Escaping and Falling into Poverty in India Today

Social exclusion concepts, measurement, and a global estimate

Multiple estimates exist of global monetary and multidimensional poverty, but populations at risk of social exclusion still lack a worldwide estimate. This paper fills this gap by providing the first estimates of the share and number of populations at risk of social exclusion worldwide. The paper contributes to the literature in three important respects. First, it develops a conceptual framework of social exclusion that emphasizes the relative, multidimensional, and dynamic features of exclusion. Second, it proposes a macro-counting methodology that allows measuring populations at risk of exclusion based on identity, circumstances, and socioeconomic conditions, while advancing a protocol to avoid double counting of individuals at risk of social exclusion. Third, the empirical strategy provides to the best of our knowledge, the first estimates of populations at risk of social exclusion by dimensions of exclusion on a global and regional scale. Overall, we estimate that between 2.33 and 2.43 billion people-roughly 32 per cent of the global population-are at risk of social exclusion. The South Asia and East Asia and Pacific regions contain 1.3 billion such people, with India and China alone home to 840 million of them. Meanwhile, 52 per cent of sub-Saharan Africa's population is vulnerable to exclusion, the greatest share of any region. Our findings have important policy implications. While antipoverty policies can support household consumption and smooth its volatility among the poor, they are unlikely to address social exclusion stemming from ethnic, racial, or gender discrimination. Therefore, addressing exclusion necessitates a suite of multiple interventions tailored to distinct groups and sustained over time.

Transition in availability of improved sanitation facilities and its effect on diarrhoeal disease in India: evidence from longitudinal data

BACKGROUND

Poor sanitation, such as open defecation, is a major public health concern in India, causing diarrhoea and other infectious diseases. So far, few studies have linked poor sanitation with diarrhoea using longitudinal data. In this context, this study assesses the transition in availability of household sanitation facilities and its effect on diarrhoeal morbidity.

METHODS

We used two waves of longitudinal data from the India Human Development Survey, conducted in 2004-2005 and 2011-2012, and based on 34 131 followed-up households using a two-stage stratified random sampling method. In the first stage, multinomial logistic regression was used to assess socio-economic factors contributing to the transition in the availability of household sanitation facilities. In the second stage, multivariate linear regression was performed to examine the effect of the change in the availability of household sanitation facilities on the prevalence of diarrhoeal morbidity. All the analysis in this study was carried out by using Stata version 13 software.

RESULTS

The findings reveal that the practice of open defecation was continued to be higher among lower socio-economic households than better-off socio-economic households in both 2004-2005 and 2011-2012. The proportion of household members who fell sick due to diarrhoea morbidity has decreased significantly (β=-0.06, p<0.04) among households that switched from open defecation in 2004-2005 to improved sanitation facilities in 2011-12, compared to households that continued to practice open defecation in both periods (2004-2005 and 2011-2012). The share of household members who fell sick due to diarrhoeal morbidity was significantly lower (β=-0.09, p<0.001) among the households who adopted improved toilet facilities in both periods (2004-2005 and 2011-2012) as compared with the households who continued to defecate openly in both periods, net of other covariates.

CONCLUSIONS

Our findings show that there is a need to strengthen existing policies focusing on lower socio-economic groups to improve sanitation and eliminate its related diseases. In particular, the ongoing 'Clean India Mission' should play a critical role in promoting sanitation for all.

Life Satisfaction among the Poorest of the Poor: A Study in Urban Slum Communities in India

This study investigates the level and predictors of life satisfaction in people living in slums in Kolkata, India. Participants of six slum settlements (n = 164; 91% female) were interviewed and data on age, gender, poverty indicators and life satisfaction were collected. The results showed that the level of global life satisfaction in this sample of slum residents did not significantly differ from that of a representative sample of another large Indian city. In terms of life-domain satisfaction, the slum residents were most satisfied with their social relationships and least satisfied with their financial situation. Global life satisfaction was predicted by age, income and non-monetary poverty indicators (deprivation in terms of health, education and living standards) (R2 15.4%). The current study supports previous findings showing that people living in slums tend to report higher levels of life satisfaction than one might expect given the deprivation of objective circumstances of their lives. Furthermore, the results suggest that factors other than objective poverty make life more, or less, satisfying. The findings are discussed in terms of theory about psychological adaptation to poverty.

Employment inequality in India during the pandemic

Purpose

The coronavirus disease 2019 (COVID-19)-induced response policies initiated by the Indian states disproportionately impact the employment of different groups in terms of gender, caste and religion. This study analyses the impact of the COVID-19-induced labor policies on employment inequality across different groups in India.

Design/methodology/approach

The authors identify different exogenous COVID-19-induced labor policies initiated by the Indian states, and synthesize them into direct and indirect labor policies. The authors employ a panel model to examine the impact of COVID-19-induced labor policies on employment inequality.

Findings

The authors find that the direct and indirect labor policies induce a decline in the employment rate, and create employment inequality among gendered and religious sub-groups. Females and Muslims have not significantly benefited from the COVID-19-induced labor policies. However, disadvantaged caste groups have benefited from direct and indirect labor policies.

Research limitations/implications

The time period during which this research was conducted was quite brief, and the qualitative impact of labor policies on employment inequality has not been accounted for.

Practical implications

This study unravels the distributive impact of the COVID-19-induced direct and indirect labor policies on the well-being of vulnerable laborers.

Social implications

The study provides novel empirical evidence of the beneficial role of a proactive government. This study’s findings suggest the need for specific distributive labor policies to address employment inequality among gender and religious groups in India.

Originality/value

The study employs new data sources and synthesizes the COVID-19-induced labor policies into direct and indirect labor policies. In addition, the study contributes to understanding the impact of COVID-19 induced direct and indirect labor policies on employment inequality across gender, caste and religious sub-groups in India.

Accounting for variation in and overuse of antibiotics among humans

Worldwide, antibiotic use is increasing, but many infections against which antibiotics are applied are not even caused by bacteria. Over-the-counter and internet sales preclude physician oversight. Regional differences, between and within countries highlight many potential factors influencing antibiotic use. Taking a systems perspective that considers pharmaceutical commodity chains, we examine antibiotic overuse from the vantage point of both sides of the therapeutic relationship. We examine patterns and expectations of practitioners and patients, institutional policies and pressures, the business strategies of pharmaceutical companies and distributors, and cultural drivers of variation. Solutions to improve antibiotic stewardship include practitioners taking greater responsibility for their antibiotic prescribing, increasing the role of caregivers as diagnosticians rather than medicine providers, improving their communication to patients about antibiotic treatment consequences, lessening the economic influences on prescribing, and identifying antibiotic alternatives.

Gender inequalities and household fuel choice in India

The use of solid cooking fuels-wood, straw, crop residue, and cow-dung cakes-is associated with higher levels of environmental pollution and health burden. However, even in an era when incomes have grown and poverty has declined, the proportion of Indian households using clean cooking fuels such as kerosene or Liquefied Petroleum Gas (LPG) has increased only slightly. Even among the wealthiest quintile, only about 40 percent of the households rely solely on clean fuel. Since the chores of cooking and collection of fuel remain primarily the domain of women, we argue that intra-household gender inequalities play an important role in shaping the household decision to invest in clean fuel. Analyses using data from the India Human Development Survey (IHDS), a panel survey of over 41,000 households conducted in two waves in 2004-05 and 2011-12, respectively, show that women's access to salaried work and control over household expenditure decisions is associated with the use of clean fuel.

The Emergence of Educational Hypogamy in India

With rising education among women across the world, educational hypergamy (women marrying men with higher education) has decreased over the last few decades in both developed and developing countries. Although a decrease in hypergamy is often accompanied by increasing homogamy (women marrying men with equal levels of education), our analyses for India based on a nationally representative survey of India (the India Human Development Survey), document a considerable rise in hypogamy (women marrying partners with lower education) during the past four decades. Log-linear analyses further reveal that declining hypergamy is largely generated by the rise in education levels, whereas hypogamous marriages continue to increase even after marginal distributions are taken into account. Further multivariate analyses show that highly educated women tend to marry men with lower education but from more privileged families. Moreover, consanguineous marriages, which exemplify strong cultural constraints on spousal selection in certain parts of India, are more likely to be hypogamous than marriages not related by blood. We argue that the rise in hypogamous marriage by education paradoxically reflects deep-rooted gender scripts in India given that other salient social boundaries are much more difficult to cross.

Fertility intentions and maternal health behaviour during and after pregnancy

This study examines associations between fertility intentions and maternal health behaviours during and after pregnancy among a nationally representative sample of 3,442 women from India. Two waves of data (2005, 2012) from the India Human Development Survey were analyzed to investigate the influence of unwanted births on women's use of antenatal care, timely postnatal care, and the delivery setting using binary and ordered logistic regression, partial proportional odds models, and propensity score weighting. Fifty-eight per cent of sample births were unwanted. Regression results show that, net of maternal and household characteristics, women with unwanted births were less likely to obtain any antenatal care and had fewer antenatal tests performed. Unwantedness was also associated with a lower likelihood of delivering in an institutional setting and of obtaining timely postnatal care. The relationships between unwantedness and antenatal care, postnatal care, and delivery setting were robust to models accounting for propensity weighting.

Evaluating Poverty Alleviation by Relocation under the Link Policy: A Case Study from Tongyu County, Jilin Province, China

Land, nature, and the social environment in contiguous poor regions are harsh and difficult to change. The poor adaptive capacities of the socio-ecological systems of these regions are the main causes of deep, persistent poverty. In February 2016, the Chinese government issued a policy proposing to promote poverty alleviation by relocation (PAR) by means of the “Linking increases in urban construction land with decreases in rural construction land” policy (or simply, the “Link Policy” or LP), which intends to realize the sustainable social and economic development of local villages. Since then, many pilot projects have been carried out across the country based on local resources, environment, and economic development; however, few related studies on these cases have been conducted. After a review of poverty alleviation policies, this paper first introduces the unsustainable conditions of poor rural areas and the implications and advantages of PAR under the Link Policy; we then analyzed the complete PAR process, including formulation, implementation, and completion, by taking Tongyu County in Jilin Province as an example. The study found that the “whole village relocation” model practiced in Tongyu County was relatively successful in terms of improving the living environment, income, and public services of local villagers. On the other hand, there were three main problems: first, many follow-up industries were dominated by the village collectives and heavily dependent on government support or subsidies; second, the newly built village faced the dilemma of “re-hollowing” due to the out-migration of young people and the aging population; third, it was difficult to achieve a true requisition–compensation balance of farmland.

Explicit Prejudice: Evidence from a New Survey

A representative phone survey to study explicit prejudice against women and Dalits in Delhi, Mumbai, Uttar Pradesh, and Rajasthan reveals widespread prejudice in several domains and discusses the consequences for women and Dalits, and society as a whole. The results suggest the need for a more robust public discourse and active approach to measuring and challenging prejudice and discrimination.