Household Head Research Articles

Factors Affecting Adoption of Improved Modern Beehive Technology in West Hararghe Zone, Oromia National Regional State, Ethiopia

This study attempted to identify adoption status, factors affecting the adoption decision and intensity, and identify major constraints of beekeepers for modern beehive adoption. Agriculture is a backbone of country economy. Beekeeping is one of an agricultural subsector which is a sustainable and low-investment strategy for poverty reduction. Both qualitative and quantitative data collected from a sample of 180 beekeepers which collected from three districts of West Hararghe zone and analyzed using STATA software. Heckman two-stage model was employed for the analyses. In study area less than half of the beekeepers were adopters of modern beehive technology. Heckman two-stage model of first-stage results revealed that households’ decision to adopt modern beehive were influenced by factors such as age of household head, education level, livestock owned (tlu) and number of extension contact. Furthermore, the second-stage results indicated that intensity of modern beehive adoption of households’ was influenced by factors such as distance from FTC, access to accessory, livestock owned (tlu), access to training and number of extension contact. From policy perspective improving distribution of modern beehive with full package; encourage extension service, and focus on the deliverance of training are crucial for the adoption of beekeeping technologies and increasing honey production.

Predictors of the willingness to accept a free COVID-19 vaccine among households in Nigeria

BackgroundTo inform vaccination policy and programmatic strategies to increase COVID-19 vaccine uptake, an understanding of the factors associated with the willingness to vaccinate is needed. MethodsWe analyzed data collected from the sixth and tenth round of the Nigerian COVID-19 National Longitudinal Phone Survey conducted by the National Bureau of Statistics and the World Bank in 2020 and 2021, respectively. Exploratory data analysis and feature selection techniques were used to identify important variables. Multivariable logistic regression models were fitted to assess the association between socio-demographic and economic factors and the willingness to receive a free COVID-19 vaccine among Nigerian households at two different time points before vaccines became widely available. ResultsData from 1,733 and 1,651 Nigerian households who completed the sixth and tenth round of the survey, respectively, were included. Most respondents (>85% of households) were willing to receive a free COVID-19 vaccine from both survey rounds. The median household size was 6 (IQR: [4, 8]) with females heading about 18% of the households. Approximately 22% of the household heads had not received any formal education. Compared to households whose head had no education, households whose heads had completed tertiary education or higher had significantly lower odds of willingness to be vaccinated (ORround 6: 0.46, 95% CI: [0.31, 0.68], ORround 10: 0.49, 95% CI: [0.34, 0.71]). An increasing proportion of male household members was associated with greater willingness to receive a free COVID-19 vaccine (ORround 6: 1.84, 95% CI: [1.01, 3.33], ORround 10: 5.25, 95% CI: [2.86, 9.65]). Significant associations with vaccine willingness were also observed across geopolitical zones of residence with households in South-East Nigeria (ORround 6: 0.16, 95% CI: [0.10, 0.24]; ORround 10: 0.29, 95% CI: [0.19, 0.43]) and South-South Nigeria (ORround 6: 0.57, 95% CI: [0.36, 0.90], ORround 10: 0.32, 95% CI: [0.22, 0.48]) less likely to be willing to receive a free vaccine compared to households in North-Central Nigeria. ConclusionThese findings from two different time points before vaccine roll-out suggest that the educational level of household head, proportion of male household members, and the geopolitical zone of residence are important baseline predictors of the willingness to receive a free COVID-19 vaccine in Nigeria. These factors should be carefully considered and specifically targeted when designing public health programs to inform early-stage strategies that address underlying vaccine hesitancy, improve vaccine uptake, promote ongoing COVID-19 vaccination efforts, and potentially enhance other immunization programs in Nigeria.

INEQUALIRY, ONLINE TEACHING AND QUALITY EDUCATION, “EXCLUDING THE EXCLUDED” IN INSTITUTIONS OF HIGHER LEANING IN ZIMBABWE: HOW TO BUILD INCLUSIVE INSTITUTIONS?

The covid pandemic has been marked by negative outcomes locally, regionally and globally. The sudden closure of institutions of learning, copious teaching and learning dynamics emerged giving rise to dire demand for blended learning. The study explores the intersection of gender, socio-economic status, disability as well as online learning and how this impacted on vulnerable learners’ access to quality education during the pandemic and its aftermath. The paper was framed within the exclusion and social justice theoretical frameworks. The design was phenomenological, focusing on the lived experiences of vulnerable female, orphans, those living with disabilities and learners from low socio-economic status. Midlands State University and the vulnerable groups were purposively sampled. Key university informants were officers from information and technology services, the library, Quality Assurance and Professional Development, Disability Resource Centre, student affairs division respectively giving a total of 5 key informants. Focus group discussions were held with 6 orphans from child headed households, 5 male and 7 female students from low socio-economic status from both rural and urban areas and 14 students living with differing disabilities, giving a total of 32 participants. Selection from other vulnerable students beside those living with disabilities was based on voluntariness and the need for a gender matrix. Online teaching and learning created a digital access gap with the most vulnerable experiencing various types of exclusions. To achieve effective teaching and learning, the paper recommends inclusive pedagogies and sustainable learning frameworks that allow the achievement of SDG 4on equitable and inclusive education

The Role of Informal Cooperation to Improve the Agricultural Practices: Case of El-Nafir in South Kordofan State, Sudan

El-Nafir is an informal cooperation form practiced in Sudan to accomplish various daily activities. Despite the important role of El-Nafir, especially in offering labours to farmers, no studies have been conducted to highlight its importance. Therefore, this study aimed to investigate the role of El-Nafir in improving agricultural practices in Abu Jubahyah Locality, South Kordofan State, Sudan. Heads of household (HHHs) questionnaires and field observations were used for primary data, where 75 HHHs were selected randomly. Descriptive analysis, T-test, and correlation analysis were performed using SPSS. The results showed that El-Nafir has contributed to improving agricultural production. The findings indicated that implementation per Fadden (4200 m²) is cost-effective and time-efficient. Implementing agricultural activities per Fadden via El-Nafir was low cost (18.01 US$) compared to hired labourers (42.89 US$). The study found that lack of financial support, shortage of skilled labours, lack of collective action awareness, war, and insecurity are the factors that influenced the success of El-Nafir's strategy. The study concluded that El-Nafir's strategy improved agricultural practices inside and outside the farms, including cultivation, crop harvesting, protection, and cleaning of the harvested crops. The study recommends the adoption of El-Nafir to enhance the agricultural production and marketing.

Factors Associated with the Access and Use of Improved Latrine Facilities in Tanzania

Access to improved latrine facilities is a basic human right and fundamental to good health. Inadequate sanitation practices cause serious health problems especially transmission of diarrhea. The study aimed to determine associated factors with access to and use of improved latrine facilities in Tanzania. The data for this study was obtained from the 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey (2022 TDHS-MIS) by visiting https://www.dhsprogram.com. Data were analyzed using STATA Version 16, whereby a multilevel logistic regression model was chosen as the statistical approach. The study revealed that overall 67.76% of the households had access to improved latrines. The study revealed that head of households with higher education, rich 55+ years and with television had higher odds of using improved toilets compared to others. The study concludes that more than half of the households in Tanzania had access to an improved latrine which is not common in most developing countries, especially in sub-Saharan Africa, and thus can be used as a reference for learning. This implies the government and stakeholders’ interventions have brought positive changes. Hence, the need of policy enforcement in specific areas as well as government and stakeholders creating awareness campaigns to enable more households’ access to improved latrine in both rural and urban areas

Farmers Coping and Adaptation Mechanisms to Perceived Changes and Variability in Climate

There is a growing global concern about the detrimental effects of climate change and variations on rain-fed agriculture. This study determined households’ perceptions of changes and variations in climate and institutional roles in farmers' coping and adaptation mechanisms to changes and variations in climate in Paicho Sub County (S/C), Gulu district in Northern Uganda. Data was collected through structured household interviews and analyzed using regression analysis and descriptive statistics. Findings showed that respondents perceived rainfall and temperature to be the climatic parameters that had changed most with rainfall onset largely unpredictable. The major coping mechanisms to changes and variations in climate included: buying food from the market, exchange of labor for food, and getting food help from relatives, community, and food agencies while, the major adaptation mechanisms included: getting jobs outside agriculture, adjustment of planting dates, diversification of production, carrying out mixed cropping, and growing improved crop and animal varieties. Additionally, the gender (P<0.05), the size of the land (P<0.05), and the age of the household head (P<0.05) were found to be the most significant factors influencing adaptation mechanisms. Furthermore, the role of existing institutions in community adaptation to changes and variations in climate included: making decisions on planting time, providing access to information relevant to coping and adaptation, providing access to credit, governing entitlements, and capacity building. In conclusion, there is a need for better and new crop varieties that can survive under changed and varied climatic conditions, and a need for more enhanced adaptation mechanisms

A comprehensive study on the livelihood implications of transitioning from cocoa to rubber plantation in Ghana

The study, conducted in Manso Amenfi, Western Region, Ghana, explored the livelihood implications of transitioning from cocoa to rubber plantations. Using a cross-sectional survey with 384 participants, data revealed a decline in cocoa production levels. The socioeconomic factors that influence farmers’ land use shift behaviour were age, household size, being a household head, farm size, educational level, access extension and labour availability. The knowledge factor that was ranked first as influencing farmers shift behaviour was high price of rubber while the behavioural factor was the farmers’ personal belief that rubber plantation will do well than cocoa. The farmers agreed that rubber plantation has effect on their livelihood. The study recommends interventions to make cocoa cultivation more profitable, addressing concerns like low prices, pests, diseases, and soil fertility, emphasizing the need for support from agricultural extension officers, the Ghana Cocoa Board, and the government.

Determinants of household income and livelihood sustainability of coastal regions: evidence from south-western Bangladesh

The coast of south-western Bangladesh has been facing an increasing severity of climate stressors, thereby affecting the livelihoods of households. This has necessitated the importance of understanding the complex aspects of their sustainability. This study investigates factors influencing household income and livelihood sustainability of coastal residents in southwestern Bangladesh. A survey was carried out among 300 heads of households from the Kailashganj and Laudubi villages under Dacope sub-district of Khulna district (a climate-sensitive region) in Bangladesh. We utilized the composite livelihood sustainability index (LSI) and multiple linear regression to identify the factors influencing coastal households’ income. Findings revealed that the overall LSI among the households was 0.663 (moderate sustainability). Additionally, the highest LSI was found in terms of social capital and the lowest LSI was identified in terms of financial capital. The findings of the regression analysis indicated that monthly household income was positively and significantly influenced by its close linkages to local leaders (p < 0.05) and association with non-governmental organizations (p < 0.01). Moreover, economically active members (p < 0.01), more accessibility of commuting transportation (p < 0.01), and availability of water for irrigation (p < 0.01) were positively and significantly derived the monthly household income. Policymakers can use these results as a basis for formulating policies (e.g., enhancing the training and skill development programs as well as prioritizing investment in expanding irrigation systems) that can address the essential livelihood and income requirements of the community that is affected by climate change.

Geospatial patterns, and individual and community levels factors of cesarean section deliveries in Ethiopia: A spatial and multilevel analysis.

Cesarean Section (CS) is the most popular surgery worldwide in obstetric care to save a mother's or the fetus's life. The prevalence of CS delivery in Ethiopia was 0.7% and 1.9% in 2000 and 2016 respectively and its spatial distribution and variation in Ethiopia are limited. This study provides evidence for healthcare providers and pregnant women on the national CS geospatial distribution and variation to promote evidence-based decision-making and improve maternal and neonatal outcomes. Therefore, this study aimed to determine geospatial patterns and individual and community-level factors of CS deliveries in Ethiopia. A secondary data analysis of 5,527 weighted samples of mothers using the 2019 Ethiopian mini demographic and health survey was conducted. The spatial hotspot analysis using Getis-Ord Gi* hot spot analysis of ArcGIS version 10.7.1 was used to show the spatial cluster of CS and multilevel mixed effect logistic regression analyses were employed. Statistical significance was declared at p-value <0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) was reported. The prevalence of CS delivery in Ethiopia was 5.4% with 95%CI (4.6%, 6.4%). The spatial autocorrelation shows CS was clustered in Ethiopia (global Moran's index = 1.009, and p-value<0.001). Spatial hotspot indicates CS was prevalent in Addis Ababa, Diredewa, Oromo, and Somali regions. The odds of CS delivery were higher among mothers aged 24-35: AOR = 1.98, 95% CI (1.3, 3.1), and 35-49: AOR = 3.7, 95% CI(2.2, 6.1), live with female household heads: AOR = 1.9, 95% CI (1.2, 3.1), mothers with primary AOR = 1.6, 95% CI (1.07, 2.7), secondary: AOR = 2.4, 95% CI (1.3, 4.25) and higher education: AOR = 2.06, 95% CI (1.03, 4.2), multiple births: AOR = 8.1, 95% CI (3.4, 19.74), mothers in Addis Ababa: AOR = 3.4, 95% CI (1.1, 11.9) and Diredewa: AOR = 7, 95% CI (1.23, 40.7) as compared to their counterparts. In Ethiopia, CS deliveries remain below the World Health Organization estimate with distinct geospatial variation. Geographically, CS delivery is concentrated in urban areas like Addis Ababa and Diredewa, as well as in parts of the Somali and Oromia regions. Maternal age, female household head, Muslim religion, higher educational status, and multiple births at the individual level, and region at the community level were factors of CS delivery in Ethiopia. Therefore, efforts should be geared towards strategies and interventions to ensure fair access to CS delivery in line with WHO recommendations, especially in the regions where the CS delivery rate is below WHO estimates in Tigray, Amhara, Afar, and Benishangul Gumze regions.

The Impact of Location of Labor Migration on Rural Households’ Income: Evidence from Jiangxi Province in China

With the increasing occurrence of labor migration (LM), off-farm employment has emerged as a crucial means to augment the income of agricultural households, bridge the urban-rural divide, and achieve rural regeneration. This study utilized a multiple linear regression model and quantile regression model to examine the effect of LM location on rural households’ income. The analysis is based on research data from Jiangxi Province in 2018. The outcomes reveal that both intra-country LM and outside-of-county LM could make a substantial contribution to the increase of overall household income. However, the coefficient of impact for outside-of-county LM is greater. The findings of this study successfully passed the rigorous tests for robustness and endogeneity. Furthermore, the quantile regression analysis indicates that the greatest income-generating impact of intra-county LM occurred at the 90% quantile, whereas the highest income-generating impact of outside-of-county LM appeared at the 75% quantile. The study aims to determine if there is a variation in the income impact of LM in samples with distinct features. Specifically, it investigated the scale of forestland management and the LM of the household head. The results show that the promotion effect of intra-county LM on the total income of rural households was only observed in the sample group with a forestland area larger than 50 mu. Additionally, outside-of-county LM could only promote the growth of the total income of rural households in the sample group in which the head of household has not experienced labor migration. Hence, to enhance the growth of income for rural households amidst China’s urbanization, policymakers should facilitate the controlled migration of labor from rural areas to urban areas while also encouraging the migration of labor within rural areas.

Single-Person Households: Insights from a Household Survey of Fruit and Vegetable Purchases.

Despite the efforts made to promote consumption, some countries are not increasing their fruit and vegetable intake, while household structures are undergoing relevant changes. Fruit and vegetable consumption is necessary but not sufficient for a healthy diet. Previous research has linked adequate fruit and vegetable consumption to a lower risk of cardiovascular diseases, type 2 diabetes, and some mental health conditions. Furthermore, millions of deaths are reported annually worldwide due to diets low in fruit and vegetables, highlighting their critical public health importance. This study aims to separately analyze the purchases of fruit and vegetables in single-person households. We used three waves of the Family Budget Survey, Encuesta de Presupuestos Familiares, in Chile, which is nationally representative of urban areas and includes over 10,000 households in each wave. We employed descriptive statistics to examine the characteristics of the head of household and the food shopper as well as the structure, composition, and overall characteristics of households. Additionally, we performed separate analyses for fruit and vegetable purchases, using these variables to determine the marginal effect on the probability of purchasing fruit or vegetables through probit models. Results show that, from 2011-2012 to 2021-2022, the share of households not purchasing fruit and vegetables increased from 5.0% to 8.4% and that, in single-person households, it rose from 11.2% to 19.1%. Male-headed, single-person households with low education and income were more likely not to purchase fruit, and these households also have decreasing vegetable purchases. Additionally, household income significantly impacts fruit purchases but does not significantly affect vegetable purchases. Our findings highlight the importance of considering single-person households as a target population segment for future public policies to promote fruit and vegetable consumption.

The Influence of Family Leadership Style in Encouraging Awareness and Action on Household Waste Management

Family leadership style has an important role in encouraging concrete action regarding household waste management. Parents or heads of households who set a good example and provide active encouragement to family members to participate in environmentally friendly waste management practices can form positive and sustainable habits in the household environment. Thus, it is hoped that this research can make a significant contribution to the role of families in encouraging concrete actions related to household waste management. This research aims to analyze the role of family leadership style in encouraging awareness and action regarding household waste management in a community in Padang City. This research uses a quantitative approach with a causal associative type of research. The sampling method used was a saturated sample, with 63 participants from the local community. The data obtained was described, then a description of the research results was carried out using the TCR technique. The determination analysis technique uses simple linear regression to test the extent of the causal influence between variable (X) on the resulting variable (Y). The research results show that the family leadership style among the community is considered very good, with the respondent's achievement level reaching 90.66%. Meanwhile, awareness and action regarding household waste management is also considered high, with the respondent's achievement level reaching 92.11%. The family leadership style variable was proven to have an influence of 28.4% on community awareness and action regarding household waste management, while the rest was influenced by other factors such as motivation, education level and other environmental factors.

Exploring the Determinants of Food Insecurity in Pakistan

This research investigates the impact of various socioeconomic, demographic, and contextual factors on household food insecurity in Pakistan, utilizing data from the Pakistan Social and Living Standards Measurements (PSLM) 2019-20. The aftermaths of the Logistic regression analysis emphasize the vulnerability of households to food insecurity, influenced by factors such as literacy levels, income status, gender, marital status and age of the household head, as well as household size and migration status. Households headed by illiterate, lower-income, larger families, and migrants are particularly at risk. Conversely, households headed by older individuals, married couples, females, or those in higher income brackets are likely to experience higher food security due to more stable incomes and better resource management. These results point to the need for specific interventions that target educational and economic enhancements and address demographic vulnerabilities to improve food access and security for diverse groups.

Household Energy Poverty in the Context of Socioeconomic Status and Area of Residence: A Comparison of Central and Southern Punjab

Researchers have increasingly focused on the impact of energy poverty across various sectors of the economy. This paper aims to identify the determinants of household energy poverty in Central and Southern Punjab, Pakistan, utilizing the Pakistan Demographic and Health Survey Data from 2017-18. The analysis employs descriptive statistics and binary logistic regression to assess the influence of various socioeconomic and demographic factors on multidimensional energy poverty. The survey results indicate a disparity between the two regions, with just over 50 percent of respondents reporting energy poverty. The education level of the household head, wealth status, and place of residence are critical factors influencing multidimensional energy poverty. The findings highlight the substantial influence of socioeconomic factors on household energy poverty and underscore the necessity for effective policies to address these challenges.

Land Rental Transactions in Ethiopian Peri-Urban Areas: Sex and Other Factors for Land Rent Transactions

The continuous reduction in peri-urban agricultural land due to spatial urban expansion forces subsistence farmers to seek arable land through different land access strategies. Among these, land rental transactions are crucial for accessing arable land across different regions. This study aimed to examine factors affecting land rental transactions in the peri-urban areas of the East Gojjam Administrative Zone in Ethiopia. Data were collected from 353 household heads of peri-urban areas, who were affected by expropriation. A total of 350 valid responses were analyzed using descriptive and inferential statistics and an econometrics model. The results indicated that 58% of the respondents participated in both renting and renting out land, which underlines the importance of land rental transactions in the peri-urban areas. Specifically, 60% of female-headed households were engaged in land rental transactions, with 14% renting in and 46% renting out land. In contrast, 38% of the male-headed respondents rented land, while only 19% rented out land. The model result identified sex, landholding size, number of oxen, participation in off-farm activities, and extension service as significant determinant variables for renting land. Households made land rental agreements both orally and in written documents, with oral agreements being more prevalent. Transaction dues were conducted through sharecropping and fixed rents, with sharecropping being the most common method. Thus, land rental transactions play pivotal roles to support the livelihoods of peri-urban subsistence farmers.

“A quantitative analysis on the adoption of soil, water, and forest conservation technologies in the upper Gelana watershed, Northeast Ethiopian highlands”

Globally, the degradation of soil, water, and forests has had a significant impact on both livelihoods and the environment. This issue is particularly severe in developing countries, including Ethiopia. Despite extensive efforts to implement conservation measures for soil, water, and forests in the highlands of Ethiopia, there has been a lack of thorough evaluation and documentation regarding the adoption of these practices by rural households. It is crucial to have scientific and up-to-date information at various spatial scales in order to effectively monitor existing practices, scale up successful initiatives, and promote sustainable regional development. Therefore, this paper focuses on analyzing the adoption of soil, water, and forest conservation activities by households in the upper Gelana watershed, South Wollo zone, Amhara Regional State of Ethiopia. The field data collection for this study took place from January to March 2022, from 150 rural household heads. Data analysis was carried out using SPSS software version 23. Descriptive statistics, Pearson bivariate correlation, and multinomial logistic regression were used. The survey findings revealed that 69 % of the respondents had implemented various soil, water, and forest conservation measures at different stages. The Pearson correlation results indicated a positive relationship between the adoption of soil, water and forest conservation practices. The multinomial logistic regression analysis has revealed that age, gender, access to credit, and access to extension services, significantly influenced the households’ decision behaviour to adopt soil conservation practices. Age, access to extension service, and access to water resource were significant predictors of adoption of water conservation practices; whereas age, educational status, and access to extension service were significant predictors of adoption of forest conservation practices. This study underscores the significance of institutional factors in driving the adoption of technology in the research area. It further recommends policies that prioritize the dissemination of information on effective strategies, improvement of access to extension services, water resources, and credit facilities to promote sustainable watershed management. This study is exceptional in its innovative approach, which explores the convergence of these vital conservation domains within the distinct setting of the upper Gelana watershed. Studying the adoption of these technologies is crucial for informing policy-making and designing effective interventions that promote sustainable watershed practices. In this case, the Ministry of Agriculture, and development agents should scale up the adoption of these practices and take remedial actions for those not yet adopted.

Food Insecurity and Nutritional Inadequacy in Children and Adolescents of Basic Education Schools of Cantagalo District in São Tomé and Príncipe, Central Africa.

Food insecurity (FI) is a critical socioeconomic and public health problem globally, particularly affecting children's nutritional status and development. This cross-sectional study aimed to assess the prevalence of nutritional inadequacy among children and adolescents in the Cantagalo district of São Tomé and Príncipe (STP), in Central Africa. It also assessed their households' FI situation and examined sociodemographic, anthropometric, and nutritional characteristics associated with severe FI. Data included 546 children/adolescents (51.8% males, aged 9-15 years) from the eight public basic education schools. A structured questionnaire provided sociodemographic data, while anthropometric measurements assessed nutritional status. Dietary intake data were gathered using a single 24 h dietary recall, and the adjusted prevalences of nutritional inadequacy were obtained using version 2.0 of the PC-Software for Intake Distribution Estimation (PC-SIDE®). The Household Food Insecurity Access Scale was used to assess FI, and households were classified as severely or non-severely food insecure. Multivariable binary logistic regression models adjusted for potential confounders identified factors related to FI. Children's/adolescents' thinness was exhibited in 34.1% of participants, and over 95% had inadequate intake of essential micronutrients, including iron. Notably, 73.7% were severely food insecure. A higher severity of FI was positively associated with a lower intake of iron and certain household head characteristics, such as being female or older, and negatively associated with having a home garden.

Socioeconomic Status and Rate of Poverty in Overweight and Obesity among Spanish Children and Adolescents.

This study aimed to analyze the relationship between socioeconomic status (SES), poverty rate, and the prevalence of overweight/obesity or obesity in children and adolescents aged 2-14. Parents or guardians reported the weight and height of participants, used to calculate body mass index (BMI) and BMI z-scores according to the International Obesity Task Force standards. Participants were categorized into "overweight/obesity" and "no overweight/obesity" and further into "obesity" and "no obesity". The rate of poverty rate was determined using data from the National Statistics Institute of Spain, defining it as the percentage of people with income below 60% of the national median. SES was based on the head of household's occupation and categorized into low, medium, and high levels. Adjusted multilevel models showed participants with medium or high SES had lower odds of overweight/obesity compared to those with low SES (medium SES: odds ratio [OR]: 0.63, 95% confidence interval [CI]: 0.54-0.73; high SES: OR: 0.59, 95% CI: 0.49-0.70). Participants in the high-poverty group had higher odds of having overweight/obesity (OR: 1.40, 95% CI: 1.13-1.74) compared to the low-poverty group. The study highlights significant socioeconomic disparities in childhood overweight/obesity, emphasizing the potential impact of SES and poverty on health outcomes in Spanish children and adolescents.

Impact of Human and Social Capital on Women’s earning: Implications for Home Based and Outdoor Workers

The objective of this study is to explore the effect of human and social capital on women’s earning. The cross-sectional data was collected from 1227 working women both home based and outdoor, residing in urban and rural areas of Multan Division (Pakistan). The extended form of Mincerian earning function was estimated for home based and outdoor workers and results indicates that the coefficient of age, education, training, presence of basic health unit, education of closed relatives, strong family ties and formal ties have significant positive influence on earnings. While the coefficient of presence of disease and distance is negative. For procurement of raw material, the role of middleman is insignificant, has no effect on women’s earnings. Moreover, the coefficients of head of household, ownership of assets, number of children, number of dependents, location, marital status, family setup and awareness about labor laws positively related with earnings. Women who are more satisfied with their work are more likely to work overtime for more earnings. It is recommended that human capital be prioritized by investing additional resources in health care, improving access to higher education and provision of free technical and vocational trainings specifically for home based workers to improve earnings which reduce poverty and put the economy on a path of increased growth and development.

Drivers of land use land cover change and livelihood coping strategies in Sheka biosphere reserve; a case of Shato forest, Southwest Ethiopia

It is evident that the means of subsistence of the community have a significant impact on the management of natural resources. This study examined the socio-economic drivers of LULCC and assessed the impacts of such changes on rural livelihoods in Shato forest, southwest Ethiopia. To map the land use and land cover, supervised classifications were used. The data were collected from 358 household heads through semi-structured questionnaires. A logistic regression model was employed to investigate the dependence of rural households on forest resources. LULC analysis results showed that about 308.29 ha of wetland and 3215.6 ha of natural forest were converted to other land use types during the last 30 years. The findings reveal that a household’s education level, household size, distance from the market, total land owned, skills and social network significantly affect their dependency on forest resources. Respondents gave high rankings to covariates such as erratic rainfall (1.70), market price (1.53), low crop output (1.28), and inadequate infrastructure (1.24). These covariates force rural communities of the study area into two major livelihood diversification strategies. These were crop and income diversification. The study comes to conclude that, the extensive and imprudent use of natural resources is a result of changes in livelihood strategies to cope up with the aforementioned shocks. Thus, the decreasing nature of forest resources results in covariate shocks in the study area and needs serious intervention mechanisms to tackle this trajectory of catastrophe.