Despite well-acclaimed progress in numerous areas, India is still struggling to overcome the basic maternal mortality problem. Maternal mortality rate (MMR) is continuing to be an awful issue since decades. An important proximate determinant of maternal mortality is access and use of quality healthcare services. So in order to reduce the MMR, it is quite mandatory to maintain high quality of maternal healthcare utilisation. This article highlights maternal healthcare utilisation in terms of 'antenatal care' (ANC), 'institutional delivery' and 'professional assistance at home delivery'. Muslim women are lagging behind the women of other religions in terms of socioeconomic status. In view of the above, this article studies the patterns, determinants of maternal healthcare utilisation among Muslims and also strive to analyse differentials with national average and mothers of other religions. Data have been used from the three National Family
Using the latest representative datasets of National Sample Survey, this article investigates the structural changes and gender differentials in proprietorship in the Indian unorganized enterprises. This article also identifies the relevant determinants of female proprietorship in the unorganized enterprises. This study distinguishes between two types of female entrepreneurs: necessity and opportunity entrepreneurs, based on their motivation behind operating an enterprise. This study also explores the potential factors responsible for this division. The findings show that there is only 2 per cent rise in the share of female proprietors in over a 5-year period (2010–2011 to 2015–2016) and female proprietors are increasingly concentrated in necessity-driven informal entrepreneurship.
Health insurance has been accepted as one of the channels that can serve the purpose of universalisation of health care and especially useful in the period of health crisis. This is the emerging and challenging sector in India. The present study explores the health insurance penetration in India using the latest two rounds of nationally representative datasets of the National Family Health Survey (2005-06 and 2015-16). This study identifies the covariates of households' participation and their choice for different health insurance schemes, using the average marginal effects of binary and multinomial logit regression models with conditional categories after checking their Kernel density function. The results suggest that health insurance in India is more skewed towards the households belonging to higher wealth quintile and in the front runner states.Age, occupation and education level are also positively associated with health insurance enrolment. The variable 'weighted information index', which is estimated through Principal Component Analysis, is a significant determinant of private health insurance and community-based health insurance, and this also caters to the richer households. The study also identifies several shortcomings of not accessing health insurance, their choices and suggests reforms with the goal of universalization of healthcare. The robustness check has been performed using 20 percent, 50 percent and 80 percent sub-sampling of the models.
Background and objectives Studies in low-and middle-income countries where nutrition transition is underway provides mixed evidence of double burden of maternal overnutrition and child undernutrition among mother-child pairs. Shifting dietary pattern and rapid increase in overweight/obesity among adults with persistent child undernutrition indicate that India is experiencing nutrition transition and double burden of malnutrition. Hence, the study explores the presence of and the factors associated with mother-child dyads of over- and undernutrition in India. Methods and materials The study uses National Family Health Survey 2015–16 data. The analytic sample consists of 28,817 weighted mother-child pairs where an overweight/obese mother is paired with an undernourished child. The nutritional status of children is defined according to WHO 2006 child growth standards as underweight (i.e., low weight-for-age), stunting (i.e., low height-for-age) and wasting (i.e., low weight-for-height). Maternal overweight/obesity (i.e., BMI ≥ 25 kg/m2) is defined using adult BMI criterion. Descriptive, bivariate, and adjusted multivariable logistic regression analysis are conducted. Results Of the overweight/obese mothers, 21.3%, 26.5%, and 14% have underweight, stunted, and wasted children respectively. In adjusted models, maternal short stature (aOR: 2.94, 95% CI: 2.30–3.75), age of child (aOR: 3.29, 95% CI: 2.76–3.92), and poorest wealth status (aOR: 2.01, 95% CI: 1.59–2.54) are significant predictors of overweight/obese mothers and stunted child pairs. Similarly, poor wealth status (aOR: 1.68, 95% CI:1.32–2.14), maternal stature (aOR: 2.70, 95% CI: 2.08–3.52), and child aged 2–5 years (aOR: 1.77, 95% CI:1.51–2.08) are also significantly associated with higher occurrence of overweight/obese mother and-underweight child pairs. Conclusion Findings of the study are consistent with the phase of nutrition transition and double burden of malnutrition. The paper concludes with suggestions to improve the socioeconomic condition, more strategic nutrition specific investments and policy interventions to eliminate all forms of malnutrition for achieving SDGs.
Purpose The purpose of this paper is to determine the factors which affect the financial access of the female-owned informal enterprises (FOIEs) in India. There has been a dearth of studies particularly targeting determinants of credit access by the women-owned informal enterprises. Demand side factors affecting financial access have been studied. The study of major factors affecting access to credit by unorganized women enterprises will be useful for policy making perspectives. Design/methodology/approach The study uses nationalized micro data set on the non-agricultural informal enterprises and probit estimation has been used to identify the factors which affect the probabilities of access to credit for the FOIEs. Findings The study highlights what facilitates and hinders the financial access for the FOIEs particularly in India. These enterprises in rural areas have better chances to avail credit from formal sources. Firm size, measured by policy-making size of employment and gross profit, involvement in diversified activities, maintenance of accounting record, has positive and significant impact on access to formal credit. The younger firms and the firms operating in the southern states of the country have higher probabilities to avail credit from institutional sources. Originality/value The study used the latest data set available on Indian informal enterprises, thus provides important insights about the status of financing of enterprises in India. This study highlights the regional variations and gender disparities that are prevalent in the Indian economy.
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