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The under-5 mortality rate in Nepal remains high in comparison to neighboring countries and developed nations. The result of this problem on Nepal’s social, economic, political and cultural development makes it an urgent priority requiring the Nepalese Government to address this issue. The purpose of this paper is to find out if Nepal’s high female labor force participation (FLFP), the caste system and no paid maternity leave are contributing factors to under-5 deaths in Nepal.

Data for this study were taken from Nepal’s cross-sectional demographic health survey 2016–2017. The study sample included 5,060 children born to 3,074 mothers in the five years preceding the survey. Data were collected by interviewing respondents via a structured questionnaire selected through stratified random sampling methods.

The study found that the hazard ratio for FLFP, the caste of the mother and paid maternity were 1.145, 1.485 and 0.556, respectively, with a p-value <0.001. Therefore, the risk of death in children under-5 years for a working mother, a Terai caste mother and a mother who did not get paid maternity was 14, 45 and 48 percent, respectively, higher than for non-working mothers, mothers from other castes and mothers who got paid maternity.

This research demonstrated that FLFP, the caste of the mother and paid maternity leave are important factors for determining the risk of death in children under the age of 5.

The purpose of this paper is to investigate, firstly, to what extent has Nepal’s bureaucracy become representative in terms of reflecting the country’s demographic composition, and secondly, has the bureaucracy become more responsive to citizens since the implementation of a quota policy in 2007.

This paper relies on factual and perceptual data in analysis. In order to analyze and interpret representative bureaucracy, this paper adopts factual data derived from the secondary sources, especially data generated by the Government of Nepal. Second, the perceptual set of data was collected through two rounds (2008, 2014) of a country-representative survey in Nepal.

The findings suggest that in terms of representativeness, the bureaucracy is still dominated by high-caste Hindus, while other ethnic communities, except the Newars, are utterly under-represented. Surprisingly, Dalits are represented in higher posts as per their percentage in the population, but they are still underrepresented in the civil service in general. Women’s representation has also increased through participation in the civil service, but they still mostly hold junior or non-gazetted posts. Citizens’ evaluations regarding responsiveness and processes of service provision are also mixed.

This paper is a unique attempt to understand the aspects of representativeness and responsiveness in relation to Nepalese Civil Service.

The purpose of this paper is to contribute original evidence about the conditions for formal and informal contracts for commodities and labour in the waste economy of a South Indian town.

Field research was exploratory, based on snowball sampling and urban traversing. The analysis follows capital and labour in the sub-circuits of capital generating waste in production, distribution, consumption, the production of labour and the reproduction of society.

Regardless of legal regulation, which is selectively enforced, formal contracts are limited to active inspection regimes; direct transactions with or within the state; and long-distance transactions. Formal labour contracts are least incomplete for state employment, and for relatively scarce skilled labour in the private sector.

The research design does not permit quantified generalisations.

Waste management technology evaluations neglect the social costs of displacing a large informal labour force.

While slowly dissolving occupational barriers of untouchability, the waste economy is a low-status labour absorber of last resort, exit from which is extremely difficult.

The first systematic exploration of formal and informal contracts in an Indian small-town waste economy.

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

Caesarean section (CS) is being used as a life-saving surgical tool when complications arise in the process of childbirth. CS rates have dramatically increased across the world, especially in recent decades. In this background, the purpose of this paper is to explore the CS rates and its determinants in Karnataka, India.

The study uses multiple rounds of the District Level Household Survey (DLHS) data to show the trends, differentials and determinants in CS deliveries. Both bivariate and multivariate analyses have been carried out, and the χ² test and logistic regression models were applied.

Result shows a sharp increase in CS rates across Karnataka; further, this is high and reaches an alarming level in southern parts of the state. Along with a huge rural–urban difference, significant biological and socio-economic differences were observed. Further, a very dramatic increase in the CS rate was observed in private health facilities, whereas it was stagnant or even decreased in public health facilities during recent years. Mothers age at birth, birth weight, birth order, multiple births, birth institution and place of residence were significantly associated with CS delivery. Unlike these biological factors, the social-economic factors like maternal education, caste, religion and below poverty line household were not found to be significant in determining CS deliveries.

A strong policy to address the dramatic increase in CS deliveries is the need of the hour. Further, there should be a proper mechanism at national, state and sub-state level to provide appropriate checks and monitoring for CS deliveries which are unnecessary.

Recent public health policy emphasizes the achievement of healthy aging as average life expectancy increases worldwide. Evidence for healthy aging from low- and middle-income countries (LMIC) is limited. The purpose of this paper is to assess the prospects of healthy aging and its associated factors in the Indian context.

The study was based on a national-level panel survey, the Indian Human Development Survey (IHDS) conducted in 2004-05 and 2011-12. The analytical sample consists of 10,218 elderly individuals who were 60 years old and above at the baseline. Change in health status was assessed based on disability and disease incidence at the follow-up. A generalized estimating equation (GEE) model was performed to assess health status change.

Increasing age was a risk factor for all dimensions of health outcomes. Elderly from the lowest wealth quintiles were more likely to lose health due to short-term morbidity, whereas the highest wealth quintiles were more likely to lose health due to long-term and multi-morbidity, indicating evidence for the presence of the “disease of affluence”. Social capital, such as living in a joint family acted as a protective factor against health risks.

With the results showing the evidence of the “disease of affluence” and “disease of poverty” in different health outcomes, there should be a health policy focus that copes with undergoing epidemiological transition. It is also important to pay attention to health-protecting factors such as social and familial support to achieve healthy aging.

In this chapter, I explore two media texts, Imtiaz Ali's Highway and Alankrita Shrivastava's Netflix original series Bombay Begums (2021). I contend that recent filmmakers have begun to arguably reframe the narratives of rape victim-survivors and disrupting the cultural of silence described above. They offer progressive and multi-faceted representations of these experiences, such that there is an opportunity for a dialogue within both private and public spheres. What I mean when I say that they are ‘progressive representations’ is that the rape victim-survivors are not merely reduced to helpless women in distress, nor painted as vengeful, aggressive characters. Instead, their characterisation shows that they have agency and autonomy, but at the same time struggle with the repercussions of speaking out against their perpetrators in a society that does not support them wholly.

The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India.

The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively.

The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption.

The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs.

By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way.

To contextualise the contributions in this section, we present some data on growing up in South Asian societies. It is important to consider the fundamental diversity of conditions in which children and youth live. We suggest some theoretical terms that are helpful in this regard and preview the contributions against this background. The studies on which the contributions are based impressively document the striking inequality in this region.

Around three million infants die within the first four weeks of life each year – nearly all (98%) of these deaths occur in developing countries. Approximately one million newborns die each year in India. Therefore, this study aims to determine the patterns of reported neonatal morbidity and care-seeking behavior and identify factors associated with it.

A cross-sectional study was conducted during November 2016. A systematic random sampling technique was used to select the sample. Statistical techniques like Binary Logistic regression and chi-square test were used.

The results of the study showed that around 31% mothers of neonates reported that their neonates suffered from some kind of morbidity. Fever, jaundice, cough and cold, the low birth-weight and difficulty in breathing were the most common dangers signs reported. Birth order and mother’s knowledge of neonatal danger signs were found to be significantly associated with reporting of neonatal morbidity. In all 95% of the mothers sought care for their newborns. Among those who had problems, 59% consulted private hospitals/clinics, 30% visited District Hospital/Taluka Hospital or higher facilities and another 9% to Primary Health Centers/Community Health Centers. Further, findings show that nearly half of the neonates taken to government facilities have got free treatment, whereas an average cost of 7,156 INR were recorded for treatment, 935 INR for outpatient department and 13,774 INR for inpatient department cases.

There is an urgent need to implement intervention modalities that focus on increasing the level of parental education and access to treatment, and advocating the message regarding newborn danger signs during pregnancy is pinpointed.