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Journal articles on the topic 'Household Survey'
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Vyas, Sangita, Nikhil Srivastav, Divya Mary, Neeta Goel, Sujatha Srinivasan, Ajaykumar Tannirkulam, Radu Ban, Dean Spears, and Diane Coffey. "Measuring open defecation in India using survey questions: evidence from a randomised survey experiment." BMJ Open 9, no. 9 (September 2019): e030152. http://dx.doi.org/10.1136/bmjopen-2019-030152.
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ObjectivesTo investigate differences in reported open defecation between a question about latrine use or open defecation for every household member and a household-level question.SettingRural India is home to most of the world’s open defecation. India’s Demographic and Health Survey (DHS) 2015–2016 estimates that 54% of households in rural India defecate in the open. This measure is based on a question asking about the behaviour of all household members in one question. Yet, studies in rural India find substantial open defecation among individuals living in households with latrines, suggesting that household-level questions underestimate true open defecation.ParticipantsIn 2018, we randomly assigned latrine-owning households in rural parts of four Indian states to receive one of two survey modules measuring sanitation behaviour. 1215 households were asked about latrine use or open defecation individually for every household member. 1216 households were asked the household-level question used in India’s DHS: what type of facility do members of the household usually use?ResultsWe compare reported open defecation between households asked the individual-level questions and those asked the household-level question. Using two methods for comparing open defecation by question type, the individual-level question found 20–21 (95% CI 16 to 25 for both estimates) percentage points more open defecation than the household-level question, among all households, and 28–29 (95% CI 22 to 35 for both estimates) percentage points more open defecation among households that received assistance to construct their latrines.ConclusionsWe provide the first evidence that individual-level questions find more open defecation than household-level questions. Because reducing open defecation in India is essential to meeting the Sustainable Development Goals, and exposure to open defecation has consequences for child mortality and development, it is essential to accurately monitor its progress.Trial registration numberRegistry for International Development Impact Evaluations (5b55458ca54d1).
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Ruranga, Charles, and Scott Hacker. "The Determinants of Households Having Savings Accounts in Rwanda." Rwanda Journal of Social Sciences, Humanities and Business 1, no. 1 (August 5, 2020): 6–19. http://dx.doi.org/10.4314/rjsshb.v1i1.2.
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This paper analyses the determinants of Rwandan households having savings accounts using Integrated Household Living Conditions Survey (IHLCS) data of 2010/11. After a background discussion and literature review an empirical analysis is presented with different variables adopted and analysed as determinants of household’s head having savings accounts. Poverty level, age, gender, residential area and level education of household head (literate or not) were considered as independent variables of the study. Findings from the estimations of logit models indicate the likelihood of a household having a savings account is positively and significantly related to each of the following: non-poor status of the household,the household residing in an urban area, the household head being male, and the household head being literate. Having the household head be literate tends to be more important for younger household heads and for non-poor households. The proportion of households having money in a savings account more than doubled over the decade between the IHLCS 2000/2001 survey and the IHLCS 2010/2011 survey. Government policies on savings and poverty reduction may explain the trend of increased cash balances in saving accounts.
Key Words: Savings, Bank Accounts, Households, Determinants,
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Paterakis, Sophia E., and Michael Nelson. "A comparison between the National Food Survey and the Family Expenditure Survey food expenditure data." Public Health Nutrition 6, no. 6 (September 2003): 571–80. http://dx.doi.org/10.1079/phn2003469.
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AbstractObjective:Household budget surveys (HBSs) have been used to assess nutritional information for epidemiological purposes. The agreement between this information and other comparable data needs to be examined. The aim of this project was to compare household food expenditure data between two British HBSs: the National Food Survey (NFS) and the Family Expenditure Survey (FES).Design:Household food expenditure data were compared between the NFS and the FES for the years from 1982 to 1993. Differences in expenditure were assessed by year, by household composition, by income group and by region; for trends across time for all households and for regional, household composition and income group variations.Setting:Great Britain.Subjects:Approximately 88 000 NFS households and 85 000 FES households surveyed between 1982 and 1993 were used in this analysis.Results:Marked differences between the food expenditure data provided by the two surveys were observed. Furthermore, differences in time trends were substantial, which can lead to different conclusions regarding changes in consumption patterns.Conclusions:There is no obvious reason for the differences in household food expenditure between the NFS and the FES. Methodological differences between the two surveys cannot provide a full explanation for these discrepancies. The NFS and FES are now merged into a single survey (the Expenditure and Food Survey). If HBSs are to be used for epidemiological purposes their validity needs to be established.
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Fiedler, John L. "Food Crop Production, Nutrient Availability, and Nutrient Intakes in Bangladesh: Exploring the Agriculture—Nutrition Nexus with the 2010 Household Income and Expenditure Survey." Food and Nutrition Bulletin 35, no. 4 (December 2014): 487–508. http://dx.doi.org/10.1177/156482651403500410.
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Background Systematic collection of national agricultural data has been neglected in many low- and middle-income countries for the past 20 years. Commonly conducted nationally representative household surveys collect substantial quantities of highly underutilized food crop production data. Objective To demonstrate the potential usefulness of commonly available household survey databases for analyzing the agriculture—nutrition nexus. Methods Using household data from the 2010 Bangladesh Household Income and Expenditure Survey, the role and significance of crop selection, area planted, yield, nutrient production, and the disposition of 34 food crops in affecting the adequacy of farming households' nutrient availability and nutrient intake status are explored. The adequacy of each farming household's available energy, vitamin A, calcium, iron, and zinc and households' apparent intakes and intake adequacies are estimated. Each household's total apparent nutrient intake adequacies are estimated, taking into account the amount of each crop that households consume from their own production, together with food purchased or obtained from other sources. Results Even though rice contains relatively small amounts of micronutrients, has relatively low nutrient density, and is a relatively poor source of nutrients compared with what other crops can produce on a given tract of land, because so much rice is produced in Bangladesh, it is the source of 90% of the total available energy, 85% of the zinc, 67% of the calcium, and 55% of the iron produced by the agricultural sector. The domination of agriculture and diet by rice is a major constraint to improving nutrition in Bangladesh. Simple examples of how minor changes in the five most common cropping patterns could improve farming households' nutritional status are provided. Conclusions Household surveys' agricultural modules can provide a useful tool for better understanding national nutrient production realities and possibilities.
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Johnstone, Nick, and Ysé Serret. "Determinants of bottled and purified water consumption: results based on an OECD survey." Water Policy 14, no. 4 (October 16, 2011): 668–79. http://dx.doi.org/10.2166/wp.2011.048.
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In the face of dissatisfaction with the quality of public water supply, there is significant ‘willingness-to-pay’ for improved services. However, pressuring authorities for public sector investments in water quality services is not the only means at the disposal of households to bring about improvements in drinking water quality. On the one hand, households can invest in purification systems at the level of the individual household. On the other, they can consume bottled water for their drinking needs. Based on a survey of 10,000 households, this paper analyses the determinants of a household's decision to purchase bottled water or invest in a purification system. Negative perceptions of tap water quality (health and taste concerns) affect the decision to purchase bottled water and home purification, with much greater effect on bottled water consumption. The same is true of household income. Household size, the presence of children in the household and length of residence affects the decision to invest in purification, but not bottled water consumption. Concern about solid waste has a negative impact on bottled water consumption, and car ownership has a positive impact.
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Sekaringsih, Riswanti Budi. "Does Finance Access Matters for Children? An Evidence Form Indonesia Family Life Survey 5 and 4." Global Review of Islamic Economics and Business 5, no. 1 (December 7, 2017): 055. http://dx.doi.org/10.14421/grieb.2017.051-05.
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As explained in the declaration of Sustainable Development Goals (SDG) in January 2016, two of the achievements are good health and wellbeing and quality education. Households as one of the drivers of the economy, household should be able to improve this achievement. Because There are two kinds of household’s outcome such as; child health and child education. One of the factors that influence this outcome is household financial access. A household who had better access on finance was more sustain than the other. This study aims to examine the impact of household financial acces on child education and child health. Source of data that used is Indonesia Family Life Survey (IFLS/SAKERTI) year 2014 and 2007. The recognition that finance access is an input in a household's production function has major implications for development. It suggests that the acquisition of human capital and the establishment of a physical infrastructure needs to be complemented by human investment the estimation is done in three ways; pooled OLS, fixed effect and random effect. The result shows that finance access matters for child health, specially the availability of BRI and BMT in village. And for child education, finance access specially the availability of BRI and BMT in village have positive impact for child education.
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Rahman, Nora Azureen Abdul, Zunarni Kosim, and Siew Goh Yeok. "Household Indebtedness in Malaysia: A Survey Evidence." International Journal of Trade, Economics and Finance 7, no. 4 (August 2016): 102–4. http://dx.doi.org/10.18178/ijtef.2016.7.4.507.
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Huang, Tsung, Xin Xu, and Tsun-Feng Chiang. "Household Expectations for Future Economy and Risk-Taking Attitudes." Journal of Financial Counseling and Planning 27, no. 1 (2016): 109–21. http://dx.doi.org/10.1891/1052-3073.27.1.109.
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The purpose of this study is to examine factors associated with households’ willingness to take financial risks, particularly the effect of households’ expectations. The data used in this study are the Survey of Consumer Finances 2007 by which researchers can examine the household financial issues before the financial crisis. By employing multinomial logit regression, the new finding of this study is that when the households expect that the future economy will be better, they are not willing to take either no or substantial financial risk. This study uses the uncertainty theory with the timing of the survey to interpret this seemingly unintuitive result. Other findings are that age, more working people in a household, male, education, and majority race are household characteristics positively affecting the probability of the household’s willingness to take average and above average financial risks.
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Balanda, Kevin P., Ian T. Ring, Dawn Spinks, Jim Nixon, and W. Robert Pitt. "Reducing Childhood Home Injuries: The Role of Local Home Safety Surveys." Australasian Journal of Early Childhood 20, no. 2 (June 1995): 32–41. http://dx.doi.org/10.1177/183693919502000207.
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Fifty per cent of all childhood injuries, and 75% of those amongst children aged under five years, occur in private homes. In 1989 a random survey of 1050 Brisbane households was conducted to investigate their home injury risk profile and the knowledge, attitudes and beliefs of their residents. The survey comprised a personal interview with the householder and a visual assessment of the interior and exterior of the household. This paper summarises key results of the visual assessments and describes community knowledge, attitudes and beliefs regarding home safety. The paper argues that household home safety surveys are useful and necessary adjuncts to local injury surveillance collections. We give three examples of how they can contribute to the reduction of childhood home injury.
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Atamja, Louis, and Sungjoon Yoo. "Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon." Sustainability 13, no. 11 (May 25, 2021): 5964. http://dx.doi.org/10.3390/su13115964.
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The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.
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Majumder, Sacchidanand, and Soma Chowdhury Biswas. "Health and Socio-economic Implications of Poverty in Bangladesh." European Scientific Journal, ESJ 14, no. 29 (October 31, 2018): 301. http://dx.doi.org/10.19044/esj.2018.v14n29p301.
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The objective of this study was to explore the influences of the health and socio-economic factors associated with the poverty level of households in Bangladesh, through an analysis of data from the Household Income and Expenditure Survey (HIES) 2010 conducted by Bangladesh Bureau of Statistics (BBS). A total of all 12,240 households was considered in this study. CBN method was applied for estimating poverty of the household. A logistic regression analysis was used to identify the main factors that influence the household’s poverty. The results showed that the probability of the household being poor was higher when the household’s head suffered from various chronic diseases like chronic fever, injuries/disability, eczema, leprosy, and asthma/breathing trouble as compared to the household whose head didn’t suffer from any chronic diseases. From the analysis, it was also found that when a large number within household suffered from any chronic disease, the probability of the household being poor was increased. The household that had no access to health care was poorer than the household that had access to health care. The results also showed that with increased investment in health, the probability of the household being poor was decreased. The results showed that rural households were poorer than urban households. Monthly income, land ownership, construction materials of walls and roofs, types of the latrine, source of drinking water, household size; age, sex, and employment status of the household’s head all had a significant impact on the poverty level of the household.
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Oksinenko, V. G. "Experience in Using Sample Surveys in Assessing the Prerequisites for Emigration to Russia (On the example of the Republic of Armenia)." Voprosy statistiki 29, no. 5 (November 3, 2022): 61–71. http://dx.doi.org/10.34023/2313-6383-2022-29-5-61-71.
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The purpose of this work is to examine the characteristics of households in the Republic of Armenia that send migrants to Russia compared with households that do not have migrants or that are not in Russia. The author used data from the sample survey – the Household’s Integrated Living Conditions Survey in the Republic of Armenia. The relevance of the study is emphasized, in particular, in connection with Armenia's accession to the EAEU and the creation of a single labor market.The article focuses on the survey programme, which includes questions that allow to characterize households by various parameters (in particular by household size, average per capita income, level of education, proportion of women, children and elderly in a household, migration component).The paper analyses households included in the survey (with household members who emigrated to the Russian Federation). Comparing this group with households without migrants or with migrants in other countries and regions shows that Russia is mainly chosen by labor migrants from households that live in rural areas, have a relatively small proportion of children, women, and the elderly. At the same time, such households are more numerous, the age of their heads is within the limits of the senior working age, and the proportion of working members is higher than in other households. Statistical analysis based on the data of the sample survey under consideration suggests that emigration to Russia is chosen mainly by households with a relatively low level of financial well-being. Thus, for a certain part of Armenian households, participation in labor migration to Russia is, in their opinion, a keyway to obtain a livelihood or an opportunity to increase the level of financial well-being of the entire household.
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Paár, Dávid. "Differences in the Hungarian households’ sport expenditures." Applied Studies in Agribusiness and Commerce 7, no. 1 (March 31, 2013): 91–96. http://dx.doi.org/10.19041/apstract/2013/1/16.
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The paper searches the differences between the groups of Hungarian households regarding the sport expenditures’ presence in household budget and determining factors. I used the latest Household Budget Survey (HBS) of the Hungarian Central Statistical Office from 2008 which contains data of more than 7000 households. My methods were logit and probit models, where the presence of sport expenditures were explained in households’ budget. The increase of the following indicators has a positive effect onto the possibility of the sport expenditures: income status, level of education, number of the children in the household, size of settlement. The region of the household is determining the presence of the sport expenditures too, however sex of the household’s head does not play a significant role.
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Matheson, Jesse, and Lynn McIntyre. "Women respondents report higher household food insecurity than do men in similar Canadian households." Public Health Nutrition 17, no. 1 (May 7, 2013): 40–48. http://dx.doi.org/10.1017/s136898001300116x.
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AbstractObjectiveWe investigated factors accounting for the consistently higher levels of household food insecurity reported by women in Canada.DesignTwo cycles of the Canadian Community Health Survey for the years 2005/2006 and 2007/2008 were pooled to examine the association between household food insecurity, measured using the Household Food Security Survey Module and other metrics, and respondent sex. We stratified households as married/cohabiting (in which case, the household respondent was chosen randomly) or non-married (single/widowed/separated/divorced) and adjusted for differences in household characteristics, including the presence of children.SettingCanada.SubjectsAnalysis was restricted to households dependent on employment/self-employment and whose reported annual household income was below $CAN 100 000. Exclusions included respondents less than 18 years of age, any welfare receipt, and missing food insecurity, marital status, income source and amount, or household composition data.ResultsFor non-married households, increased food insecurity in female-v. male-led households was accounted for by significant differences in household socio-economic characteristics. In contrast, in married/cohabiting households with or without children, higher food insecurity rates were reported when the respondent was female and neither respondent characteristics nor socio-economic factors accounted for the differences.ConclusionsHigher rates of food insecurity in non-married households in Canada are largely attributable to women's socio-economic disadvantage. In married households, women appear to report higher levels of food insecurity than men. These findings suggest a possible bias in the measurement of population-level household food insecurity in surveys that do not account for the sex of the respondent in married/cohabiting households.
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Lipps, Oliver. "Interviewer Effects on Cooperation during Initial and Refusal Conversion Fieldwork Phases in Telephone Panel Surveys." Field Methods 31, no. 4 (September 11, 2019): 375–93. http://dx.doi.org/10.1177/1525822x19874285.
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Specific interviewer characteristics, interviewer continuity, or matching interviewer and household characteristics may increase cooperation, especially for difficult-to-convince households. In face-to-face surveys, unobserved heterogeneity often makes a proper analysis of interviewer effects impossible. Although surveys conducted in telephone centers usually assign households to interviewers at random, there is less research on interviewer effects on cooperation, probably because telephone surveys produce smaller effects. Using data from a large telephone panel survey, I find interviewer effects only for households that refused to participate in a previous wave. Interviewer continuity or matching interviewers and households on sociodemographic variables has weak effects for any type of household. Interviewer experience has positive effects for previously refusing households only. Telephone survey organizations therefore only need to worry about using specially trained interviewers for refusal conversion calls, while specific assignments of interviewers to households are not necessary.
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., Durr-E.-Nayab, and G. M. Arif. "Pakistan Panel Household Survey: Sample Size and Attrition." Pakistan Development Review 53, no. 2 (June 1, 2014): 223–37. http://dx.doi.org/10.30541/v53i2pp.223-237.
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The socio-economic databases in Pakistan, as in most countries, can be classified into three broad categories, namely registration-based statistics, data produced by different population censuses and household survey-based data. The registration system of births and deaths in Pakistan has historically been inadequate [Afzal and Ahmed (1974)] and the population censuses have not been carried out regularly. The household surveys such as Pakistan Demographic Survey (PDS), Labour Force Survey (LFS) and Household Income Expenditure Survey (HIES) have been periodically conducted since the 1960s. These surveys have filled the data gaps created by the weak registration system and the irregularity in conducting censuses. The data generated by the household surveys have also enabled social scientists to examine a wide range of issues, including natural increase in population, education, employment, poverty, health, nutrition, and housing. All these surveys are, however, cross-sectional in nature so it is not possible to gauge the dynamics of these social and economic processes, for example the transition from school to labour market, movement into or out of poverty, movement of labour from one state of employment to another. A proper understanding of such dynamics requires longitudinal or panel datasets where the same households are visited over time. Since panel surveys are complex and expensive to carry out, they are not as commonly conducted as the cross-sectional surveys anywhere in the world and in Pakistan they are even rarer
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Apoorva, R., Durba Biswas, and Veena Srinivasan. "Do household surveys estimate tap water use accurately? Evidence from pressure-sensor based estimates in Coimbatore, India." Journal of Water, Sanitation and Hygiene for Development 8, no. 2 (February 19, 2018): 278–89. http://dx.doi.org/10.2166/washdev.2018.127.
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Abstract Quantifying domestic water use at the household scale is crucial for any policy interventions towards ensuring adequate, equitable and safe water access. In developing country contexts, piped water supply is often one of several sources from which households access water and this is often unmetered. The most common approach to quantifying household water use from multiple sources is through household surveys. But there is no evidence that household surveys accurately estimate water use. This study utilized high-resolution pressure-sensor data as a reference to evaluate the effectiveness of conventional household survey methods through a sample of 82 households in Coimbatore city in South India. The pressure sensors produced detailed, continuous and accurate information on all sources of water accessed through the household storage infrastructure, but they were expensive and intrusive. Compared with pressure-sensor derived estimates of tap water use, household surveys alone fared very poorly. However, household surveys and well-designed water diaries of supply and pumping, coupled with simple one-time field measurements, emerged as a valid approach to quantifying household water use from taps under multiple source dependence.
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Altmann, Kristina, René Bernard, Julia Le Blanc, Enikö Gabor-Toth, Malik Hebbat, Lisa Kothmayr, Tobias Schmidt, Panagiota Tzamourani, Daniel Werner, and Junyi Zhu. "The Panel on Household Finances (PHF) – Microdata on household wealth in Germany." German Economic Review 21, no. 3 (September 26, 2020): 373–400. http://dx.doi.org/10.1515/ger-2019-0122.
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AbstractThe Panel on Household Finances (PHF) has established itself as one of the leading sources of microdata on households’ wealth in Germany since its inception in 2010. Over the last ten years, more than 7,583 households have participated in the surveys in 2010–11, 2014 and 2017, many of them taking part more than once (3,734 households). This paper provides an overview of the contents, main methodological aspects and use of the PHF data. It also highlights differences to other surveys and addresses how the survey may develop in the future.
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Trépanier, Martin, and Robert Chapleau. "Analyse orientée-objet et totalement désagrégée des données d'enquêtes ménages origine-destination." Canadian Journal of Civil Engineering 28, no. 1 (February 1, 2001): 48–58. http://dx.doi.org/10.1139/l00-106.
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Large urban household surveys produce a huge quantity of data, generally processed with database management systems (DBMS). In most cases, data are compiled, aggregated, and then integrated in traditional transportation models. Based on another perspective, the totally disagregate approach (TDA) uses a unified survey data file in which every piece of information is preserved. The data file is used for individual analysis of households, people, and trips. The addition of an object-oriented modeling to the totally disaggregate approach permits the instantiation of survey data into objects. These objects are manipulated along with their properties and methods. New objects are derived from survey declaration and then reused in the process: status, trip generators. The enriched object-model is used for visualization, analysis, and presentation. This widens the possibilities of usage of household survey data.Key words: urban transportation, household surveys, modeling, oriented-object approach.
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JERYANA, I. PUTU, I. PUTU EKA NILA KENCANA, and G. K. GANDHIADI. "MODEL REGRESI TOBIT KONSUMSI SUSU CAIR PABRIK (Studi Kasus Rumah Tangga di Provinsi Bali)." E-Jurnal Matematika 3, no. 2 (May 31, 2014): 75. http://dx.doi.org/10.24843/mtk.2014.v03.i02.p068.
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Regression analysis is used to study the relationship between dependent (response) variable with one or more independent (causal) variables. While response data were censored, then Tobit regression model could be applied. According to Greene (2003), censored data were data with incomplete observation or the dependent variable has a value of zero, while for the other observations have particular value. This research aimed to model dairy milk’s consumption from households at Bali Province. By using data from Survey SosialEkonomiNasional (SUSENAS) or Social Economy’s National Survey (SENS) for year 2012, 615 households were selected as sampling unit using simple random sampling technique, and found 123 households who consumed dairy milk. The independent variables in our model were last education level completed by head of household’s (X1), head of household’s work (X2), age of head of household’s (X3), amount of expenditure for food consumption’s (X4), number of household members (X5), and household income (X6), the response variable was budget for buying dairy milk (Y). From six independent variables, is found only last education level by head household and amount of expenditure for food consumption had siginficant effect on Y’s. The final Tobit regression model were obtained using AIC (Akaike Information Criterion) method is Y = -3314724 + 565429,7 X1 + 0,014278 X4 with pseudo R2 as much as 16.79 per cent.
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Xu, Chengcheng, and Shuyue Wu. "Evaluating the Effects of Household Characteristics on Household Daily Traffic Emissions Based on Household Travel Survey Data." Sustainability 11, no. 6 (March 20, 2019): 1684. http://dx.doi.org/10.3390/su11061684.
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This study aimed to investigate the effects of household characteristics on household traffic emissions. The household travel survey data conducted in the Jiangning District of Nanjing City, China were used. The vehicle emissions of household members’ trips were calculated using average emission factors by average speed and vehicle category. Descriptive statistics analysis showed that the average daily traffic emissions of CO, NOx and PM2.5 per household are 8.66 g, 0.55 g and 0.04 g respectively. The household traffic emissions of these three pollutants were found to have imbalanced distributions across households. The top 20% highest-emission households accounted for nearly two thirds of the total emissions. Based on the one-way ANOVA tests, the means of CO, NOx and PM2.5 emissions were found to be significantly different over households with different member numbers, automobile numbers, annual income and access to the subway. Finally, the household daily traffic emissions were linked with household characteristics based on multiple linear regressions. The contributing factors are slightly different among the three different emissions. The number of private vehicles, number of motorcycles, and household income significantly affect all three emissions. More specifically, the number of private vehicles has positive effects on CO and PM2.5 emissions, but negative effect on NOx emissions. The number of motorcycles and the household income have positive effects on all three emissions.
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Enriquez, Diana, and Adam Goldstein. "COVID-19’s Socioeconomic Impact on Low-Income Benefit Recipients: Early Evidence from Tracking Surveys." Socius: Sociological Research for a Dynamic World 6 (January 2020): 237802312097079. http://dx.doi.org/10.1177/2378023120970794.
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The coronavirus disease 2019 (COVID-19) pandemic has introduced manifold dislocations in Americans’ lives. Using novel survey data samples of Supplemental Nutritional Assistance Program (SNAP) recipients and U.S. Census Bureau Household Pulse Survey data, the authors examine the incidence of COVID-19-induced hardships among low-income/benefits-eligible households during the early months of the crisis. Five repeated online surveys of SNAP recipients measured perceived and realized housing insecurity, food scarcity, new debt accrual, and recent job loss. These data were supplemented by creating parallel measures among all low-income households from Household Pulse Survey. Food insecurity and debt accrual grew more prevalent between from April to June 2020, and job losses compounded. Although the magnitude of racial differences varies across indicators and data sources, black respondents fared consistently worse than non-Hispanic whites in both survey data sets, and Latinx respondents fared worse than whites in the Household Pulse Survey. These results provide early systematic evidence on the impact of the COVID-19 crisis on poor Americans and racial disparities therein.
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Yang, Wei, Peng Yang, Huaiwang Shi, and Weizeng Sun. "Mobile Payment Application and Rural Household Consumption—Evidence from China Household Finance Survey." Sustainability 15, no. 1 (December 26, 2022): 341. http://dx.doi.org/10.3390/su15010341.
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How to release rural consumption potential is currently of great significance for the sustainable economic growth of the developing world. Using representative survey data from the China Household Finance Survey (CHFS), this paper studied the impacts of mobile payments on rural household consumption and its mechanisms. This study constructed instrumental variables from the perspective of induced demand for mobile payments to overcome the endogeneity problem and found that the application of mobile payments significantly promoted rural household consumption by 29.8–52.3%. Mechanism analysis indicated that mobile payments could ease liquidity constraints, enrich consumption choice, and improve payment convenience for rural households, which are the main channels behind the above finding. Heterogeneous analysis showed that the impact of mobile payments on household consumption of the elderly and less educated was relatively higher. Moreover, this study found that mobile payments are conducive to promoting the consumption upgrading of rural households by significantly improving their enjoyment consumption. In addition, although it encourages rural households to consume more online and mobile payment methods, it does not crowd out the effect of rural households’ offline consumption. The findings of this paper provide new insight into the role of technical progress in promoting total consumption and consumption upgrading in rural areas.
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Khammarnia, M., A. Keshtkaran, Z. Kavosi, and R. Hayati. "The Household Health Spending and Impoverishment: Findings from the Households Survey in Shiraz, Iran." Bangladesh Medical Research Council Bulletin 40, no. 2 (October 5, 2015): 58–62. http://dx.doi.org/10.3329/bmrcb.v40i2.25184.
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The present study aimed to investigate the households' impoverishment due to the healthcare costs in Shiraz in 2012. In this household's survey, 800 households were studied in Shiraz. The study sample was selected using stratified and cluster sampling in the urban and rural areas, respectively. The information was collected using the household section of the World Health Survey questionnaire. In order to determine impoverishment due to health spending, at first, the households' food-based poverty line (subsistence expenditure) was measured. Then, households' health expenditure was subtracted from their total expenditure and if the obtained value was lower than the households' food-based poverty line, the households was considered to be impoverished due to health expenditures. The collected data were entered into the SPSS (version 16) statistical software and analyzed using descriptive statistic, Chi-square test, and logistic regression in backward method. The study results showed that 7.1% of the households (CI: 0.071±0.018) were impoverished because of healthcare expenditures. Besides, the households in the first quintile were more likely to be faced with poverty compared to those in the other quintiles (p<0.05). Being covered by health insurance did not affect the protection from poverty due to health costs. Moreover, the participants living in rural areas were faced with poverty more than those living in urban areas (p<0.05). It seems that health expenditure can be an economic shock for household in Shiraz and through spending on health a household may fall into poverty. As insurance had no effect on impoverishment, it implies that change in health insurance plans and ways of health financing is necessary.Bangladesh Med Res Counc Bull 2014; 40 (2): 58-62
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Bradley, Mark, Asa Bergman, Michelle Lee, Elizabeth Greene, and Suzanne Childress. "Predicting and Applying Differential Response Rates in Address-Based Sampling for a Household Travel Survey." Transportation Research Record: Journal of the Transportation Research Board 2526, no. 1 (January 2015): 119–25. http://dx.doi.org/10.3141/2526-13.
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In recent years, the primary sampling method used for household travel surveys has shifted steadily from random digit dial telephone contact to address-based sampling based on an initial contact by mail. One advantage in the use of address-based sampling is that researchers can control the geographic distribution of households that are invited to participate in the survey and can design a sampling plan that is based on publicly available data about the demographic and geographic distribution of households in the region. This paper describes how response rates from a previous survey were used to anticipate how response rates for a household travel survey for the Puget Sound Regional Council in Washington State would vary across census block groups as a function of the percentage of low-income households in those block groups. The anticipated response rates were used to vary the number of households invited to participate from each block group to obtain a more representative sample. An analysis of the resulting Puget Sound survey data estimated a model for predicting final response rates as a function of published population statistics for the block group level. In addition to income, block group factors found to be significant predictors were household size distribution, owner versus renter fraction, vehicle ownership distribution, and commute mode shares for the nonauto modes. The transferability of the method was tested with data from a subsequent household travel survey done in Anchorage, Alaska. A model based on Puget Sound data only was used to predict response rates in the Anchorage data with success.
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Golgher, Andre. "Multidimensional poverty in urban Brazil: income, assets and expenses." International Journal of Social Economics 43, no. 1 (December 31, 2015): 19–38. http://dx.doi.org/10.1108/ijse-06-2013-0140.
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Purpose – The purpose of this paper is to present deprivation in urban Brazil in a multidimensional perspective with dimensions related to household’s objective information, assets in the household, subjective evaluation concerning the dwelling and expenses. Design/methodology/approach – The author used factorial analysis applied to the Brazilian Household Budget Survey. Most dimensions showed a positive correlation with income, while for others it was not observed any significant difference between income ranges. Some types of deprivation specially touched low-income households, while other dimensions differentiated middle-income households, or even higher income households. The author applied a fuzzy perspective to define deprivation membership in each dimension with the use of a modified logistic function. The author observed that households with similar income faced different levels of deprivation in many dimensions. Findings – The author showed that there were significant differences in household’s expense preferences and profiles linked to these findings. Households with high levels of food deprivation relatively spend more on household’s rent, taxes and services, indicating that shelter and then food in the household are the very basic goods. Larger relative expenses with food in the household indicated higher levels of deprivation in all other dimensions, indicating that due to these higher food expenditures, the households could not overcome the deprivation in other dimensions. Households that spend more on smoke and gambling faced higher deprivation in most dimensions, suggesting different expenses priorities, less household oriented. Originality/value – To the best of the knowledge, this is the first attempt to link multidimensional deprivation and expenses profile for Brazilian data.
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Habyarimana, Faustin, and Shaun Ramroop . "Determinants of Poverty of Households: Semi parametric Analysis of Demographic and Health Survey Data from Rwanda." Journal of Economics and Behavioral Studies 7, no. 3(J) (June 30, 2015): 47–55. http://dx.doi.org/10.22610/jebs.v7i3(j).581.
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The main objective of this research is to identify the key determinants of poverty of household in Rwanda based on asset index and semi parametric modeling. The asset index for each household is established and thereafter the generalized additive mixed model is used to ascertain the key determinants of poverty of households in Rwanda. The semi parametric generalized additive mixed model allowed us to study the impact of nonlinear predictors as nonparametric and categorical predictors as parametric to the asset index. Using the Rwanda Demographic and Health Survey (2010), the characteristics of households and household heads are considered. Our findings show that the level of education, gender and age of household head, region (province), size of the household (number of household members) and place of residence (urban or rural) are significant predictors of poverty of households in Rwanda.
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Scheepers, Debbie, and Bernadene De Clercq. "Disaggregated South African household net wealth: A mixed methods approach." Journal of Economic and Financial Sciences 9, no. 3 (December 3, 2016): 874–902. http://dx.doi.org/10.4102/jef.v9i3.75.
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This article addresses the paucity of disaggregated household net wealth data in South Africa. A mixed methods approach was followed to develop and conduct a country-specific household net wealth measurement survey. A disaggregated household typology of assets and liabilities, based on international net wealth surveys, was developed. Focus group research was employed in the qualitative strand to finalise the survey. In the quantitative strand, disaggregated micro-level data estimates from 2 606 households were collected and the article presents the cursory findings. A comparison is drawn between the survey’s main asset and liability estimates with data estimates presented in the South African Reserve Bank’s household balance sheet. These estimates were constructed from macro-level data estimates and lack information on the disaggregated composition of household net wealth. Furthermore, the conceptual linkages and differences between the micro and macro data estimates are described. The manner in which differences in the concepts, construction methods and potential survey errors contributed to differences between the two sets of data estimates is also indicated. The aim of the research was to contribute to the field of household finances from the perspective of a developing country. Therefore, the process followed to construct and validate the survey instrument and data estimates could assist other developing countries to develop their own surveys. Disaggregated net wealth data estimates could assist policy-makers with the overview and management of a country’s household net wealth.
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Omotayo, Abiodun Olusola, Abeeb Babatunde Omotoso, Adebola Saidat Daud, Adebayo Isaiah Ogunniyi, and Kehinde Oluseyi Olagunju. "What Drives Households’ Payment for Waste Disposal and Recycling Behaviours? Empirical Evidence from South Africa’s General Household Survey." International Journal of Environmental Research and Public Health 17, no. 19 (October 1, 2020): 7188. http://dx.doi.org/10.3390/ijerph17197188.
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Safeguarding the environment and its citizens’ health remains one of the key policy priorities of the governments of many developing and emerging countries. Using the 2017 General Household Survey (GHS) dataset, this study examines the driving factors affecting households’ recycling behaviour and payment for waste disposal in South Africa. The methods of data analysis were based on descriptive statistics and a Bivariate Probit regression model. The descriptive statistics results indicate that there are 56.29% male-headed and 43.71% female headed households, with an average age of 49 years. In addition, the study shows that 89.97% of household heads had formal education with a mean monthly income of 11,099.07 ZAR/650.504 USD. The study also revealed that 22% of the households sampled had access to social grants. The results from the Bivariate Probit regression model show that household’s income, access to social grants, formal educational attainment and the age of the household were significant (p < 0.01) driving factors affecting households’ recycling behaviour and payment for waste disposal. The study concludes that the households’ socio-economic factors affect their recycling behaviour and willingness to pay for waste management in South Africa. Actions targeted at poverty alleviation and environmental sensitization programmes are key for facilitating environmental conservation behaviours of households in South Africa in order to achieve the environmental sustainability Sustainable Development Goal (SDG) target of the United Nations.
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Homaie Rad, Enayatollah, Mohammad Hajizadeh, Satar Rezaei, and Anita Reihanian. "Cigarette Smoking and Its Financial Burden among Iranian Households: Evidence from Household Income and Expenditures Survey." Journal of Research in Health Sciences 20, no. 4 (October 13, 2020): e00494-e00494. http://dx.doi.org/10.34172/jrhs.2020.28.
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Background: The financial burden of cigarette smoking on households’ budget is not well documented in Iran. We aimed to identify the determinants of cigarette consumption and its financial burden among households in Iran. Study design: A cross-sectional study. Methods: A total of 39,864 Iranian’s households from 31 provinces were included in the analysis. Data on sociodemographic and socioeconomic characteristics (age, sex, household size, education level, employment status, income and wealth index), living area, number of cigarettes smoked and cigarette expenditures for households were extracted from the 2016 Household Income and Expenditures Survey (HIES). Tobit model was used to identify the determinants of cigarette smoking frequency and expenditures among Iranian households. Results: The average number of cigarettes smoked and cigarettes expenditures by all household members was 85.25 cigarettes and US$ 2.64 per month. Living in urban areas, wealth index of households, household income, household size and low educational attainment of household members were positively associated with frequency and expenditures of cigarette smoking. Results also indicated increasing patterns in the number of cigarettes smoked and cigarettes expenditures from east to west of the country. East Azerbaijan, Hamadan, Markazi and Chaharmahal va Bakhtiari provinces had higher cigarette smoking frequency and expenditures in Iran. Conclusions: Tobacco control interventions in Iran should focus more on households living in urban areas and low-educated households. As the frequency of cigarette smoking was higher in the western region of Iran, comprehensive tobacco control policies should be adopted in western provinces.
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Lin, Liqiong, Weizhuo Wang, Christopher Gan, David A. Cohen, and Quang T. T. Nguyen. "Rural Credit Constraint and Informal Rural Credit Accessibility in China." Sustainability 11, no. 7 (April 1, 2019): 1935. http://dx.doi.org/10.3390/su11071935.
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This paper investigates the effects of rural households’ demographic characteristics on formal credit constraint, and explores the relationship between informal and formal lending in rural China. Using 2013 China’s Household Finance survey data, the authors apply probit regression models to investigate the effects of demographic factors on formal credit constraint and the household’s decision to borrow from informal credit sources. In addition, the endogenous switching regression model is applied to evaluate the impact of credit constraint on the welfare of rural farm households. The empirical evidence confirms that age, family size, annual household nonagricultural income, level of education, and history of informal borrowing have significant influence over credit constraint. Moreover, annual household nonagricultural income, the presence of children, borrowing from social networks and monthly communication expenses significantly impact rural households’ decision to utilise informal borrowing. Results from the endogenous switching regression model suggest that credit constraint by formal credit sources has no impact on household consumption.
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Cacnio, Faith Christian, and Joselito Basilio. "Insights on inflation expectations in the Philippines from a household survey." Philippine Review of Economics 59, no. 2 (December 2022): 81–110. http://dx.doi.org/10.37907/3erp2202d.
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The study contributes to the literature on expectations by providing insights on household expectations from an emerging market and inflation targeting country like the Philippines. Using the results of the Consumer Expectations Survey (CES), a quarterly household survey conducted by the Bangko Sentral ng Pilipinas (BSP), the study is the first to look at the characteristics and determinants of household inflation expectations in the Philippines at a granular level. Results show that survey-based household expectations in the country are not rational. Filipino households exhibit an upward bias in their forecast of future inflation and they tend to rely more on information about past inflation to form their expectations. Nonetheless, in recent years, households have started to incorporate information about future outcomes in their inflation expectations process. To determine the factors that drive household expectations in the Philippines, aggregated (i.e., time series) and disaggregated (i.e., pooled data) data from CES quarterly survey rounds between 2010 and 2020 are used on a standard inflation expectations model. Empirical results point to a significant effect of income conditions, perceptions on economic and financial conditions, the inflation target, and demographic factors (e.g., educational attainment, marital status) on the formation of household expectations in the Philippines. Based on the findings and observations, the study draws insights for central bank communication strategy, particularly in influencing household expectations.
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Scobee, Shari P., Michael DuRoss, and Edward C. Ratledge. "Development of Trip Production Rates for Synthesized Households." Transportation Research Record: Journal of the Transportation Research Board 1625, no. 1 (January 1998): 79–85. http://dx.doi.org/10.3141/1625-10.
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Survey nonresponse bias is an important consideration in the development of survey designs for transportation studies. Researchers at the University of Delaware have developed a technique for reducing the survey nonresponse, as well as the cost of the travel survey. The method involves obtaining complete household and person characteristics for each household member; however, detailed travel data are gathered for only one randomly selected household member. Although the University of Delaware survey technique provides multiple benefits with respect to survey response rates and costs, it presents complications for travel model developers, particularly with respect to the development of trip production models. Because the trip production models are typically developed at the household level, the person-level trip rates from such a survey need to be expanded to represent a household’s trip rates. A method is presented for generating synthesized household trip production rates by using the 1995/96 Delaware Household Travel Survey, which gathered travel information for only one household member.
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Zhang, Zhengjie, Jiahao Song, Caixia Yan, Dingde Xu, and Wei Wang. "Rural Household Differentiation and Poverty Vulnerability: An Empirical Analysis Based on the Field Survey in Hubei, China." International Journal of Environmental Research and Public Health 19, no. 8 (April 17, 2022): 4878. http://dx.doi.org/10.3390/ijerph19084878.
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Rural family differentiation is an important perspective to analyze farmers’ behavior and poverty. Based on the data of 1673 farm households from rural field survey in 2019 in Hubei Province of China, this paper examines the main influencing factors of farm household differentiation on farm household poverty vulnerability from the perspective of the sustainable livelihoods of farm households. On this basis, the contribution of each influencing factor to farm household poverty vulnerability is analysed using the regression decomposition method. The results of the study show that the variables of farm household differentiation have a significant impact on poverty vulnerability, and the net household income per capita, which reflect the vertical differentiation of farm households, and the proportion of non-farm labor, which reflects the horizontal differentiation of farm households. Both have a significant negative impact on the poverty vulnerability of farm households. The regression decomposition method shows that the proportion of non-farm labor force, which reflects the horizontal differentiation of farm households, has the highest contribution to the poverty vulnerability of farm households. Human capital, natural capital, social capital, and physical capital also influence the poverty vulnerability of farm households to a certain extent.
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Chi, Dr Ben, N. M. Fuseini, H. Halwiindi, J. Winston, C. D. M. Stoner, S. L. Martin, T. Kusanthan, R. Banda, S. Rathod, and J. S. A. Stringer. "Predictors and Outcomes Associated with Household Hunger in Lusaka, Zambia: Secondary Analysis of a Citywide Survey." Medical Journal of Zambia 45, no. 3 (November 21, 2018): 123–32. http://dx.doi.org/10.55320/mjz.45.3.143.
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Background: Food insecurity has important social and health consequences for affected individuals and households. We sought to measure one aspect of food insecurity—household hunger—and evaluated its possible association with household morbidity and mortality.
Methods: We analyzed data from the final two rounds of a repeat cross-sectional, population-based survey conducted in Lusaka Zambia (May and August 2011). Using the Household Hunger Scale, we categorized participating households into three groups using established convention in the public health literature: little to no hunger, moderate hunger, and severe hunger. We used multilevel logistic regression to investigate associations between household hunger and the following morbidities, adjusting for individual, household, and cluster characteristics: malaria, persistent cough, tuberculosis, diarrhea, hospitalization, and death.
Results: Overall, 90.0%, (95%CI: 88.1–91.7%) participating households were considered to have little to no household hunger; 9.8% (95%CI: 8.2–11.6%) reported moderate household hunger; and 0.2% (95%CI: 0.1–0.4%) reported severe household hunger. Marital status, functional status, education, employment, household member requiring nursing care, and household wealth index were associated with all levels of hunger. Adjusted for individual and household characteristics and sampling cluster, hunger was associated with malaria (OR:1.29, 95%CI:1.03–1.63 [mild] and OR:3.68, 95% CI:1.76 –13.74 [severe]), persistent cough (OR:1.64, 95%CI:1.13–2.38 [mild]),
tuberculosis (OR:2.24, 95%CI:1.45–3.46 [mild], OR:6.06; 95%CI:1.56–23.57 [severe]), and
hospitalization (OR:1.95; 95%CI:1.38–2.76 [mild]; OR:5.52; 95%CI:1.78-17.16 [severe]).Household hunger was not associated with death (p>0.05).
Conclusions: Household hunger was associated with a number of adverse health outcomes. Although further studies are needed, our findings suggest that programs to alleviate household hunger—an important aspect of food insecurity—could lead to measurable public health impacts.
LIST OF ABBREVIATIONS
DHS Demographic and Health Survey
HFIAS Household Food Insecurity Access Scale HHS Household Hunger Scale
HOH Head of household
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Sissoko, Penda, Gry Synnevag, and Jens B. Aune. "Effects of low-cost agricultural technology package on income, cereal surplus production, household expenditure, and food security in the drylands of Mali." AIMS Agriculture and Food 7, no. 1 (2022): 22–36. http://dx.doi.org/10.3934/agrfood.2022002.
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<abstract> <p>This study assessed the effects of introducing a technology package consisting of seed priming and microdosing of mineral fertilizer on sorghum and pearl millet yield, cereal production, net value of cereal production, household expenditure, adoption rate of technology and household food security in the millet and sorghum producing areas in Mopti, Segou and Koulikoro regions of Mali. Three different surveys were undertaken to collect the data during the period from 2013 to 2015. The first survey assessed the farmers practices (360 households), the second survey assessed production, household expenditure and food security in the households (54 households) and the third survey assessed the adoption rates of the technologies (108 households). The surplus cereal production was in average 1155 kg/household for adopting households while non-adopting households had a surplus of only 196 kg/household. The monetary surplus increased from 31.2 Euro for non-adopting households to 215.6 Euro for adopting households. Households using the package spent 167.8 Euro on health, children's education, and other necessities while non-adopting households spent only 29.5 Euro. Furthermore, households using the package spent 55.9 Euro on fertilizer against close to zero for non-adopting households. Finally, the number of food insecure months were significantly reduced from 3.57 months for the adopting households to 1.24 months for non-adopting households. The technology package initiated positive development pathways characterized by increased production and income, surplus grain production, investments in livelihood assets and yield-enhancing technologies and improved food security. This link from technology introduction to improved food security is very important from a development perspective, but there is a lack of research that clearly demonstrate this effect in the drylands of West Africa. Future interventions to ensure a more broad-based development should focus on continued investment in yield-enhancing technologies, diversification of production to ensure better access to high quality food, strengthening the role of women, and building institutions to support farmers' livelihood and agency.</p> </abstract>
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Bernard, Martin J. "Using Nationwide Personal Transportation Survey Data to Indicate Electric Vehicle Market Potential in Rural Areas." Transportation Research Record: Journal of the Transportation Research Board 1537, no. 1 (January 1996): 70–73. http://dx.doi.org/10.1177/0361198196153700110.
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The 1990 Nationwide Personal Transportation Survey included 10,381 rural households, that is, households that were not in metropolitan statistical areas and were in zip code areas with population densities of less than 386 persons/km2 (1,000 persons/mi2). An analysis of the survey data to determine how rural households use their household (nonfarm) vehicles and to describe the potential for some vehicles to be electric vehicles (EVs) is reported. A main step in the analysis is to aggregate the daily household trips by vehicle. The counterintuitive result is that rural household vehicle use in terms of kilometers per day is quite similar to that of metropolitan area households. Thus, the potential for rural households to acquire EVs is similar to that for metropolitan area households.
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Meyer, Bruce D., Wallace K. C. Mok, and James X. Sullivan. "Household Surveys in Crisis." Journal of Economic Perspectives 29, no. 4 (November 1, 2015): 199–226. http://dx.doi.org/10.1257/jep.29.4.199.
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Household surveys, one of the main innovations in social science research of the last century, are threatened by declining accuracy due to reduced cooperation of respondents. While many indicators of survey quality have steadily declined in recent decades, the literature has largely emphasized rising nonresponse rates rather than other potentially more important dimensions to the problem. We divide the problem into rising rates of nonresponse, imputation, and measurement error, documenting the rise in each of these threats to survey quality over the past three decades. A fundamental problem in assessing biases due to these problems in surveys is the lack of a benchmark or measure of truth, leading us to focus on the accuracy of the reporting of government transfers. We provide evidence from aggregate measures of transfer reporting as well as linked microdata. We discuss the relative importance of misreporting of program receipt and conditional amounts of benefits received, as well as some of the conjectured reasons for declining cooperation and for survey errors. We end by discussing ways to reduce the impact of the problem including the increased use of administrative data and the possibilities for combining administrative and survey data.
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Babovic, Marija, and Slobodan Cvejic. "Survival strategies of Serbian households." Sociologija 44, no. 2 (2002): 97–126. http://dx.doi.org/10.2298/soc0202097b.
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Concept of household strategies was firstly used in poverty surveys in Africa and Latin America, and lately developed in economic changes surveys in Western developed societies. Connecting the structure and action, macro and micro level of analysis and focusing on households, rather than individual as basic unit of analysis, the concept opened possibilities for better understanding of household economic behavior during social and economic changes. New developments concept experienced in numerous surveys in post-socialist as well as 'post-fordists' societies. The economic household strategies surveys were conducted in Serbia in two waves - in summer of 2000. and autumn of 2002. Comparative analysis of results has not show significant changes in socio-economic position of households. However, changes were evident in the field of action (economic strategies of households and individuals). Decreasing of passive and defensive strategies and increasing of pro-active, particularly working strategies were significant trends from survey.
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Azwardi, Azwardi, Hayu Faldun Widyasthika, Rosmiyati Chodijah Saleh, and Nazeli Adnan. "Household Food Security: Evidence From South Sumatera." JEJAK 12, no. 2 (December 27, 2019): 446–65. http://dx.doi.org/10.15294/jejak.v12i2.20264.
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This study aims to determine the phenomenon of food security in South Sumatra Province. Food security is calculated using Shortfall/Surplus Index and Head Count Ratio. Binary Logistic Regression method is used to determine factors affecting food security. This study obtains data from National Socio-Economic Survey on March 2017 regarding average number of calories consumed by household per day, socio-economic characteristics of household, and household heads in South Sumatra. The Survey used total sample of 9,752 households consisting of 3,099 urban households and 6,653 rural households. The results of the study shows that using 2,100 kcal standard limit, most of districts in South Sumatra have entered safe food security limit. However, they have not entered safe food security limit using 2,500 kcal standard limit. Factors that affect household food insecurity in South Sumatra Province are caused by the number of household members and the education of household heads.
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Hubrich, Stefan, Rico Wittwer, and Regine Gerike. "Household vs. individual survey practices – implications for household travel survey expenditures in Germany." Transportation Research Procedia 32 (2018): 404–15. http://dx.doi.org/10.1016/j.trpro.2018.10.061.
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Gilbertson, Greta, and Douglas T. Gurak. "Household Transitions in the Migrations of Dominicans and Colombians to New York." International Migration Review 26, no. 1 (March 1992): 22–45. http://dx.doi.org/10.1177/019791839202600102.
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Using life history survey data, we examined the correlates of change in the composition of Dominican and Colombian immigrant co-residential households at three points in time—prior to migration, just after migration and at the time of the survey. We found that there is considerable heterogeneity in the patterns of household transitions, although the majority of both Dominican and Colombian households at the time of the survey were nuclear family households. Dominican women tended to have made transitions into single-parent households by the time of the survey. Background and migration characteristics influence the pattern of household transitions, but fail to explain the ethnic and gender differences.
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Won, An Na, and Won Hwa Hong. "A Survey on Ownership of Home Appliances and Electric Energy Consumption Status According to the Number of Household Member." Applied Mechanics and Materials 672-674 (October 2014): 2165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.2165.
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With increasing trend of nuclear family, modern society is also showing a gradual increase in single households. Increase in single household leads to increased use of home appliances. Accordingly, the aim of this study was to examine ownership of electric home appliances (home appliance products that use electricity) and energy consumption status and to obtain implications for energy conservation.A survey was conducted / analyzed on 2,250 households, and the following results were obtained. First, ratio of home appliance ownership and number of appliances per household member were examined. Average number of home appliances was 10.6 for single households, 13.8 for 2-person households and 17.5 for households with 6 persons or more. Second, electric rate was found to be 46,000 won for single households and 114,000 won for households with 6 persons or more. Electric rate per member of household was rapidly reduced from <single household> to <4-person household>, showing about 50% conservation. In other words, increase in single households is regarded to have great impact on increase in energy consumption.
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Graber, Jessica E., Douglas Williams, and Jason Clark. "Comparability of in-person and web screening: Does mode affect what households report?" PLOS ONE 17, no. 10 (October 31, 2022): e0277017. http://dx.doi.org/10.1371/journal.pone.0277017.
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Household screening is common when information about characteristics of household members is needed for selection of survey respondents. When key characteristics have a low prevalence, or are oversampled, this can result in a large number of sampled households screened, many of which have no persons selected. For in-person surveys this can be inefficient and costly, especially in an environment of declining response. A multimode design using a mail, push-to-web approach is an attractive alternative due to lower cost and high internet penetration. However, little is known about the comparable data quality properties between in-person and web modes. While in-person screening is considered a gold standard approach, respondents may fail to report household members and interviewers may unintentionally screen out reluctant respondents. Similarly, those self-responding sometimes fail to report unrelated household members or young children. In this study we compared in-person and web screening in the National Health and Nutrition Examination Survey. Households were randomly selected to complete a self-administered web screener and subsequently be screened by an interviewer during an in-person visit. We report on the comparability of household characteristics between modes to determine if web screening provides data equivalent to in-person screening. We examine time between the web and in-person screening to see if true change can account for differences. In the presence of conflicting data, we examine selection criteria based on the screening responses to see how inaccuracies affect selection status, or if inaccuracies or person omissions are systematically related to a specific mode. Approximately 93% (80/86) of households agreed on selection status between the web and in-person modes. Household composition matched fully for 84% (72/86) of households. These results indicate that web screening is a viable option enumerating households in population surveys.
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Yang, Li Xia. "A Logit Model Based Study on the Influencing Factors on Farm Household’s Adoption of Soil Testing and Formula Fertilizing Technology: A Case of Four Towns." Applied Mechanics and Materials 675-677 (October 2014): 985–88. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.985.
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Based on the survey data collected from 208 farm households of Zhili, Balidian, Huanzhu and Baique, 4 towns of Wuxing district of Huzhou city in Taihu Basin, this paper quantitatively analyzed the influencing factors on farm household’s adoption behavior of soil testing and formula fertilizing technology (STFFT) by using Logit Model. The results showed: (1) The significant favorable influencing factors are household head’s education level, is he/she a farmer cooperative member, has he/she been trained (technically), Has he/she received instructive card of STFFT, and whether or not the household is the STFFT demonstration household; (2) While the high ratio of non-farm income level has a significant negative effect; (3) The household head’s age and multi-operation behavior, farm land scale, and fragmentation of land plots have not significant affection. Based these analysis some related incentive policies about the households’ adoption of STFFT were put forward.
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Pradyumna, Adithya, Mirko S. Winkler, Jürg Utzinger, and Andrea Farnham. "Association of Livestock Ownership and Household Dietary Quality: Results from a Cross-Sectional Survey from Rural India." International Journal of Environmental Research and Public Health 18, no. 11 (June 4, 2021): 6060. http://dx.doi.org/10.3390/ijerph18116060.
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Studies from India and several eastern African countries found that the impact of dairy animal ownership on household nutrition varied greatly, depending on the socio-geographic context. The purpose of this study was to examine the association between livestock ownership and household dietary quality in rural Kolar district, India. We collected data from a household survey in four study villages (n = all 195 households of the four villages) of Kolar district, applying a cross-sectional design. Kendall’s rank correlation coefficient was employed to determine the correlation between milk consumption and other dietary variables. Multivariable logistic regression was used to describe the relationship between dairy animal ownership and household milk consumption. Households owning dairy animals more often had access to irrigation (58.3% vs. 25.2%) and were less often woman-headed (2.4% vs. 22.5%). Household milk consumption was significantly correlated with consumption of vegetable variety, egg, and meat (all p-values < 0.05). After adjusting for multiple confounders, the odds ratio of milk consumption between dairy animal-owning households as compared to other households was 2.11 (95% confidence interval 0.85, 5.45). While dairy animal ownership was found to be associated with improved dietary quality, larger households were in a better position to adopt dairy animals, which, in turn, might contribute to better household nutrition.
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Romanach, Lygia, and Elisha Frederiks. "Understanding the Key Determinants of Residential Firewood Consumption in Australia: A Nationwide Household Survey." Energies 14, no. 20 (October 18, 2021): 6777. http://dx.doi.org/10.3390/en14206777.
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A range of energy sources are used by households across the globe, including electricity, gas, solar, and wood. While there is a large body of international research aimed at understanding household energy use in general, very few studies have focused on the specific topic of residential firewood consumption. In Australia, empirical research to investigate and quantify residential firewood consumption is scarce and outdated, despite the importance of such research for better understanding overall household energy costs and carbon emissions. Unlike other power sources, such as electricity, gas and solar, firewood consumption is not systematically monitored or measured in an objective way, thereby making it difficult to obtain accurate data on the amount of firewood consumed in the residential sector. To address this data gap, the current study used survey data from a sample of 4844 households (including 1168 firewood users) to explore what socio-demographic, dwelling-related and behavioural factors were important for predicting the amount of firewood consumed by Australian households. The results revealed that a range of variables—including geographical location, dwelling type, the number of wood-fired appliances per household, and behavioural factors such as the purpose, timing, frequency, and duration of firewood use—were key determinants of residential firewood consumption in Australia, as self-reported by households. Together, these findings underscore the value of measuring not only geographical and location-based factors in household surveys, but also a range of socio-demographic, dwelling-related, and behavioural variables. By doing so, self-report data collected through surveys is likely to better predict the amount of residential firewood consumption reported (or estimated) by households. Overall, this study makes an important and timely contribution to the literature by demonstrating how social science methods such as household surveys can help improve current estimates of residential firewood consumption used to inform government policy, planning, and decision-making for the future.
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Vijayan, Bevin, and Mala Ramanathan. "Prevalence and clustering of diarrhoea within households in India: some evidence from NFHS-4, 2015–16." Journal of Biosocial Science 53, no. 1 (March 4, 2020): 108–20. http://dx.doi.org/10.1017/s0021932020000073.
Full textAbstract:
AbstractDiarrhoeal disease is one of the major causes of morbidity and mortality in children and is usually measured at individual level. Shared household attributes, such as improved water supply and sanitation, expose those living in the same household to these same risk factors for diarrhoea. The occurrence of diarrhoea in two or more children in the same household is termed ‘diarrhoea clustering’. The aim of this study was to examine the role of improved water supply and sanitation in the occurrence of diarrhoea, and the clustering of diarrhoea in households, among under-five children in India. Data were taken from the fourth round of the National Family and Health Survey (NFHS-4), a nationally representative survey which interviewed 699,686 women from 601,509 households in the country. If any child was reported to have diarrhoea in a household in the 2 weeks preceding the survey, the household was designated a diarrhoeal household. Household clustering of diarrhoea was defined the occurrence of diarrhoea in more than one child in households with two or more children. The analysis was done at the household level separately for diarrhoeal households and clustering of diarrhoea in households. The presence of clustering was tested using a chi-squared test. The overall prevalences of diarrhoea and clustering of diarrhoea were examined using exogenous variables. Odds ratios, standardized to allow comparison across categories, were computed. The household prevalence of diarrhoea was 12% and that of clustering of diarrhoea was 2.4%. About 6.5% of households contributed 12.6% of the total diarrhoeal cases. Access to safe water and sanitation was shown to have a great impact on reducing diarrhoeal prevalence and clustering across different household groups. Safe water alone had a greater impact on reducing the prevalence in the absence of improved sanitation when compared with the presence of improved sanitation. It may be possible to reduce the prevalence of diarrhoea in households by targeting those households with more than one child in the under-five age group with the provision of safe water and improved sanitation.
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Ismah, Khairunnisa, Wan Abbas Zakaria, and Yaktiworo Indriani. "POLA KONSUMSI DAN KETAHANAN PANGAN RUMAH TANGGA NELAYAN DI DESA MAJA KECAMATAN KALIANDA KABUPATEN LAMPUNG SELATAN." Jurnal Ilmu-Ilmu Agribisnis 8, no. 1 (August 5, 2020): 145. http://dx.doi.org/10.23960/jiia.v8i1.4357.
Full textAbstract:
This research aimed to analyze consumption pattern, food security level, and factors that influence the consumption pattern of household fisherman marker. This research was conducted by survey method. Location of this research was determined purposively in Maja Village, Kalianda District, South LampungRegency. The amount of research samples of 40 fisherman labor with the respondents in the research were the heads of household and housewives.The data was collected in April-May 2018. Data analysis method used was quantitative analysis and multiple linear regression analysis. The consumption pattern was assessed by non-consecutively the Desirable Dietary Pattern (DDP) score based on the food recall of household consumption for 2x24 hours. The DDP score was calculated from the energy intake of each group of food consumed. The results showed that the number of types of food consumed by fisherman household was 10-13 kinds (62.5%) and the frequency of food consumed by fisherman household is rice. TheDesirable Dietary Pattern (DDP) score of fisherman household was 66.72. The level of food security of fishermanhousehold in Maja Village based on the results of cross classification between the level of energy sufficiency and share of food expenditure could be divided in four categories. There were11 households (27.5%) food resistant, 21 households (52.5%) less food, 4 households (10.0%) vulnerable food, and 4 households (10.0%) food insecure. The factors that influenced household’s consumption patterns at Maja Village were maternal age and household income.Key words: consumption patterns, fishing households, food security.
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Bamgboye, Elijah, Tayo Odusote, Iyabode Olusanmi, Joshua Akinyemi, Yussuf Bidemi, Ayo Adebowale, Ashaolu Gbenga, and Oladapo Ladipo. "Socio-economic status and hunger among orphans and vulnerable children households in Lagos State, Nigeria." African Health Sciences 20, no. 2 (July 22, 2020): 923–31. http://dx.doi.org/10.4314/ahs.v20i2.47.
Full textAbstract:
Background: HIV/AIDS has contributed to increasing orphans and vulnerable children in Nigeria. A measure of vulner- ability is household hunger.
Objective: To assess level of household hunger and associated factors among OVC households in Lagos State.
Methods: A cross-sectional survey of 1300 OVC households in 5 selected Local Government Areas. The LGAs were select- ed using the Household Vulnerability Assessment index. Data collection was by personal interview of households’ heads/ caregivers using a structured questionnaire capturing socio-demographic, household economic profile and food-related variables. A multivariate logit model was fitted to identify independent predictors of household hunger after adjusting for confounding variables.
Results: The population density was 5.1 and 52.8% were females. A larger proportion of females (84.6%) than males (78.3%) reported that they had no food to eat in the last four weeks prior the survey. Poor household economic status (OR=1.41, CI: 1.03-1.92), age and marital status of caregiver were independent predictors of household hunger. The odds of hunger increased with caregiver’s age; higher in households headed by never married (OR=3.99, CI: 1.15-13.89) and di- vorced/separated caregivers (OR=2.39, CI: 1.11-5.12).
Conclusion: OVC households experienced severe hunger. Household economic strengthening would be useful strategy to mitigate the nutrition challenges of OVC in Lagos state.
Keywords: Orphans; vulnerable; children; households food security; caregivers; economy; Nigeria.