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Although the link between socioeconomic deprivation and health status has been identified by many researchers, not much attention has been paid to the intergenerational effect of poverty on physical and psychological health status. The purpose of this paper is to investigate the effects of childhood deprivation on health at the later stages of the working age.

Data for individuals aged between 50 and 65 in six European countries are collected using purpose build questionnaires. The dataset provides information on issues such as physical and mental health status, past working experiences, socioeconomic and occupational background, incidence of diseases and sense of well‐being. Ordinary least squares (OLS) and ordered logit models are utilised to estimate the effect of childhood deprivation on health status indices. Logit models are also used to investigate the effects of childhood deprivation on the likelihood of an individual suffering from specific disease.

There is a consistent and significant negative effect of childhood deprivation on the overall health profile at later adulthood. For instance, for each additional unit of the childhood deprivation index, the index of the mobility status and physical health status in later adulthood decrease by 0.19 and 0.28, respectively, the index of the psychological health decrease by almost 0.41 and the odds of exhibiting better self‐assessed health decrease by a factor of 0.86 (all p‐values are <0.01). Similar negative effects of childhood deprivation on the likelihood of an individual suffering from a specific medical condition are unearthed.

It is shown that childhood socioeconomic deprivation has long lasting detrimental effects on the health of individuals that are observable at the later ages of working life. Hence, the relationship between childhood socioeconomic deprivation and adult health should be an important factor in social policy and health care planning in an era of aging populations.

Broom production and marketing is a local business industry operated by women in Nigeria. This activity serves not only as a source of livelihood to women but also has created job opportunities for the teeming unemployed persons in the rural areas. This paper aims to examine socioeconomic effects of small-scale women businesses in broom production and marketing industry in Nigeria with a view to analyze small-scale women businesses in Igbo Eze North District of Nigeria.

New economic theory was used to guide the study. The study adopted a quantitative research design comprising of semi-structured interviews, field observations, reference to relevant literature and a questionnaire survey of 340 female households engaged in broom production and marketing from fifteen villages. This sample size was selected using purposive sampling technique and Yamane formula. Frequencies and Spearman rank correlation were used to analyze the data.

The study found that broom production and marketing have an effect on the socioeconomic development of the people. The study found a positive relationship between broom production and marketing and income generated, education and occupation in the study area. This study concluded by suggesting that broom production in the study area should be mechanized to improve the quality and quantity of broom produced in the area.

This study has shown that Nigerian women have good potentials for entrepreneurship. Both the society and the government authorities should work together in supporting female ventures in Nigeria.

The paper empirically has shown the socioeconomic effects of small-scale women businesses in broom production and marketing on local household of Igbo Eze North District of Nigeria. This study stands as the first in Nigeria to consider the effects of broom production and marketing and how women in this part of Nigeria have used it to create job opportunities and opportunities of income for themselves and their families.

This research aims to identify Brazil's socioeconomic vulnerability to wicked multi-problems arising from coronavirus disease 2019 (COVID-19) (2019–2020), from the most extensive (∼ 3,000 km) oil spill in tropical oceans (2019/2020) and from the highest rate of wildfires in the last decade.

To this end, the authors measured the socioeconomic vulnerabilities of the 27 Brazilian states to these multi-problems (COVID-19 + Oil Spill + wildFire), considering the effects of these events individually and together. In addition, the authors calculated the vulnerability indices using two variables: production value and number of jobs created by an economic activity.

Results show the states of São Paulo, Minas Gerais, and Rio de Janeiro as the most susceptible, with a potential loss of 74.2% in production value and 47% in active employment relationships, caused by these overlapping events in time. The results also demonstrate that the country has failed in the coordination and management of these events (separately and jointly), showing difficulties especially in the stages of immediate response and recovery.

Regarding its contributions, this paper innovates by establishing an unprecedented overlap of wicked problems, linking this concept to the analysis of socioeconomic vulnerability of the affected communities, through a model that applies to other regions worldwide.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2021-0536

This study, based on data from the National Survey of Families and Households, confirms normative preference for nuclear households across all cohorts and racial/ethnic groups throughout this century. However, a noteworthy minority (about 30%) did live with grandparents at some time during their childhood. Living with grandparents as well as having a grandparent live in one's parental household were somewhat more prevalent during the 30's and 40's, indicating that extended households may have been formed in response to the Depression and especially World War II. There also is a significant effect of nuclear family structure: living arrangements with grandparents predominate among those who did not live with both parents at some time during their childhood. The data also suggest that it is important to differentiate between grandparental living arrangements that are oriented toward the care of the grandchildren and those arrangements that imply care for the grandparent: the former arrangement predominates among Blacks, whereas the latter is more common among Whites. During the past decade there has been increased interest in extended family living arrangements and particularly in households including grandparents and/or grandchildren. This interest reflects several demographic trends during the latter part of this century, especially increases in divorce and in parental problems (drugs, AIDS) that preclude parents from taking care of their own children as well as increases in longevity and in the survival of frail elderly, many of whom come to live with their adult children. Census data offer information on the prevalence of extended family arrangements at any one point in time, but they are insufficient to estimate a person's lifetime “risk” of living with grandparents and provide only limited information on the duration of such living arrangements. Data from the National Survey of Families and Households (NSFH) include information not only on whether individuals ever lived with their grandparents but also on the type and the duration of such arrangements. Based on this data set, this article assesses trends in living arrangements with grandparents, and variations in these trends by race and childhood family structure.

Given the complexity of inclusive business (IB) to combine social contribution and business sustainability, companies make strategic choices. One multinational corporation (MNC) avoided interconnections with villagers and used only market-based relations with stimulants and incentives in the market. Another one delegated management completely to local partners, succeeding in stimulating the poor’s self-initiated economic activities. MNCs seem to have difficulties in handling institutional interconnections. In such cases, market-based relations or delegating management to the local partners were found to be highly effective for covering missing capabilities. One foreign NGO, despite its well-developed institutional interconnections with the locals, is struggling to develop markets for its social enterprises. In contrast, one local trust successfully cooperated with many local partners, appealing to local institutions (values and beliefs). Also, poor farmers felt the social contributions of two local companies by being incorporated into the companies’ supply chains backed by their corporate social responsibility (CSR) orientations and activities. Hence, both foreign and domestic organizations seem to succeed in IB by embedding their projects to their original institutions and developing diverse mechanisms to compensate for missing capabilities. One exception is a local company which successfully coordinated MNCs’ CSR activities, local communities, and governments. However, its success is owing to governmental regulation for CSR contribution. In general, though restricted by institutional backgrounds and business orientations, each case tried to create a fit between business models and its contingencies, achieve scale (at the level of communities, nations, or the global market) and business sustainability, and generate socioeconomic effects.

Recently, multidimensional aspects of poverty has been increasingly focused on which includes education, economy and health, while access to modern energy such as stable electricity is also one of the possible solution; thus, this article aims to divulge the relation between access to electricity and progression in socioeconomic status in urban and rural areas of Nigeria in an attempt to propose a sustainable framework for access to electricity.

Demographic and health survey data are collected using four categories of model of questionnaires. A standard questionnaire was designed to gather information on features of the household's dwelling element and attributes of visitors and usual residents between the 2018 period. Biomarker questionnaire was used to gather biomarker data on men, women and children. Logistic model estimation technique was employed to estimate the socioeconomic factors affecting access to electricity in Nigeria.

These studies discovered that there are diverse set of factors affecting access to electricity in Nigeria especially in the rural areas. However, respondent residing in rural areas are still largely deprived access to electricity; most importantly, households with no access to electricity are more likely to use self-generating sets as revealed. Additionally, empirical findings indicated that the higher the level of your education and wealth, the higher the likelihood of having access to electricity in Nigeria. These factors included political will to connect the rural areas to the national grid, development of other infrastructures in those deprived areas and others.

The problem confronting access to electricity in Nigeria has three components. The first is the significance of those deprived access to electricity in the rural areas and the physical resources needed to connect them to the national grid. The second is the political willingness of the government to have equitable distribution of public goods evenly between rural and urban areas especially on electricity access which will go a long way in reducing poverty in Nigeria. The third is lack of robust national development plans and strategy to tackle the problems facing electricity access in Nigeria.

As the rate of socioeconomic status/development increases, access to electricity is anticipated to rise up in Nigeria.

The findings can be used by the policy makers to address problems facing access to electricity in Nigeria.

The purpose of this is study is to identify sources of demand growth for apparel in the US based on consumer demographic profiles, regions, and product characteristics.

A two‐step procedure was utilized to model, estimate, and analyze purchasing decision and consumer demand for nine apparel products (male shirts, shorts, jeans and slacks and female slacks, skirts, shorts, dresses and jeans). This study is based on a survey conducted by the American shoppers' panel, which collects consumption data of various garments, socioeconomic profiles, and product characteristics.

The results indicate that purchase decisions are determined by garments' own prices, age, female employment, gender, regions, and the presence of children. The study also shows evidence that the effect of product‐specific pricing strategies would be limited to the targeted products and the origin of the product has minimal effect on consumer expenditures on apparel.

This study is one of the few that have used disaggregated apparel products and detailed demographic factors, thus has clear marketing implications and can be useful to the apparel industry.

Racial and ethnic minorities utilize less healthcare than their similarly situated white counterparts in the United States, resulting in speculation that these actions may stem in part from less desire for care. In order to adequately understand the role of care-seeking for racial and ethnic disparities in healthcare, we must fully and systematically consider the complex set of social factors that influence healthcare seeking and use.

Data for this study come from a 2005 national survey of community-dwelling Medicare beneficiaries (N = 2,138). We examine racial and ethnic variation in intentions to seek care, grounding our analyses in the behavioral model of healthcare utilization. Our analysis consists of a series of nested multivariate logistic regression models that follow the sequencing of the behavioral model while including additional social factors.

We find that Latino, Black, and Native American older adults express greater preferences for seeking healthcare compared to whites. Worrying about one’s health, having skepticism toward doctors in general, and living in a small city rather than a Metropolitan Area, but not health need, socioeconomic status, or healthcare system characteristics, explain some of the racial and ethnic variation in care-seeking preferences. Overall, we show that even after comprehensively accounting for factors known to influence disparities in utilization, elderly racial and ethnic minorities express greater desire to seek care than whites.

We suggest that future research examine social factors such as unmeasured wealth differences, cultural frameworks, and role identities in healthcare interactions in order to understand differences in care-seeking and, importantly, the relationship between care-seeking and disparities in utilization.

This study represents a systematic analysis of the ways individual, social, and structural context may account for racial and ethnic differences in seeking medical care. We build on healthcare seeking literature by including more comprehensive measures of social relationships, healthcare and system-level characteristics, and exploring a wide variety of health beliefs and expectations. Further, our study investigates care seeking among multiple understudied racial and ethnic groups. We find that racial and ethnic minorities are more likely to say they would seek healthcare than whites, suggesting that guidelines promoting the elicitation and understanding of patient preferences in the context of the clinical interaction is an important step toward reducing utilization disparities. These findings also underscore the notion that health policy should go further to address the broader social factors relating to care-seeking in the first place.

This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for student learning. Classroom compositions of peers can also influence student learning.

A literature review was conducted on the use of data-driven decision-making in the rostering process. The review addressed the merits of using various quantitative metrics in the rostering process.

Findings revealed that, despite often being purposeful about rostering, school leaders and staffs have generally not engaged in data-driven decision-making in creating class rosters. Using data-driven rostering may have benefits, such as limiting the questionable practice of assigning the least effective teachers in the school to the youngest or lowest performing students. School leaders and staffs may also work to minimize negative peer effects due to concentrating low-achieving, low-income, or disruptive students in any one class. Any data-driven system used in rostering, however, would need to be adequately complex to account for multiple influences on student learning. Based on the research reviewed, quantitative data alone may not be sufficient for effective rostering decisions.

Given the rich data available to school leaders and staffs, data-driven decision-making could inform rostering and contribute to more efficacious and equitable classroom assignments.

This article is the first to summarize relevant research across multiple bodies of literature on the opportunities for and challenges of using data-driven decision-making in creating class rosters.

Coastal zone ecological restoration project is of great significance to alleviate marine ecological degradation. Evaluating the effect of coastal ecological restoration projects and identifying the obstacle factors affecting their restoration level can provide an empirical basis for future Marine ecological restoration projects.

However, due to the initial stage of coastal zone ecological restoration projects, the actual monitoring data of coastal zone ecological restoration is relatively lacking. Based on the CRITIC-TOPSIS (combination of CRITIC method and TOPSIS method) method, combined with the subjective perception of the public and the actual data of the restoration project, this paper proposes an evaluation method of the coastal zone ecological restoration effect to obtain the specific implementation effect of the coastal zone ecological restoration project. The main obstacle factors affecting the evaluation of coastal ecological restoration effect are identified by using the obstacle degree model.

This paper conducted an empirical study on the restoration of sandy shoreline and coastal wetland in Qinhuangdao city. Based on the data of restoration projects and the subjective perception of ecological restoration by the public in Qinhuangdao city, the research results showed that the coastal zone ecological restoration effect of Qinhuangdao city was general. The quality of the restoration project and the public perception have an important influence on the evaluation of the restoration effect. Improving the quality of the restoration project, strengthening the public's participation in ecological restoration and allowing the public to better participate in the ecological restoration of the coastal zone can improve the effect of ecological restoration of the coastal zone in an all-round way.

The research results of this paper have a guiding role in the ecological restoration of coastal cities in the future, and also have a demonstration and reference role for the assessment of the effect of ecological restoration of coastal zones.