EXECUTIVE SUMMARY Agricultural financing plays a critical role in enhancing crop productivity and fostering rural development, particularly in agrarian economies. This study aims to empirically investigate the impact of agricultural financing on the crop productivity of smallholder farmers and assess its implications on income inequality. To achieve this objective, a mixed research approach was adopted, integrating both qualitative and quantitative methodologies. An explanatory research design was employed to explore the causal relationship between access to agricultural financing and crop output. Primary data were collected from a sample of 800 crop-producing households using structured questionnaires, interview schedules, and focus group discussions, selected through simple random sampling. Secondary data were obtained through document reviews from relevant institutional sources. The data were analysed using descriptive statistics and econometric modelling techniques, specifically Propensity Score Matching (PSM), to estimate the Average Treatment Effect on the Treated (ATT). A binary logit model was used to identify the determinants of access to agricultural financing. The results revealed that age, seed cost, labor cost, tractor access (as a proxy for infrastructure), education level, and farming experience significantly influenced whether a household received agricultural financing. Conversely, variables such as plant protection, fertilizer use, and landholding size were found to have an insignificant effect. The covariate balancing indicators and balance plots confirmed that the matching algorithms were successful in reducing selection bias, with mean standardized bias decreasing by up to 77.5% and pseudo R² values dropping significantly post-matching. The common support condition was also satisfied, ensuring the reliability of the PSM estimates. The PSM results confirmed that agricultural financing had a statistically significant and positive impact on crop productivity. On average, farmers with access to financing produced ETB 3,942.53 to ETB 6,251.01 more per season compared to those without access, depending on the matching algorithm used (NNM-1, NNM-5, and KBM). The study concludes that agricultural financing significantly enhances crop productivity but may unintentionally exacerbate income inequality. It recommends targeted financial inclusion strategies to ensure equitable access to credit. Furthermore, it advocates for practical, hands-on training programs tailored to farmers‘ realworld needs, rather than theoretical lectures. Such capacity-building initiatives should focus on improving technical expertise, efficient input utilization, and financial literacy, thereby maximizing the benefits of agricultural financing for sustainable rural development. Keywords: Agricultural Financing, Crop Productivity, Propensity Score Matching, Logit, Gini

In the absence of a recommended optimal seed rate and nitrogen-phosphorous (NP) fertilizers application for a spe-cific area, achieving maximum bread wheat productivity becomes challenging. To address this issue, this field experi-ment was conducted to evaluate the effect of seed and NP fertilizer rates on growth, yield, and yield components ofbread wheat (Triticum aestivum L.). Factorial combinations of four levels of seed rates of bread wheat (100, 120, 150, and200 kg ha−1 ) and four levels of NP fertilizers rates (64–46, 87–46, 96–69, and 119–69 kg ha−1 of N and P 2 O 5 ) werelaid down in randomized complete block design with three replications. The remaining necessary agronomic practicesand crop management activities were undertaken uniformly. The data presented in this dataset article includes pheno-logical, growth, yield, and yield component parameters that were collected timely following their standard methods andprocedures. All the collected data were subjected to analysis of variance (ANOVA) which was carried out using theSAS version 9.0 software computer program’s General Linear Model (GLM) procedure [1]. the residuals were evalu-ated, as described in Montgomery [2], to confirm the normal distribution and homogeneous variance model assump-tions on the error terms for each response variable. The independence assumption is upheld due to the randomization ofthe sixteen (16) treatment combinations within each block. In cases where a treatment effect was found to be significant,a multiple means comparison was conducted at a 5% significance level using Fisher’s LSD method to create letter group-ings. Additionally, correlation analysis was carried out using the Pearson correlation procedure in SAS. This dataset articleprovides insights into how seed rate and NP fertilizer rates impact bread wheat productivity, as well as the economic viability of optimal seed rate and NP fertilizer rates on bread wheat productivity. The information presented can serve as a valuable resource for researchers looking to examine thesupplementary data and methods in detail, potentially lead ing to new research avenues. Furthermore, it has the potential to foster collaborations and enhance the credibility of the current research data within the scientific community, making it accessible for wider use.
Keywords: Bread wheat, Burie district, Dataset, Grain yield, Seed rate, NP fertilizers, Partial budget analysis

The evolving engagement of the Gulf States in the Horn of Africa has become an emerging determinant of the region’s current and future security landscape. The United Arab Emirates’ (UAE) active presence in the political economy of Ethiopia, following the Ethiopia–Eritrea peace deal, brings existing and potential security threats to Ethiopia and the wider Horn region. This study mainly tried to glean the political and security threats posed by the UAE’s active presence in Ethiopia since 2018. This study employed a qualitative research approach with an exploratory research design. The primary and secondary data were thoroughly consulted. The study argues that, given Ethiopia’s age-old dispute with Egypt and Sudan—strategic, historical and religious alliance with the UAE over Nile River utilisation—the UAE is unlikely to be Ethiopia’s strategic partner. The study also finds that the theocratic and undemocratic state experiences of the UAE, coupled with the de-institutionalised nature of bilateral relations, put the UAE at odds with Ethiopia’s long-range national interests. The rival advent of Gulf States in the region also exposed Ethiopia and the Horn of Africa states to potential proxy wars.Keywords: Gulf States, security, threats, UAE, Ethiopia

ABSTRACT Food security remains a critical global challenge, with millions of people suffering from hunger and malnutrition. Agricultural Multi-Purpose Cooperatives (AMPCs) are intended to improve food security by enhancing access to inputs, markets, and services. This study examines the impact of AMPCs on rural household food security in West Gojjam using ordinal logistic regression. Out of a total sample size of 1,122 rural households, 1,068 were included in the analysis. The study employed a cross-sectional research design. The findings revealed that, out of the 1,068 households surveyed, 45.3% were food secure, 22.6% were mildly food insecure and 32.1% were food insecure. Overall, 54.7% experienced some level of food insecurity, highlighting the need for improved food access and support interventions. The multiple ordinal logistic regression analysis revealed that factors such as female-headed households, large household size, smaller landholdings, lack of livestock ownership, absence of non-farm income, limited irrigation access, lack of credit, lack of Market Access, and no use of agricultural inputs significantly increase the likelihood of rural household food insecurity. Based on the results, it is recommended to focus on supporting female-headed households, reducing household size through family planning, improving land access, increasing livestock ownership, promoting non-farm income opportunities, enhancing irrigation access, providing credit, strengthening market linkages, and ensuring the widespread use of agricultural inputs to improve food security. Keywords: Agricultural cooperatives, food security, rural households, West Gojjam, Ethiopia, ordinal logistic regression.

ABSTRACT Food security remains a critical global challenge, with millions of people suffering from hunger and malnutrition. Agricultural Multi-Purpose Cooperatives (AMPCs) are intended to improve food security by enhancing access to inputs, markets, and services. This study examines the impact of AMPCs on rural household food security in West Gojjam using ordinal logistic regression. Out of a total sample size of 1,122 rural households, 1,068 were included in the analysis. The study employed a cross-sectional research design. The findings revealed that, out of the 1,068 households surveyed, 45.3% were food secure, 22.6% were mildly food insecure and 32.1% were food insecure. Overall, 54.7% experienced some level of food insecurity, highlighting the need for improved food access and support interventions. The multiple ordinal logistic regression analysis revealed that factors such as female-headed households, large household size, smaller landholdings, lack of livestock ownership, absence of non-farm income, limited irrigation access, lack of credit, lack of Market Access, and no use of agricultural inputs significantly increase the likelihood of rural household food insecurity. Based on the results, it is recommended to focus on supporting female-headed households, reducing household size through family planning, improving land access, increasing livestock ownership, promoting non-farm income opportunities, enhancing irrigation access, providing credit, strengthening market linkages, and ensuring the widespread use of agricultural inputs to improve food security. Keywords: Agricultural cooperatives, food security, rural households, West Gojjam, Ethiopia, ordinal logistic regression.

Executive Summary The ongoing armed conflict in the Amhara region between the Ethiopian government forces and the Amhara Fano forces has caused significant disruptions in the lives of the local population in East and West Gojjam, and Awi Zones. This research seeks to explore the multifaceted impacts of the conflict on education, the economy, psychosocial well-being, and political stability in these regions. With the conflict lasting for nine months, children have been deprived of education, communities are suffering from psychosocial distress, and both the economy and political environment are severely affected. The study aims to achieve two key objectives: first, to provide a detailed understanding of the situation through evidence-based findings, which will be disseminated at local, national, and international levels; and second, to gather data that can help develop interventions to address the ongoing impacts of the conflict, preventing long-term damage to the affected populations. To meet these objectives, the research will use a mixed-methods approach, employing both quantitative and qualitative data collection techniques. A cross-sectional descriptive survey design and a phenomenological research design will be applied. Data will be gathered through questionnaires, interviews, focus group discussions (FGDs), and document analysis. The research will focus on a purposive sample of individuals directly affected by or involved in the conflict, selected from towns and Woredas using a simple random sampling method. Collected data analyzed using percentage and frequency distributions for quantitative data, and thematic content analysis for qualitative data. Ethical considerations, such as ensuring participant confidentiality and voluntary participation strictly followed. The outcomes of this study will raise awareness of the conflict‘s impacts, inform intervention strategies, and provide evidence to guide recovery efforts. Ultimately, the research will contribute to developing targeted policies and actions to support education, economic recovery, psychosocial well-being, and political stability in the affected regions.

Background Inadequate glycemic management in type 2 diabetes Mellitus patients is a serious public healthissue and a key risk factor for progression as well as diabetes-related complications. The main therapeutic goal ofpreventing organ damage and other problems caused by diabetes is glycemic control. Knowing when to modifyglycemic control in type 2 diabetes Mellitus is crucial for avoiding complications and early drug intensifications.Methods An institutional based retrospective follow-up study was undertaken among 514 eligible adult diabetespatients in Amhara region Comprehensive Specialized Hospitals, Northwest Ethiopia, from January 2017 to January2022. Simple random sampling technique was used to select study participants. The Kaplan Meier curve was usedto assess the survival status of categorical variables, and the log-rank test was used to compare them. The coxproportional hazard model was fitted to identify the predictors of time to first optimal glycemic control. Variables witha p-value < 0.05 were considered to be statistically significance at 95% confidence interval.Results A total of 514 patient records (227 males and 287 females) were reviewed in this study. The median time tofirst optimal glycemic control among the study population was 8.4 months IQR (7.6–9.7). The predictors that affect thetime to first optimal glycemic control were age group ((AHR = 0.63, 95% CI = 0.463, 0.859 for 50–59 years), (AHR = 0.638,95% CI = 0.471, 0.865 for 60–69 years), and (AHR = 0.480, 95% CI = 0.298, 0.774 for > = 70 years)), diabetes neuropathy(AHR = 0.629, 95% CI = 0.441,0.900), hypertension (AHR = 0.667, 95% CI = 0.524, 0.848), dyslipidemia (AHR = 0.561, 95%CI = 0.410, 0.768), and cardiovascular disease (AHR = 0.681, 95% CI = 0.494, 0.938).Conclusion The median time to initial optimal glycemic control in type 2 diabetes Mellitus patients in this study wasshort. Age between 50 and 59 years and 60–69, diabetes neuropathy, hypertension, dyslipidemia, and cardiovascular
disease were predictor’s of time to first glycemic control. Therefore, health care providers should pay extra attentionfor patients who are aged and who have complications or co-morbidities.Keywords: Adults, First optimal glycemic control, Type 2 diabetes mellitus, Ethiopia

BackgroundAdverse drug reaction is one of the emerging challenges in antiretroviral treatment. Deter-mining the incidence rate and predictors among children on antiretroviral treatment (ART) isessential to improve treatment outcomes and minimize harm. And also, evidence regardingthe time to major adverse drug reactions and its predictors among children on antiretroviraltreatment is limited in Ethiopia.ObjectiveThis study aimed to assess the time to major adverse drug reaction and its predictorsamong children on antiretroviral treatment at selected public hospitals in Northwest Amhara,Ethiopia, 2023.MethodA retrospective cohort study was conducted among 380 children on antiretroviral treatmentwho enrolled from June 27, 2017, to May 31, 2022. Data was collected using a structureddata extraction checklist. Data were entered into Epidata 4.6 and analyzed using STATA14. The incidence rate of major adverse drug reactions was determined per person/months.The Cox proportional hazards regression model was used to identify predictors of majoradverse drug responses. A p-value less than 0.05 with a 95% CI was used to declare statisti-cal significance.
ResultThe minimum and maximum follow-up time was 6 and 59 months, respectively. The studyparticipants were followed for a total of 9916 person-months. The incidence rate of majoradverse drug reactions was 3.5 /1000 person–months. Advanced clinical stages of HIV/AIDS (III and IV) [adjusted hazard ratio = 7.3, 95% CI: 2.74–19.60)], poor treatment adher-ence [adjusted hazard ratio = 0.33, 95% CI: 0.21–0.42], taking antiretroviral treatment twiceand more [adjusted hazard ratio = 3.43, 955 CI: (1.26–9.33)] and not taking opportunisticinfection prophylaxis [adjusted hazard ratio = 0.35, 95% CI: 0.23–0.52)] were predictors ofmajor adverse drug reactions.ConclusionThe incidence rate of major adverse drug reactions among children on antiretroviral treat-ment was congruent with studies in Ethiopia. Advanced clinical stages of HIV/AIDS, poortreatment adherence, taking antiretroviral treatment medications twice or more, and not tak-ing opportunistic infection prophylaxis were predictors of major adverse drug reactions.

AbstractThis study investigated the factors influencing growers in the selection of seed suppliers in theAmhara region of Ethiopia. A total of 385 grower were selected using simple random sam-pling method. A mixed logit regression model was used to the analysis data that have 1284observation. The result reveal that high seed purity was negatively related to the selectionof alternative supplier. As the rating of seed purity increased, the probability of selectingvery high-quality seed suppliers also increased. The availability of tree seeds during the desiredtime period had a significant influence. Higher perceived availability, categorized as high orvery high, decreased the likelihood of promptly obtaining seeds from suppliers comparedto when the seeds were not available. The evaluation rating of germination increases the prob-ability of choosing suppliers with high or very high germination rates in the respective cat-egory. Growers with more experience are more likely to choose private enterprise suppliers.The implementation of appropriate quarantine measures has a positive influence on supplierselection for the groups AFE and EFD-CEC. Training in tree seed collection reduces the like-lihood of choosing enterprise and AFE suppliers. Moreover, the successful production of agreater number of tree species in the nursery positively influences the probability of sourcingfrom enterprise suppliers. This analysis highlights the significance of seed purity, germination,quarantine measures, and the number of species produced, as factors that influence the like-lihood of selecting alternative seed suppliers.
Keywords: growers; mixed logit regression; tree seed suppliers; tree seed

Background: An estimated 75.8 under-five deaths per 1000 live births occurred in sub-Saharan Africa. This study aimed to investigate the prevalence and factors associated with under-five mortality in Sub-Saharan Africa. Methods: This study was based on secondary data sources from 33 Sub-Saharan countries’ recent Demography and Health surveys from 2010 to 2020. A weighted sample of 360,397 under-five children was included in the study. Bayesian multilevel binary logistic regression was fitted using the brms R package. Besides, leave one out information criteria was used for model comparison. The adjusted odds ratio (AOR) and its 95% credible interval (CrI) were reported for significant factors associated with under-five mortality. Clinical trial number: not applicable. Results: The prevalence of under-five mortality in sub Saharan Africa was 62 per 1000 live births (95%CI (56.29, 68.29). In sub region of SSA, it was 65 in central, 52 in eastern, 50 in southern and 73 in western region per 1000 live births. Multiple birth (AOR = 5.27; 95%CrI: 4.72, 5.87), number of under-five children 3 to 5 (AOR = 3.31; 95%CrI: 3.01, 3.60), caesarean section delivery (AOR = 1.64; 95%CrI: 1.47, 1.83), being unmarried (AOR = 1.16; 95%CrI 1.08, 1.26), using unimproved toilet (AOR = 1.08;95%CrI: 1.02, 1.16), birth order of 4th to 6th (AOR = 1.18; 95%CrI:1.1, 1.25),were risk factors of under-five mortality. Whereas, being female (AOR = 0.86; 95%CrI: 0.82, 0.91), preceding birth interval of 24–35 months (AOR = 0.61; 95%CrI: 0.57, 0.65) and above 36 months (AOR = 0.48; 95%CrI: 0.43, 0.49), ANC visit (AOR = 0.80; 95%CrI: 0.74 0.86), contraceptive use (AOR = 0.57; 95%CrI: 0.53, 0.61), were preventive factors of under-five mortality. Conclusion: Under-five mortality remains the highest in sub-Saharan Africa. Most of the risk factors of under-five mortality were found to be preventable. Policymakers and other stakeholders should enhance maternal education, lengthen birth interval, ANC visit, improved toilet facilities and, giving special attention to small size child and cesarean section delivery to reduce under-five mortality. Keywords: Under-five mortality, Associated factors, Bayesian, Sub-saharan Africa, DHS