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This study tests the first two tenets of the fundamental causes theory – that socioeconomic status influences a variety of risk factors for poor health and that it affects multiple health outcomes – by examining the associations between adverse socioeconomic circumstances and five measures of health.

We employ bivariate and logistic regression analyses of data from the Centers Disease Control and Prevention 2011 Behavioral Risk Factor Surveillance Survey (BRFSS) to test the individual and cumulative associations between three measures of socioeconomic position and five measures of health risk factors and outcomes.

The analysis demonstrates support for the fundamental causes theory, indicating that measures of adverse socioeconomic conditions have independent and cumulative associations with multiple health outcomes and risk factors among U.S. adults aged 18–64.

The findings of this chapter are generalizable to adults aged 18–64 living in the United States and may not apply to individuals living outside the United States, older Americans, and children.

Adverse socioeconomic circumstances are not only associated with self-rated health but are also associated with the two leading causes of death in the United States (cancer and heart disease) and risk factors that contribute to these causes of death (smoking and high blood pressure). Improving access to socioeconomic resources is critical to reducing health disparities in leading causes of death and health risk factors in the United States.

The purpose of this paper is to examine the extent to which variations in gender, socioeconomic and academic background influence real estate students’ academic performance in Nigeria.

Data for the study were collected using self-administered questionnaire, served on final year real estate students in two of the three Federal universities offering real estate as a course in Southwestern Nigeria. Data collected were analyzed using mean, frequency count, percentages, independent t-test, correlation and analysis of variance.

The result of the study suggests there is no statistically significant difference in the academic performance of Nigerian real estate students based on gender and socioeconomic background.

The study has been limited to the sensitivity of either gender to possibly constraining socioeconomic and academic factors that might have served as barriers, especially among female students, in achieving outstanding academic performance.

This paper presents one of the few attempts examining gender and socioeconomic perspectives to factors influencing real estate students’ academic performance, especially from the perception of an emerging African country like Nigeria.

This study examined the secular trends in socioeconomic inequality in obesity during the period 1971–1994 in the United States. We analyzed the national representative data collected from three waves of the National Health and Nutrition Examination Survey (NHANES) conducted between those years. The Concentration Index was calculated to measure the socioeconomic inequality in obesity across gender, age, and ethnic groups in each survey period. In general, socioeconomic inequality in obesity was reduced between the 1970s and 1990s in women and black men, although the trend was not statistically significant for black women and was stable in white men. Our results indicate that, first, the association between obesity and socioeconomic status (SES) weakened over time, and second, SES inequality was not an important contributor to the dramatic increase in the prevalence of obesity in the United States. Our findings suggest that other social and environmental factors, which have influenced changes in people’s lifestyle, might better explain the increasing overweight problem in the United States. Effective intervention efforts for the prevention and management of obesity should target all SES groups from a population perspective.

Social scientists often speculate that both acculturation and socioeconomic status are factors that may explain differences in the body weight between Mexican Americans and whites and between Mexican Americans and Mexican immigrants, yet prior research has not explicitly theorized and tested the pathways that lead both of these upstream factors to contribute to ethnic/nativity disparities in weight. We make this contribution to the literature by developing a conceptual model drawing from Glass and McAtee’s (2006) risk regulation framework. We test this model by analyzing data from the 1999–2012 National Health and Nutrition Examination Survey (NHANES). Our conceptual model treats acculturation and socioeconomic status as risk regulators, or social factors that place individuals in positions where they are at risk for health risk behaviors that negatively influence health outcomes. We specifically argue that acculturation and low socioeconomic status contribute to less healthy diets, lower physical activity, and chronic stress, which then increases the risk of weight gain. We further contend that pathways from ethnicity/nativity and through acculturation and socioeconomic status likely explain disparities in weight gain between Mexican Americans and whites and between Mexican immigrants and whites. Study results largely support our conceptual model and have implications for thinking about solutions for reducing ethnic/nativity disparities in weight.

The purpose of this paper is to investigate how socioeconomic status and demographic factors were associated with child malnutrition as well as how these factors accounted for socioeconomic inequality of child malnutrition in Bangladesh during 2007-2011.

Data of this study come from two cross-sectional rounds (2007 and 2011) of the Bangladesh Demographic and Health Survey. This paper uses ordinary least square models to estimate the correlates of child malnutrition. The study further uses the concentration curve and the concentration index to estimate socioeconomic inequality of child malnutrition in Bangladesh. Finally, the decomposition method is used to explain socioeconomic inequality of child malnutrition in the study period.

Regression analysis indicates that child’s age, breast feeding, child’s birth order, the number of under-five child in the household, household wealth and parental education were strongly correlated with child malnutrition in Bangladesh. This study finds that absolute level of child malnourishment slightly decreased between 2007 and 2011, but socioeconomic inequality increased during this period. Children from the poorest household endured the burden of malnourishment more than those from the wealthiest households. The level of inequality also increased among the rural children, although it remained stagnant among the urban children. Decomposition analysis highlights that parental education had a significant negative relation with the average level of malnutrition, but its role was primarily centred among children from wealthier households.

An approach linking the ministry of health and education with other ministries may speed up the reduction of inequalities in social determinants of childhood undernourishment. Most importantly, there is a need for comprehensive government policies to reduce growing economic inequality and increase the relative income of the poor in Bangladesh.

This study is the first of its kind to apply the decomposition method to explain the socioeconomic inequality of child malnutrition in Bangladesh. This paper presents an enriched understanding of socioeconomic inequality of child malnutrition in Bangladesh during 2007-2011.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

The purpose of this paper is to identify and analyze indicators for measuring residents’ level of social and physical vulnerability to human-induced disasters in disaster-prone communities of Lagos, Nigeria.

The study adopted the quantitative research method. Questionnaires were administered to household heads in three disaster-prone communities of Lagos, Nigeria. Using systematic random sampling technique, household heads’ opinions were sampled in 10 per cent of the buildings. This effort culminated in the sampling of 288 household heads in the three communities.

The study identified flood, fire outbreak and environmental pollution as the most prevalence disasters in the communities. State of infrastructure, housing conditions and residents’ socioeconomic characteristics were identified as the major factors influencing residents’ level of vulnerability to disasters in the communities.

The study could be strengthened by looking at other disaster-prone communities in Nigeria with different cultural and political settings. Hence, the view presented in this paper may not be considered generalizable to other parts of the country with different cultural settings.

To build resilient communities in cities of developing countries, the paper of this nature is important to determine factors influencing residents’ level of vulnerability to disasters. This will aid in strengthening community-disaster preparedness in these countries.

Farmers all over the country have been exposed to various adaptation strategies to climate change. The adaptation options however focus too closely on technical skills and technologies and fail to address critical social factors such as culture, beliefs and values that influence the adoption and effective implementation of new adaptation technologies, skills and capacity. This paper aims to assess the socioeconomic factors influencing farmers’ specific adaptive strategies to climate change in Pwalugu and Balungu communities in the Talensi district of the Upper East Region of Ghana. This study used purposive sampling technique to select the study communities, whereas simple random sampling technique was used to select a total of 100 respondents from the selected communities. Questionnaires, key informant interviews and focus group discussions were used in collecting data from respondents. This study used detailed statistical test to analyze the data, and the results are presented in the form of figures and tables. This study highlights the legal and institutional context which must be adopted for effective response to climate change impacts in rural communities in Northern Ghana. It also recommends that government and relevant stakeholders should collaborate with financial institutions to ensure that funds are readily available to farmers to enable them to effectively adapt to climate change as well as provide training/workshop programs to farmers to enhance their capacity in planning and implementing effective strategies to climate change.

This study used the integrated methodological approach where quantitative methods were combined with appropriate qualitative methods. According to Sandelowski (2000), this method ensures reliability (the extents to which results are consistent over time) and validity (the means of which measurements are accurate) of the research. A combination of participatory methods, including key informant interviews, household questionnaire surveys and focus-group discussions were used, allowing local people the opportunity to participate by sharing their experiences and knowledge to outline possible solutions to the problem at hand. Multiple methods (Yeasmin and Rahman, 2012) are good at reducing the inadequacies of a single method. Cross-sectional study was used in designing the research. Variables were measured or determined at the same period in a given population. This method allowed the assessment of practices, attitudes, knowledge and beliefs of a population in relation to a particular event or phenomenon (Olsen and George, 2014).

The findings of this study revealed farming as the major occupation in the two communities with males being dominant. Diverse livelihood activities such as fishing, animal/poultry rearing, firewood/charcoal production, hunting and driving were other activities respondents engaged to earn a living. In terms of institutional arrangements, avoidance of bush burning and tree felling were the norms influencing decision-making in the two communities. Fear of being punished, animals feeding on some of the grasses, trees inducing rainfall as well as benefits respondents get from trees were the reasons these norms were adhered to in the study area. Access to land, gender dynamics and finance were identified as the socioeconomic factors in the study area. High demands by landowners, last minute change of mind by landowners, limited fertile lands, lack of money to acquire lands, behavior of tenants, number of acres required and lands far from water bodies were the challenges associated with acquiring land in the communities. Access to finance influenced respondents’ ability to acquire fertile lands, lands closer to water bodies and any number of acres of their choice. Gender however impeded women adaptation strategies to climate change. Women were not allowed to own land and other property in the form of animals simply because they are seen as migrants and they do not know the history of the land.

This is a master’s thesis project. This paper shows the socioeconomic factors, which are influencing farmers’ specific adaptation to climate change in the Talensi district of Ghana.

This study aims to investigate the effects of environmental risk perception on the evaluation of socioeconomic development and subjective well-being in China.

A questionnaire survey was conducted, and data were collected from 408 participants of four major universities and government organizations in Changsha, China. Structural equation modeling (SEM) was used to analyze the collected data and to test the hypotheses with regard to the relationship among latent variables. Bayesian method was used as the statistical inference procedure.

Results show that environmental risk perception has a direct negative influence on perceived socioeconomic development and on subjective total well-being (i.e. both hedonic and eudaimonic well-being). The perceived socioeconomic development has a direct positive effect on the subjective total well-being; thus, it plays a partial mediation role between environmental risk perception and subjective total well-being.

Findings suggest that the environment protection act of the government and their contribution to socioeconomic development will significantly affect the total well-being of people. The empirical analysis is based on survey data; thus, this study may suffer the common problems of questionnaire survey.

Promoting pro-environment and health behaviors is important in developing a happy society.

This study demonstrates a significant negative effect of environmental risk perception on the total well-being of people according to SEM approach. This study determines two independent paths for government and policy makers to increase the total well-being of people in China, namely, increasing socioeconomic value to people and controlling and reducing environmental threats.

Financial inclusion in Peru has been addressed through coverage, quality of financial services, movement of transactions, and service points. The purpose of this chapter is to evaluate for the department of Ancash, Peru, the link between financial inclusion and its socioeconomic factors. Socioeconomic variables and financial inclusion of the Ancash department of the National Household Survey are taken as indicators, later contrasted through the logit model, with the financial inclusion variable being the explained variable.

There is evidence of positive and negative relationships between financial inclusion and socioeconomic variables; these are important components for planning financial inclusion. Raising the levels of formal employment, the educational level and considering the area of residence would be a strategy to generate a dynamic of inclusion in the department of Ancash.