Gender Of Household Head Research Articles

The adoption non-adoption dichotomy: Why do smallholder producers dis-adopt improved chicken breeds?

Adopting agricultural technologies is crucial to improve productivity and livelihoods in developing countries. While much research has focused on adoption decisions, understanding dis-adoption, when farmers stop using technology, is equally important. Studies on agricultural technology adoption often treat dis-adopters (those who initially adopted but later discontinued to use) and never-adopters (those who never adopted) as the same, using binary models to analyze farmers' decisions. We argue that a better understanding of these decisions can be achieved by separately analyzing 'never-adoption', 'dis-adoption', and 'adoption.' Using nationally representative data from three African countries, Ethiopia, Nigeria, and Tanzania, we developed a multinomial logit model to analyze the adoption of improved chicken breeds. Our findings show that dis-adopters of improved chicken are different from never-adopters. Factors associated with dis-adoption include gender and education of household heads, access to training and extension services, breeding and culling practices, access to markets, use of complementary inputs, production objectives, landholding size, income diversity, and access to finance. Policies and strategies that aim to enhance sustained adoption and use of improved chicken breeds should promote a bundle of technologies, including tailored training, women empowerment, locally adapted and farmer-preferred chicken breeds, complementary inputs and services, innovative marketing strategies, and delivery models for bundles of technologies.

Drivers of variation in fuel choice for cooking: From the selected towns of North Shoa, Oromia Regional State, Ethiopia

This study aimed to examine household fuel choice behaviour and drivers of variation in fuel choice for cooking. It utilizes descriptive statistics, ordered logit model and generalized ordered logit model to analyze the influence of independent variables upon dependent variables. The result shows that, mixed fuels are the dominant sources of energy with 43.75 % followed by unclean fuel with 33.25 % and then clean fuel with 23 %. This confirms ‘households’ Fuel-Stacking behaviour. The result of the ordered logit model suggest that variables like family size, per monthly income, the gender of household head, household ownership of electric meter, ownership of housing unit, marital status, age, occupation, educational levels of household heads, and the number of the adult females are statistically significant at 1 %, 5 %, and 10 % while, place of residence and occupation (self-non agriculture) are statistically insignificant to determine fuel choice. Identifying the fuels which are chosen by households should serve as a guide for government and policymakers in the formulation and implementation of policies and strategies that will guarantee optimal access to clean energy sources. Therefore, the government should improve the supply and distribution of electric meters by subsidizing them.

Open defecation among Kenyan households: an analysis of demographic and health survey 2022 and census report of 2019

BackgroundOpen defecation (OD) is the disposal of human excreta in the fields, bushes, water bodies and other open spaces. It poses a public health risk as it can lead to the spread of diarrhoea, cholera, soil-transmitted helminths and trachoma. Kenya aims to achieve 100% open defecation free status by 2030 in line with Sustainable development goal number 6. This study sought to determine factors influencing OD at the household level as well as quantify the number of households practicing OD in each of the 47 Kenyan counties.MethodsData from the household questionnaire of the Kenya Demographic and Health Survey, 2022 was analysed. Bivariate logistic regression was done with open defecation status as the dependent variable. Independent variables were poverty status, place of residence, ownership of farm animals, gender and educational level of household head. The number of households practicing OD per county were determined using the Kenya Census report of 2019.ResultsPoverty was the strongest predictor of a household practicing OD (OR 43.8 95% CI 26.1–73.8) followed by educational status of the household head (OR 3.3 95% CI 2.3–4.6 ) and the household not owning livestock ( OR 0.7 95% CI 0.6–0.9). An estimated 7.4% of households practice OD. These are estimated to be 814,223 households. Out of these, 686,051 households (84.3%) are found in the 15 counties ranked as having a high population practicing OD. Five counties have managed to eliminate OD and another nine have OD rates of less than 0.5%.ConclusionKenya has made commendable progress in eliminating OD. Poverty is a significant predictor of OD at the household level. To eliminate OD, it is advised that more efforts be targeted towards poor households as well as the 15 counties having a high number of OD-practicing households.

Vulnerability of Poverty Between Male and Female-Headed Households in China

AbstractThis study investigates the nexus between household head gender and poverty vulnerability in the context of China's eradication of absolute poverty. Using a sample of 5061 rural households from the 2018 CFPS database, poverty vulnerability is quantitatively measured through the VEP model and the 3FGLS method. Additionally, the Probit model is employed to elucidate the ties between household head gender and rural household poverty vulnerability. The study uncovers an absence of significant disparity in poverty vulnerability between female-headed and male-headed households overall. However, heterogeneity is observed within female-headed households: de jure female-headed households exhibit greater vulnerability, while De facto female-headed households display the opposite trend. Notably, health risks are accentuated as a decisive factor, with female-headed households, especially de jure ones, experiencing significantly higher health risks than their male-headed counterparts. Moreover, the education level, household income, and assets are positively correlated with reducing poverty vulnerability and facilitating households' escape from poverty. These findings provide important references for formulating poverty alleviation strategies and more effective mechanisms to prevent relapse, thereby alleviating vulnerability to relative poverty.

Drivers of Hired Labour Use among Sugarcane Outgrowers in Kilombero Valley, Tanzania

This study examined the drivers of hired labour use among sugarcane outgrowers in Kilombero Valley, Tanzania. The study adopted the cross-sectional survey design, encompassing the population of 8,987, with the sample size of 400 drawn from four villages within Kilosa District. The composition of the sample size was determined through a stratified sampling method, categorising outgrowers based on villages, hamlets and the gender of household heads. Data was gathered through a questionnaire. Descriptive and binary logistic regression analyses were employed, with the dependent variable measured on a dichotomous scale. The results reveal that household size, income, age, gender, land size and farm distance from home significantly influenced the utilisation of hired labour while the level of education was identified as an inconsequential contributing factor. These findings shed light on the recent development of hired labour use among outgrowers in the agro-industrial sector. Therefore, improving the functioning of rural labour markets should be considered an effective way of enhancing labour productivity for the mutual benefits of both households that hire and sell labour.

SPATIAL MODELING OF POVERTY IN BENGKULU PROVINCE WITH MIXED GEOGRAPHICALLY WEIGHTED REGRESSION

The percentage of poor people in Bengkulu Province is high from year to year. The poverty rate in Bengkulu Province also tends to fluctuate. If there is a decrease in the poverty rate, the decrease is relatively small. Poverty in the regions of Bengkulu Province also varies from district to district, subdistrict, and village to village, because poverty data is spatial data that varies regionally. The diversity of poverty data in Bengkulu Province is influenced by spatial effects, namely spatial dependency and spatial heterogeneity. Spatial dependency occurs due to spatial error correlation in cross section data, while spatial heterogeneity occurs due to random area effects, which is the difference between one region and another. Therefore, classical methods are not qualified enough to analyze the resulting diversity. This research will model the poverty of each district/city in Bengkulu Province using Mixed Geographically Weighted Regression (MGWR), because this method is quite complex in modeling data that contains spatial heterogeneity and variations in geospatial data. This modeling aims to identify and analyze poverty indicators in Bengkulu Province spatially, namely based on poverty data in each district/city in Bengkulu Province. The results showed that by using the MGWR method, the variables that locally influence the percentage of extreme poor people in each district/city in Bengkulu Province are Female Household Head Gender and not having a waterheater . Meanwhile, the variable that has a global effect on the percentage of the extreme poor in each district/city in Bengkulu Province is not having a flat screen television ().

Adolescent pregnancy persists in Nigeria: Does household heads' age matter?

About 700,000 pregnant youths die each year in developing countries. To determine whether the persistent adolescent pregnancy in Nigeria between 2013 and 2018 was influenced by proximal factors, particularly household head age, we carried out a cross-sectional study on adolescent girls that participated in the 2018 Nigeria Demographic and Health Survey (NDHS). Age of first birth, residence type, age, and gender of household heads was collected using a 2018 standardized NDHS. Multiple logistic regression was performed to test for associations. We analyzed 8,448 adolescents who had experienced pregnancy during the study period. The results demonstrated that girls with male household heads aged 45 and older have lower odds of adolescent pregnancy (OR = 0.619; 95% CI = 0.447, 0.856; p = 0.004 compared to those with female household heads in the same age group. Girls with male household heads in three younger age groups have higher odds of adolescent pregnancy than those with female household heads in the corresponding age group (15-24: OR = 1.719, 95% CI = 1.042, 2.835, p = 0.034; 25-34: OR = 4.790, 95% CI = 1.986, 11.551, p < 0.001; 35-44: OR = 2.080, 95% CI = 1.302, 3.323, p = 0.002). Girls with household heads aged in the 15-24 and 25-34 groups had higher odds of adolescent pregnancy compared to those with household heads aged 45 and older. Higher odds of adolescent pregnancy in Nigeria were found among girls with household heads aged in the 15-24 and 25-34 groups compared to those with household heads aged 45 and older. Although girls with younger male household heads are at an increased risk nationally, those living in the rural areas with younger household heads are at an even higher risk for adolescent pregnancy. Therefore, levels of socioecological model must be considered in planning for effective interventions.

Minimum wages and household income distribution: Evidence from China

AbstractBased on the 2004–2015 China Health and Nutrition Survey (CHNS) data, this article examines the effect of minimum wages on household income distribution. The results show that minimum wage increases significantly reduce the probability of per capita household net income falling below the poverty threshold, indicating that minimum wage can play a role in poverty reduction. Furthermore, we find that minimum wages significantly reduce the probability of per capita household income being 0–3 times lower than the poverty threshold, but have little effect on households with per capita net income more than 3 times the poverty threshold, which means that minimum wage increases can reduce household income inequality. We also find heterogeneous effects of minimum wage increases on household income distribution across gender, education, hukou, and age of household heads. Finally, we show that minimum wage increases play a role in regulating household income distribution by increasing the wages of employed individuals in households.

Unveiling key determinants of higher education expenditure in Vietnam: an adaptive LASSO approach in Tobit regression analysis

PurposeThis paper investigates the key determinants affecting household spending for university degree in Vietnam. This paper serves as empirical evidence for policymakers to select appropriate factors to estimate financial needs for university students in Vietnam.Design/methodology/approachWe employ an innovative variable selection approach with adaptive LASSO for Tobit Regression Model.FindingsThe results suggest income, region and ethnicity play significant roles in determining higher education expenditure at Vietnamese households. Gender-related indicators (such as gender of household head, student’s gender), distance to school, occupations, etc. are empirically insignificant.Originality/valueThis study proposes a data-driven method by interfering regulation and Tobit regression to understand the divergence in higher education spending. Especially, adaptive LASSO was first introduced to identify key determinants of higher education expenditure at household level in Vietnam. It hopes to tackle over-fitting problems of traditional OLS regression in previous literature.

Unlocking gender dynamics in food and nutrition security in Ghana: assessing dietary diversity, food security, and crop diversification among cocoa household heads in the Juaboso-Bia cocoa landscape.

Malnutrition is a worldwide problem that impacts every country, affecting one in three individuals, including Ghana. According to estimates from the Food and Agriculture Organization (FAO), 690million people were undernourished globally in 2019. Malnutrition is no exception in rural cocoa communities in Ghana. The expansion of cocoa is causing food insecurity and low dietary diversity in most cocoa-growing areas. There is little information on the food security status and dietary diversity among male-headed and female-headed cocoa households in the Juaboso-Bia cocoa landscape. Thus, this study sought to explore the dietary diversity distribution, food security status, sources of staple food, food unavailability periods, food production status, themes contributing to low dietary diversity and food insecurity, and perception of the impact of cocoa expansion on crop diversification among male-headed and female-headed cocoa households in the study area. Both quantitative and qualitative research methods were employed to address the research questions. The study collected 200 semi-structured questionnaire data and 14 in-depth interview data from cocoa household heads in the Juaboso-Bia landscape. The survey data was cleaned and analysis, such as household dietary diversity status, food security status, and binary logistic regression were performed in the Statistical Package for Social Scientists (SPSS). The in-depth interviews were analyzed using thematic analysis. Through this study, it was revealed that 62.8% of the male-headed cocoa households had medium to high dietary diversity compared to their female counterparts 39.3%. About 47.9% of the male-headed households were food secure than the female-headed households (29.1%). Moreover, the months that both male and female-headed households recalled facing severe food unavailability were July and June. In addition, climate change/variability, unavailable lands, poverty, large household size, and gender stereotypes were themes promoting low dietary diversity and food insecurity among male and female-headed households. Furthermore, sex, total household income, and cropland conversion to cocoa were the variables influencing household heads' perception of the impact of cocoa expansion on crop diversification. The study showed that the male-headed cocoa households had high dietary diversity and were food secure than the female-headed cocoa households, lending credence to the conceptual framework applied in this study. There is a significant relationship between household head gender and food security status. Therefore, this study recommends the following interventions to improve dietary diversity and food security among male and female-headed cocoa households: raise awareness about the need for diverse diets and provide practical information on how to incorporate a greater variety of food groups into their daily meals; and promote gender equity and inclusivity in food security interventions. Future research could investigate how gender mainstreaming policies in agriculture have helped empower and improve the food security of female-headed households in Ghana.

Impact and adoption of feed technologies at Nharira-Lancashire Dairy Scheme

Abstract The objective of this study was to investigate the impact and adoption of nutrition technologies and their effect on milk production at the Nharira-Lancashire dairy scheme. Sixty households (30 from each scheme) were randomly selected and interviewed by use of a semi-structured questionnaire. Fisher’s exact and Monte Carlo tests were carried out to determine the association between farmer experience and feed technology. Logistic regression was used to rank farmers’ awareness and adoption of feed technologies. The results indicated that farmers have been exposed to at least five new feed technologies and adoption is influenced by education status, sex, age and gender of household head (P &lt; 0.05). Feed technology adoption was in the order: silage 70.83% &gt; sunflower cake 41.66% &gt; legume reinforcement 27.1% &gt; legume trees 16.66% &gt; napier fodder 8.33% &gt; urea treatment 4.17%. Milk yield was affected by month and year (P &lt; 0.05). The impact of adoption was below anticipation, as indicated by lack of economic surpluses. A cost-benefit analysis needs to be carried out for all feed technologies within the study area to streamline viable options.

Adoption of community-based land rehabilitation programs (CBLRP) and its effect on livelihoods in Offa district, south Ethiopia

Land degradation is a major issue in Ethiopia and has a significant impact on agriculture and subsistence. Community-based land restoration projects are essential to address this issue. This study aimed to evaluate the implementation of a community-based land restoration programs and its impact on livelihoods in the Offa District of south Ethiopia. Four Kebeles were randomly selected for the study and 133 household heads (52 program participants and 81 non-participants) were selected using a simple random sampling method. Data was collected by using an interview schedule, focus-group discussions, and key informant interviews. Data were analyzed using a binary logistic regression model, propensity score matching, participation index (PI), t-test, and chi-square test. The results showed that the implemented land rehabilitation measures had higher crop production and farm income for most adopter households compared to their counterparts. The logistic regression model revealed that the slope of farmland, gender of household heads, family size, perception of rehabilitation, access to training, and farm experience positively influenced household participation in the community-based land rehabilitation programme (CBLRP) in the study area. However, the age of the respondents, access to education, size of farmland, frequency of extension contact positively and ownership of livestock negatively influenced household participation. Propensity score matching revealed that CBLRP resulted in higher crop output and farm revenue for most participating families than counterparts. Based on these findings, it is recommended that agricultural and rural development offices, non-governmental organizations, and other stakeholders should consider the factors that influence household participation in rehabilitation programs in the study area to effectively address the issue of the households’ participation at various levels of rehabilitation programs.

한국의 소비불평등 요인분해에 관한 연구

Purpose: This study examines the determinants of household consumption expenditure and quantifies their contribution to within group inequality by gender of household head in South Korea.&#x0D; Research design, data, and methodology: This study first decomposes total inequality into within and between inequality by gender of household head. It also examines the association between a vector of household demographic and socioeconomic characteristics and household consumption expenditure in an attempt to identify how much inequality can be attributed to each of explanatory factors. This study empirically draws upon the recent national representative dataset, Survey of Household Finance and Living Conditions (SFLC) 2 021 c ollected b y Korea Statistical Office.&#x0D; Results: According to the present study, inequality in 2021 in South Korea was found to be mainly dominated by inequality within population sub groups. Examining the determinants of household consumption inequality, it shows that factors and their conributions are different between male and female headed households. For instance, whilst the type of job occupation of a head appears to have a large impact on inequality within male headed households, it is found to have marginal contribution compared to within female headed households (25.2% vs. 7.4%). In case of household demography, it is observed as the second largest factor increasing within inequality among female headed households (31.2%) whereas its contribution to inequality within inequality among male group was relatively small (18.6%).&#x0D; Implications: Our study suggests that target specific investigation and deep structural understanding need to be made on the different characteristics of within inequality as reflected by the different role of factors and their contributions. Amongst, the different inequality impact of higher education might reflect that the expansion of higher education had a relatively lower impact on the living stand of female group than that of its counterpart, male group. Finally, the discriminatory barriers (e.g. job occupation) against female may reduce within inequality, it could widen total inequality, worsening distribution between male and female groups.

Multidimensional energy poverty: A study of its measurement, decomposition, and determinants in Indonesia

This study estimated Indonesian households' Multidimensional Energy Poverty Index (MEPI) using Alkire-Foster's multidimensional poverty concept to capture the incidence, intensity, decomposition, and changes over time. The study used monetary and non-monetary variables to identify the availability, accessibility, affordability, consumption, and deprivation of modern energy services; and compared existing affordability indicators. Redundancy, robustness, and sensitivity tests were conducted with three weighting schemes and deprivation cut-offs. The study decomposed and determined household-head (HH) socio-economic, demographic, and geographic factors for MEP using the Logit, Probit, Tobit, and Heckman Selection models. The results show that the low-income and high cost (LIHC) was the most robust affordability indicator, followed by the ten percent rule (TPR). The complement-frequency weighting scheme gave the smallest and most robust MEPI compared to equal and principal component analysis (PCA) weighting. Three alternative deprivation cut-offs can show households as “vulnerable,” “moderately,” or “severely” energy poor. The MEP incidence decreased, but its intensity remained high and increased. Energy-poor households were averagely deprived of 55–60 % of all weighted indicators. The lack of modern cooking services was the primary cause. MEPI differed by geographical location and HH gender, education, business field, and employment status. Policies that boost education levels, raise household income, and increase the availability, accessibility, and affordability of modern cooking technology in the rural, hinterland, or non-coastal forested locations in the eastern islands of Indonesia may minimize the number of households experiencing MEP.

Effectiveness of a community-centered Newcastle disease vaccine delivery model under paid and free vaccination frameworks in southeastern Kenya.

In the absence of effective drugs, vaccines constitute the cornerstone for the prevention of Newcastle disease (ND). Different strategies have been implemented to increase vaccination, but uptake remains low, underscoring the need for novel vaccine delivery methods. We designed and assessed the effectiveness of a community-centered ND vaccine delivery model in southeastern Kenya. Under the model, we sensitized smallholder chicken farmers (SCFs) through structured training on chicken husbandry, biosecurity, ND, and its vaccination, among other aspects. We subsequently engaged trained community vaccinators (CVs) to deliver vaccines and/or provide vaccination services to SCFs at a cost on one hand and, at no cost on the other, in selected sites to address challenges of inadequate service providers, vaccine unavailability, and inaccessibility. We tested this model under paid and free vaccination frameworks over one year and assessed the model's effect on vaccine uptake, ND-related deaths, and vaccine accessibility, among other aspects. Overall, we vaccinated more chickens at free sites compared to paid sites. However, we vaccinated a significantly higher mean number of chickens per household at paid (49.4±38.5) compared to free (28.4±25.9) sites (t = 8.4, p<0.0001). We recorded a significant increase in the proportion of SCFs who vaccinated their chickens from 31.3% to 68.4% (χ2(1, N = 399) = 58.3, p<0.0001) in paid and from 19.9% to 74.9% (χ2(1, N = 403) = 115.7, p<0.0001) in free sites pre- and post-intervention, respectively. The mean number of ND-related deaths reported per household decreased from 18.1±31.6 pre-intervention to 7.5±22.3 post-intervention (t = 5.4, p = 0.000), with higher reductions recorded in paid sites (20.9±37.7 to 4.5±11.2) compared to free sites (15.0±22.6 to 10.7±29.7) pre- and post-intervention, respectively. Farmers with access to vaccines increased significantly from 61.1% to 85.4% (χ2(1, N = 399) = 31.7, p<0.0001) in paid and 43.6% to 74.9% (χ2(1, N = 403) = 38.4, p = 0.0001) in free sites pre- and post-intervention, respectively. We established that type of intervention framework, gender of household head, if the household head attended training on chicken production in the last 12 months, access to information on ND vaccination, and the number of chickens lost to the previous ND outbreak were significant predictors of ND vaccine uptake. Our findings indicate the model has a broader reach and benefits for SCFs. However, policies should be enacted to regulate the integration of CVs into the formal animal health sector.

Children's Resilience to Not Working Before and During the Pandemic in Rural Indonesia

Children are an asset to a country and a resource that will further national and international development goals. Children who work will be threatened by their health, safety, education, and development. In the last 10 years, BPS has recorded the percentage of child labor fluctuating with the latest record in 2021 at 2.63 percent. The high percentage makes the phenomenon of child labor still a global concern to be addressed as contained in the Sustainable Development Goals. Therefore, the purpose of this study is to determine the determinants of children's resilience not to work in rural areas during the observation period before and during the COVID-19 pandemic. This study uses a three-level survival analysis method by utilizing Sakernas data for August 2019-2020 and data from the BPS website. The results of this study obtained that the percentage of children aged 5-17 years who worked increased during the pandemic by 5.62 percent to 18.88 percent in rural areas. The variables of child gender, child education, child status at individual level; household head gender, household head occupation sector, and household poverty status at household level; and percentage of poor population at districts level significantly affect the resilience of children aged 5-17 not to work in the period before and during the COVID-19 pandemic.

Smallholder Vegetable Farmers’ Choice of Agricultural Marketing Channels in Maekel Region, Eritrea

One of the major problem of agricultural development, in developing and transition economies, is the lack market and marketing channels for agricultural produce. Market channel choice makes important contributions to the incomes and other livelihood attributes among smallholder farmers in developing countries. However, smallholder farmers in developing countries do not use output markets effectively due to a number of factors. The objective of the study was to assess the technical, institutional and demographic factors that determine marketing channel choices of small scale vegetable farmers in Maekel region, Eritrea. Data were collected from 206 randomly selected vegetable farming households from 13 villages. Three marketing channels were identified in the study area. These are farm-gate sales, private traders and a combination of both. The result of the study revealed that almost half of the farmers (52%) use farm-gate, while 24% and 23% of the farmers choose private traders and both marketing channels for the sale of their vegetable produce, respectively. Moreover, result of the multinomial regression reveals that education, gender of household head, household size, age of household head, distance from the market, availability of road infrastructure and social network of farmers significantly influence marketing channel selection of smallholder farmers. The results of the study are used to draw policy recommendations that improve marketing channel selection of smallholder vegetable farmers.

Effect of market participation on the food and nutrition security status of the rural smallholder farmers: the case of Limpopo and Mpumalanga provinces, South Africa

IntroductionHunger and malnutrition remain serious issues in developing countries, particularly in rural regions. Increased market participation of smallholder farmers can result in improved livelihood and nutrition outcomes. However, smallholder farmers encounter several obstacles that hinder their ability to participate in the market. As a result, the objective of this study is to investigate the factors that influence market participation and its impact on household nutrition security.MethodsThe study relied on secondary data gathered from a sample size of 1,520 people. About 389 of smallholder farmers participated in the market.Results and DiscussionThe results from Food Consumption Score (FSC) cut-off points showed that in the overall sample households, 54% were within the acceptable food consumption diets (&amp;gt;35), while 30 and 16% were in the borderline (21.5–35) and poor diets (0–21), respectively. According to the Household Dietary Diversity Score (HDDS) findings, 57% of smallholder farmers in the total population sample consumed highly diverse diets (consisting of at least six food groups), while 25 and 18% of smallholder farmers consumed diets with medium dietary diversity (consisting of 4–5 food groups) and low dietary diversity (consisting of at most three food groups), respectively. The results from marginal analysis showed that gender of household head, receiving social grants and higher wealth index had a positive impact on market participation. The results from Poisson endogenous treatment effect model showed that household size, ownership of livestock, social grant, wealth index, access to market information, and involvement in crop production had a positive and statistically significant impact on household nutrition security. On the other hand, agricultural assistance showed a negative and significant impact on household nutrition security.Conclusion and RecommendationsIt can be concluded that an improvement in agricultural assistance can improve the household nutrition security status. The improvement of agricultural assistance is more associated with improvement of extension services, which can lead to more production of diverse crops and more market participation. Health extension workers need to do more nutrition programs and workshops in rural areas. These programs and workshops will be intended on providing nutrition education, which will create awareness to smallholder farmers on diverse and balanced food items they should produce, sell, and consume.

Factors affecting utilization of modern contraceptive methods among women of reproductive age in Ethiopia.

Modern contraceptive use is important for improving health and socioeconomic outcomes, but Ethiopia is among the lowest-using countries. Therefore, this study aimed to determine factors affecting modern contraceptive use among women of reproductive age in Ethiopia. This population-based cross-sectional study used data obtained from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS). A total of 8,885 reproductive-age women were included in the analysis. A weighted generalized estimating equation approach was used to account for the clustering and weighting effects in the assessment of associations between modern contraceptive usage and socioeconomic and demographic variables. Modern contraceptive use among women of reproductive age in Ethiopia is low (28%). Prevalence is highest among women aged 25-34 (40.11%), with higher education (30.97%), who are Orthodox Christians (31.67%), married (40.40%), middle wealth index (31.70%), female-headed households (31.42%), with 1-3 living children (44.85%), who headed by under 31 years old (40.07%), and in the Amhara region (34.45%). In the generalized estimating equation analysis, women aged 35-44 and over 45, Muslims, households heads aged 41-50 and over 50, and in female-headed households were less likely to use modern contraceptives, while women with primary, secondary, and higher education, married, middle and rich wealth index, and with 1-3 and more living children were more likely to use modern contraceptive than their counterparts (reference group) and were statistically significant. Modern contraceptive use is notably low among women of reproductive age in Ethiopia. Factors such as age, women's educational level, religion, marital status, number of living children, wealth status, gender and age of household head, and region were identified as significant factors associated with modern contraceptive use. Therefore, to increase modern contraceptive use, governmental and non-governmental organizations should invest in women's education and financial empowerment and raise awareness about the benefits of modern contraceptives, especially among older, unmarried, financially poor, elderly-led households, with few living children, and uneducated women.

Measuring The Causality on Cooperatives, Livelihood Diversification and Determinants among Poultry Farm Holders: A Case Study of South West Nigeria

Cooperative membership and livelihood diversification have been observed to influence households’ economic situations, while little is known about their interplays as a matter of mutual exclusivity when they both occur. This study was hence conducted to investigate the level of cooperative performance and how cooperative membership influences livelihood diversification alongside some other imperative hypothesized determinant factors, using primary data collected from 210 poultry farm holders in a multistage sampling process and analyzed with econometric, parametric, and nonparametric analytical estimators at 95 % confidence interval. Results showed that the majority of the cooperator respondents are satisfied with access to loans (72.38%), Loan repayment (67.62%), transportation (68.10%), marketing (67.14%), training (69.5%), patronage (70%), and Political interference (69.05%) while a relatively large proportion of the respondents (59.04%) are diversified, while a majority (89.52%) of this diversified category secondarily diversifies into non-farming activities. Also, the proportion of cooperator-diversified poultry farming households (59.41) narrowly exceeded the non-cooperator category (58.72); hence, further econometric analyses conducted showed that gender of household head, level of formal education, primary occupation, primary labour source, and cooperative membership negatively influenced livelihood diversification, but otherwise for multidimensional poverty, all significant at P?0.1, P?0.5%, P?0.01%, P?0.01%, P?0.01%, and P?0.1% probability levels accordingly. Econometric analyses of empirical data revealed that multidimensional well-being significantly increased livelihood diversification, which is offset by an increased level of formal education, cooperative membership, male-headed households, and dependence on family labour; hence, effective cooperative management be further upheld so as to maintain and or further improve the current cooperative performance level in order to cushion credit access constraints confronting agricultural activities. Furthermore, cooperative membership was found to negatively correlate with multidimensional poverty; hence, cooperative membership should be encouraged owing to the way it influences livelihood diversification to improve multidimensional welfare rating. Also, well-trained labour should be employed in order to increase managerial efficiency.