Title: Exploring Feedstock Pathways to Three Billion Gallons of Sustainable Aviation Fuel: The Roles of Contracts and Bioenergy Crop Insurance Journal: Applied Economic Perspectives and Policy Authors: Ruiqing Miao, Bijesh Mishra, Mohit Anand, Madhu Khanna, Fahd Majeed Abstract: This study examines how contracts and bioenergy crop yield insurance incentivize biomass supply for three billion gallons of sustainable aviation fuel. Results show that meeting feedstock demand by growing uninsured miscanthus requires a fixed biomass price at $78–$86/metric ton, a revenue share of 32%–36%, or a land-leasing payment about $178/acre. Growing uninsured switchgrass requires similar terms. Bioenergy crop insurance partially substitutes for compensation for bearing production…
The Constitution of Nepal defines Nepal as a “socialism-oriented federal democratic republican state.” Multiple election cycles since the Maoist insurgency suggest that democracy has matured considerably. Political parties broadly operating within the republican democratic framework have consistently remained at the center of political competition. The most recent election, following the Gen-Z movement, arguably strengthened the foundations of the republican system. Political actors advocating a return to monarchy remained on the margins and failed to translate public unrest into electoral dominance. Historically, pro-monarchy sentiment tends to gain visibility when governments fail to deliver expected outcomes. The Gen-Z movement represented perhaps the…
In this post, I am sharing Python libraries that, I think, you should master for spatial analysis, economics, and econometrics. These tools are essential for handling geospatial data, performing econometric modeling, and extracting meaningful insights from complex datasets. Libraries like GeoPandas enable efficient spatial data manipulation and mapping, while PySAL provides advanced spatial econometrics capabilities. Statsmodels is crucial for statistical modeling and hypothesis testing, and pandas remains foundational for data cleaning and transformation. In addition, NumPy supports efficient numerical computing, and SciPy extends this with a broad set of scientific and statistical routines that are often used in econometric workflows.…
I already posted news about my research papers being accepted to present at the World Congress of Environmental and Resource Economists 2026 (WCERE 2026) and 2026 International Energy Workshop (IEW 2026). Besides, my research has been accepted in a few other meetings, which I have included in a single announcement excluding previously announced meetings. Anand, Mohit, Bijesh Mishra, Ruiqing Miao, and Madhu Khanna. (2026). “Exploring feedstock pathways to three billion gallons of sustainable aviation biofuel: the role of contracts and bioenergy crop insurance”. 2026 AAEA Annual Meeting, Kansas City, MO. Date: July 26-28, 2026. Mishra, Bijesh, Michael Morley, and Daniel…
My paper on agrivoltaics adoption—examining how U.S. solar developers perceive and drive dual land-use systems—has been accepted to the 2026 International Energy Workshop (IEW). Selected through a highly competitive review process, this work contributes to ongoing conversations on clean energy transitions, land-use efficiency, and sustainable innovation.
