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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Daily Overview

Session

Egg-Timer: Environmental Preferences and Behavior
Location: D-107
Session Chair: Subham Agarwal, KPMG

Presentation 7

Farmer’s preferences for different Crop Residue Management practices Evidence from Choice Experiment in Punjab India

Subham Agarwal¹, Eshita Gupta¹, Damini Thakur¹, Shibanjan Dutta¹, Heena Sharma², James Erbaugh³, Rajveer Singh², Gurpreet Singh², Priya Shyamsundar³

1: KPMG, India; 2: The Nature Conservancy, India; 3: The Nature Conservancy, Arlington

This study employs a Discrete Choice Experiment with 1,224 rice-growing farmers

across Punjab to quantify preferences for no-burn crop residue management (CRM)

technologies relative to the status quo of residue burning. Using a Random Parameter Logit framework, the analysis reveals that farmers, on average, prefer no-burn CRM alternatives, conditional on implementation attributes. Preferences for incorporationbased technologies—Smart Seeder and Super Seeder—are statistically indistinguishable, while mulching via the Happy Seeder is strongly disfavoured. Logistical reliability emerges as a dominant determinant of adoption: shorter machinery waiting times command substantial positive willingness-to-pay, underscoring the importance of timely access during narrow sowing windows. Adoption decisions are further shaped by economic perceptions; farmers who associate CRM with yield gains and fuel savings are significantly more likely to transition, whereas those perceiving high machinery costs or operating larger landholdings exhibit greater resistance. Overall, the findings suggest that residue burning persists due to biomass logistics and service delivery failures rather than farmer inertia, underscoring the need for policies that strengthen in-situ service provision, scheduling reliability, and hybrid advisory systems to enable sustainable biomass management.