IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i3p312-d1580895.html
   My bibliography  Save this article

Profitability Analysis of the Robusta Coffee Value Chain in the Tshopo Province, Democratic Republic of Congo

Author

Listed:
  • Louis Pasteur Bamenga Bopoko

    (The Regional Post-Graduate Training School on Integrated Management of Tropical Forests and Lands, ERAIFT, Kinshasa P.O. Box 15373, Democratic Republic of Congo)

  • Theodore Trefon

    (The Regional Post-Graduate Training School on Integrated Management of Tropical Forests and Lands, ERAIFT, Kinshasa P.O. Box 15373, Democratic Republic of Congo
    Earth Sciences Section of Royal Museum for Central Africa, 3080 Tervuren, Belgium)

  • Jean-Pierre Mate

    (The Regional Post-Graduate Training School on Integrated Management of Tropical Forests and Lands, ERAIFT, Kinshasa P.O. Box 15373, Democratic Republic of Congo
    Sciences Faculty, Department of Biology, University of Kinshasa, UNIKIN, Kinshasa P.O. Box 127, Democratic Republic of Congo)

  • Baudouin Michel

    (The Regional Post-Graduate Training School on Integrated Management of Tropical Forests and Lands, ERAIFT, Kinshasa P.O. Box 15373, Democratic Republic of Congo
    Modelling and Development Department, Gembloux Agro-Bio Tech, Liege University, 5030 Gembloux, Belgium)

Abstract

This article addresses the financial viability of agents in the robusta coffee sector. The objective is to calculate and analyze the profitability performance of the coffee sector in Tshopo in order to inform the subsequent development of business projects in the robusta coffee sector. Moreover, the analysis will assist decision-makers and investors in determining the optimal allocation of funds to the most profitable links in the robusta coffee sector in Tshopo. A cost-benefit analysis was conducted, employing a discounting methodology to evaluate the cash flows of agents engaged in the robusta coffee sector. This entailed the calculation of the net present value, internal rate of return, and payback period. The results demonstrate that the coffee sector is performing well, with agents’ cash flow sufficient to repay the initial investment. It can thus be concluded that, in consideration of the favorable profitability criteria, there is minimal risk in investing in the robusta coffee sector in Tshopo.

Suggested Citation

  • Louis Pasteur Bamenga Bopoko & Theodore Trefon & Jean-Pierre Mate & Baudouin Michel, 2025. "Profitability Analysis of the Robusta Coffee Value Chain in the Tshopo Province, Democratic Republic of Congo," Agriculture, MDPI, vol. 15(3), pages 1-12, January.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:3:p:312-:d:1580895
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/3/312/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/15/3/312/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:15:y:2025:i:3:p:312-:d:1580895. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.