Jyoti Kumari Jyotshna
I am a PhD scholar in the Department of Economics, Delhi School of Economics, University of Delhi. I study how Indian agriculture can grow sustainably and inclusively under climate stress, with millets as the running case: their productivity under heat and water stress, the prices their growers actually receive, and who shares in the gains.
Research
My work sits at the intersection of agricultural, development and environmental economics, using applied econometrics on long-run district panels and nationally representative household surveys.
Sustainable and Inclusive Growth in Agricultural Systems under Climate Stress
Supervisor: Dr Devesh Birwal · Department of Economics, Delhi School of Economics, University of Delhi
Papers
Impact of Climate Change on Millet Productivity in India
Abstract
Using an unbalanced district-level panel of major millet-producing states from ICRISAT and the Directorate of Economics and Statistics (1966–2015), we estimate two-way fixed-effects models of the productivity of total millets, kharif and rabi sorghum, pearl millet and finger millet. Responses to climate differ sharply across crops: higher temperatures reduce yields of total millets, pearl millet and finger millet, while water deficit hurts both sorghums and pearl millet. A negative temperature–irrigation interaction indicates that irrigation alone does not offset heat stress. Even "climate-resilient" crops therefore call for crop-specific adaptation strategies.
Minimum Support Price Realisation Gaps in India: A Comparison of Millets, Paddy and Wheat
Abstract
An announced MSP is not a guaranteed price. Using crop-level sale records from the NSS 77th Round Situation Assessment Survey (2018–19), I compare how far farm-gate prices fall below the MSP for millets (jowar, bajra, ragi) and for paddy and wheat. With survey weights, state fixed effects, a three-fold Blinder–Oaxaca decomposition and median regressions, millet sales realise prices about 19.6 percentage points further below the MSP than cereal sales after controls, and roughly nine-tenths of the raw gap is not explained by farmer characteristics. The shortfall points to thin procurement and market linkages for millets, which price policy must address if it is to support millet-led diversification.
Political Competition and Clean Energy Transitions: Institutional Evidence from India's Renewable Energy Governance
Abstract
Using annual data for India and an ARDL bounds-testing framework, this paper examines how political competition, per-capita disposable income, government revenue expenditure and broad money relate to renewable energy consumption in the short and long run. Political competition is associated with lower renewable energy use, consistent with policy uncertainty deterring long-horizon investment, while public revenue expenditure is a significant positive driver.
Bridging the Market Divide: Market Channel Choice and Farmer Agency in India's Paddy Economy
Why do most paddy farmers still sell in informal local markets despite decades of APMC regulation? Drawing on transaction-cost economics, this project asks whether informality reflects exclusion or rational choice, and studies the roles of price, scale, financial inclusion and social identity.
- Jyotshna, J. K., Gothwal, N., & Singh, Y. (2024). Major factors that affect the productivity of banana in the context of India. Annals.
- Jyotshna, J. K., & Kumari, N. (2024). A time series study examining the relationship between public debt and economic growth in the United States from 1984 to 2021. Goya Journal.
- Jyotshna, J. K., & Chand, P. (2023). The patent system stimulates innovation. Goya Journal.
Teaching & research experience
Education
Honours
- PhD Paper Presentation Award, Indian Society of Agricultural Economics
- First Prize, National Seminar on Working Women in the Unorganised Sector, National Commission for Women (2020)
- Second Prize, Poster Competition on Environmental Economics, Banaras Hindu University
- ICSSR-sponsored Capacity Building Programme, IIT Roorkee (2022)
Methods & tools
Panel data (fixed and random effects), difference-in-differences, regression discontinuity, instrumental variables, time series and ARDL, Blinder–Oaxaca decomposition, quantile regression, survey design. Stata, R, Python, SPSS.
Contact
Department of Economics, Delhi School of Economics, University of Delhi, New Delhi 110007
jyotikumarijyotshna999@gmail.com
A full CV is available on request.