Despite the existence of several policies and programs, anemia among pregnant and lactating women continues to be a serious concern for public health policy in India. The main objective of this study is to examine the prevalence and determinants of anemia among pregnant and lactating versus nonpregnant nonlactating (NP-NL) women for priority setting in health policies of the country. Data from the National Family Health Survey (NFHS3) conducted in 2005-2006 has been used for the analyses of this study. The results revealed that the prevalence of anemia was higher among lactating women (63%), followed by pregnant women (59%) than NP-NL women (53%). Younger lactating (71%) and older pregnant women (67%) had a higher burden of anemia. Along with socioeconomic factors, demographic indicators such as children ever born and program factors like nutrition advice and supplementary nutrition during anti natal care and postnatal care emerged as significant predictors in the case of anemia among both pregnant and lactating women, while socioeconomic indicators emerged as critical factors in the case of anemia among NP-NL women. Hence, targeting demographic and program factors, along with key socioeconomic and demographic factors in public health policy, is critical in reducing anemia among lactating and pregnant women, while targeting significant socioeconomic factors is the key for reducing anemia among NP-NL women.

The purpose of this article is to examine the convergence in CO₂ emissions across 18 Asian countries over the period of 1972–2010, based on data obtained from World Development Indicators. The study used β and σ convergence for parametric tests and kernel density estimates for non-parametric tests of convergence hypothesis and found convergence in CO₂ emission in all the tests. More recent trends have been considered for the tests rather than the long-term trends in CO₂ convergence. During the initial period (i.e., 1972–1982 and 1982–1992), the values, although converging, are not significantly depending upon the previous period. In contrast, the results for recent decades show convergence in CO₂ emissions significantly. Sigma (σ) convergence estimates also indicates that variation declined more in recent decades. Thus, the empirical findings of the study fulfil the major tests of convergence and provide evidence that many Asian countries’ relative per capita CO₂ emissions are converging over time. The study suggests that these results should be looked at in multilateral negotiation agreements.

This study estimates poverty, wealth inequality and financial inclusion, for the first time, at the sub‐caste level in both Hindus and Muslims using a unique survey data collected from 7124 households in Uttar Pradesh, India, during 2014–2015. The results confirm the existing hypothesis that Brahmins, Thakurs and other Hindu general castes have higher wealth accumulation, lower poverty and lesser exclusion from formal financial services than Dalits. Exclusion from formal financial services forces Dalits to depend primarily on informal financial sources for borrowing—which leads to financial misfortune and further dragging them into a vicious cycle of poverty.

Nutrition security is challenging in regions where resources are limited and food production is naturally constrained. In low- and middle-income countries (LMICs), undernutrition is high for many reasons, including lack of nutritional diversity and low high-quality protein content. Interest in the role of animal-source food (ASF) in reducing nutrition insecurity is increasing, as evidence from LMICs suggests that consumption of ASF is strongly associated with reduction in stunting, improved diet quality, and overall nutrition, particularly in early stages of life. We review the strengths and limitations of ASF consumption in terms of accessibility, safety, and nutritional benefits compared to non-ASF sources. We present a critical discussion on existing barriers to ASF consumption and its future directions in LMICs. Understanding the role of ASF in improving nutrition security in LMICs is crucial to optimizing public health, designing appropriate interventions, and implementing effective policy in resource-poor settings.