Lawson Connor
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Louisiana State University (2020–2021); Louisiana State University Agricultural Center (2020–2021); University of Arkansas System (2024–2025)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Lawson Connor's research focuses on agricultural economics, with a particular emphasis on crop insurance, soil health practices, and the economic drivers influencing farmer decisions. His work investigates the participation rates in crop insurance programs and their asymmetric effects on crop yield risk, specifically for corn and soybean production in the U.S.
Connor has also examined the role of economic and policy factors in promoting climate-smart soil health practices. His publications explore the actuarial implications of prevented planting coverage and the impact of crop insurance on agricultural loan delinquencies. He has collaborated with researchers from the University of Arkansas at Fayetteville and Arkansas State University on these topics. Connor's scholarly output includes 31 publications, with an h-index of 5 and 149 total citations.
Metrics
- h-index: 4
- Publications: 25
- Citations: 103
Positions
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Assistant Professor 2022–presentUniversity of Arkansas Department of Agricultural Economics and Agribusiness ORCID
Selected Publications
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Subsidy expansions, pricing wedges, and derivative markets: Evidence from livestock risk protection (2026)
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Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain (2025)
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Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo (2025)
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Economic and Policy Drivers of Climate-Smart Soil Health Practices in the United States (2025)
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Determinants of Market Participation among Milk Producers in Kyrgyzstan (2025)
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Actuarial implications of prevented planting coverage (2024)
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Diversified crop rotations mitigate agricultural losses from dry weather. (2024)
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Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation (2023)
Collaboration Network
Top Collaborators
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo
- Determinants of Market Participation among Milk Producers in Kyrgyzstan
- Subsidy expansions, pricing wedges, and derivative markets: Evidence from livestock risk protection
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Diversified crop rotations mitigate agricultural losses from dry weather.
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