Abstract:Agriculture

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India’s overall ranking on the Global Climate Risk Index has been deteriorating in recent years, making it more vulnerable to climate risks. It has been indicated in the literature that climate change is also associated with agrarian distress. However, empirical analyses are scanty on this, especially in the Indian context. In this analytical exercise, we tried to explore the association between farmers’ suicides and climate change vulnerability across Indian states. Using data from various sources, we arrive at an Agrarian Vulnerability Index and juxtaposed that with farmers’ suicide data between 1996 to 2015 collected from the National Crime Records Bureau (NCRB). We noted a strong association between climate change vulnerability and farmers’ suicides. The essence of this analysis is to indicate and understand the broad trends and associations. This research, in the process, informs and presses for a systematic, more comprehensive study with an agenda at micro and meso levels to understand the nuances of this association. Submitted: 01 November 2020; Revised: 11 January 2021; Accepted: 29 April 2021

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This paper aims to answer if there is a gender-based disparity in educational performances due to the children’s background characteristics. What are the factors that cause a gender gap and the extent to which these factors contribute to the gap in educational performance? The study attempts to approach these questions using the fourth round of Young Lives survey data for the older cohort. Based on the results of a simple linear regression model and gender-based means of the explanatory variables, we adopted the Oaxaca–Blinder decomposition technique. Regression results show gender, time to study, social background, mother’s education, expenditure on education and years of education significantly influence the children’s mathematics performance and ceteris paribus. The majority of the performance difference, using the Oaxaca–Blinder technique, was explained by the differences in the variation of the mean outcome of male and female children, applied to the impact of female children. The entirety of the coefficient effect is explained by the body mass index and years of schooling a child has received. JEL Codes: I21, I22, I24, I25, I26, I29