are Insecticide-Treated Bednets Used in Ugandan Households? A Comprehensive Characterization of Bednet Adherence Using a Remote Monitor.

Long-lasting insecticide-treated bednets are widely used and promoted for malaria control. Limitations in measurement methods have resulted in a poor understanding of how bednets are used in practice. We deployed a novel remote monitoring tool in Uganda to obtain, for the first time, a comprehensive characterization of bednet use in households at risk for malaria. Ten households each used one SmartNet adherence monitor over a commonly used sleeping area for 6 weeks. SmartNet continuously measures and records bednet use every 15 minutes. Bednet use was monitored for a total of 9,258 hours overall, with an average of 42 nights per household (SD: 3.5). Average duration of bednet use was 9 hours 49 minutes per night (SD: 1 hour 56 minutes), and adherence was 85-90% from 2100 to 0600. Bednets were not used at all on 4.5% (19/418) of observation nights. Overall, the average clock time that bednets were unfurled was 2034 (SD: 1 hour 25 minutes) and they were folded up at 0743 (SD: 43 minutes). The rate of interruptions per night observed in all households was 0.23 (86/369), with an average duration of 48 minutes (SD: 49 minutes). There was substantial heterogeneity between households, and some households had consistently poorer adherence relative to others. Variations in bednet use behaviors are a potentially important, and under-researched, component of long-lasting insecticide-treated bednet effectiveness. Remote bednet use monitors can provide novel insights into how bednets are used in practice, helping identify both households at risk of malaria due to poor adherence and also potentially novel targets for improving malaria prevention.

The contrasting effects of farm size on farm incomes and food production

Small-scale farming provides both food and livelihoods for the vast majority of the global poor. Thus, increasing and stabilizing farm incomes and food production in developing countries is fundamental to reducing global poverty. Policies for rural development such as improved access to non-agricultural incomes or land titling may benefit farmers, but they may also lead to farm consolidation with unintended consequences for aggregate food supply. Using a large panel dataset of rural households in Uganda, we parse apart how farm size affects the level and riskiness of agricultural incomes as well as of local food supply. Our findings indicate that while output per unit of land does decline with increasing farm size as suggested by previous literature, agricultural incomes increase with farm size. We show further that while the variance of agricultural incomes declines with increasing farm size, the variance of local food production increases with farm size. These results suggest that farmers benefit from larger farms, earning higher and more stable incomes while consumers suffer from lower and more volatile food supply.

Making cooking champions: Perceptions of local actors on private sector development in Uganda

Most households in Uganda depend on traditional use of wood fuels associated with huge environmental and health issues. Even with the future development of a sustainable national grid, small-scale solutions like efficient biomass stoves, biochar, and biogas installations will remain important. Despite the apparent benefits from clean cooking resulting from “dissemination” programs since the 1980's, many developing country households have been slow to adopt them. Hence, questions arise concerning commercially viable business development. This study takes a qualitative approach and actors-based perspective from the major players at the supply-side of the clean cooking on biomass market sector. A field research in Kampala (Uganda) explored the success factors according to local private actors' perceptions. The confrontation between these perceptions and a literature-based success-factor framework revealed original insights in terms of enabling conditions to strengthen the supply-side, related to the demand-side and the clean cooking market. First, becoming a ‘clean cooking champion’ is still highly dependent on the role of supportive and intervening development programs, especially in terms of financing, capacity-building, and awareness-raising. Second, up to now, carbon finance is an additional incentive rather than a determining factor for business activities in the clean cooking sector. Third, while some policies and targets exist, private sector respondents lament the lack of a level playing field and the competition of the informal cooking sector. Thus, this research provides an empirical basis for a possible approach to leverage private sector experience and expertise to improve access to clean cooking on biomass in Uganda.

Logics of affordability and worth: Gendered consumption in rural Uganda

This article explores logics of affordability and worth within rural Ugandan households. Through an analysis of how worth is ascribed to certain goods, from the morally ambiguous personal consumption of alcohol and beauty products to the “responsible” category of educational spending and sanitary pads, the article demonstrates how gender norms and anxieties are marked and sustained in the consumption practices of the household, constituting what is deemed necessary, affordable, and responsible. Moral obligation is differentially distributed between genders: women are deemed responsible for household expenditure, their personal consumption preferences constrained, whereas men are able to delimit a sphere of personal consumption separate from the household, with limited accountability to its moral requirements. The gendered nature of power relations is thus revealed both in the apportioning of moral duty and in the construction of affordability through which consumption is enabled.

Impacts of Oil Discovery on Households in Uganda: A CGE Analysis

This study analyses the impact of oil discovery on household poverty and inequality by employing a CGE model using 2007 SAM for Uganda. The oil production and export simulations show a decline in absolute poverty, poverty gaps and severity. Further, our findings showcase a positive effect of production and exports on household welfare, except for urban farm households. This study recommends for the managers of the economy to pay special attention towards injection of a reasonable portion of oil rent in sectors which positively contribute to the economy, diversify non-oil exports and above all, boost private consumption.