Search results for: female-headed households

Authors: Yakubu Abdulai, Kenichi Matsui

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The agricultural industry has faced a variety of challenges in meeting the expanding income demand of the rural population. As a result, rural households must diversify their income sources to meet their income demand. Although income diversification strategies help rural households, it contributes to total household income, and the socio-demographic determinants are not known in the Upper East Region of Ghana. For these reasons, the purpose of this study was to determine the contribution of income diversification strategies to household income and the socio-demographic factors influencing it. We conducted a questionnaire survey among 360 rural households in the Upper East Region of Ghana. We asked about their socio-demographic information, their choice of income diversification strategies, and their remittances through rural-city migration. The questionnaire survey findings demonstrate that the main livelihood income source contributes 22%, and on-farm income diversification contributes the most to household total income (47%), followed by non-farm diversification income (16%) and off-farm diversification income (15%). Calculations from the income diversity index showed that the average income diversification strategy was 0.5 out of 1. The calculation of the income dependence index also showed that the average dependent on a particular source of income was 0.2 out of 1. All the respondents said household members temporarily migrate to contribute to household income through remittances. The results further reveal that their choice of income diversification is influenced by their age, educational background, experience, and farm size. The paper recommends the promotion of rural development policies that increase income-generating activities and educate rural households on how to increase returns from their investment.

Keywords: income diversification, poverty alleviation, rural households, upper east region

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Authors: Sahar Esmaeili, Ramezanali Ghaderi sanavi, Masoomeh Maarefvand, Samaneh Hosseinzadeh

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Introduction: Conducted researches reveal that nowadays, 60 percent of women around the world are the households. The adverse economic condition causes female-headed households and their children to be the most vulnerable people against social harm. Mainly a symptoms of mental illness such as depression, anxiety, obsession and aggression can be seen in female-headed households and their children are potentially exposed to issues such as crime-work, child labor in the black and informal jobs, education deprivation and malnutrition. The aim of this study is to evaluate the effect of Orem self-care education with the FGC technique on the public health of female-headed households. Methods: Sixty-four Female-headed householders who were supported by Saleh Foundation participated in a clinical trial study and were assigned to the case (n=32) and control (n=32) groups. The case group received 4-session Orem’s self-care education with family group conferencing technique. Data were collected using the demographic questionnaire and General Health Questionnaire (GHQ-28) prior to intervention and post-intervention. ANOVA was used to evaluate outcomes. Results: The results showed significant improvement of the intervention group in GHQ (P<0.001) and subscales of Physical Health (P<0.001) Agitation and Insomnia (P<0.001) and Social disorder (P<0.001) and Depression (P<0.001) compared with the control group after the intervention. Conclusion: The intervention of Orem’s self-care education with family group conferencing technique was effective in improving the General Health of Female-headed households

Keywords: orem’s self-care, female-headed households, general health, group

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Authors: Senait G. Worku, Ellen Mangnus

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Inclusive business models which integrates low-income people with companies value chain in a commercially viable way has gained momentum for the perceived potential to contribute to poverty alleviation and food security in developing countries. This article investigates the impact of Community Revenue Enhancement through Technology Extension (CREATE) project of Heineken brewery on smallholder farmers’ wellbeing in Arsi zone Oromia regional state of Ethiopia. CREATE is a Public-Private Partnership (PPP) between Ministry of Foreign Affairs of the Netherlands and Heineken N.V. which source malt barely from smallholder farmers in three zones of Oromia. The study assessed the impact of CREATE on malt barley productivity, food security and new asset purchase in Arsi zone by comparing households that participate in the project with non-participating households using propensity score matching method. The finding indicated that households that participated in the CREATE project had higher malt barley productivity and purchased more new assets than non-participating households. However, there is no significant difference on food security status of participating and non-participating households indicating that the project has a profound impact on asset accumulation than on food security improvement.

Keywords: inclusive business, malt barley, propensity score matching, wellbeing

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Authors: Peter Temitope Agboola

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Food insecurity continues to affect a large number of U.S households during this coronavirus COVID-19 pandemic. The pandemic has threatened the livelihoods of people, making them vulnerable to severe hardship and has had an unanticipated impact on the U.S economy. This study attempts to identify the food insecurity status of households and the determinant factors driving household food insecurity. Additionally, it attempts to discover the mitigation measures adopted by households during the pandemic in the city of Huntsville, Texas. A structured online sample survey was used to collect data, with a household expenditures survey used in evaluating the food security status of the household. Most survey respondents disclosed that the COVID-19 pandemic had affected their life and source of income. Furthermore, the main analytical tool used for the study is descriptive statistics and logistic regression modeling. A logistic regression model was used to determine the factors responsible for food insecurity in the study area. The result revealed that most households in the study area are food secure, with the remainder being food insecure.

Keywords: food insecurity, household expenditure survey, COVID-19, coping strategies, food pantry

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Authors: U. Tumaini, J. Msuya

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Food insecurity is a worrying challenge worldwide with sub-Saharan Africa including Tanzania being the most affected. Although factors that influence household food access security status and ways of coping with such factors have been examined, little has been reported on how these coping strategies vary along the urban-rural continuum especially in medium-sized towns. The purpose of this study was to identify food insecurity coping strategies employed by households and assess whether they are similar along the urban-rural continuum. The study was cross-sectional in design whereby a random sample of 279 households was interviewed using structured questionnaire. Data were analysed using Statistical Package for Social Sciences (SPSS) Version 20 software. It was revealed that the proportion of households relying on less preferred and quality foods, eating fewer meals per day, undertaking work for food or money, performing farm and off-farm activities, and selling fall back assets was higher in rural settings compared to urban and peri-urban areas. Similarly, more households in urban and peri-urban areas cope with food access insecurity by having strict food budgets compared to those in rural households (p ≤ 0.001). The study concludes that food insecurity coping strategies vary significantly from one spatial entity to another. It is thereby recommended that poor, particularly rural households should be supported to diversify their income-generating activities not only for food security purposes during times of food shortage but also as businesses aimed at increasing their household incomes.

Keywords: food coping strategies, household food insecurity, medium-sized towns, urban-rural continuum

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Authors: Eke Bala Sophie Michelle

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The renewable resource character of NTFPs is an opportunity to its sustainability, this study analyzed the role of social capital in the adoption of sustainable management practices of NTFPs by households in the community forest (CF) Morikouali-ye. The analysis shows that 67% of households surveyed perceive the level of degradation of NTFPs in their CF as time passes and are close to 74% for adoption of sustainable management practices of NTFPs that are domestication, sustainable management of the CF, the logging ban trees and uprooting plants, etc. 26% refused to adopt these practices estimate that, at 39% it is better to promote logging in the CF. The estimated probit model shows that social capital through trust, solidarity and social inclusion significantly influences the probability of households to adopt sustainable NTFP management practices. In addition, age, education level and income from the sale of NTFPs have a significant impact on the probability of adoption. The probability of adoption increases with the level of education and confidence among households. So should they be animated by a spirit of solidarity and trust and not let a game of competition for sustainable management of NTFPs in their CF.

Keywords: community forest, social capital, NTFP, trust, solidarity, social inclusion, sustainable management

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Authors: Hana Janáčková

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Housing can be sorted as basic needs of households. Purchase of acceptable ownership housing is important investments for most them. For rental housing households must consider the part of rent expenditure paid in the total household income. For this reason, financial considerations of households in this area depend on the government innervations (public administration) in housing - on housing policy. Market system of housing allocation, whether ownership or tenancy, is based on the fact that housing is a scarce good. The allocation of housing is based on demand and supply. The market system of housing can sometimes have a negative impact on some households, the market is unable to satisfy certain groups of the population that are not able or willing to accept market price. For these reasons, there is a more or less regulation of the market. Regulation is both on the demand and supply side, and the state determines the rules of behaviour for all economic entities of the housing market. This article submits results of analysis of selected regulatory interference of the state in the housing market and assesses their implications deforming the market in the selected region of the Czech Republic. The first part describes tools of supports and the second part discusses deformations and analyses their consequences on the demand side of housing market and on supply side.

Keywords: housing, housing market, microeconomic consequences, deformation

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Authors: Jaroslav Kraus

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Spatial information about demographic processes are a standard part of outputs in the Czech Republic. That was also the case of Population and Housing Census which was held on 2011. This is a starting point for a follow up study devoted to two basic types of households: single person households and households of one completed family. Single person households and one family households create more than 80 percent of all households, but the share and spatial structure is in long-term changing. The increase of single households is results of long-term fertility decrease and divorce increase, but also possibility of separate living. There are regions in the Czech Republic with traditional demographic behavior, and regions like capital Prague and some others with changing pattern. Population census is based - according to international standards - on the concept of currently living population. Three types of geospatial approaches will be used for analysis: (i) firstly measures of geographic distribution, (ii) secondly mapping clusters to identify the locations of statistically significant hot spots, cold spots, spatial outliers, and similar features and (iii) finally analyzing pattern approach as a starting point for more in-depth analyses (geospatial regression) in the future will be also applied. For analysis of this type of data, number of households by types should be distinct objects. All events in a meaningful delimited study region (e.g. municipalities) will be included in an analysis. Commonly produced measures of central tendency and spread will include: identification of the location of the center of the point set (by NUTS3 level); identification of the median center and standard distance, weighted standard distance and standard deviational ellipses will be also used. Identifying that clustering exists in census households datasets does not provide a detailed picture of the nature and pattern of clustering but will be helpful to apply simple hot-spot (and cold spot) identification techniques to such datasets. Once the spatial structure of households will be determined, any particular measure of autocorrelation can be constructed by defining a way of measuring the difference between location attribute values. The most widely used measure is Moran’s I that will be applied to municipal units where numerical ratio is calculated. Local statistics arise naturally out of any of the methods for measuring spatial autocorrelation and will be applied to development of localized variants of almost any standard summary statistic. Local Moran’s I will give an indication of household data homogeneity and diversity on a municipal level.

Keywords: census, geo-demography, households, the Czech Republic

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Authors: S. A. Salau, I. F. Ayanda, I. Afe, M. O. Adesina, N. B. Nofiu

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Food insecurity is still a critical challenge among rural and urban households in Nigeria. The country’s food insecurity situation became more pronounced due to frequent conflict between pastoralist and crop farmers. Thus, this study assesses pastoralist-crop farmers’ conflict and food security of farming households in Kwara state, Nigeria. The specific objectives are to measure the food security status of the respondents, quantify pastoralist- crop farmers’ conflict, determine the effect of pastoralist- crop farmers conflict on food security and describe the effective coping strategies adopted by the respondents to reduce the effect of food insecurity. A combination of purposive and simple random sampling techniques will be used to select 250 farming households for the study. The analytical tools include descriptive statistics, Likert-scale, logistic regression, and food security index. Using the food security index approach, the percentage of households that were food secure and insecure will be known. Pastoralist- crop farmers’ conflict will be measured empirically by quantifying loses due to the conflict. The logistic regression will indicate if pastoralist- crop farmers’ conflict is a critical determinant of food security among farming households in the study area. The coping strategies employed by the respondents in cushioning the effects of food insecurity will also be revealed. Empirical studies on the effect of pastoralist- crop farmers’ conflict on food security are rare in the literature. This study will quantify conflict and reveal the direction as well as the extent of the relationship between conflict and food security. It could contribute to the identification and formulation of strategies for the minimization of conflict among pastoralist and crop farmers in an attempt to reduce food insecurity. Moreover, this study could serve as valuable reference material for future researches and open up new areas for further researches.

Keywords: agriculture, conflict, coping strategies, food security, logistic regression

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Authors: Fhumulani R. Ramukhwatho, Roelien du Plessis, Suzan H. H. Oelofse

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There are a growing number of scientific papers, journals and reports on household food waste, the reason being that food waste has become a significant global issue that is costing billions of Rands in resources. To reduce food waste in a sustainable manner, it requires an understanding of the generation of food waste. This paper assesses household food wastage in the City of Tshwane Metropolitan Municipality (CTMM). A total of 210 interviewed participants using face-to-face interviews based on a structured questionnaire and the actual weighing of households’ food wasted was quantified using a weighing kitchen scale. Fifty-nine percent of respondents agreed that they wasted food, while 41% thought they did not waste food at all. Households wasted an average total of 6 kg of food waste per week per household. The study concluded that households buy and prepare more food that ends up wasted.

Keywords: assessment, developing country, food waste, household

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Authors: Ayelet Gur

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Background: In recent years we are witnessing a welcome trend in which more children/persons with disabilities are living at home with their families and within their communities. This trend is related to various policy innovations as the UN Convention on the Rights of People with Disabilities that reflect a shift from the medical-institutional model to a human rights approach. We also witness the emergence of family centered approaches that perceive the family and not just the individual with the disability as a worthy target of policy planning, implementation and evaluation efforts. The current investigation aims to explore economic, psychological and social factors among households of families of children or adults with intellectual disabilities in Israel and to present policy recommendation. Methods: A national sample of 301 households was recruited through the education and employment settings of persons with intellectual disability. The main caregiver of the person with the disability (a parent) was interviewed. Measurements included the income and expense surveys; assets and debts questionnaire; the questionnaire on resources and stress; the social involvement questionnaire and Personal Wellbeing Index. Results: Findings indicate significant gaps in financial circumstances between households of families of children with intellectual disabilities and households of the general Israeli society. Households of families of children with intellectual disabilities report lower income and higher expenditures and loans than the general society. They experience difficulties in saving and coping with unexpected expenses. Caregivers (the parents) experience high stress, low social participation, low financial support from family, friend and non-governmental organizations and decreased well-being. They are highly dependent on social security allowances which constituted 40% of the household's income. Conclusions: Households' dependency on social security allowances may seem contradictory to the encouragement of persons with intellectual disabilities to favor independent living in light of the human rights approach to disability. New policy should aim at reducing caregivers' stress and enhance their social participation and support, with special emphasis on families of lower socio-economic status. Finally, there is a need to continue monitoring the economic and psycho-social needs of households of families of children with intellectual disabilities and other developmental disabilities.

Keywords: disability policy, family policy, intellectual and developmental disabilities, Israel, households study, parents of children with disabilities

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Authors: Dhiraj Neupane

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Decentralized policy and practices have largely concentrated on the transformation of decision-making authorities from central to local institutions (or people) in the developing world. Such policy and practices always aimed for the equitable and efficient management of resources in the line of poverty reduction. The transformation of forest decision-making autonomy has also glorified as the best forest management alternatives to maximize the forest benefits and improve the livelihood of local people living nearby the forests. However, social heterogeneity and poor decision-making capacity of local institutions (or people) pose a nexus while managing the resources and sharing the forest benefits among the user households despite the policy objectives. The situation is severe in the lowland of Nepal, where forest resources have higher economic potential and user households have heterogeneous socio-economic conditions. The study discovered that utilizing the power of decision-making autonomy, user households were putting low values of timber considering the equitable access of timber to all user households as it is the most valuable product of community forest. Being the society is heterogeneous by socio-economic conditions, households of better economic conditions were always taking higher amount of forest benefits. The low valuation of timber has negative consequences on equitable benefit sharing and poor support to livelihood improvement of user households. Moreover, low valuation has possibility to increase the local demands of timber and increase the human pressure on forests.

Keywords: decentralized forest policy, Nepal, poverty, social heterogeneity, Terai

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Authors: Kibret Berhanu Getinet

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Off-farm income diversification by farm rural households has gained the attention of researchers and policymakers due to the fact that agriculture failed to meet the needs of people in developing countries like Ethiopia. The objective of this study was to investigate income diversification strategies into off-farm activities among rural households in Hawassa Zuria Woreda, Sidama National Regional State, Ethiopia. The study used primary and secondary data sources for the primary data collection questionnaire employed as a data collection instrument. A multistage sampling technique was used to collect data from a total of 197 sample households from four kebeles of the study area. Descriptive statistics, as well as econometrics methods of data analysis, were employed. The descriptive statistics result indicates that the majority of sample rural households (68.53 %) have engaged in off-farm income diversification activities while the remaining 31.47% of households did not participate in the diversification in the study area. The choice of participants among the strategies indicates that 6.60% of respondents participated in off-farm wage employment, 30.46% participated in off-farm self-employment, and about 31.47% of them participated in both off-farm wage employment. The study revealed that the share of off-farm income in total annual earnings of households was about 48.457%, and thus, the off-farm diversification significantly contributes to the rural household income. Moreover, binary and multinomial logistic regression models were employed to identify factors that affect the participation and the choices of the off-farm income diversification strategies, respectively. The binary logit model result indicated that agro-ecological zone, education status of the households, available technical skills of the household, household saving, total livestock owned by the households, access to electricity, road access and being married of household head were significant and positively affected the chance of diversification in off-farm activities while the on-farm income of households is negatively affected the chance of diversification. Similarly, the multinomial logistic regression model estimate revealed that agroecological zone, on-farm income, available technical skills, household savings, and access to electricity are positively related and significantly influenced the household’s choice of employment into off-farm wage employment. The off-farm self-employment diversification choice is significantly influenced by on-farm income, available technical skills, household savings, total livestock owned, and access to electricity. Moreover, the result showed that the factors that affect the choice of farm households to engage in both off-farm wage and self-employment are ecological zone, education status, on-farm income, available technical skills, household own saving, market access, total livestock owned, access to electricity and road access. Thus, due attention should be given to addressing the demographic, socio-economic, and institutional constraints to strengthen off-farm income diversification strategies to improve the income of rural households.

Keywords: off-farm, incoem, diversification, logit model

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Authors: El Hadji Mamadou Sonko, Ndiogou Sankhare, Maïmouna Lo, Jean Birane Gning, Cheikh Diop

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In Senegal, access to water, hygiene, and sanitation in small island towns is a particular problem, which is still poorly understood by the public authorities and development aid actors. The main objective of this study carried out in the Municipality of Foundiougne is to contribute to the knowledge of the problems related to the supply of drinking water, access to sanitation, and hygiene in small island towns in Senegal. The methodology adopted consisted of a literature review and quantitative surveys of a sample of 100 households in the Municipality. Semi-structured interviews using interview guides and informal interviews were also conducted with mechanical and manual emptiers, municipal authorities, public toilet managers, and neighbourhood leaders. Direct observation with photography was also used. The results show that, with regard to access to drinking water, 35% of households have unimproved water services, 46% have a limited level of service, and 19% have a basic level of service. Regarding sanitation, 77% of households are considered to have access to basic sanitation services, compared to 23% with limited sanitation services. However, these figures hide the dysfunctions of the sanitation system. Indeed, manual emptying is practiced exclusively by 4% of households, while 17% of households combine it with mechanical emptying. In addition, domestic wastewater is mainly evacuated outside the sanitation facilities, and all the sludge extracted from the pits is discharged directly into the environment without treatment. As a matter of fact, the surveys showed that 52% of households do not have access to a basic level of hygiene-related to handwashing when leaving the toilet. These results show that there is real work to be done at the level of small urban centres if we want to achieve MDG 6.

Keywords: Foundiougne, Senegal, small island, small town, water-sanitation, hygiene

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Authors: B. Hamidu, A. Abdulhamid, S. Mohammed, S. Idi

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This study examined the household expenditure pattern on animal products in Bauchi metropolis. A cross-sectional data were collected from 157 households using systematic sampling technique. The data were analyzed using descriptive statistics, correlation and regression models. The results reveal that the mean age, mean household size, mean monthly income and mean total expenditure on animal products were found to be 39 years, 7 persons, N28,749 and N1,740 respectively. It was also found that household monthly income, number of children and educational level of the household heads (P<0.01) significantly influence the level of household expenditure on animal products. Similarly, income was found to be the most important factor determining the proportion of total expenditure on animal products (20.91%). Income elasticity was found to be 0.66 indicating that for every 1% increase in income, expenditure on animal products would increase by 0.66%. Furthermore, beef was found to be the most preferred (54.83%) and most regularly consumed (61.84%) animal products. However, it was discovered that the major constraints affecting the consumption of animal products were low-income level of the households (29.85%), high cost of animal products (15.82%) and increase in prices of necessities (15.82%). Therefore to improve household expenditure on animal products per capita real income of the households should be improved through creation of employment opportunities. Also stabilization of market prices of animal products and other foods items of necessities through increased production are recommended.

Keywords: animal products, economics, expenditure, households

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Authors: Vidya Pratap, Seena Biju, A. Keshavdev

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The ever-increasing quantity and variety of domestic solid waste pose a major challenge to both households as well as to municipal authorities. In keeping with the Indian Prime Minister’s mission of Swachh Bharat (Clean India), the local municipal administration distributed 2 buckets to each household in a residential colony in Manipal (an educational town in southern India). Households were instructed to segregate their waste into wet and dry waste and keep these buckets at their gate for daily collection. This paper captures the knowledge, attitude, and behavior of 145 households along with the challenges they face in segregating their wastes. Survey representatives self-administered a questionnaire based on 107 variables that gathered demographic details, attitude and behavior constructs, knowledge about waste segregation and method of disposal for organic, recyclable and hazardous wastes. The study used descriptive tools to explore the data. While 95% of the respondents preferred good segregation practices, only 86% of them exhibited such behavior. 88% of the families observed had members who were either graduates or post-graduates whereas only 37% of the families had women who were working. In both attitude and behavior, 63% of the households did not have working women. Also, among those who practiced segregation, 7% were observed to not practice segregation in spite of the lady member being at home (The authors of this study in no way intend to name women as responsible for waste segregation at home; this thought is based on the fact that while in conversation with households, all respondents opined that women lead this activity). The findings of the study are intended to add value to the existing perceptions of the municipality regarding citizen behavior towards policy implementation/improvement. India as a country faces roadblocks at many levels of policy implementation. The findings of this study are meant to contribute/clarify about the Clean India drive.

Keywords: attitude, behavior, knowledge, segregation of domestic waste

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Authors: Felicity Aphiwe Mkhongi, Walter Musakwa

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Smallholder crop production is a defining factor in achieving food security, particularly at the household level. However, the number of abandoned arable fields is increasing in communal areas of South Africa. While substantial efforts have been devoted to addressing food insecurity in the country, ownership of arable land has not been supplemented with sustainable food production for households. This paper analyses household food security in the context of deagrarianization in two villages, Ambros (Eastern Cape) and Maramanzhi (Limpopo). Semi-structured questionnaires were administered to acquire both qualitative and quantitative data from 106 heads of households. The IBM SPSS Statistics 28.0 computer program was applied to complete data analysis. From the findings of the study, it was evident that compared to arable fields, a greater proportion of households own home-gardens with an average size of 2100m in Ambros and 3400m in Maramanzhi village. The majority of arable fields were abandoned, particularly in Ambros village. Household food access challenges were measured using the Household Food Insecurity Access Scale (HFIAS). This food security indicator revealed that the majority of households were mildly food insecure owing to food shortages emanating from insufficient monthly income and waning household crop production. Food was rated as a very important reason for engaging in cultivation in both villages of the study, but deagrarianization has eroded opportunities for increasing household crop production. Among other possible solutions, this study recommends that the government invest more in agriculture to allow for sustainable strategies that revive abandoned arable land, such as arable fields in communal areas of South Africa, as this could increase food production for households.

Keywords: cultivation, deagrarianization, food security, rural households, smallholder farmers

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Authors: Nazia Jabeen, Denis Hyams-Ssekasi

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The study focuses on the determinants of food waste management (FWM) in one of the urban areas of Pakistan. One hundred and two households from the urban areas of Pakistan took part in the study via self-completed questionnaires, and data were analyzed. The research findings indicate that food waste management is a recurring issue, and households must do more to minimize or create business opportunities. Most households agree that food waste has significant implications for the community if not utilized and managed correctly. The value creation deriving from this zero-value resource provides a platform where householders see the benefit of food waste management. Based on the findings, this study acknowledges that food waste has significant economic and social impacts on the community. It concludes that minimization and optimum utilization of food waste create a pathway to business opportunities in urban areas.

Keywords: economic, social, food waste management, business opportunities, value creation

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Authors: A. J. Netshipale, M. L. Mashiloane, S. J. Oosting, I. J. M. De Boer, E. N. Raidimi

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Three tier land reform programme (land restitution, land redistribution and land tenure reform) had been implemented for the past two decades in South Africa with an aim of redressing the unjust land ownership patterns of the past. Land restitution and redistribution seeked to make land available for beneficiaries’ ownership based on policy guidelines. Attention given to the two sub-programmes was mostly land reform focused with the quantity of land that exchanged ownership being used as a measure of success with disregard for how the land is used by the beneficiaries for their livelihoods. In few cases that the land use assessment was done for the two sub-programmes it was assessed on a case basis or few selected cases. The current study intended to shed light on a broader scope. This study investigated the extent to which land reform farms were used and contribution made by farms to the livelihoods of active beneficiaries. Seventy six farms that represented restitution (16 farms) and redistribution (60) programmes were selected for land use investigation. Land use data were collected from farm representatives by means of semi-structured questionnaire. A stratified sample of 87 households (38 for restitution and 49 for redistribution) were selected for livelihood investigations. Data on income generating activities and passive income sources were collected from household heads using semi-structured questionnaire. Additional data were collected through focus group discussions and from stakeholders through key-informants interviews. Livestock production used more land per farm on average (45%) in relation to the amount of average total land used per farm of 77% under land redistribution programme. Land restitution transformed crop farms into mixed farming and unused farms to be under use while land redistribution converted conservation land into agricultural land and also unused farms to be used. Livestock production contributed on average 25% to the livelihoods of 48% of the households whereas crop production contributed 31% on average to the livelihoods of 67% of the households. Government grants had the highest contribution of 54% on average and contributed to most households (72%). Agriculture was the sole source of livelihoods to only three per cent of the households. Most households (40%) had a mix of three livelihoods sources as their livelihood strategy. It could be concluded that the use of reformed land would be mainly influenced by the agro-ecological conditions of the area and agriculture could not be the main source of livelihoods for households that benefited from land reform. Land reform policies which accommodate diverse livelihoods activities could contribute to sustainable livelihoods.

Keywords: active beneficiaries, households, land reform, land use, livelihoods

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Authors: Maria Anjelica P. Ancheta, Roberto S. Soriano, Erickson L. Llaguno

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The main purpose of this study is to examine whether there is a significant relationship between socio-economic class and household water supply demand, through determining or verifying the factors governing water use consumption patterns of households from a sampling from different socio-economic classes in Metro Manila, the national capital region of the Philippines. This study is also an opportunity to augment the lack of local academic literature due to the very few publications on urban household water demand after 1999. In over 600 Metro Manila households, a rapid survey was conducted on their average monthly water consumption and habits on household water usage. The questions in the rapid survey were based on an extensive review of literature on urban household water demand. Sample households were divided into socio-economic classes A-B and C-D. Cluster analysis, dummy coding and outlier tests were done to prepare the data for regression analysis. Subsequently, backward stepwise regression analysis was used in order to determine different statistical models to describe the determinants of water consumption. The key finding of this study is that the socio-economic class of a household in Metro Manila is a significant factor in water consumption. A-B households consume more water in contrast to C-D families based on the mean average water consumption for A-B and C-D households are 36.75 m3 and 18.92 m3, respectively. The most significant proxy factors of socio-economic class that were related to household water consumption were examined in order to suggest improvements in policy formulation and household water demand management.

Keywords: household water uses, socio-economic classes, urban planning, urban water demand management

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Authors: Adegoke A. Adeyelu, Adeola T. Adeyelu, S. D. Y. Alfred, O. O. Fasina

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This study examines the use of traditional medicines for the treatment of selected illnesses among crop-farming households in Edo State, Nigeria. A sample size of ninety (90) households were randomly selected for the study. Data were collected with a structured questionnaire alongside focus group discussions (FGD). Result shows that the mean age was 50 years old, the majority (76.7%) of the sampled farmers were below 60 years old. The majority (80.0%) of the farmers were married, about (92.2%) had formal education. It exposes that the majority of the respondents (76.7%) had household size of between 1-10 persons, about 55.6% had spent 11 years and above in crop farming. malaria (8th ), waist pains (7th ), farm injuries ( 6th ), cough (5th), acute headache(4th), skin infection (3rd), typhoid (2nd) and tuberculosis (1st ) were the most and least treated illness. Respondents (80%) had spent N10,000.00 ($27) and less on treatment of illnesses, 8.9% had spent N10,000.00-N20,000.0027 ($27-$55) 4.4% had spent between N20,100-N30,000.00 ($27-$83) while 6.7% had spent more than N30,100.00 ($83) on treatment of illnesses in the last one (1) year prior to the study. Age, years of farming, farm size, household size, level of income, cost of treatment, level of education, social network, and culture are some of the statistically significant factors influencing the utilization of traditional medicine. Farmers should be educated on methods of preventing illnesses, which is far cheaper than the curative.

Keywords: crop farming-households, selected illnesses, traditional medicines, Edo State

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Authors: Seyi Olalekan Olawuyi, Abbyssiania Mushunje

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The potential benefits of agricultural production to improve the welfare condition of smallholder farmers in developing countries is no more a news because it has been widely documented. Yet majority of these farming households suffer from shortfall in production output to meet both the consumption needs and market demand which adversely affects output market participation and by extension welfare condition. Therefore, this study investigated the impacts of output market participation on households’ welfare of cassava-based farmers in Oyo State, Nigeria. Multistage sampling technique was used to select 324 sample size used for this study. The findings from the data obtained and analyzed through composite score and crosstab analysis revealed that there is varying degree of output market participation among the farmers which also translate to the observed welfare profile differentials in the study area. The probit model analysis with respect to the selection equation identified gender of household head, household size, access to remittance, off-farm income and ownership of farmland as significant drivers of output market participation in the study area. Furthermore, the treatment effect model of the welfare equation and propensity score matching (PSM) technique were used as robust checks; and the findings attest to the fact that, complimentarily with other significant variables highlighted in this study, output market participation indeed has a significant impact on farming households’ welfare. As policy implication inferences, the study recommends female active inclusiveness and empowerment in farming activities, birth control strategies, secondary income smoothing activities and discouragement of land fragmentation habits, to boost productivity and output market participation, which by extension can significantly improve farming households’ welfare.

Keywords: Cassava market participation, households' welfare, propensity score matching, treatment effect model

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Authors: Kalandi Charan Pradhan

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In this study, we investigate does weather variation determine temporary labour migration using 210 sample households from six Semi-Arid Tropic (SAT) villages for the period of 2005-2014 in India. The study has made an attempt to examine how households use temporary labour migration as a coping mechanism to minimise the risk rather than maximize the utility of the households. The study employs panel Logit regression model to predict the probability of household having at least one temporary labour migrant. As per as econometrics result, it is found that along with demographic and socioeconomic factors; weather variation plays an important role to determine the decision of migration at household level. In order to capture the weather variation, the study uses mean crop yield deviation over the study periods. Based on the random effect logit regression result, the study found that there is a concave relationship between weather variation and decision of temporary labour migration. This argument supports the theory of New Economics of Labour Migration (NELM), which highlights the decision of labour migration not only maximise the households’ utility but it helps to minimise the risks.

Keywords: temporary migration, socioeconomic factors, weather variation, crop yield, logit estimation

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Authors: Wondmnew Derebe Yohannis

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The enhanced utilization of modern beehives holds significant potential to enhance the livelihoods of smallholder farmers who heavily rely on mixed crop-livestock farming for their income. Recognizing this, the distribution of improved beehives has been implemented across various regions in Ethiopia, including the Bugina district. However, the precise impact of these improved beehives on farmers' income has received limited attention. To address this gap, this study aims to assess the influence of adopting upgraded beehives on rural households' income and asset accumulation. To conduct this research, survey data was gathered from a sample of 350 households selected through random sampling. The collected data was then analyzed using an econometric stochastic frontier model (ESRM) approach. The findings reveal that the adoption of improved beehives has resulted in higher annual income and asset growth for beekeepers. On average, those who adopted the improved beehives earned approximately 6,077 Ethiopian Birr (ETB) more than their counterparts who did not adopt these beehives. However, it is worth noting that the impact of adoption would have been even greater for non-adopters, as evidenced by the negative transitional heterogeneity effect of 1792 ETB. Furthermore, the analysis indicates that the decision to adopt or not adopt improved beehives was driven by individual self-selection. The adoption of improved beehives also led to an increase in fixed assets for households, establishing it as a viable strategy for poverty reduction. Overall, this study underscores the positive effect of adopting improved beehives on rural households' income and asset holdings, showcasing its potential to uplift smallholder farmers and serve as an alternative mechanism for reducing poverty.

Keywords: impact, adoption, endogenous switching regression, income, improved beehives

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Authors: M. A. Ojo, E. O. Ogbole, A. O. Ojo

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This study analysed improved household solid waste management system in Minna metropolis, Niger state. Multi-staged sampling technique was used to administer 155 questionnaires to respondents, where Minna was divided into two income groups A and B based on the quality of the respondent’s houses. Primary data was collected with the aid of structured questionnaires and analysed using descriptive statistics to obtain results for the socioeconomic characteristics of respondents, types of waste generated and methods of disposing solid waste, the level of awareness and reliability of waste disposal methods as well as the willingness of households to pay for solid waste management in the area. The results revealed that majority of the household heads in the study area were male, 94.20% of the household heads fell between the ages of 21 and 50 and also that 96.80% of them had one form of formal education or the other. The results also revealed that 47.10% and 43.20% of the households generated food wastes and polymers respectively as a major constituent of waste disposed. The results of this study went further to reveal that 81.90% of the household heads were aware of the use of collection cans as a method of waste disposal while only 32.90% of them considered the method highly reliable. Multiple regression was used to determine the factors affecting the willingness of households to pay for waste disposal in the study area. The results showed that 76.10% of the respondents were willing to pay for solid waste management which indicates that households in Minna are concerned and willing to cater for their immediate environment. The multiple regression results revealed that age, income, environmental awareness and household expenditure have a positive and statistically significant relationship with the willingness of households to pay for waste disposal in the area while household size has a negative and statistically significant relationship with households’ willingness to pay. Based on these findings, it was recommended that more waste management services be made readily available to residents of Minna, waste collection service should be privatised to increase their effectiveness through increased competition and also that community participatory approach be used to create more environmental awareness amongst residents.

Keywords: household, solid waste, management, WTP

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Authors: Shamima Akhter, Siegfried Bauer

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The aim of this study is to analyze the migration process of the rural population of Bangladesh. Heckman Probit model with sample selection was applied in this paper to explore the determinants of migration and intensity of migration at farm household level. The farm survey was conducted in the central part of Bangladesh on 160 farm households with migrant and on 154 farm households without migrant including a total of 316 farm households. The results from the applied model revealed that main determinants of migration at farm household level are household age, economically active males and females, number of young and old dependent members in the household and agricultural land holding. On the other hand, the main determinants of intensity of migration are availability of economically adult male in the household, number of young dependents and agricultural land holding.

Keywords: determinants, Heckman Probit model, migration, rural-urban

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Authors: Wondmnew Derebe

Abstract:

Increased adoption of modern beehives improves the livelihood of smallholder farmers whose income largely depends on mixed crop-livestock farming. Improved beehives have been disseminated to farmers in many parts of Ethiopia. However, its impact on income is less investigated. Thus, this study estimates how adopting improved beehives impacts rural households' income. Survey data were collected from 350 randomly selected households' and analyzed using an endogenous switching regression model. The result revealed that the adoption of improved beehives is associated with a higher annual income. On average, improved beehive adopters earned about 6,077 (ETB) more money than their counterparts. However, the impact of adoption would have been larger for actual non-adopters, as reflected in the negative transitional heterogeneity effect of 1792 (ETB). The result also indicated that the decision to adopt or not to adopt improved beehives was subjected to individual self-selection. Improved beehive adoption can increase farmers' income and can be used as an alternative poverty reduction strategy.

Keywords: impact, adoption, endogenous switching regression, income, improved

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Authors: Olorunsanya E. O., Adedeji S. O., Anyanwu A. A.

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Food insecurity is a challenge to many nations Nigeria inclusive. It is increasingly becoming a major problem among farm households due to many factors chief of which is low labour productivity. This study therefore profiles the food security status of a representative randomly selected 90 farming households in Chanchaga area of Nigeria’s Guinea Savana using structured interview schedule Descriptive and inferential statistics were used as analytical tools for the study. The results of the descriptive statistics show that majority (35.56%) of the surveyed household heads fall within the age range of 40 – 49 years and (88.89%) are male while (78.89) are married. More than half of the respondents have formal education. About 43.3% of the household heads have farm experience of 11- 20 years and a modal household size class range of 7 – 12. The results further reveal that majority (68.8%) earned more than N12, 500 (22.73 US Dollar) per month. The result of households’ food expenditure pattern reveals that an average household spends about N3, 644.44 (6.63 US Dollar) on food and food items on a weekly basis. The result of the analysis of food diversity intake in the study area shows that 63.33% of the sampled households fell under the low household food diversity intake, while 33 households, representing 36.67% ranks high in term of household food diversity intake. The result for the food security status shows that the sampled population was food secure (58.89%) while 41.11% falls below the recommended threshold. The result for the logistics regression model shows that age, engagement in off farm employment and household size are significant in determining the food security status of farm household in the study area. The three variables were significant at 10%, 5% and 1% respectively. The study therefore recommends among others, that measures be put in place by stakeholders to make agriculture attractive for youth since age is a significant determinant of food security in the study area. Awareness should also be created by stakeholders on the needs for effective family planning methods to be adopted by farm household in the study area.

Keywords: Niger State, Guinea Savana, food diversity, logit regression model and food security

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Authors: Tamunotonye Mayowa Braide, Isaac Oluwatayo

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This study investigates multidimensional poverty, and its correlates among rural households in Sekhukhune and Capricorn District municipalities (SDM & CDM) in Limpopo Province, South Africa. Primary data were collected from 407 rural households selected through purposive and simple random sampling techniques. Analytical techniques employed include descriptive statistics, principal component analysis (PCA), and the Alkire Foster (A-F) methodology. The results of the descriptive statistics showed there are more females (66%) than males (34%) in rural areas of Limpopo Province, with about 45% of them having secondary school education as the highest educational level attained and only about 3% do not have formal education. In the analysis of deprivation, eight dimensions of deprivation, constructed from 21 variables, were identified using the PCA. These dimensions include type and condition of dwelling water and sanitation, educational attainment and income, type of fuel for cooking and heating, access to clothing and cell phone, assets and fuel for light, health condition, crowding, and child health. In identifying the poor with poverty cut-off (0.13) of all indicators, about 75.9% of the rural households are deprived in 25% of the total dimensions, with the adjusted headcount ratio (M0) being 0.19. Multidimensional poverty estimates showed higher estimates of poor rural households with 71%, compared to 29%, which fall below the income poverty line. The study conducted poverty decomposition, using sub-groups within the area by examining regions and household characteristics. In SDM, there are more multidimensionally poor households than in CDM. The water and sanitation dimension is the largest contributor to the multidimensional poverty index (MPI) in rural areas of Limpopo Province. The findings can, therefore, assist in better design of welfare policy and target poverty alleviation programs and as well help in efficient resource allocation at the provincial and local municipality levels.

Keywords: Alkire-Foster methodology, Limpopo province, multidimensional poverty, principal component analysis, South Africa

Procedia PDF Downloads 134

Authors: Taehyun Kim

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As a result of rapid urbanization, energy demands for lighting, heating and cooling of households have been concentrated in metropolitan areas. The energy resources for housing in urban areas are dominantly fossil fuel whose uses contribute to increase cost of living and carbon dioxide (CO2) emission. To achieve environmentally and economically sustainable residential development, it is important to know how energy use and cost of living can be reduced by planning and design. The purpose of this study is to examine which type of building requires less energy for housing. To do so, carbon footprint (CF) quiz survey was employed which estimates the amount of carbon dioxide required to support households’ consumption of energy uses for housing. The housing carbon footprints (HCF) of 500 households of Seoul, Korea in summer and winter were estimated and compared in three major types of housing: single-family (detached), row-house and apartment. In addition, its differences of HCF were estimated between tower and flat type of apartment. The results of T-test and analysis of variance (ANOVA) provide statistical evidence that housing type is related to housing energy use. Average HCF of detached house was higher than other housing types. Between two types of apartment, tower type shows higher HCF than flat type in winter. These findings may provide new perspectives on CF application in sustainable architecture and urban design.

Keywords: analysis of variance, carbon footprint, energy use, housing type

Procedia PDF Downloads 464