J
Joohun Han Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Agricultural Economics and Agribusiness
4 h-index
10 pubs
37 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Joohun Han's research investigates economic and behavioral factors influencing adoption and market participation. He has studied the relationship between different crop acreages using Bayesian time series analysis and examined the supply-side effects of cannabis legalization. Han has also explored the impact of aging and underemployment on income disparity in agricultural households and analyzed the role of social networks in the adoption of new turfgrass varieties through Twitter data. His work includes assessing the effectiveness of vitamin A fortification in developing countries, considering key implementation factors, and utilizing machine learning to identify drivers of earthquake insurance uptake. Additionally, he has applied Bayesian triple-hurdle models to understand maize market participation in Zambia.
Metrics
- h-index: 4
- Publications: 10
- Citations: 37
Selected Publications
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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
John N. Ng’ombe
North Carolina Agricultural and Technical State University (US)
5 shared publications
- 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
- The supply-side effects of cannabis legalization
- A Bayesian triple-hurdle model of maize market participation in Zambia
Khondoker Abdul Mottaleb
Texas Tech University (US)
3 shared publications
- 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
Alvaro Durand‐Morat
University of Arkansas at Fayetteville
3 shared publications
In database
- 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
Chanjin Chung
Oklahoma State University (US)
2 shared publications
- The Role of the Social Network in Adopting New Turfgrass Varieties: An Analysis of Twitter Data
- Impact of Aging and Underemployment on Income Disparity between Agricultural and Non-Agricultural Households
Kwabena Nyarko Addai
Griffith University (AU)
2 shared publications
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
- A Bayesian triple-hurdle model of maize market participation in Zambia
Agness Mzyece
California State University, Stanislaus (US)
1 shared publication
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
Omphile Temoso
University of New England (AU)
1 shared publication
- Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
Yanqi Wu
Oklahoma State University Oklahoma City (US)
1 shared publication
- The Role of the Social Network in Adopting New Turfgrass Varieties: An Analysis of Twitter Data
A Bwalya
University of Zambia (ZM)
1 shared publication
- A Bayesian triple-hurdle model of maize market participation in Zambia
Rebecca N. Kiwanuka‐Lubinda
University of Zambia (ZM)
1 shared publication
- A Bayesian triple-hurdle model of maize market participation in Zambia
William Burke
Michigan State University (US)
1 shared publication
- A Bayesian triple-hurdle model of maize market participation in Zambia
Willy Mulimbi
University of Arkansas at Fayetteville
1 shared publication
In database
- Stock-to-Use Ratio and Price of Rice: Deciphering the Relationships
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