Evidence map›Paper›PMID 41061019›Full record

ArticlePloS one2025

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

Md Abu Saiyem, Mst Fatema Begum, Mst Esmat Ara Begum, Mohammad Ismail Hossain

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Md Abu SaiyemDepartment of Agricultural Extension under Ministry of Agriculture, Dhaka, Bangladesh.
Mst Fatema BegumCentre for Innovation Studies, Dhaka, Bangladesh.
Mst Esmat Ara BegumTuber Crops Research Centre, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Mohammad Ismail HossainDepartment of Agribusiness and Marketing, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-3213-2337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgricultureCommercePlants, MedicinalAloeBangladeshComputer SimulationCost-Benefit AnalysisHumans

Identifiers

PMID41061019
PMCPMC12507293

What OpenQuestion holds

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LicenceCC BY
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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.