Joohun Han
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Oklahoma State University (2021–2024); University of Arkansas System (2026); Oklahoma State University Oklahoma City (2024)
Faculty Researcher
Agricultural Economics and Agribusiness
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Joohun Han's research focuses on applying quantitative methods to agricultural and economic questions. His work has investigated factors influencing insurance uptake, the relationships between crop acreages using time-series analysis, and the economic effects of cannabis legalization. Han also studies market participation for smallholder farmers in developing countries, employing statistical models to analyze complex decision-making processes. His research extends to the adoption of new agricultural technologies, examining the role of social networks. Additionally, he has explored the impact of demographic and employment factors on income disparities within agricultural households and has published on the implementation of vitamin A fortification programs in developing nations.
Metrics
- h-index: 5
- Publications: 10
- Citations: 43
Selected Publications
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How important is organic production in purchase decisions? Evidence from a best–worst scaling on rice in the U.S (2026)
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Stock-to-Use Ratio and Price of Rice: Deciphering the Relationships (2025)
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A Bayesian triple-hurdle model of maize market participation in Zambia (2025)
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Vitamin A fortification: key factors and considerations for effective implementation (2025)
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Does sin tax on the legal market facilitate the illicit market? An ex‐ante assessment on the US cannabis market (2024)
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The Role of the Social Network in Adopting New Turfgrass Varieties: An Analysis of Twitter Data (2024)
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Uncovering the factors that affect earthquake insurance uptake using supervised machine learning (2023)
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The relation between wheat, soybean, and hemp acreage: a Bayesian time series analysis (2023)
Collaboration Network
Top Collaborators
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
- The relation between wheat, soybean, and hemp acreage: a Bayesian time series analysis
- Does sin tax on the legal market facilitate the illicit market? An ex‐ante assessment on the US cannabis market
- A Bayesian triple-hurdle model of maize market participation in Zambia
- Does sin tax on the legal market facilitate the illicit market? An ex‐ante assessment on the US cannabis market
- Vitamin A fortification: key factors and considerations for effective implementation
- Stock-to-Use Ratio and Price of Rice: Deciphering the Relationships
- Does sin tax on the legal market facilitate the illicit market? An ex‐ante assessment on the US cannabis market
- Vitamin A fortification: key factors and considerations for effective implementation
- Stock-to-Use Ratio and Price of Rice: Deciphering the Relationships
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
- A Bayesian triple-hurdle model of maize market participation in Zambia
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
- The Role of the Social Network in Adopting New Turfgrass Varieties: An Analysis of Twitter Data
- The Role of the Social Network in Adopting New Turfgrass Varieties: An Analysis of Twitter Data
- A Bayesian triple-hurdle model of maize market participation in Zambia
- A Bayesian triple-hurdle model of maize market participation in Zambia
- A Bayesian triple-hurdle model of maize market participation in Zambia
- Stock-to-Use Ratio and Price of Rice: Deciphering the Relationships
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