Business sustainability of medicinal plant production under risk in the northwest region of Bangladesh: A simulation analysis

Medicinal plants (MP) provide an opportunity for profitable farming, agricultural diversification, and sustainable livelihoods in Bangladesh. This study aims to examine the business sustainability of MP production under risks, i.e., price, yield and market absorption. Data were collected from 196 individual farms that cultivate Aloe vera (L), Bombax ceiba (L) root, and Withania somnifera (L). The business viability analysis was carried out by evaluating the net present value (NPV), internal rate of return (IRR), benefit-cost ratio (BCR), return on investment (ROI), and real option value (ROV) of selected MP. The results indicated that the NPV was positive, the BCR was greater than 1, and the IRR exceeded the prevailing bank rate. It also found that the production of MP faces three major risks: pricing, yield, and market absorption. The simulation analysis's findings indicated that MP producers will eventually experience losses with embedded risks. On the other hand, the ROV finding indicated that NPV increases with option value over time. Farmers may receive profit from their investments in A. vera, B. ceiba root, and W. somnifera, and their farming business will eventually become sustainable in the long run. Thus, farmers should plan for producing MP in the long run and policy should be triggered on tackling risk reduction strategies through introducing marketing contract.

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Journal
PLoS ONE
Published
2025-10-08
DOI
https://doi.org/10.1371/journal.pone.0333780
Primary Topic
Phytochemistry and biological activity of medicinal plants
Type
article
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article

Business sustainability of medicinal plant production under risk in the northwest region of Bangladesh: A simulation analysis

Md Abu Saiyem, Mohammad Ismail Hossain, Μστ. Εσμάτ Αρα Βέγυμ, Mst. Fatema Begum
PLoS ONE
Phytochemistry and biological activity of medicinal plants
article

Business sustainability of medicinal plant production under risk in the northwest region of Bangladesh: A simulation analysis

Md Abu Saiyem, Mohammad Ismail Hossain, Μστ. Εσμάτ Αρα Βέγυμ, Mst. Fatema Begum
article en

Abstract

Medicinal plants (MP) provide an opportunity for profitable farming, agricultural diversification, and sustainable livelihoods in Bangladesh. This study aims to examine the business sustainability of MP production under risks, i.e., price, yield and market absorption. Data were collected from 196 individual farms that cultivate Aloe vera (L), Bombax ceiba (L) root, and Withania somnifera (L). The business viability analysis was carried out by evaluating the net present value (NPV), internal rate of return (IRR), benefit-cost ratio (BCR), return on investment (ROI), and real option value (ROV) of selected MP. The results indicated that the NPV was positive, the BCR was greater than 1, and the IRR exceeded the prevailing bank rate. It also found that the production of MP faces three major risks: pricing, yield, and market absorption. The simulation analysis's findings indicated that MP producers will eventually experience losses with embedded risks. On the other hand, the ROV finding indicated that NPV increases with option value over time. Farmers may receive profit from their investments in A. vera, B. ceiba root, and W. somnifera, and their farming business will eventually become sustainable in the long run. Thus, farmers should plan for producing MP in the long run and policy should be triggered on tackling risk reduction strategies through introducing marketing contract.

PLoS ONEVol. 20(10)
Bangladesh Agricultural University (BD), Bangladesh Centre for Advanced Studies (BD), Ministry of Agriculture (PS), Bangladesh Agricultural Research Institute (BD)
Openalex Percentile: Top 79%
Phytochemistry and biological activity of medicinal plants
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Business sustainability of medicinal plant production under risk in the northwest region of Bangladesh: A simulation analysis — Md Abu Saiyem, Mohammad Ismail Hossain, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS