Environment,livelihood and household: The ethno‐history of Rana Tharus Badaghar households

This paper focuses on the changes occurring in households in the indigenous Rana Tharus community. I discuss the household not in terms of physical structure but instead on the social aspects: how people relate to each other through the lens of the household context. I argue that the fluid nature of households makes its flexible to different ecological environments and socio‐economic scenarios. My ethnography of Rana households clearly illustrated that the formation, structure and management of Rana households was fundamentally linked to people's livelihoods. Before 1950s, abundant land resources allowed Ranas to live in joint‐type households. This particular household arrangement not only fulfilled labour needs but also secured the mutual security for every household member. Gradually, undivided and big households (known in Rana as Badaghar) became the ideal model for Ranas as soon as such establishments did not become divided or separated. This household structure also served as an important safety net for most Ranas and fundamental to other social relationships especially Mukhiya (household head system) and Kurmaa (patrilineal kin). However, since the 1950s, new socio‐economic landscapes have significantly challenged the maintenance of traditional Rana households. Within the lifetime of most Ranas, they first experienced household fission and the disappearance of the Mukhiya system. The dynamic relationships between Rana household and new ecological, social and economic landscapes are explored here. It is concluded that the household is a critical institution allowing anthropologists to better understand the long‐term social impacts caused by state policies and ecological changes. This is because people often practice their new household relations in their everyday life as a response to environmental and livelihood changes.     

Do human parents face a quantity‐quality tradeoff?: Evidence from a Shuar community

A number of evolutionary theories of human life history assume a quantity-quality tradeoff for offspring production: parents with fewer offspring can have higher biological fitness than those with more. Direct evidence for such a tradeoff, however, is mixed. We tested this assumption in a community of Ecuadorian Shuar hunter-horticulturalists, using child anthropometry as a proxy for fitness. We measured the impact of household consumer/producer (CP) ratio on height, weight, skinfold thicknesses, and arm and calf circumferences of 85 children and young adults. To control for possible "phenotypic" correlates that might mask the effect of CP ratio on anthropometry, we also measured household garden productivity, wealth, and social status. Regression models of the age-standardized variables indicated a significant negative impact of CP ratio on child growth and nutrition. The age-standardized height and weight of children in households with the largest CP ratio (10) were 1.38 and 1.44 standard deviations, respectively, below those of children in households with the smallest CP ratio (2). Surprisingly, garden productivity, wealth, and status had little to no effect on the fitness proxies. There was, however, an interesting and unexpected interaction between status and sex: for females, but not males, higher father status correlated significantly with higher values on the proxies.     

Household type and family size in Maharashtra, 1970

Abstract

Demographic transition theory expectations notwithstanding, empirical analyses have often observed higher fertility among nuclear than among extended households. A similar finding has been observed consistently at all stages of the reproductive career among a sample of households in Maharashtra, India, in 1970. Neither differential levels of natural fertility nor of family‐size preferences and use of fertility regulation, nor differential socioeconomic levels, can explain adequately the higher fertility of nuclear households. On the other hand, the evidence suggests that the direction of causation is reversed, that is, that household type is itself a function of fertility and other life‐cycle variables and also of space constraints on the household, and as such, is a better determinant of household type than a function of the latter.     

An Exploration of the Relationship between Socioeconomic and Well‐Being Variables and Household Greenhouse Gas Emissions

This research reports on a multivariate analysis that examined the relationship between direct greenhouse gas (GHG) emissions and socioeconomic and well‐being variables for 1,920 respondents living in Halifax Regional Municipality, Nova Scotia, Canada, using results from the Halifax Space‐Time Activity Research Project. The unique data set allows us to estimate direct GHG emissions with an unprecedented level of specificity based on household energy use survey data and geographic positioning system–verified personal travel data. Of the variables analyzed, household size, income, community zone, age, and marital status are all statistically significant predictors of direct GHG emissions. Birthplace, ethnicity, educational attainment, perceptions of health, life satisfaction, job satisfaction, happiness, volunteering, or community belonging did not seem to matter. In addition, we examined whether those reporting energy‐efficient behaviors had lower GHG emissions. No significant differences were discovered among the groups analyzed, supporting a growing body of research indicating a disconnect between environmental attitudes and behaviors and environmental impact. Among the predictor variables, those reporting to be married, young, low income, and living in households with more people have correspondingly lower direct GHG emissions than other categories in respective groupings. Our finding that respondents with lifestyles that generate higher GHG emissions did not report to be healthier, happier, or more connected to their communities suggest that individuals can experience similar degrees of well‐being regardless of the amount of GHG emissions associated with his or her respective lifestyle.     

Quantification of Goods Purchases and Waste Generation at the Level of Individual Households

Quantifying differences in resource use and waste generation between individual households and exploring the reasons for the variations observed implies the need for disaggregated data on household activities and related physical flows. The collection of disaggregated data for water use, gas use, electricity use, and mobility has been reported in the literature and is normally achieved through sensors and computational algorithms. This study focuses on collecting disaggregated data for goods consumption and related waste generation at the level of individual households. To this end, two data collection approaches were devised and evaluated: (1) triangulating shopping receipt analysis and waste component analysis and (2) tracking goods consumption and waste generation using a smartphone. A case study on two households demonstrated that it is possible to collect quantitative data on goods consumption and related waste generation on a per unit basis for individual households. The study suggested that the type of data collected can be relevant in a number of different research contexts: eco‐feedback; user‐centered research; living‐lab research; and life cycle impacts of household consumption. The approaches presented in this study are most applicable in the context of user‐centered or living‐lab research. For the other contexts, alternative data sources (e.g., retailers and producers) may be better suited to data collection on larger samples, though at a lesser level of detail, compared with the two data collection approaches devised and evaluated in this study.     

Modeling socioeconomic pathways to assess sustainability: a tailored development for housing retrofit

Purpose

In the European context, energy and climate have been prioritized by policies related to retrofitting, but social concerns such as unemployment or poverty need to be tackled. Policy makers need supporting assessment methods to comprehensively address complex processes as retrofitting, and the methodology of life cycle sustainability assessment (LCSA) seems an appropriate tool. However, LCSA needs further adaptation for the intended application. The objective of this work is to define socioeconomic models that, added to environmental life cycle assessment, enable LCSA. The intended application is guiding policy making related to retrofitting from a life cycle perspective.

Methods

This study defines models to assess social and socioeconomic impacts similarly to environmental life cycle assessment. These models address social and socioeconomic concerns, relevant in housing retrofitting processes, for which a cause-effect relationship can be established. Characterization models result from the identification, combination, and adaptation of available methods, developed within various research fields. These methods analyze damages to the health of workers involved in the life cycle and to the health of the household living in the retrofitted dwelling. Impacts on human well-being and dignity are addressed by analyzing prosperity, in terms of fair employment, alleviation of fuel poverty of households, and economic growth.

Results and discussion

With the proposed LCSA methods, we have compared impacts associated to the retrofitting of a house in Brussels in two scenarios, considering a remaining life cycle of 30 years and taking into account the reference situation. Environmental damages significantly decrease in one of the scenarios, but slightly increase for households that commonly under-heat. Retrofitting prevents indoor mold and associated damages on health but implies damages on the health of workers. Fair working hours involved in the life cycle have been quantified as well as the effects on the households regarding fuel poverty. The effects on the economic growth have also been studied to provide insights for the optimization of encouraging measures.

Conclusions

This LCSA proposal consists of a set of socioeconomic characterization models coupled with selected environmental ones. The models have been defined adapted to the particular application, given the context-specific nature of some of the social concerns, indicators, and characterization factors. This LCSA proposal helps adapting policies to housing typologies, household and dwelling conditions, as well as identifying potential improvements in the life cycle.

     

Differential Benefits of Multi- and Single-Household Grassland Management Patterns in the Qinghai-Tibetan Plateau of China

Two grassland management patterns, multi-household and single-household, have developed in the Qinghai-Tibetan Plateau of China since grasslands came under household control. In the multi-household management pattern (MMP), grassland is jointly managed by two or more households without fences between individual household pastures. The single-household management pattern (SMP) refers to a system in which grassland is separately managed by an individual household with fences separating these pastures from those of other households. This paper compares the benefits of the two management patterns using a field investigation and a social survey. We found that the MMP has greater economic benefits compared with the SMP because multi-household cooperation was more likely to reduce production costs and so reduce resource expenditures. Furthermore, the social benefits from MMP collaboration were also important. The results also indicated that the SMP was more likely to cause grassland degradation. In conclusion, the comprehensive benefits created under the MMP were greater as a result of social learning in this coupled human and natural ecosystem. The MMP has important policy implications for conservation and development initiatives in the Qinghai-Tibetan Plateau and other similar areas.     

Protective impacts of household-based tuberculosis contact tracing are robust across endemic incidence levels and community contact patterns

There is an emerging consensus that achieving global tuberculosis control targets will require more proactive case finding approaches than are currently used in high-incidence settings. Household contact tracing (HHCT), for which households of newly diagnosed cases are actively screened for additional infected individuals is a potentially efficient approach to finding new cases of tuberculosis, however randomized trials assessing the population-level effects of such interventions in settings with sustained community transmission have shown mixed results. One potential explanation for this is that household transmission is responsible for a variable proportion of population-level tuberculosis burden between settings. For example, transmission is more likely to occur in households in settings with a lower tuberculosis burden and where individuals mix preferentially in local areas, compared with settings with higher disease burden and more dispersed mixing. To better understand the relationship between endemic incidence levels, social mixing, and the impact of HHCT, we developed a spatially explicit model of coupled household and community transmission. We found that the impact of HHCT was robust across settings of varied incidence and community contact patterns. In contrast, we found that the effects of community contact tracing interventions were sensitive to community contact patterns. Our results suggest that the protective benefits of HHCT are robust and the benefits of this intervention are likely to be maintained across epidemiological settings.     

Ecologists can enable communities to implement malaria vector control in Africa

Background

Malaria imposes significant costs on households and the poor are disproportionately affected. However, cost data are often from quantitative surveys with a fixed recall period. They do not capture costs that unfold slowly over time, or seasonal variations. Few studies investigate the different pathways through which malaria contributes towards poverty. In this paper, a framework indicating the complex links between malaria, poverty and vulnerability at the household level is developed and applied using data from rural Kenya.

Methods

Cross-sectional surveys in a wet and dry season provide data on treatment-seeking, cost-burdens and coping strategies (n = 294 and n = 285 households respectively). 15 case study households purposively selected from the survey and followed for one year provide in-depth qualitative information on the links between malaria, vulnerability and poverty.

Results

Mean direct cost burdens were 7.1% and 5.9% of total household expenditure in the wet and dry seasons respectively. Case study data revealed no clear relationship between cost burdens and vulnerability status at the end of the year. Most important was household vulnerability status at the outset. Households reporting major malaria episodes and other shocks prior to the study descended further into poverty over the year. Wealthier households were better able to cope.

Conclusion

The impacts of malaria on household economic status unfold slowly over time. Coping strategies adopted can have negative implications, influencing household ability to withstand malaria and other contingencies in future. To protect the poor and vulnerable, malaria control policies need to be integrated into development and poverty reduction programmes.     

“When we got divorced,I left all my things behind.”: How the lifespan of household goods is linked to the biographical trajectory of their owners

Social science research suggests that in our current affluent societies, individuals are accustomed to frequently replacing their household goods. However, some still try to keep their objects for a long time. How do they come to be concerned about products’ lifespan? This paper draws on a powerful method already explored in the literature on consumption: the diachronic approach through individual life trajectories. Analyzing interviews conducted with 60 individuals seeking to make their objects last, this biographical approach allows identifying some factors that explain people's propensity to make objects last. This paper shows that the tendency to keep objects for a long time can come from the familial milieu, just as it can happen later, in connection with personal events—advancement in the life cycle, bifurcations in the personal course, or interactions with public discourses and objects’ breakdowns. Finally, it demonstrates that biographical events can also have a one-time influence on products’ careers in the households, without changing the individual's relationship to objects’ lifespan—these can be personal or more historical and exceptional events, such as lockdown during the COVID-19 crisis.     

农户生计与生态系统服务关系的区域差异及驱动机制——以密云水库上游流域为例

深入揭示生态系统与农户福祉之间的关系,对实现农户差异化管理及区域可持续发展具有重要意义。本研究以密云水库上游流域(包括北京市和河北省的部分区域)为研究区域,基于1754份农户调查问卷数据,通过统计计量方法对比分析了流域内北京市、河北省农户福祉水平(以家庭总收入表示)与生态系统服务依赖性(以生态系统依赖性指数表示)的关系。结果表明: 流域内京冀农户生计与生态系统的互作模式均可分为4类,但京冀两地不同模式占比差异较大。北京农户样本中,占比最高的是高福祉-低依赖模式(33.9%),农户人均年收入显著高于河北农户,农户的各项生计资本也较河北省农户高;河北农户中,不提倡的低福祉-高依赖模式仍占比39.1%,对提升农户福祉水平至关重要的人力资本素质、社会资本、金融资本等均显著低于北京农户;河北农户主要依赖农业生产收入(41.2%),对土地的开发利用程度显著较高;相对于北京农户,河北农户的自然资源条件、人力资本素质对农户生计的影响更加显著。保持适当家庭规模、不断提高劳动力教育水平、提高低收入家庭的生态补偿标准是形成农户与生态系统良好互动关系(高福祉-低依赖型)的关键因素。     

Modelling the proportion of influenza infections within households during pandemic and non-pandemic years

Background

The key epidemiological difference between pandemic and seasonal influenza is that the population is largely susceptible during a pandemic, whereas, during non-pandemic seasons a level of immunity exists. The population-level efficacy of household-based mitigation strategies depends on the proportion of infections that occur within households. In general, mitigation measures such as isolation and quarantine are more effective at the population level if the proportion of household transmission is low.

Methods/Results

We calculated the proportion of infections within households during pandemic years compared with non-pandemic years using a deterministic model of household transmission in which all combinations of household size and individual infection states were enumerated explicitly. We found that the proportion of infections that occur within households was only partially influenced by the hazard h of infection within household relative to the hazard of infection outside the household, especially for small basic reproductive numbers. During pandemics, the number of within-household infections was lower than one might expect for a given because many of the susceptible individuals were infected from the community and the number of susceptible individuals within household was thus depleted rapidly. In addition, we found that for the value of at which 30% of infections occur within households during non-pandemic years, a similar 31% of infections occur within households during pandemic years.

Interpretation

We suggest that a trade off between the community force of infection and the number of susceptible individuals in a household explains an apparent invariance in the proportion of infections that occur in households in our model. During a pandemic, although there are more susceptible individuals in a household, the community force of infection is very high. However, during non-pandemic years, the force of infection is much lower but there are fewer susceptible individuals within the household.     

The Effect of Gender and Social Capital on the Dual Burden of Malnutrition: A Multilevel Study in Indonesia

Introduction

The paradoxical phenomenon of the coexistence of overweight and underweight individuals in the same household, referred to as the “dual burden of malnutrition”, is a growing nutrition dilemma in low- and middle-income countries (LMICs).

Aims

The objectives of this study were (i) to examine the extent of the dual burden of malnutrition across different provinces in Indonesia and (ii) to determine how gender, community social capital, place of residency and other socio-economic factors affect the prevalence of the dual burden of malnutrition.

Methods

The current study utilized data from the fourth wave of the Indonesian Family Life Survey (IFLS) conducted between November 2007 and April 2008. The dataset contains information from 12,048 households and 45,306 individuals of all ages. This study focused on households with individuals over two years old. To account for the multilevel nature of the data, a multilevel multiple logistic regression was conducted.

Results

Approximately one-fifth of all households in Indonesia exhibited the dual burden of malnutrition, which was more prevalent among male-headed households, households with a high Socio-economic status (SES), and households in urban areas. Minimal variation in the dual burden of malnutrition was explained by the community level differences (<4%). Living in households with a higher SES resulted in higher odds of the dual burden of malnutrition but not among female-headed households and communities with the highest social capital.

Conclusion

To improve household health and reduce the inequality across different SES groups, this study emphasizes the inclusion of women''s empowerment and community social capital into intervention programs addressing the dual burden of malnutrition.     

Agricultural diversification as an important strategy for achieving food security in Africa

Farmers in Africa have long adapted to climatic and other risks by diversifying their farming activities. Using a multi‐scale approach, we explore the relationship between farming diversity and food security and the diversification potential of African agriculture and its limits on the household and continental scale. On the household scale, we use agricultural surveys from more than 28,000 households located in 18 African countries. In a next step, we use the relationship between rainfall, rainfall variability, and farming diversity to determine the available diversification options for farmers on the continental scale. On the household scale, we show that households with greater farming diversity are more successful in meeting their consumption needs, but only up to a certain level of diversity per ha cropland and more often if food can be purchased from off‐farm income or income from farm sales. More diverse farming systems can contribute to household food security; however, the relationship is influenced by other factors, for example, the market orientation of a household, livestock ownership, nonagricultural employment opportunities, and available land resources. On the continental scale, the greatest opportunities for diversification of food crops, cash crops, and livestock are located in areas with 500–1,000 mm annual rainfall and 17%–22% rainfall variability. Forty‐three percent of the African cropland lacks these opportunities at present which may hamper the ability of agricultural systems to respond to climate change. While sustainable intensification practices that increase yields have received most attention to date, our study suggests that a shift in the research and policy paradigm toward agricultural diversification options may be necessary.     

Social Network Analysis Predicts Health Behaviours and Self-Reported Health in African Villages

The provision of healthcare in rural African communities is a highly complex and largely unsolved problem. Two main difficulties are the identification of individuals that are most likely affected by disease and the prediction of responses to health interventions. Social networks have been shown to capture health outcomes in a variety of contexts. Yet, it is an open question as to what extent social network analysis can identify and distinguish among households that are most likely to report poor health and those most likely to respond to positive behavioural influences. We use data from seven highly remote, post-conflict villages in Liberia and compare two prominent network measures: in-degree and betweenness. We define in-degree as the frequency in which members from one household are named by another household as a friends. Betweenness is defined as the proportion of shortest friendship paths between any two households in a network that traverses a particular household. We find that in-degree explains the number of ill family members, whereas betweenness explains engagement in preventative health. In-degree and betweenness independently explained self-reported health and behaviour, respectively. Further, we find that betweenness predicts susceptibility to, instead of influence over, good health behaviours. The results suggest that targeting households based on network measures rather than health status may be effective for promoting the uptake of health interventions in rural poor villages.     

A dynamic,multi‐level analysis of recent immunization trends in Colombia

Abstract

During 1985–91, Latin American ministries of health carried out the ultimately successful Regional Polio Eradication Initiative. Unprecedented vaccine coverage levels were attained through a combination of mass campaigns, house‐to‐house vaccinations, and improvements in routine immunization services. Little is known, however, about the effects of these interventions on immunization demand; whether they reached so‐called high‐risk households and, if so, whether program effects were sufficient to offset the household risk factors. This paper examines the probability and timing of full immunization over this period in one case country, Colombia. Information on the immunization status of 3,609 vaccine‐eligible children born 1985–90 was extracted from Colombia's 1990 Demographic and Health Survey. Annual immunization coverage estimates from the Colombian Ministry of Health for 1985–90 for 148 sample municipios were appended to each child record, along with household‐level data. Initial non‐parametric regressions showed that five of six observed risk factors negatively influenced full immunization probability. Multivariate logit models showed that parents who had already lost a child were significantly less likely to obtain immunization cards (a proxy for exposure to the routine immunization program), despite rising cardholdership rates over the period. Among 1,376 immunization cardholders, waiting times to full immunization fell monotonically over the period. Local program coverage of 80 per cent or higher and prior use of prenatal services both increased the probability of full immunization. However, three of five maternal occupational categories decreased the probability, as did three of six observed household risk factors. The results show that demand for routine immunizations rose over the period, that only the highest‐risk households were not exposed to the routine program, and that routine program participation partially offset negative risk factor effects on the probability of full immunization. While targeted PHC interventions may increase health production by recruiting high‐risk households into the routine PHC services, further health production increases will require more intensive follow‐up of such households through routine PHC services.     

Food-Sharing Networks in Lamalera, Indonesia: Status, Sharing, and Signaling

Costly signaling has been proposed as a possible mechanism to explain food sharing in foraging populations. This sharing-as-signaling hypothesis predicts an association between sharing and status. Using exponential random graph modeling (ERGM), this prediction is tested on a social network of between-household food-sharing relationships in the fishing and sea-hunting village of Lamalera, Indonesia. Previous analyses (Nolin 2010) have shown that most sharing in Lamalera is consistent with reciprocal altruism. The question addressed here is whether any additional variation may be explained as sharing-as-signaling by high-status households. The results show that high-status households both give and receive more than other households, a pattern more consistent with reciprocal altruism than costly signaling. However, once the propensity to reciprocate and household productivity are controlled, households of men holding leadership positions show greater odds of unreciprocated giving when compared to households of non-leaders. This pattern of excessive giving by leaders is consistent with the sharing-as-signaling hypothesis. Wealthy households show the opposite pattern, giving less and receiving more than other households. These households may reciprocate in a currency other than food or their wealth may attract favor-seeking behavior from others. Overall, status covariates explain little variation in the sharing network as a whole, and much of the sharing observed by high-status households is best explained by the same factors that explain sharing by other households. This pattern suggests that multiple mechanisms may operate simultaneously to promote sharing in Lamalera and that signaling may motivate some sharing by some individuals even within sharing regimes primarily maintained by other mechanisms.     

Instrumental social support and women's body composition in El Alto,Bolivia

Instrumental social support, or aid in the form of labor or money, may exert a positive influence on economic welfare and food security. Several investigators have found a positive relationship between social support and nutritional status, while others have found a negative association between social support and central adiposity. In the rural Andes, extra‐household economic cooperation has long been an important adaptive strategy, and the breakdown of these relationships is one reason for high rates of rural‐to‐urban migration, including to the Bolivian city of El Alto. This research investigates the influence of instrumental support on women's body composition. Information was collected on individual perception of instrumental support and anthropometric indicators of nutritional status including percent body fat (bioelectrical impedance analysis (BIA)), BMI, and distribution of fat on trunk relative to limbs (Ratio of subscapular to triceps skinfold (STR)), and multiple linear regression analysis used to test the prediction that instrumental social support is positively related to body fat stores. Controlling for age and household socioeconomic status, perceived access to one or more sources of instrumental support was positively and significantly related to overall levels of adiposity. There is no evidence that STR mediates the relationship between instrumental social support and body composition. This analysis offers support for the prediction that economic social support has direct effects on women's energy stores. The interpretation of these results is somewhat ambiguous given the high levels of overweight and obesity in this population. Am J Phys Anthropol 152:51–57, 2013. © 2013 Wiley Periodicals, Inc.     

Transnational Migration in Rural Oaxaca, Mexico: Dependency, Development, and the Household

Contradictory models of dependency and development have dominated the discussion of migration between Mexico and the United States. Transnational models of migration resolve these contradictions by defining a series of interdependencies (economy and society, for example). Using data collected in a rural Zapotec community in Oaxaca, Mexico, this article focuses on three areas: the stage-specific development of transnational movement; the domestic cycle, household decision making, and migration/remittance outcomes; and the changing nature of community participation. Rooting the discussion in household decision making captures the important role local social variability and economic dynamism play in understanding transnational processes and advancing migration studies. [ households, migration, transnationalism, dependency and development, Oaxaca, Mexico ]