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Search results for: household income

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text-center" style="font-size:1.6rem;">Search results for: household income</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2405</span> Effect of Cap and Trade Policies for Carbon Emission Reduction on Delhi Households</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vikram%20Singh">Vikram Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to take into account carbon tax or cap-and-trade legislation to manage Delhi carbon emissions after a post-Kyoto treaty. This report estimated the influence of the carbon taxes or rebate/compensation cost at the household level. Here, the three possible scenarios will help to comprehend the difference between a straightforward compensation/rebate, and two clearly denoting progressive formula. The straightforward compensation is basically minimizing the regressive applications that will bears on cost. On the other hand, both the progressive formula will generate extra revenue, which will help for feasibility of more efficient, vehicles, appliances and buildings in the low-income household. For the hypothetical case of carbon price $40/tonne, low-income household for both urban and rural region could experience price burden up to 5% and 9% on their income as compared to 3% and 7% for high-income household respectively. The survey report also shown that carbon emission due low-income household are primarily by the substantive requirement like housing and transportation whereas almost 40% emission due to high-income household are by luxurious and non-essential items. The equal distribution of revenue cum incentives will not completely overcome high-income household’s investment in inessential items. However, it will merely help in investing their income in energy efficient and less carbon intensive items. Therefore, the rebate distribution on per capita basis instead on per households will benefit more especially large families at low-income group. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=household%20emission" title="household emission">household emission</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20credit" title=" carbon credit"> carbon credit</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20intensity" title=" carbon intensity"> carbon intensity</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20house%20gas%20emission" title=" green house gas emission"> green house gas emission</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20generation%20based%20insentives" title=" carbon generation based insentives"> carbon generation based insentives</a> </p> <a href="https://publications.waset.org/abstracts/1434/effect-of-cap-and-trade-policies-for-carbon-emission-reduction-on-delhi-households" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1434.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">435</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2404</span> Contribution of Income Diversification to Total Rural Households Income in the Upper East Region, Ghana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yakubu%20Abdulai">Yakubu Abdulai</a>, <a href="https://publications.waset.org/abstracts/search?q=Kenichi%20Matsui"> Kenichi Matsui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 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. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=income%20diversification" title="income diversification">income diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=poverty%20alleviation" title=" poverty alleviation"> poverty alleviation</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20households" title=" rural households"> rural households</a>, <a href="https://publications.waset.org/abstracts/search?q=upper%20east%20region" title=" upper east region"> upper east region</a> </p> <a href="https://publications.waset.org/abstracts/158048/contribution-of-income-diversification-to-total-rural-households-income-in-the-upper-east-region-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158048.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2403</span> Economics of Household Expenditure Pattern on Animal Products in Bauchi Metropolis, Bauchi State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Hamidu">B. Hamidu</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Abdulhamid"> A. Abdulhamid</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Mohammed"> S. Mohammed</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Idi"> S. Idi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 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. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=animal%20products" title="animal products">animal products</a>, <a href="https://publications.waset.org/abstracts/search?q=economics" title=" economics"> economics</a>, <a href="https://publications.waset.org/abstracts/search?q=expenditure" title=" expenditure"> expenditure</a>, <a href="https://publications.waset.org/abstracts/search?q=households" title=" households"> households</a> </p> <a href="https://publications.waset.org/abstracts/45699/economics-of-household-expenditure-pattern-on-animal-products-in-bauchi-metropolis-bauchi-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45699.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">245</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2402</span> Domestic Remittances, Household Enterprises, and Household Well-being in Ghana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdul-Majeed%20Imoro">Abdul-Majeed Imoro</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates the interactive effect of domestic remittances and household enterprises on household well-being in Ghana. The study employs data drawn from the seventh wave of the Ghana Living Standard Survey (GLSS 7) comprising 14,009 households located in 1,000 enumeration areas for the 2016/2017 period. This study employs the Ordinary Least Square (OLS) regression technique in estimating the interactive effect of domestic remittances and household enterprises on household well-being. The Linear Probability Model (LPM) is used to estimate the impact of domestic remittances on household enterprises. A Two-Stage Least Square (2SLS) model is employed to solve endogeneity issues between the dependent variable and the explanatory variable. This study reveals the following findings: domestic remittances improve household well-being significantly. Also, there is a significant negative impact of domestic remittances on household enterprises. This implies that households that receive domestic remittances are less likely to engage in household enterprises. Finally, the 2SLS results show a significant and positive impact of the interaction between domestic remittances and household enterprises on household well-being. This study provides empirical evidence of why policymakers need to encourage households that receive domestic remittances to diversify their income sources and invest in other income-generating activities such as household enterprises. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=domestic%20remittances" title="domestic remittances">domestic remittances</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20enterprises" title=" household enterprises"> household enterprises</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20well-being" title=" household well-being"> household well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghana" title=" Ghana"> Ghana</a> </p> <a href="https://publications.waset.org/abstracts/191629/domestic-remittances-household-enterprises-and-household-well-being-in-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">21</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2401</span> Income Diversification of Small Holder Farmers in Bosso Local Government Area of Niger State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oladipo%20Joseph%20Ajayi">Oladipo Joseph Ajayi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yakubu%20Muhammed"> Yakubu Muhammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Caleb%20Galadima"> Caleb Galadima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was conducted to examine the income diversification of smallholder farmers in Bosso Local Government area of Niger state, Nigeria. The specific objectives were to examine the socio-economic characteristics of the farmers, identify the sources of income among the farmers, determine the pattern of income diversification and evaluate the determinants of income diversification of farmers in the study area. A multi-stage sampling technique was used to select 94 respondents for the study. Primary data were used, and these were collected with aid of a well structured interview schedule. Descriptive statistics, diversity index, and Tobit regression model were employed to analyze the data. The mean age of the farmers was 44 years. The average household size was 8 members per household, and the average farming experience was 12 years. 21.27 percent did not have formal education. It was further found that 69.1 percent of the respondents had an income diversity index of 0.3-0.4. This indicated that their level of income diversification was moderately low. The determinants of income diversification in the study area were education, household size, marital status, and primary income. These variables were positively related to income diversification. The study revealed that diversification into various income sources has helped to increase household income to sustain the family demands even though their level of income diversification was low within the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diversification" title="diversification">diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=households" title=" households"> households</a>, <a href="https://publications.waset.org/abstracts/search?q=smallholder%20farmers" title=" smallholder farmers"> smallholder farmers</a> </p> <a href="https://publications.waset.org/abstracts/87504/income-diversification-of-small-holder-farmers-in-bosso-local-government-area-of-niger-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87504.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">250</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2400</span> Contribution of Home Gardens to Rural Household Income in Raymond Mhlaba Local Municipality, Eastern Cape Province, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Alaka">K. Alaka</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Obi"> A. Obi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Home garden has proved to be significant to rural inhabitants by providing a wide range of useful products such as fruits, vegetables and medicine. There is need for quantitative information on its benefits and contributions to rural household. The main objective of this study is to investigate contributions of home garden to income of rural households in Raymond Mhlaba Local Municipality, formerly Nkonkobe Local Municipality of Eastern Cape Province South Africa. The stratified random sampling method was applied in order to choose a sample of 160 households.The study was conducted among 80 households engaging in home gardens and 80 non- participating households in the study area. Data analysis employed descriptive statistics with the use of frequency table and one way sample T test to show actual contributions. The overall model shows that social grant has the highest contribution to total household income for both categories while income generated from home garden has the second largest share to total household income, this shows that the majority of rural households in the study area rely on social grant as their source of income. However, since most households are net food buyers, it is essential to have policies that are formulated with an understanding that household food security is not only a function of the food that farming households produce for their own consumption but more so a function of total household income. The results produced sufficient evidence that home gardens contribute significantly to income of rural household. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=food%20security" title="food security">food security</a>, <a href="https://publications.waset.org/abstracts/search?q=home%20gardening" title=" home gardening"> home gardening</a>, <a href="https://publications.waset.org/abstracts/search?q=household" title=" household"> household</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a> </p> <a href="https://publications.waset.org/abstracts/95570/contribution-of-home-gardens-to-rural-household-income-in-raymond-mhlaba-local-municipality-eastern-cape-province-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95570.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">225</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2399</span> Determinants of Income Diversification among Support Zone Communities of National Parks in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Etim%20Jacob">Daniel Etim Jacob</a>, <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Onadeko"> Samuel Onadeko</a>, <a href="https://publications.waset.org/abstracts/search?q=Edem%20A.%20Eniang"> Edem A. Eniang</a>, <a href="https://publications.waset.org/abstracts/search?q=Imaobong%20Ufot%20Nelson"> Imaobong Ufot Nelson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examined determinants of income diversification among households in support zones communities of national parks in Nigeria. This involved the use household data collected through questionnaires administered randomly among 1009 household heads in the study area. The data obtained were analyzed using probability and non-probability statistical analysis such as regression and analysis of variance to test for mean difference between parks. The result obtained indicates that majority of the household heads were male (92.57%0, between the age class of 21 – 40 years (44.90%), had non-formal education (38.16%), were farmers (65.21%), owned land (95.44%), with a household size of 1 – 5 (36.67%) and an annual income range of ₦401,000 - ₦600,000 (24.58%). Mean Simpson index of diversity showed a general low (0.375) level of income diversification among the households. Income, age, off-farm dependence, education, household size and occupation where significant (p<0.01) factors that affected households’ income diversification. The study recommends improvement in the existing infrastructures and social capital in the communities as avenues to improve the livelihood and ensure positive conservation behaviors in the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=income%20diversification" title="income diversification">income diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=protected%20area" title=" protected area"> protected area</a>, <a href="https://publications.waset.org/abstracts/search?q=livelihood" title=" livelihood"> livelihood</a>, <a href="https://publications.waset.org/abstracts/search?q=poverty" title=" poverty"> poverty</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigeria" title=" Nigeria"> Nigeria</a> </p> <a href="https://publications.waset.org/abstracts/119450/determinants-of-income-diversification-among-support-zone-communities-of-national-parks-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119450.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2398</span> The Impact of Household Income on Students&#039; Financial Literacy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dorjana%20Nano">Dorjana Nano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Financial literacy has become on focus of many research studies. Family household is found to influence students’ financial literacy. The purpose of this study is to explore whether financial literacy of Albanian students is associated with their family household. The main objectives of this research are: i) firstly, to evaluate how financial literate are Albanian university students; ii) secondly, to examine whether the financial literacy differs based on the level of students family income; and iii) finally, to draw some conclusions and recommendations in order to improve student’s financial literacy. An instrument, comprised of personal finance and personal characteristics is administered to 637 students in Albania. The constituency of the survey is tested based on the dimension reduction and factor analyzing techniques. The One Way Welch ANOVA and multiple comparison techniques are utilized to analyze the data. The results indicate that student’s financial literacy is influenced by their family income. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=financial%20literacy" title="financial literacy">financial literacy</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20income" title=" household income"> household income</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20decisions" title=" smart decisions"> smart decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=university%20students" title=" university students"> university students</a> </p> <a href="https://publications.waset.org/abstracts/75077/the-impact-of-household-income-on-students-financial-literacy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75077.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">272</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2397</span> Dual Role of Women and Its Influence on Farmers’ Household Income and Consumption Pattern: Study of Informal Women Workers in the District Mandalle, Pangkep, South Sulawesi Province</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ida%20Rosada">Ida Rosada</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurliani"> Nurliani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today, the number of women who seek additional income to help her husband is increasing. They do that in order to be able to express themselves in the midst of the family and society. Nonetheless, housewives are in charge of managing family&rsquo;s income and prepare food for the family. The objective of this research is 1) to analyze the effect of the dual role of women to household income and 2) to analyze the effect of the dual role to consumption patterns. The study used a qualitative approach, data collection techniques are through observation, interviews, and documentation on farming households. The data was analysed qualitative descriptively. The results found that: 1) The revenue contribution of women who play double role in the informal sector amounted to 34.07% (less than 50%). 2) The main reason that the respondents worked in the informal sector is to be able to send their children to school (34%) and to improve household economy condition (28%). 3) After earning additional income, respondents said that they can contribute to increase the family&rsquo;s income and to cover the family shortage (82%); 4) Respondents&rsquo; opinion to changes in food consumption after performing the dual role is the ability to purchase and provide the desired food (44%) and changing patterns of consumption per day (30%). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dual%20role" title="dual role">dual role</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20informal%20sector" title=" the informal sector"> the informal sector</a>, <a href="https://publications.waset.org/abstracts/search?q=consumption%20patterns" title=" consumption patterns"> consumption patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20income" title=" household income"> household income</a> </p> <a href="https://publications.waset.org/abstracts/56492/dual-role-of-women-and-its-influence-on-farmers-household-income-and-consumption-pattern-study-of-informal-women-workers-in-the-district-mandalle-pangkep-south-sulawesi-province" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56492.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">264</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2396</span> Impact of the Government Ghana Block Farm Program on Rural Households in Northern Ghana </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Antwi%20Kwaku%20Dei">Antwi Kwaku Dei</a>, <a href="https://publications.waset.org/abstracts/search?q=Lyford%20Conrad%20Power"> Lyford Conrad Power</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates the outcome of participating in the government of Ghana block farm program on rural households’ farm productivity, income, food security and nutritional status in Northern Ghana using cross-sectional data. Data analysis was done using the Instrumental Variable and the Heckman Selection Bias procedures. Our analysis indicates that participation in the block farm program significantly increased directly the productivity of maize, rice, and soybean by 21.3 percent, 15.8 percent, and 12.3 percent respectively. Also, the program participation was found to increase households’ farm income by 20 percent in northern Ghana. Furthermore, program participation was found to improve household food security and nutrition by 19 percent and 14 percent respectively through income effect. Based on the benefit-cost ratio of 1.59 the results from the study recommends that the program is expanded to other communities in the northern region. Further analysis indicates that rural households’ decision to participate in food security intervention programs is significantly influenced by factors including the gender of the household head, the age of the household head, and household size. Results of the study further show that gender of household head, household size, household monthly income, household assets, women educational status, the age of women, marital status of women, are significant determinants of food security and nutrition status in Northern Ghana. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=block%20farm%20program" title="block farm program">block farm program</a>, <a href="https://publications.waset.org/abstracts/search?q=farm%20productivity" title=" farm productivity"> farm productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=" title=""></a>, <a href="https://publications.waset.org/abstracts/search?q=household%20food%20security" title=" household food security"> household food security</a>, <a href="https://publications.waset.org/abstracts/search?q=Northern%20Ghana" title=" Northern Ghana"> Northern Ghana</a> </p> <a href="https://publications.waset.org/abstracts/82027/impact-of-the-government-ghana-block-farm-program-on-rural-households-in-northern-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82027.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">281</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2395</span> Economic Cost of Malaria: A Threat to Household Income in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nsikan%20Affiah">Nsikan Affiah</a>, <a href="https://publications.waset.org/abstracts/search?q=Kayode%20Osungbade"> Kayode Osungbade</a>, <a href="https://publications.waset.org/abstracts/search?q=Williams%20%20Uzoma"> Williams Uzoma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Malaria remains one of the major killers of humans worldwide, threatening the lives of more than one-third of the world’s population. Some people refers it to; a disease of poverty because it contributes towards national poverty through its impact on foreign direct investment, tourism, labour productivity, and trade. At the micro level, it may cause poverty through spending on health care, income losses, and premature deaths. Unfortunately, malaria is a disease that affects both low-income household and its high-income counterpart, but low-income households are still at greater risk because significant part of the available monthly income is dedicated to various preventive and treatment measures. The objective of this study is to estimate direct and indirect cost of malaria treatment in households in a section of South-South Region (Akwa Ibom State) of Nigeria. A cross-sectional study of Six Hundred and Forty (640) heads of households or any adult representative of households in three local government areas of Akwa Ibom State, Nigeria from May 1-31, 2015 were ascertained through interviewer-administered questionnaire adapted from Nigerian Malaria Indicator Survey Report. The clustering technique was used to select 640 households with the help of Primary Health Care (PHC) house numbering system. Using exchange rate of 197 Naira/USD, result shows that direct cost of malaria treatment was 8,894.44 USD while the indirect cost of malaria treatment was 11,012.81 USD. Total cost of treatment made up of 44.7% direct cost and 55.3% indirect cost, with average direct cost of malaria treatment per household estimated at 20.6 USD and the average indirect cost of treatment per household estimated at 25.1 USD. Average total cost for each episode (888) of malaria was estimated at 22.4 USD. While at household level, the average total cost was estimated at 45.5 USD. From the average total cost, low-income households would spend 36% of monthly household income on treating malaria and the impact could be said to be catastrophic, compared to high-income households where only 1.2% of monthly household income is spent on malaria treatment. It could be concluded that the cost of malaria treatment is well beyond the means of households and given the reality of repeated bouts of malaria and its contribution to the impoverishment of households, there is a need for urgent action. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=direct%20cost" title="direct cost">direct cost</a>, <a href="https://publications.waset.org/abstracts/search?q=indirect%20cost" title=" indirect cost"> indirect cost</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20income%20households" title=" low income households"> low income households</a>, <a href="https://publications.waset.org/abstracts/search?q=malaria" title=" malaria"> malaria</a> </p> <a href="https://publications.waset.org/abstracts/52436/economic-cost-of-malaria-a-threat-to-household-income-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52436.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2394</span> Poverty Status and Determinants of Income Diversification among Rural Households of Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saba%20Javed">Saba Javed</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Majeed%20Nadeem"> Abdul Majeed Nadeem</a>, <a href="https://publications.waset.org/abstracts/search?q=Imran%20Qaiser"> Imran Qaiser</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Asif%20Kamran"> Muhammad Asif Kamran</a>, <a href="https://publications.waset.org/abstracts/search?q=Azka%20Amin"> Azka Amin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study is designed to determine the poverty status and determinants of income diversification in rural areas of Pakistan using cross sectional data of Pakistan Social and Living Standards Measurement (PSLM) for 2010-2011. The variables used for measuring income diversification are demographic indicators, poverty status, and income of households. Foster-Greer-Thorbecke (FGT) poverty measures show that 43.1% poor and 56.9% non-poor resided in rural areas of Pakistan. A Tobit model was employed to examine the determinants of livelihood diversification among households. The result showed that age, gender, marital status, household size and province have significant impact on income diversification. The data show that non-poor and female headed household with higher family size diversify more as compared to poor, male headed household with small size of family members. The place of residence (province used as proxy for place) also plays important role for income diversification as Sindh Province was found more diversified as compared to Punjab and Khyber Pakhtoon Kha (KPK). It is recommended to improve the ways of income diversification among rural household to reduce poverty among them. This can be done by more investment in education with universal access for poor and remote localities households. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=poverty" title="poverty">poverty</a>, <a href="https://publications.waset.org/abstracts/search?q=income%20diversification" title=" income diversification"> income diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20Pakistan" title=" rural Pakistan"> rural Pakistan</a>, <a href="https://publications.waset.org/abstracts/search?q=Tobit%20regression%20model" title=" Tobit regression model"> Tobit regression model</a>, <a href="https://publications.waset.org/abstracts/search?q=FGT" title=" FGT "> FGT </a> </p> <a href="https://publications.waset.org/abstracts/12533/poverty-status-and-determinants-of-income-diversification-among-rural-households-of-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12533.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">354</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2393</span> Investigating the Factors Affecting the Household Accounting of People in Bangkeaw Samutsongkhram</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khajeerat%20Phumpurk">Khajeerat Phumpurk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research aims to study the knowledge, attitude toward household accounting of people in Bangkeaw Samutsongkhram. The sample use in this study was the people in tambol bangkeao Mueang Samut songkhram province. The Sample size for 100 household by using the accidental sampling and data collection was a questionnaire. Statistical analysis for frequency, percentage, mean, minimum, maximum value and standard deviation. It was found that the most of the respondent are farmers for 63.4. Most of them are male, with average of age 49.54 years. The education is vocational. The average household income is 60,873.74 per year. The respondent has the debt with the bank for 64.4 percent. The greatest influence to do the household accounting of farmers is the bank expertise. All the advice about doing household accounts get it from the staff of the bank for agriculture and agricultural cooperatives. The farmers for 57.3 do household accounting during the night time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bangkeaw%20Samutsongkhram" title="Bangkeaw Samutsongkhram">Bangkeaw Samutsongkhram</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20accounting" title=" household accounting"> household accounting</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge" title=" knowledge"> knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=sufficiency%20economy" title=" sufficiency economy"> sufficiency economy</a> </p> <a href="https://publications.waset.org/abstracts/62876/investigating-the-factors-affecting-the-household-accounting-of-people-in-bangkeaw-samutsongkhram" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62876.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">224</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2392</span> Towards Islamic Sustainable Consumption: Micro Evidence from Muslim Household in Malaysia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noorhaslinda%20Kulub%20Abd.%20Rashid">Noorhaslinda Kulub Abd. Rashid</a>, <a href="https://publications.waset.org/abstracts/search?q=Zuraini%20Anang"> Zuraini Anang</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayu%20Taufiq%20Possumah"> Bayu Taufiq Possumah</a>, <a href="https://publications.waset.org/abstracts/search?q=Suriyani%20Muhamad"> Suriyani Muhamad</a>, <a href="https://publications.waset.org/abstracts/search?q=Fauziah%20Abu%20Hasan"> Fauziah Abu Hasan</a>, <a href="https://publications.waset.org/abstracts/search?q=Hairunnizam%20Wahid"> Hairunnizam Wahid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reality of Malaysian lives today, especially the households, are not exempted from using a variety of good products and services that are particularly materialistic. In fact, the pace and sophistication of the technology is seen as a major catalyst to the pattern of community life. In facing the challenges of the current economy, the key role to be played by household is managing the pattern of expenditure, income and loan debts regularly and blessed by Allah. Unfortunately, the world today is witnessing the average household could owe solely to meet their needs with existing spending limits. This study aims to measure the ‘Religious Index of Household Expenditure’ (IKM) and analyze how far the religious influence to the pattern of household expenditure based on the 441 Muslim households. The results showed only a 5-item spending, food, housing, transportation, education, and recreation and entertainment that has a significant relationship with IKM. Therefore, Islamic consumer education is a must to establish sustainable consumptions in order to speed up the internalization of sustainable lifestyle among Malaysians. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=%E2%80%98Religious%20Index%20of%20Household%20Expenditure%E2%80%99%20%28IKM%29" title="‘Religious Index of Household Expenditure’ (IKM)">‘Religious Index of Household Expenditure’ (IKM)</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20consumptions" title=" sustainable consumptions"> sustainable consumptions</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20expenditure" title=" household expenditure"> household expenditure</a> </p> <a href="https://publications.waset.org/abstracts/57893/towards-islamic-sustainable-consumption-micro-evidence-from-muslim-household-in-malaysia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57893.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2391</span> Perceived Effect of Livelihood Diversification on the Welfare of Rural Households in Niger State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oladipo%20Joseph%20Ajayi">Oladipo Joseph Ajayi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yakubu%20Muhammed"> Yakubu Muhammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Raufu%20Olusola%20Sanusi"> Raufu Olusola Sanusi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study determined the perceived effect of livelihood diversification on welfare of rural household in Niger state, Nigeria. Multi-stage sampling technique was adopted for sampling the respondents. Data used for the study were obtained from primary source. Structured questionnaire with interview schedule was administered to 180 randomly selected rural farmers in the study area. Descriptive statistics analysis and z-test statistics were used to analyse the data collected. The study revealed the mean age of the household to be 43 years, mean years of schooling was 8.5, mean household size was 6 people, mean farming experience of 17.5 years and mean farm size of 1.8 hectares. The effect of livelihood diversification revealed that livelihood diversification had positive and significant effect on food security (65.6%) and income generation (66.8%) in the study area. The major constraints to diversification in the study area were poor infrastructure, unavailability of credit and climatic risk and uncertainty. The study, therefore, recommended that rural household should be sensitised to diversify their income source into non-farm activities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=income" title="income">income</a>, <a href="https://publications.waset.org/abstracts/search?q=livelihood%20diversification" title=" livelihood diversification "> livelihood diversification </a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20household" title=" rural household"> rural household</a>, <a href="https://publications.waset.org/abstracts/search?q=welfare" title=" welfare"> welfare</a> </p> <a href="https://publications.waset.org/abstracts/56111/perceived-effect-of-livelihood-diversification-on-the-welfare-of-rural-households-in-niger-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56111.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2390</span> The Critical Relevance of Credit and Debt Data in Household Food Security Analysis: The Risks of Ineffective Response Actions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siddharth%20Krishnaswamy">Siddharth Krishnaswamy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Problem Statement: Currently, when analyzing household food security, the most commonly studied food access indicators are household income and expenditure. Larger studies do take into account other indices such as credit and employment. But these are baselines studies and by definition are conducted infrequently. Food security analysis for access is usually dedicated to analyzing income and expenditure indicators. And both these indicators are notoriously inconsistent. Yet this data can very often end up being the basis on which household food access is calculated; and by extension, be used for decision making. Objectives: This paper argues that along with income and expenditure, credit and debit information should be collected so that an accurate analysis of household food security (and in particular) food access can be determined. The lack of collection and analysis of this information routinely means that there is often a “masking” of the actual situation; a household’s food access and food availability patterns may be adequate mainly as a result of borrowing and may even be due to a long- term dependency (a debt cycle). In other words, such a household is, in reality, worse off than it appears a factor masked by its performance on basic access indicators. Procedures/methodologies/approaches: Existing food security data sets collected in 2005 in Azerbaijan, 2010 across Myanmar and 2014-15 across Uganda were used to support the theory that analyzing income and expenditure of a HHs and analyzing the same in addition to data on credit & borrowing patterns will result in an entirely different scenario of food access of the household. Furthermore, the data analyzed depicts food consumption patterns across groups of households and then relates this to the extent of dependency on credit, i.e. households borrowing money in order to meet food needs. Finally, response options that were based on analyzing only income and expenditure; and response options based on income, expenditure, credit, and borrowing – from the same geographical area of operation are studied and discussed. Results: The purpose of this work was to see if existing methods of household food security analysis could be improved. It is hoped that food security analysts will collect household level information on credit and debit and analyze them against income, expenditure and consumption patterns. This will help determine if a household’s food access and availability are dependent on unsustainable strategies such as borrowing money for food or undertaking sustained debts. Conclusions: The results clearly show the amount of relevant information that is missing in Food Access analysis if debit and borrowing of the household is not analyzed along with the typical Food Access indicators that are usually analyzed. And the serious repercussions this has on Programmatic response and interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analysis" title="analysis">analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20security%20indicators" title=" food security indicators"> food security indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=response" title=" response"> response</a>, <a href="https://publications.waset.org/abstracts/search?q=resilience%20analysis" title=" resilience analysis"> resilience analysis</a> </p> <a href="https://publications.waset.org/abstracts/43392/the-critical-relevance-of-credit-and-debt-data-in-household-food-security-analysis-the-risks-of-ineffective-response-actions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43392.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">331</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2389</span> Income Inequality and Its Effects on Household Livelihoods in Parker Paint Community, Liberia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Robertson%20Freeman">Robertson Freeman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The prime objective of this research is to examine income inequality and its effects on household livelihoods in Parker Paint. Many researchers failed to address the potential threat of income inequality on diverse household livelihood indicators, including health, food, housing, transport and many others. They examine and generalize the effects of income differentials on household livelihoods by addressing one indicator of livelihood security. This research fills the loopholes of previous research by examining the effects of income inequality and how it affects the livelihoods of households, taking into consideration livelihood indicators including health, food security, and transport. The researcher employed the mixed research method to analyze the distribution of income and solicit opinions of household heads on the effects of their monthly income on their livelihoods. Age and sex structure, household composition, type of employment and educational status influence income inequality. The level of income, Lorenz curve and the Gini coefficient was mutually employed to calculate and determine the level of income inequality. One hundred eighty-two representing 96% of household heads are employed while 8, representing 4%, are unemployed. However, out of a total number of 182 employed, representing 96%, 27 people representing 14%, are employed in the formal private sector, while 110, representing 58%, are employed in the private informal sector. Monthly average income, savings, investments and unexpected circumstances affect the livelihood of households. Infrastructural development and wellbeing should be pursued by reducing expenditure earmarked in other sectors and channeling the funds towards the provision of household needs. One of the potent tools for consolidating household livelihoods is to initiate livelihood empowerment programs. Government and private sector agencies should establish more health insurance schemes, providing mosquito nets, immunization services, public transport, as well as embarking on feeding programs, especially in the remote areas of Parker paint. To climax the research findings, self-employment, entrepreneurship and the general private sector employment is a transparent double-edged sword. If employed in the private sector, there is the likelihood to increase one’s income. However, this also induces the income gap between the rich and poor since many people are exploited by affluence, thereby relegating the poor from the wealth hierarchy. Age and sex structure, as well as type of employment, should not be overlooked since they all play fundamental roles in influencing income inequality. Savings and investments seem to play a positive role in reducing income inequality. However, savings and investment in this research affect livelihoods negatively. It behooves mankind to strive and work hard to the best of ability in earning sufficient income and embracing measures to retain his financial strength. In so doing, people will be able to provide basic household needs, celebrate the reduction in unemployment and dependence and finally ensure sustainable livelihoods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=income" title="income">income</a>, <a href="https://publications.waset.org/abstracts/search?q=inequality" title=" inequality"> inequality</a>, <a href="https://publications.waset.org/abstracts/search?q=livelihood" title=" livelihood"> livelihood</a>, <a href="https://publications.waset.org/abstracts/search?q=pakerpaint" title=" pakerpaint"> pakerpaint</a> </p> <a href="https://publications.waset.org/abstracts/147970/income-inequality-and-its-effects-on-household-livelihoods-in-parker-paint-community-liberia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147970.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">124</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2388</span> Understanding Personal Well-Being among Entrepreneurial Breadwinners: Bibliographic and Empirical Analyses of Relative Resource Theory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Fredrick%20Rice">E. Fredrick Rice</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past three decades, a substantial body of academic literature has asserted that the pressure to maintain household income can negatively affect the personal well-being of breadwinners. Given that scholars have failed to thoroughly explore this phenomenon with breadwinners who are also business owners, theory has been underdeveloped in the entrepreneurial context. To identify the most appropriate theories to apply to entrepreneurs, the current paper utilized two approaches. First, a comprehensive bibliographic analysis was conducted focusing on works at the intersection of breadwinner status and well-being. Co-authorship and journal citation patterns highlighted relative resource theory as a boundary spanning approach with promising applications in the entrepreneurial space. To build upon this theory, regression analysis was performed using data from the Panel Study of Entrepreneurial Dynamics (PSED). Empirical results showed evidence for the effects of breadwinner status and household income on entrepreneurial well-being. Further, the findings suggest that it is not merely income or job status that predicts well-being, but one’s relative financial contribution compared to that of one’s non-breadwinning organizationally employed partner. This paper offers insight into how breadwinner status can be studied in relation to the entrepreneurial personality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breadwinner" title="breadwinner">breadwinner</a>, <a href="https://publications.waset.org/abstracts/search?q=entrepreneurship" title=" entrepreneurship"> entrepreneurship</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20income" title=" household income"> household income</a>, <a href="https://publications.waset.org/abstracts/search?q=well-being." title=" well-being. "> well-being. </a> </p> <a href="https://publications.waset.org/abstracts/135525/understanding-personal-well-being-among-entrepreneurial-breadwinners-bibliographic-and-empirical-analyses-of-relative-resource-theory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135525.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2387</span> Digital Transformation, Financing Microstructures, and Impact on Well-Being and Income Inequality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Koffi%20Sodokin">Koffi Sodokin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Financing microstructures are increasingly seen as a means of financial inclusion and improving overall well-being in developing countries. In practice, digital transformation in finance can accelerate the optimal functioning of financing microstructures, such as access by households to microfinance and microinsurance. Large households' access to finance can lead to a reduction in income inequality and an overall improvement in well-being. This paper explores the impact of access to digital finance and financing microstructures on household well-being and the reduction of income inequality. To this end, we use the propensity score matching, the double difference, and the smooth instrumental quantile regression as estimation methods with two periods of survey data. The paper uses the FinScope consumer data (2016) and the Harmonized Living Standards Measurement Study (2018) from Togo in a comparative perspective. The results indicate that access to digital finance, as a cultural game changer, and to financing microstructures improves overall household well-being and contributes significantly to reducing income inequality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=financing%20microstructure" title="financing microstructure">financing microstructure</a>, <a href="https://publications.waset.org/abstracts/search?q=microinsurance" title=" microinsurance"> microinsurance</a>, <a href="https://publications.waset.org/abstracts/search?q=microfinance" title=" microfinance"> microfinance</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20finance" title=" digital finance"> digital finance</a>, <a href="https://publications.waset.org/abstracts/search?q=well-being" title=" well-being"> well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=income%20inequality" title=" income inequality"> income inequality</a> </p> <a href="https://publications.waset.org/abstracts/163343/digital-transformation-financing-microstructures-and-impact-on-well-being-and-income-inequality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163343.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">89</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2386</span> Assessing Household Energy Savings and Consumer Behavior in Padang City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prima%20Fithri">Prima Fithri</a>, <a href="https://publications.waset.org/abstracts/search?q=Lusi%20Susanti"> Lusi Susanti</a>, <a href="https://publications.waset.org/abstracts/search?q=Karin%20Bestarina"> Karin Bestarina</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indonesia's electrification ratio is still around 80.1%, which means that approximately 19.9% of households in Indonesia have not been getting the flow of electrical energy. Household electricity consumptions in Indonesia are generally still dominated by the public urban. In the city of Padang, West Sumatera, Indonesia, about 94.10% are power users of government services (PLN). The most important thing of the issue is human resources efficient energy. Consumer behavior in utilizing electricity becomes significant. Intensive questioner survey, in-depth interview and statistical analysis are carried out to collect scientific evidences of the behavioral based changes instruments to reduce electricity consumption in household sector. The questioner was developed to include five factors assuming affect the electricity consumption pattern in household sector. They are: attitude, energy price, household income, knowledge and other determinants. The survey was carried out in Padang, West Sumatra Province Indonesia. About 210 questioner papers were proportionally distributed to households in 11 districts in Padang. Stratified sampling was used as a method to select respondents. The results show that the household size, income, payment methods and size of house are factors affecting electricity saving behavior in residential sector. Household expenses on electricity are strongly influenced by gender, type of job, level of education, size of house, income, payment method and level of installed power. These results provide a scientific evidence for stakeholders on the potential of controlling electricity consumption and designing energy policy by government in residential sector. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electricity" title="electricity">electricity</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20saving" title=" energy saving"> energy saving</a>, <a href="https://publications.waset.org/abstracts/search?q=household" title=" household"> household</a>, <a href="https://publications.waset.org/abstracts/search?q=behavior" title=" behavior"> behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=policy" title=" policy"> policy</a> </p> <a href="https://publications.waset.org/abstracts/21931/assessing-household-energy-savings-and-consumer-behavior-in-padang-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21931.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">523</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2385</span> Managing Risks of Civil War: Accounting Practices in Egyptian Households</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sumohon%20Matilal">Sumohon Matilal</a>, <a href="https://publications.waset.org/abstracts/search?q=Neveen%20Abdelrehim"> Neveen Abdelrehim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to examine the way households manage the risks of civil war, using the calculative practices of accounting as a lens. As is the case with other social phenomena, accounting serves as a conduit for attributing values and rationales to crisis and in the process makes it visible and calculable. Our focus, in particular, is on the dialogue facilitated by the numerical logic of accounting between the householder and a crisis scenario, such as civil war. In other words, we seek to study how the risk of war is rationalized through household budgets, income and expenditure statements etc. and how such accounting constructs in turn shape attitudes toward earnings and spending in a wartime economy. The existing literature on war and accounting demonstrates how an accounting logic can have potentially destabilising consequences and how it is used to legitimise war. However, very few scholars have looked at the way accounting constructs are used to internalise the effects of war in an average household and the behavioural consequences that arise from such accounting. Relatedly, scholars studying household accounting have mostly focussed on the links between gender and hierarchy in relation to managing the financial affairs. Few have focused on the role of household accounts in a crisis scenario. This study intends to fill this gap. We draw upon Egypt, a country in the middle of civil war since 2011 for our purpose. We intend to carry out 15-20 semi-structured interviews with middle income households in Cairo that maintain some form of accounts to study the following issues: 1. How do people internalise the risks of civil war? What kind of accounting constructs do they use (this may take the form of simple budgets, income-expenditure notes/statements on a periodic basis, spreadsheets etc.) 2. How has civil war affected household expenditure? Are people spending more/less than before? 3. How has civil war affected household income? Are people finding it difficult/easy to survive on the pre-war income? 4. How is such accounting affecting household behaviour towards earnings and expenditure? Are families prioritising expenditure on necessities alone? Are they refraining from indulging in luxuries? Are family members doing two or three jobs to cope with difficult times? Are families increasingly turning toward borrowing? Is credit available? From whom? <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk" title="risk">risk</a>, <a href="https://publications.waset.org/abstracts/search?q=accounting" title=" accounting"> accounting</a>, <a href="https://publications.waset.org/abstracts/search?q=war" title=" war"> war</a>, <a href="https://publications.waset.org/abstracts/search?q=crisis" title=" crisis"> crisis</a> </p> <a href="https://publications.waset.org/abstracts/62376/managing-risks-of-civil-war-accounting-practices-in-egyptian-households" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62376.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">201</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2384</span> Analysis of the Savings Behaviour of Rice Farmers in Tiaong, Quezon, Philippines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Angelika%20Kris%20D.%20Dalangin">Angelika Kris D. Dalangin</a>, <a href="https://publications.waset.org/abstracts/search?q=Cesar%20B.%20Quicoy"> Cesar B. Quicoy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rice farming is a major source of livelihood and employment in the Philippines, but it requires a substantial amount of capital. Capital may come from income (farm, non-farm, and off-farm), savings and credit. However, rice farmers suffer from lack of capital due to high costs of inputs and low productivity. Capital insufficiency, coupled with low productivity, hindered them to meet their basic household and production needs. Hence, they resorted to borrowing money, mostly from informal lenders who charge very high interest rates. As another source of capital, savings can help rice farmers meet their basic needs for both the household and the farm. However, information is inadequate whether the farmers save or not, as well as, why they do not depend on savings to augment their lack of capital. Thus, it is worth analyzing how rice farmers saved. The study revealed, using the actual savings which is the difference between the household income and expenditure, that about three-fourths (72%) of the total number of farmers interviewed are savers. However, when they were asked whether they are savers or not, more than half of them considered themselves as non-savers. This gap shows that there are many farmers who think that they do not have savings at all; hence they continue to borrow money and do not depend on savings to augment their lack of capital. The study also identified the forms of savings, saving motives, and savings utilization among rice farmers. Results revealed that, for the past 12 months, most of the farmers saved cash at home for liquidity purposes while others deposited cash in banks and/or saved their money in the form of livestock. Among the most important reasons of farmers for saving are for daily household expenses, for building a house, for emergency purposes, for retirement, and for their next production. Furthermore, the study assessed the factors affecting the rice farmers’ savings behaviour using logistic regression. Results showed that the factors found to be significant were presence of non-farm income, per capita net farm income, and per capita household expense. The presence of non-farm income and per capita net farm income positively affects the farmers’ savings behaviour. On the other hand, per capita household expenses have negative effect. The effect, however, of per capita net farm income and household expenses is very negligible because of the very small chance that the farmer is a saver. Generally, income and expenditure were proved to be significant factors that affect the savings behaviour of the rice farmers. However, most farmers could not save regularly due to low farm income and high household and farm expenditures. Thus, it is highly recommended that government should develop programs or implement policies that will create more jobs for the farmers and their family members. In addition, programs and policies should be implemented to increase farm productivity and income. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agricultural%20economics" title="agricultural economics">agricultural economics</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20finance" title=" agricultural finance"> agricultural finance</a>, <a href="https://publications.waset.org/abstracts/search?q=binary%20logistic%20regression" title=" binary logistic regression"> binary logistic regression</a>, <a href="https://publications.waset.org/abstracts/search?q=logit" title=" logit"> logit</a>, <a href="https://publications.waset.org/abstracts/search?q=Philippines" title=" Philippines"> Philippines</a>, <a href="https://publications.waset.org/abstracts/search?q=Quezon" title=" Quezon"> Quezon</a>, <a href="https://publications.waset.org/abstracts/search?q=rice%20farmers" title=" rice farmers"> rice farmers</a>, <a href="https://publications.waset.org/abstracts/search?q=savings" title=" savings"> savings</a>, <a href="https://publications.waset.org/abstracts/search?q=savings%20behaviour" title=" savings behaviour"> savings behaviour</a> </p> <a href="https://publications.waset.org/abstracts/101521/analysis-of-the-savings-behaviour-of-rice-farmers-in-tiaong-quezon-philippines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101521.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2383</span> Investigating Income Diversification Strategies into Off-Farm Activities Among Rural Households in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kibret%20Berhanu%20Getinet">Kibret Berhanu Getinet</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 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. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=off-farm" title="off-farm">off-farm</a>, <a href="https://publications.waset.org/abstracts/search?q=incoem" title=" incoem"> incoem</a>, <a href="https://publications.waset.org/abstracts/search?q=diversification" title=" diversification"> diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=logit%20model" title=" logit model"> logit model</a> </p> <a href="https://publications.waset.org/abstracts/182343/investigating-income-diversification-strategies-into-off-farm-activities-among-rural-households-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182343.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">53</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2382</span> Poverty Dynamics in Thailand: Evidence from Household Panel Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nattabhorn%20Leamcharaskul">Nattabhorn Leamcharaskul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to examine determining factors of the dynamics of poverty in Thailand by using panel data of 3,567 households in 2007-2017. Four techniques of estimation are employed to analyze the situation of poverty across households and time periods: the multinomial logit model, the sequential logit model, the quantile regression model, and the difference in difference model. Households are categorized based on their experiences into 5 groups, namely chronically poor, falling into poverty, re-entering into poverty, exiting from poverty and never poor households. Estimation results emphasize the effects of demographic and socioeconomic factors as well as unexpected events on the economic status of a household. It is found that remittances have positive impact on household’s economic status in that they are likely to lower the probability of falling into poverty or trapping in poverty while they tend to increase the probability of exiting from poverty. In addition, not only receiving a secondary source of household income can raise the probability of being a never poor household, but it also significantly increases household income per capita of the chronically poor and falling into poverty households. Public work programs are recommended as an important tool to relieve household financial burden and uncertainty and thus consequently increase a chance for households to escape from poverty. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=difference%20in%20difference" title="difference in difference">difference in difference</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic" title=" dynamic"> dynamic</a>, <a href="https://publications.waset.org/abstracts/search?q=multinomial%20logit%20model" title=" multinomial logit model"> multinomial logit model</a>, <a href="https://publications.waset.org/abstracts/search?q=panel%20data" title=" panel data"> panel data</a>, <a href="https://publications.waset.org/abstracts/search?q=poverty" title=" poverty"> poverty</a>, <a href="https://publications.waset.org/abstracts/search?q=quantile%20regression" title=" quantile regression"> quantile regression</a>, <a href="https://publications.waset.org/abstracts/search?q=remittance" title=" remittance"> remittance</a>, <a href="https://publications.waset.org/abstracts/search?q=sequential%20logit%20model" title=" sequential logit model"> sequential logit model</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a>, <a href="https://publications.waset.org/abstracts/search?q=transfer" title=" transfer"> transfer</a> </p> <a href="https://publications.waset.org/abstracts/165351/poverty-dynamics-in-thailand-evidence-from-household-panel-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165351.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2381</span> The Impact of Small-Scale Irrigation on the Income of Rural Households and Determinants of Its Adoption: Evidence from Dehana Woreda, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wondmnew%20Derebe%20Yohannis">Wondmnew Derebe Yohannis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Farming irrigation plays a crucial role in rural development strategies, impacting both annual household income and livelihood. This research aims to evaluate the factors influencing irrigation participation and assess the impact of small-scale irrigation on rural households' annual income. The study collected data from 287 farmers in the Dahana district of northern Ethiopia. The research investigates the driving forces behind farmers' decisions to adopt small-scale irrigation and its effect on annual income gain. The findings reveal that several factors positively influence the probability of adoption, including access to credit, cultivated land size, livestock holding, extension contact, and the education level of the household head. Conversely, the distance to local markets and water schemes negatively affects the likelihood of adoption. To understand the differences in annual income between farm households that adopted irrigation and those that did not, a simultaneous equations model with endogenous switching regression is estimated. This accounts for the heterogeneity in the adoption decision and unobservable characteristics of farmers and their farms. The analysis compares the expected income gain under actual and counterfactual scenarios, considering whether the farm household adopted irrigation or not. The study reveals that the group of farm households that adopted irrigation has distinct characteristics compared to those that did not adopt it. Furthermore, the research demonstrates that the adoption of irrigation practices leads to an increase in annual income. Interestingly, the impact of small-scale irrigation on annual income is greater for the farm households that actually adopted irrigation compared to those in the counterfactual scenario where they did not adopt. Based on the findings, the researcher concludes that small-scale irrigation is a practical solution for meeting household financial needs in the study area. It is recommended that investments in small-scale irrigation continue to further improve the livelihoods of rural farming communities by enhancing annual income gains. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=small-scale%20irrigation" title="small-scale irrigation">small-scale irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20farm%20households" title=" rural farm households"> rural farm households</a>, <a href="https://publications.waset.org/abstracts/search?q=endogenous%20switching%20regression" title=" endogenous switching regression"> endogenous switching regression</a>, <a href="https://publications.waset.org/abstracts/search?q=user" title=" user"> user</a>, <a href="https://publications.waset.org/abstracts/search?q=non-user" title=" non-user"> non-user</a> </p> <a href="https://publications.waset.org/abstracts/183091/the-impact-of-small-scale-irrigation-on-the-income-of-rural-households-and-determinants-of-its-adoption-evidence-from-dehana-woreda-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183091.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">63</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2380</span> Household Size and Poverty Rate: Evidence from Nepal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Basan%20Shrestha">Basan Shrestha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The relationship between the household size and the poverty is not well understood. Malthus followers advocate that the increasing population add pressure to the dwindling resource base due to increasing demand that would lead to poverty. Others claim that bigger households are richer due to availability of household labour for income generation activities. Facts from Nepal were analyzed to examine the relationship between the household size and poverty rate. The analysis of data from 3,968 Village Development Committee (VDC)/ municipality (MP) located in 75 districts of all five development regions revealed that the average household size had moderate positive correlation with the poverty rate (Karl Pearson's correlation coefficient=0.44). In a regression analysis, the household size determined 20% of the variation in the poverty rate. Higher positive correlation was observed in eastern Nepal (Karl Pearson's correlation coefficient=0.66). The regression analysis showed that the household size determined 43% of the variation in the poverty rate in east. The relation was poor in far-west. It could be because higher incidence of poverty was there irrespective of household size. Overall, the facts revealed that the bigger households were relatively poorer. With the increasing level of awareness and interventions for family planning, it is anticipated that the household size will decrease leading to the decreased poverty rate. In addition, the government needs to devise a mechanism to create employment opportunities for the household labour force to reduce poverty. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=household%20size" title="household size">household size</a>, <a href="https://publications.waset.org/abstracts/search?q=poverty%20rate" title=" poverty rate"> poverty rate</a>, <a href="https://publications.waset.org/abstracts/search?q=nepal" title=" nepal"> nepal</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20development" title=" regional development"> regional development</a> </p> <a href="https://publications.waset.org/abstracts/30813/household-size-and-poverty-rate-evidence-from-nepal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30813.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">361</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2379</span> Determinants of the Income of Household Level Coir Yarn Labourers in Sri Lanka</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20H.%20B.%20Dilhari">G. H. B. Dilhari</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20D.%20T.%20Saparamadu"> A. A. D. T. Saparamadu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sri Lanka is one of the prominent countries for the coir production. The coir is one of the by-products of the coconut and the coir industry is considered to be one of the traditional industries in Sri Lanka. Because of the inherent nature of the coir industry, labourers play a significant role in the coir production process. The study has analyzed the determinants of the income of the household level coir yarn labourers. The study was conducted in the Kumarakanda Grama Niladhari division. Simple random sampling was used to generate a sample of 100 household level coir yarn labourers and structured questionnaire, personal interviews, and discussion were performed to gather the required data. The obtained data were statistically analyzed by using Statistical Package for Social Science (SPSS) software. Mann-Whitney U and Kruskal-Wallis test were performed for mean comparison. The findings revealed that the household level coir yarn industry is dominated by the female workers and it was identified that fewer numbers of workers have engaged in this industry as the main occupation. In addition to that, elderly participation in the industry is higher than the younger participation and most of them have engaged in the industry as a source of extra income. Level of education, the methods of engagement, satisfaction, engagement in the industry by the next generation, support from the government, method of government support, working hours per day, employed as a main job, number of completed units per day, suffering from job related diseases and type of the diseases were related with income level of household level coir yarn laboures. The recommendations as to flourish in future includes, technological transformation for coir yarn production, strengthening the raw material base and regulating the raw material supply, introduction of new technologies, markets and training programmes, the establishment of the labourers’ association, the initiation of micro credit schemes and better consideration about the job oriented diseases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coir%20yarn" title="coir yarn">coir yarn</a>, <a href="https://publications.waset.org/abstracts/search?q=determinants" title=" determinants"> determinants</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=Sri%20Lanka" title=" Sri Lanka"> Sri Lanka</a> </p> <a href="https://publications.waset.org/abstracts/42501/determinants-of-the-income-of-household-level-coir-yarn-labourers-in-sri-lanka" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42501.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">312</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2378</span> Determinants and Impact on Income: Special Reference to Household Level Coir Yarn Labourers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20H.%20B.%20Dilhari">G. H. B. Dilhari</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20D.%20T.%20Saparamadu"> A. A. D. T. Saparamadu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The coir is one of the by-products of the coconut and the coir industry can be identified as one of the traditional industries in Sri Lanka. Sri Lanka is one of the prominent countries for the coir production. Due to the labour insensitiveness, the labourers are the significant factor in the coir production process. The study has analyzed the determinants and its impact on income of the household level coir yarn labourers. The study was conducted in the Kumarakanda Grama Niladhari division, Galle, Sri Lanka. Simple random sampling was used to generate the sample of 100 household level coir yarn labourers and structured questionnaire, personal interviews and discussion were performed to gather the required data. The obtained data were statistically analyzed by using Statistical Package for Social Science (SPSS) software. Mann-Whitney U and Kruskal-Wallis test were carried out. The findings revealed that the household level coir yarn industry is dominated by the female workers and fewer amounts of workers have engaged this industry as the main occupation. In addition to that, elderly participation of the industry is greater than younger participation and most of them engaged as an extra income source. Level of education, the methods of engagement, satisfaction, labour’s children employment in the coir industry, support from the government, method of government support, working hours per day, employed as a main job, no of completed units per day, suffering any job related diseases and type of the diseases were related with income level of household level coir yarn labourers. The recommendations were formulated in respect to these problems including technological transformation for coir yarn production, strengthening of the raw material base and regulating the raw material supply, introduction of new technologies, markets and training programs, the establishment of the labourers association, the initiation of micro credit schemes, better consideration about the job oriented diseases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coir" title="coir">coir</a>, <a href="https://publications.waset.org/abstracts/search?q=coir%20yarn%20labourers" title=" coir yarn labourers"> coir yarn labourers</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=Galle" title=" Galle"> Galle</a> </p> <a href="https://publications.waset.org/abstracts/37373/determinants-and-impact-on-income-special-reference-to-household-level-coir-yarn-labourers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37373.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">192</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2377</span> A Look Back at America’s Transit History and the Impacts of Household Income on Walkability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jackson%20Becker">Jackson Becker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transportation produces the largest amount of carbon dioxide emissions in the United States of America. Today, cars are the predominant mode of transportation across the country, and our cities have been reshaped due to them. This was not always the case. Streetcars were seen in almost every American city of the early 1900s. These streetcar systems were viewed as obsolete with the rise of the automobile. With fewer streetcars came lower public transport ridership. Austin, Texas is one of the fastest growing cities in the country, and it used to have an extensive streetcar line. Today, it plans to build a light rail line with less rail mileage than 100 years ago. This research looks at the areas of Austin that are not included in the city’s new transit plan. Transit connectivity is one factor that goes into walkability rates for cities. This study also looks at the correlation between walkability ratings with median household income levels from the 2019 Census. The results showed a correlation between higher income neighborhoods having higher walkability rates, which was influenced by the lack of public transportation options. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transportation" title="transportation">transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=walkability" title=" walkability"> walkability</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=austin" title=" austin"> austin</a> </p> <a href="https://publications.waset.org/abstracts/191382/a-look-back-at-americas-transit-history-and-the-impacts-of-household-income-on-walkability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191382.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">13</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2376</span> Investigation of Factors Affecting Bangkok Urban Residents’ Behaviour of Bookkeeping for Household Accounts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anocha%20Kimkong">Anocha Kimkong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research paper, based on demographic variables, is aimed to study the behaviour of bookkeeping for household accounts of residents living in urban communities in Dusit District, Bangkok and to investigate factors that affected the behavior of bookkeeping. By use of non proportional stratified sampling technique of probability sampling, the research had a total of 247 samples. The systematic sampling technique was also utilized by selecting one household out of every 3 households. The demographic findings reported female respondents as the majority with an average age between 26-35 years old, having married status and having children. The respondents earn a living by selling, with an average income per month of between 5,001-15,000 Baht. Most of the families rent a house and each family have approximately 3-4 members. Furthermore, most of the household respondents used to be trained to do bookkeeping for household accounts. In addition, the factors in affecting the residents’ behaviour of doing household account bookkeeping included a dislike of numbers, inaccuracy of recording, availability of accounting counselors in the communities, people’s participation in trainings arranged by outside organizations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=household%20account" title="household account">household account</a>, <a href="https://publications.waset.org/abstracts/search?q=bookkeeping" title=" bookkeeping"> bookkeeping</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20community" title=" urban community"> urban community</a>, <a href="https://publications.waset.org/abstracts/search?q=demographic%20variables" title=" demographic variables"> demographic variables</a> </p> <a href="https://publications.waset.org/abstracts/8117/investigation-of-factors-affecting-bangkok-urban-residents-behaviour-of-bookkeeping-for-household-accounts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8117.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">270</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=household%20income&amp;page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=household%20income&amp;page=3">3</a></li> <li class="page-item"><a class="page-link" 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