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What Makes Hemp Economically Attractive? A Case of Kentucky Hemp Farmers

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  • Patalee, Buddhika
  • Jeong, Hoyeon
  • Mark, Tyler

Abstract

Industrial hemp is a versatile plant that can be grown for fiber, grain, and extraction. Over the past decade, hemp has generated significant interest because of its environmentally friendly and sustainable production practices. Kentucky has been one of the pioneer states to reintroduce hemp production in the United States. This paper aims to explore the factors affecting hemp production in Kentucky using a farm-level panel dataset accounting for county-specific economic, environmental, and agronomic factors. The main objective of this study is to provide preliminary insights into the relationship between variables rather than establishing causal relationships due to data constraints. A reduced form econometric model on farm-level hemp acres was developed using unique Kentucky data on hemp production from 2017 to 2019. The regression analysis results show that Kentucky hemp acreage positively responds to an increase in cannabidiol (CBD) biomass price. When CBD prices increase by 10%, hemp acreage would increase by approximately 1%. Based on the "with" and "without" county-level weather information model results, the study demonstrates that weather is an important determinant of Kentucky's total hemp acreage. Our analysis concludes that the hemp acreage response is due to changes in farm-specific, plant-specific, county-specific factors, and market information availability, meaning that a platform for CBD biomass price reporting and a friendly regulatory environment are critical for producers seeking to plan their hemp production. In addition, inconsistencies in state regulations and reporting standards may create additional challenges for hemp production. Thus, additional support through university extension programs and other statewide support services may help hemp producers to expand their production.

Suggested Citation

  • Patalee, Buddhika & Jeong, Hoyeon & Mark, Tyler, 2024. "What Makes Hemp Economically Attractive? A Case of Kentucky Hemp Farmers," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(2), May.
    • Handle: RePEc:ags:reowae:343136
    DOI: 10.22004/ag.econ.343136
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    References listed on IDEAS

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    1. Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
    2. Wang, Tong & Luri, Moses & Janssen, Larry & Hennessy, David A. & Feng, Hongli & Wimberly, Michael C. & Arora, Gaurav, 2017. "Determinants of Motives for Land Use Decisions at the Margins of the Corn Belt," Ecological Economics, Elsevier, vol. 134(C), pages 227-237.
    3. Murat Isik, 2004. "Environmental Regulation and the Spatial Structure of the U.S. Dairy Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 949-962.
    4. Ruiqing Miao & Madhu Khanna & Haixiao Huang, 2016. "Responsiveness of Crop Yield and Acreage to Prices and Climate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 191-211.
    5. Dayton M. Lambert & Kevin T. McNamara, 2009. "Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 617-630, November.
    6. Jane Kolodinsky & Hannah Lacasse & Katherine Gallagher, 2020. "Making Hemp Choices: Evidence from Vermont," Sustainability, MDPI, vol. 12(15), pages 1-15, August.
    7. Gaurav Arora & Hongli Feng & Christopher J. Anderson & David A. Hennessy, 2020. "Evidence of climate change impacts on crop comparative advantage and land use," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 221-236, March.
    8. Stephan J. Goetz & David L. Debertin, 2001. "Why Farmers Quit: A County-Level Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 1010-1023.
    9. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    10. Brinkman, Jeffrey & Mok-Lamme, David, 2019. "Not in my backyard? Not so fast. The effect of marijuana legalization on neighborhood crime," Regional Science and Urban Economics, Elsevier, vol. 78(C).
    11. Ifeoluwa Adesina & Arnab Bhowmik & Harmandeep Sharma & Abolghasem Shahbazi, 2020. "A Review on the Current State of Knowledge of Growing Conditions, Agronomic Soil Health Practices and Utilities of Hemp in the United States," Agriculture, MDPI, vol. 10(4), pages 1-15, April.
    12. Miller, Douglas & Plantinga, Andrew J., 1999. "Modeling Land Use Decisions with Aggregate Data," Staff General Research Papers Archive 1487, Iowa State University, Department of Economics.
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