Influence Of Household Characteristics Research Articles

Adolescents’ behavioral changes and preventive practices against COVID-19 in South Africa: The influence of household characteristics

Adolescents’ behavioral changes and preventive practices against COVID-19 in South Africa: The influence of household characteristics

The Influence of Household Characteristics, Income, and Technology Access on Household Food Security Post-COVID-19 Pandemic

Abstract The research was undertaken after synthesizing select findings from prior studies about the effects of COVID-19 on food security. However, it is noteworthy that certain limitations in the research have neglected to address the state of household food security post-COVID-19 pandemic. This scholarly aims to assess the food security situation of households after the COVID-19 outbreak by analyzing the influencing factors, such as age, education level of the household’s chief, number of dependents, income, and access to technology. The employed methodology is a quantitative research strategy that utilizes logistic regression analysis. The study included a sample of 30 households in Pangkajene Kepulauan Regency. The findings indicate that the -2 log-likelihood score was 68.742, less than the Chi-square table value of 70.52. Therefore, it can be concluded that the model met the test criteria for the inclusion of variable X. The Nagelkerke R square coefficient of determination is 88%, indicating that the independent variables exert a statistically significant impact on the dependent variable, namely food security. Partially, education, income, and access to technology notably impact food security. This study has optimistic possibilities for making policy recommendations that governments can use in addressing the global food crisis post-pandemic COVID-19.

The influence of household characteristics on the purchase of clean cars. The case of Spain

This paper determines the socioeconomic characteristics of Spanish households that use clean cars, with the aim of identifying how these characteristics influence the market penetration of these vehicles. This study is one of the few in the literature that analyses the characteristics of car users based on a broad sample of data, that is representative of 11.5 million households. The results allow us to identify socioeconomic challenges and opportunities regarding the goal of replacing combustion vehicles with clean vehicles. We estimate a logit model finding that high-income households are 29.3% more likely to use a clean vehicle than medium–low-income households. On the contrary, the gender and age of the household’s main breadwinner present opportunities: if he is a male, it is more likely to use clean vehicles than if she is a woman, and households whose main breadwinner is over 55 or under 30 are more likely to use it. These results provide guidelines for a better design of public policies aimed at decarbonizing the transport sector through the replacement of conventional vehicles by clean ones. To do so it is important to consider the features of the social reality in which that objective is to be achieved.

Vegetables, Potatoes and Their Products as Sources of Energy and Nutrients to the Average Diet in Poland.

The aim of our study was to analyse vegetables, potatoes and their products as sources of energy and nutrients in the average diet in Poland. Representative data of the 2016 Household Budget Survey from 36,886 households were used. This is the largest study sample in Poland, so we generalized the conclusions to the whole population using the statement ‘average diet’. We analysed three main product groups: vegetables, vegetable products, and potatoes and potatoes products, dividing them into 14 subgroups (e.g., tomatoes, cabbage, carrots, other vegetables, and mushrooms). The percentages of energy, protein, carbohydrates, total fat, nine vitamins (thiamine, riboflavin, niacin, vitamin B6, folate, vitamin C, vitamin A, vitamin D, and vitamin E), seven minerals (calcium, phosphorus, sodium, potassium, iron, magnesium and zinc), and fibre from the analysed food subgroups are presented. Additionally, the influence of household characteristics on the supply of energy and nutrients from each subgroup of vegetables, potatoes, and their products was evaluated using cluster analysis. In the analysis, R programme and Kohonen neural networks were applied. Our study showed that vegetables, potatoes, and their products provide 7.3% of daily dietary energy supply. Vegetables contribute more than 20% of the supply of six nutrients: vitamin C (51.8%), potassium (32.5%), folate (31.0%), vitamin A (30.6%), vitamin B6 (27.8%), and magnesium (20.2%), as well as fibre (31.8%). Cluster analysis distinguished three clusters that differed in nutritional supply from vegetables, potatoes, and their products. Educational level, income measured by quintile groups, village size, socio-economic characteristics, urbanization degree, and land use were the most important factors determining differences between clusters.

Pengaruh Karakteristik Rumah Tangga Terhadap Tingkat Kemiskinan Masyarakat Sekitar Mangrove (Kasus Di Desa Sidodadi Kecamatan Teluk Pandan Kabupaten Pesawaran)

The mangrove forest ecosystem is one of the coastal resources that give an important role in social, economic and ecological aspects. In fact, there are many coastal communities in poverty conditions. This study intended to analyze household poverty line and influence of household characteristics on poverty line. This study has conducted from January to March 2015. Determination of respondents was done in simple random sampling and was obtained 71 respondents. Data collection method was used structural interview to respondents. The results showed that partly of communities were categories in the poverty line. Poverty line was not affected by age, work types, health, ethnic and houses condition. Household characteristics that have an influence on the poverty line were education, income, number of working family members and houses facilities. Households have less alternative source of income from mangrove forests caused by lack of knowledge about utilization of non timber forest products from the mangrove. Keywords: Household characteristics, mangrove, poverty line

Influence of Household Characteristics on Food Security Status of Smallholder Farmers in Kilifi Sub-County, Kenya

Influence of Household Characteristics on Food Security Status of Smallholder Farmers in Kilifi Sub-County, Kenya

Does Economic Vulnerability Depend on Place of Residence? Asset Poverty across Metropolitan and Nonmetropolitan Areas

This paper uses PSID data for 1989, 1994, and 1999 to examine why some U.S. households are asset poor, i.e., why households have insufficient resources to invest or to sustain household members at a basic level during times of economic disruption. The study contributes to an improved understanding of asset poverty’s correlates by examining the influence of place of residence; the extant literature has focused on individual-level explanations. We estimate a random-effects logistic model of the probability that an individual is asset poor at a given point in time as a function of household (e.g., gender and race of the head, family structure) and place (region and metropolitan or nonmetropolitan county) variables. The central finding of the paper is that place of residence is an important determinant of asset poverty, above and beyond the influence of household characteristics. We find that living in a central metropolitan county and in a nonmetropolitan area is associated with a higher risk of being asset poor, all else being equal.

The Constraints on Minority Housing Choices, New York City 1978-1987

This study uses a multivariate analysis to evaluate the housing and neighborhood characteristics that predict the residential choices made by non-Hispanic white, non-Hispanic black, Puerto Rican, and other Hispanic mover households in New York City from 1978 to 1987. This study evaluates minority housing choices in a multigroup context, rather than in a two-group context that implicitly assumes that minority groups compete for housing with only whites. After the influence of household characteristics is controlled, the results show that indicators of low-quality housing and poor neighborhood conditions significantly increase the likelihood that the household that moves in is a minority one, most likely Puerto Rican. Moreover, location in an area dominated by a particular minority group significantly increases the chance that the housing unit is occupied by a household belonging to that same group. By constraining minority housing choices, housing market segmentation effectively predetermines the types of housing units and neighborhoods that are available to different groups, and thus maintains racially and ethnically separate neighborhoods.

Tenure Choice in the Dutch Housing Market

In this paper, tenure choice in complex housing markets is examined, that is, in markets with more than a simple choice between own and rent. The paper has both substantive and technical foci. The substantive focus is to extend the authors' research on the links between housing and mobility and to provide detailed information on the way in which dwelling choices are made after the decision to relocate. The technical focus is to continue the authors' concern with building robust models of urban processes. The technical concerns are focused on special forms of automatic interaction detection and dummy variable multiple regression to estimate the influence of household characteristics and previous housing situation on dwelling choice. The data used in the analysis are part of a large sample taken in 1981 of all Dutch households. The automatic interaction detection method is used as a form of exploratory data analysis to identify the underlying ‘structure’ in the data. The results are used as input to the dummy regression process, which, in combination with the proportional reduction in uncertainty measures, establishes the importance of income and the role of regional variations, age, and type of house as major predictors of tenure choice. A main conclusion from the research is that, even though income is the most important predictor, age, size of family, type of house, and price also affect tenure choice. Even more important is the conclusion that it is essential to do separate analyses for separate tenures.

Household Characteristics and Agrarian Innovation Adoption in North-West Portugal

The influence of household characteristics on the adoption of a selection of agrarian innovations is investigated in Entre-Douro e Minho. At the regional scale it appears that younger, better educated heads of household who have farmed for all of their lives, on large holdings producing primarily for the market are the most likely to adopt new agricultural equipment and techniques. However, there are great differences between villages within the region, and two types of farm economy are revealed, the one subsistence and the other commercial. In neither of these are the generalizations made at the regional scale appropriate. Investigation of the structure of innovation adoption through time reveals the complex nature of structural change in Portuguese agriculture.