I am a research consultant at the Indian Institute for Human Settlements, Bangalore, India. I have completed a Masters in Environmental Economics from the Madras School of Economics, India. My evolving research interests are loosely bound around climate change impact assessments, focusing on impacts on agriculture and health. I am interested in studying intersectionality in several developmental and climate change-related questions in India. My goal is to work on making arguments for climate action through justifications from interdisciplinary climate impact studies.
Working Paper out!
- with Dr. K. S. Kavi Kumar and Dr. Anubhab Pattanayak.
Agricultural intensification and technological specialisation have led to the prevalence of mono-culture in India. Diversity within crop species has been gradually declining since the advent of Green Revolution in the 1960s. With increasingly frequent weather shocks, agricultural systems face the risk of yield and income losses. A quantitative assessment of district level agricultural data for the period 1966-2015 is used to understand whether crop diversification can cushion yield and income losses for farmers during droughts.
The results indicate that diversification enhanced resilience during a rainfall deficit period in the Green Revolution period. However, in the post-Green Revolution period, increased specialization mitigated the adverse effects of rainfall deficit. When the simultaneous occurrence of rainfall deficit and high temperature is considered as an alternative characterization of drought, crop diversity did not provide any insulation against such weather extremes. In the absence of any weather extremes, monoculture is found to be more lucrative owing to both supply and demand-side factors like improved inputs, irrigation and infrastructure facilities, the government's support prices, and pattern of consumption demand. Spatial trends in crop diversification also revealed some anomalies to these general results since some states in the country have unique cropping patterns.
Take a look at how COVID-19 spread in India over the past few months. Anita Christopher and I, along with Dr. Aiyar Anaka, use the the incredible open source data available at http://devdatalab.org to create these district level plots. Follow this space for updates on the video.
The video shows the district level community transmission as the disease spreads from the worst hit cities: Mumbai and Chennai.