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• Caste is an important and unique axis of inequality in India. Caste based digital divide can exacerbate the existing socioeconomic divisions between different caste groups. • Using non-linear decomposition method, the present paper explains the digital divide between disadvantaged and other caste groups. • We find that there is a considerable first level and second level digital divide between the disadvantaged caste groups and Others in India. • The caste-based digital divide is largely explained by the differences in education and income between the caste groups. • The study foregrounds the importance of bridging the caste-based digital gap by closing the gap between the educational attainments of the disadvantaged and other caste groups. With the increasing importance of information and communication technologies in access to basic services like education and health, the question of digital divide based on caste assumes importance in India where large socioeconomic disparities persist between different caste groups. Studies on caste-based digital inequality are still scanty in India. Using nationally representative survey data, this paper analyzes the first-level digital divide (ownership of computer and access to the Internet) and the second-level digital divide (individuals skills to use computer and the Internet) between the disadvantaged caste groups and Others. Further, this paper identifies the caste-based differences in socioeconomic factors that contribute to the digital divide between these groups using a non-linear decomposition method. The results show that there exists large first-level and second-level digital divide between the disadvantaged caste groups and Others in India. The non-linear decomposition results indicate that caste-based digital divide in India is rooted in historical socioeconomic deprivation of disadvantaged caste groups. More than half of the caste-based digital gap is attributable to differences in educational attainment and income between the disadvantaged caste groups and Others. Findings of this study highlight the urgent need for addressing educational and income inequality between the different caste groups in India in order to bridge the digital divide. [ABSTRACT FROM AUTHOR]

Caste is a unique marker of social stratification in India. There are significant eco- nomic inequalities and considerable disparities in educational achievements between historically disadvantaged caste groups and Others. Unequal investments in their chil- dren's human capital by caste can perpetuate income inequalities and reproduce class differences between caste groups. This paper analyses caste-based disparities in house- hold expenditure on children's school education using nationally representative social expenditure data on education from 2007–08 and 2017–18 in India. The paper uses a recentered influence function (RIF) based decomposition analysis to pinpoint the key factors underpinning the disparity in private educational expenditure between disadvantaged caste groups and Others. Further, to overcome the problem of heterogeneity of data the study also employs propensity score matching (PSM) as robustness check for the decomposition analysis. The findings from decomposition and matching approaches reveal that differences in endowments, specifically income differences, between caste groups explain most of the caste-based gap in children's human capital investments. The study has implications for public policy to address educational and economic disparities between disadvantaged caste groups (ST, SC and OBC) and Others in India. [ABSTRACT FROM AUTHOR]

Women play critical roles in agricultural operations in many developing countries, yet they have limited ownership and de facto control over agricultural lands. Literature shows that insecure land rights constrain women's economic prospects and make them vulnerable to poverty and violence. Despite initiating women-friendly amendments in existing polices in India, the situation has remained unresponsive. Clearly, the existing patriarchal mind-set, cultural and social ethos have imposed restrictions on women land ownership. For deriving important policy pointers, ground realities on land distribution and existing iniquities is required which is lacking in available databases. In this context, the paper aims to reinforce with evidence the bias against women in land rights at different stages so that policy can be rethought in new ways. The analysis is based on sex-disaggregated data extracted from nearly 16,000 original digital copies of land records for 12 States/Union Territories (UTs) in rural India, a first of its kind of exercise. Our results show that just having a title won't resolve the bigger challenge of different levels of inequities that women still face when they own the land in terms of limited access to single land titles, lower shares, smaller size and inferior quality of land holdings. We also analyse the extent to which the States laws and provisions related to women land rights have controlled these biases, for which State-wise laws/ provisions were reviewed. We find mixed impacts of these provisions with significant variations across States, the reasons being lack of proper implementation and prevailing social attitudes/ customs. Finally, while emphasising the need to start rethinking and reinforcing these laws and provisions in a new way, the paper suggests feasible steps in this direction. • The paper reinforces with evidence the bias against women in land titles so that policy can be rethought in new ways. • It's the first of its kind of analysis where digital copies of the land records were examined to show ground realities. • Even as landowners women face discrimination with limited access to single titles, smaller land size and inferior quality. • Lack of proper implementation, social attitudes, and customs have restricted the impacts of provisions in some states. [ABSTRACT FROM AUTHOR]

Summary Compared to the extensive literature on measurement of poverty, the question of how the poor are distributed regionally has received less attention. This paper fills the gap in the literature by providing a conceptual framework to measure inequality in the distribution of the poor. A poverty segregation curve is used to compare a region’s share of the poor population with its share in the overall population. A unique contribution of the paper is formulating a generalized version of the poverty segregation curve. Unlike the segregation curve, the generalized segregation curve also takes average poverty rates into account while ranking distributions. Thus the generalized segregation curve may rank a distribution with substantially lower poverty rates above a distribution with higher poverty rates, when differences between their segregation curves are relatively small. The segregation curves are used to analyze changes in the distribution of the poor in India since the economic reforms in the early 1990s. Poverty rates and shares among all states, territories, and districts in India are estimated using data from the National Sample Survey Organization in 1994, 2004, and 2010. In the decades following the reforms India witnessed high growth rates and declining poverty rates. Despite the reduction in poverty, our analysis is the first to reveal that there was a significant rise in segregation of the poor over time. Some states had disproportionately high share of the poor compared to their share in the total population. Within states, the extent of segregation was lower among some of the poorest states and higher in less poor states. The generalized segregation curves show that the substantial decline in poverty rates since the reforms was not adequate to compensate the rise in segregation of the poor. Increase in segregation was also evident when the poor are identified as those who lacked education, health, and access to basic services. Reducing the segregation of the poor is important if India is to attain regionally balanced economic growth. [ABSTRACT FROM AUTHOR]

Recent attention to Millennium Development Goals by the international development community has led to the formation of targets to measure country-level achievements, including achievements on health status indicators such as childhood immunization. Using the example of immunization in India, this paper demonstrates the importance of disaggregating national averages for a better understanding of social disparities in health. Specifically, the paper uses data from the India National Family Health Survey 1992–93 to analyze socioeconomic, gender, urban-rural and regional inequalities in immunization in India for each of the 17 largest states. Results show that, on average, southern states have better immunization levels and lower immunization inequalities than many northern states. Wealth and regional inequalities are correlated with overall levels of immunization in a non-linear fashion. Gender inequalities persist in most states, including in the south, and seem unrelated to overall immunization or the levels of other inequalities measured here. This suggests that the gender differentials reflect deep-seated societal factors rather than health system issues per se. The disaggregated information and analysis used in this paper allows for setting more meaningful targets than country averages. Additionally, it helps policy makers and planners to understand programmatic constraints and needs by identifying disparities between sub-groups of the population, including strong and weak performers at the state and regional levels. [Copyright &y& Elsevier]

The main objective of this paper is to investigate the economic determinants of female-owned proprietorships for 52 metro cities in India. The National Sample Survey (NSS) unit-level data are used for the analysis. The descriptive results show that women's proprietorship is much lower than its counterpart. The Probit regression results at the individual level show that women entrepreneurs do not have a bank account or computer but use the internet, are not registered under any act or authority, and do not expand considerably. They operate within household premises with a limited number of months and duration of a day, undertaking mainly contract basis. They also face several problems that hinder their activities. City-level factors such as work participation rate, consumption expenditure, higher levels of general and technical degrees, and vocational training are essential. The likelihood of becoming a female entrepreneur is negatively impacted by the two agglomeration variables of population size and participation in mixed activity. City-level poverty and inequality also adversely affect it. State-level Human Development Index, Gender Development Index, and Gender Inequality Index are also significant. Finally, we propose important policies to enable the city environment to improve women's entrepreneurship activities for higher and sustainable economic development. • Female-owned entrepreneurship (FOE) is essential for sustainable and inclusive economic growth in developing countries. • The agglomeration size, unequal economic distribution, and less female-friendly society discourage becoming FOE. • Knowledge spillovers, labour pooling, availability of public services, and infrastructure encourage FOE. • Cities need to increase investment, employment, level of education, and delivery of public services. [ABSTRACT FROM AUTHOR]

The “4 per Thousand” initiative was launched at the 21st Conference of Parties (COP21) in December 2015 to address global climate change through the aspirational goal of increasing soil organic carbon (SOC) stock of the world to 40-cm depth by an average annual rate of 4%. Small landholders (SLHs), often faced with difficult bio-physical and socio-economic conditions, are the principal managers of soil in India. There are 117 million SLHs representing 85% of the total operational holdings, cultivating over 72 million ha of land, and meeting 50–60% of India's food requirement. The agricultural soils of SLHs are strongly depleted of SOC and nutrient reserves. Therefore, the challenge of feeding 1.7 billion people in India by 2050 will depend on increasing the current productivity levels by restoring the depleted soils of SLHs. According to our estimates, soils of SLHs currently contain 1370–1770 Tg C and, which can be increased to 2460–2650 Tg C by 2050 through large-scale adoption of best management practices (BMPs) including balanced application of nutrients, compost, agroforestry, and conservation agriculture. A wide spread adoption of these practices can enhance C sequestration by 70–130 Tg CO 2 e per annum and produce 410–440 million Mg of food grains accounting for 80–85% of the total requirement by 2050. In this paper we propose strategies for achieving the dual objectives of advancing food security, the “4 per Thousand” target and mitigating climate change in India. [ABSTRACT FROM AUTHOR]

This paper examines the role of caste, tribe, and religion in determining energy inequality in India. We provide evidence by using the National Sample Survey Organisation data from the 68th round (2011 − 12) of 87,753 households. We estimate the inequalities in access to Liquid Petroleum Gas (LPG) and electricity usage by the households belonging to the three major disadvantaged groups in India, viz., the scheduled castes, the scheduled tribes, and the Muslims. The results of our empirical analysis suggest that, after controlling for the determinants which impinge on the households' microeconomic demand and regional supply characteristics, the households belonging to the scheduled tribe and scheduled caste communities do have significantly poorer access to LPG and electricity usage as compared to the upper caste households. The decomposition analysis of average differences in the predicted outcomes shows that it is the scheduled caste and scheduled tribe households who would appear to face most discrimination. The Muslim households too face significant inequality in accessing LPG. Policy implications of the findings are considered. [ABSTRACT FROM AUTHOR]

Demographers have carefully analyzed intersecting aspects of identity beyond religious category that influence fertility patterns in India, such as region, access to wealth, sex ratios, and gender dynamics (Padmanabhan, 2015). Drawing on interviews and participant-observation conducted during 15 months of field research on infertility in Lucknow, Uttar Pradesh, north India, between 2005-07 and 2016–17, this study shows how nuances of demographic change categorized by religion, such as changes in fertility and mortality rates, ripple through public discourse and imagination less powerfully than overall shifts in population percentages. This paper connects media and political discourse about religion, demography, and fertility in large-scale reports, such as the 2011 Census of India and the Sachar Committee Report on status of Muslims in India (Sachar et al., 2006), to the health care services and advice provided to Muslim women and children. While the Sachar Report drew attention to economic and social disadvantage among Muslims, political discourse in response to the 2011 Census continues a trend of labeling disparities in fertility rates across religious categories as a social problem. Such discourse renders individual fertility and infertility experiences invisible and reinforces longstanding negative representations of Muslims' fertility, with important implications for health, identity, and ultimately, governance (Sangamoorthy and Benton, 2012). Ethnographic data from health outreach efforts led by and serving Muslim women in Lucknow demonstrate the diversity of Muslim women's positions relative to health and fertility services as well as the intersections of various aspects of identity with fertility management experiences. By bringing these perspectives together, the paper shows how ethnographic work matters for making sense of quantitative population data. The political uses of large-scale quantitative data demonstrate how social science analysis can be used both to create "Others" and argue for neo-eugenics, and to bolster arguments for resources and reform that benefit the disadvantaged. • Large-scale research on population in India leaves out experiences of infertility. • Qualitative research can bring perspectives on infertility to light. • Political uses of religious demography of fertility show up in clinical encounters. • Situating infertility requires mixed methods and interdisciplinary inquiry. [ABSTRACT FROM AUTHOR]

The paper uses a large scale national quantitate dataset to provide a fresh perspective on linkages between the digital divide and social inequalities in India. Commencing from two classical social theoretical perspectives – the Marxian conflict perspective and the Weberian cultural perspective – as starting points, we employed MANCOVA analysis on data of more than forty thousand households. The Marxian perspective reveals how information and communication technologies (ICT) assets come to be owned, and how they are used with the help of specific digital skills by the working class to influence labour markets and intergenerationally transfer class advantage. The Weberian perspective focuses on how ownership and use of ICT assets define an elite lifestyle which excludes others. The analysis is deepened by employing network effects approach. Results from data analysis indicate that the less educated, lower-income group, and lower caste strata are further marginalised as they neither have ICT assets nor the skills to use them. Households whose primary source of income is organised business own and use their ICT assets more than those that depend on agricultural or non-agricultural wage labour. Also, the highest adult education in a household, caste, and the primary source of income of the household differentiate ICT ownership and use. Overall, ICT ownership and usage are significantly different for different socio-economic groups in India. This linkage demonstrates how inequalities are aggravated in the manner of a Matthew Effect. The paper suggests that ICTs may end up amplifying the social inequalities in India. • Highest adult education is an important factor for ICT ownership and use. • Caste of a household is an important factor for ICT ownership and use. • Effect of occupation on ownership and use of ICT assets is robust. • The ICT revolution holds possibility of creating new means of social exclusion. [ABSTRACT FROM AUTHOR]

Abstract: This paper investigates the extent of socioeconomic inequalities in antenatal care use and related medical procedures in Brazil and India, which represent transition economies with contrasting geographical and sociocultural composition and health care provision. Concentration indices and regression analyses applied on recent Demographic Health Survey data reveal high and proportionate distribution of antenatal coverage in Brazil, whereas the Indian case present problems of both scale and equity. Inequalities in access to four or more antenatal visits are significantly pronounced in India, and in Brazil the differences are significant only for those who had six or more visits. Brazil''s universal healthcare model which proved effective in promoting equitable distribution of antenatal care could be implemented in India. Future interventions should emphasis quality of care in monitoring essential antenatal services especially targeting the poor and deprived communities. [Copyright &y& Elsevier]

Summary: The dynamic rural nonfarm sector in China has been a major contributor to the country’s remarkable growth, while in India the growth in output and employment in this sector has been rather stagnant. This paper argues that the observed patterns in the rural nonfarm development are the results of institutional differences between the two countries, especially in their political systems, ownership structure, and credit institutions. A review of the strengths and weaknesses of the rural nonfarm economy in China and India highlights the potentials and challenges of growth in the sector. [Copyright &y& Elsevier]