Evidence map›Paper›PMID 41361857›Full record

ArticleJournal of cannabis research2025

Economic feasibility and risk analysis of industrial hemp production: a comparative assessment of floral, fiber, and grain enterprises in North Carolina, USA.

Obed Quaicoe, Fafanyo Asiseh, Atta Aloka, Omoanghe Isikhuemhen, Felicia Anike

Abstract read
In one paragraph

Article in Journal of cannabis research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Obed QuaicoeDepartment of Agribusiness, Applied Economics and Agriscience Education, College of Agriculture and Environmental Sciences, North Carolina Agricultural and Technical State University, 1601 E. Market St, Greensboro, NC, 27411, USA. oquaicoe@ncat.edu.
Fafanyo AsisehDepartment of Economics, College of Business and Economics, North Carolina Agricultural and Technical State University, 1601 E. Market St, Greensboro, NC, 27411, USA.
Atta AlokaDepartment of Agribusiness, Applied Economics and Agriscience Education, College of Agriculture and Environmental Sciences, North Carolina Agricultural and Technical State University, 1601 E. Market St, Greensboro, NC, 27411, USA.
Omoanghe IsikhuemhenDepartment of Natural Resources, College of Agriculture and Environmental Sciences, North Carolina Agricultural and Technical State University, 1601 E. Market St, Greensboro, NC, 27411, USA.
Felicia AnikeDepartment of Natural Resources, College of Agriculture and Environmental Sciences, North Carolina Agricultural and Technical State University, 1601 E. Market St, Greensboro, NC, 27411, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the economic viability of industrial hemp production in North Carolina, focusing on three production systems: floral, grain, and fiber. Enterprise budgets were developed to assess costs and returns per hectare. Risk-based investment metrics, including net present value (NPV), internal rate of return (IRR), and benefit–cost ratio (BCR), were projected over a five-year horizon. Results indicate that floral hemp has the highest estimated production costs but also offers the greatest potential, while fiber and grain hemp present more moderate but stable outcomes. Estimated IRRs for all three systems exceeded the 5.5% discount rate, and BCRs were above one, suggesting that revenues can cover costs under baseline conditions. Sensitivity analyses highlight the influence of yield and market price variability, particularly for floral hemp, which shows higher upside potential, but greater risk compared to grain and fiber. Monte Carlo simulations reinforce these findings, demonstrating that profitability is possible across all hemp types but subject to significant uncertainty, especially in floral markets. The analysis also reveals that limited processing capacity and the absence of equilibrium pricing in North Carolina contribute to market inefficiencies, constraining producer profitability. Overall, these results provide benchmark financial estimates for growers and policymakers while the region’s hemp markets, and processing infrastructure continue to mature.

Indexed as

Benefit–cost analysisEnterprise budgetHemp productionInternal rate of returnMonte Carlo simulationNet present value

Identifiers

PMID41361857
PMCPMC12781740

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.