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A discrete choice experiment-based framework for designing farmer-centric voluntary carbon credit programs: A policy
Banda Sainath1, Ujjwal Kumar1, Anirban Mukherjee1
1ICAR Research Complex for Eastern Region, Patna, Bihar, 800014, India.
Indian smallholder farmers show willingness to join voluntary carbon credit (VCC) programs. Prioritizing upfront financial incentives and training support is key to boosting participation in climate-smart agriculture initiatives.
Area of Science:
- Agricultural Science
- Climate Change Mitigation
- Environmental Economics
Background:
- Smallholder agriculture in India is vulnerable to climate change impacts.
- Participation in voluntary carbon credit (VCC) programs for soil carbon sequestration is limited.
- VCC programs are in their early stages in India, with emerging scholarly assessment.
Purpose of the Study:
- To examine the willingness of Indian smallholder farmers to engage in VCC programs.
- To identify key program attributes influencing farmer participation.
- To address the micro-level evidence gap in VCC program engagement.
Main Methods:
- Conducted a Discrete Choice Experiment (DCE) survey with 100 smallholder farmers in Buxar, Bihar, India.
- Utilized conditional logit modeling to analyze farmer preferences.
- Employed latent class analysis to identify distinct farmer segments.
Main Results:
- Farmers strongly prefer upfront financial incentives over post-adoption payments.
- Targeted training support is a significant factor in farmer willingness to participate.
- Latent class analysis revealed three distinct farmer segments with varying attribute preferences.
Conclusions:
- Farmer-centered frameworks addressing local needs and promoting collective action are crucial for widespread VCC program adoption.
- VCC programs should prioritize upfront incentives and structured training to reduce barriers and risks.
- Findings offer actionable insights for policymakers and stakeholders promoting climate-smart agriculture in India.
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