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Assessment of factors influencing natural rubber production among smallholder farmers in Liberia using Fuzzy AHP

Author

Listed:
  • Peter Davis Sumo

    (Zhejiang Sci-Tech University, College of Textile Science & Engineering and International Institute of Silk Hangzhou, Zhejiang, China)

  • Kollie Samuel Himbye

    (Zhejiang Gongshang University, School of Management Science and Engineering, China)

  • Alieu A. Sanoe

    (Zhejiang Sci-Tech University, School of Economics and Management, Hangzhou, Zhejiang, China)

  • Mercy Gono

    (Zhejiang Financial College, School of International Exchange, Hangzhou, Zhejiang, China)

  • Dorris Z. Sumo

    (Zhejiang Gongshang University, School of Management Science and Engineering, China)

Abstract

Natural Rubber (NR) is an important agricultural product utilized in various sectors. NR is one of the world's biggest industries and a critical component in many industries such as automotive, manufacturing, and medicine. Liberia is a top producer of NR with over 127 years of production history. However, since 2014, Liberia's NR net production has decreased by 0.7% year on year and has fallen behind Sri Lanka. NR production in Liberia has experienced scant performance due to many factors. In this project, we employ mixed-method research to examine the factors influencing the decline of the Liberian NR supply chain and propose solutions that will further stimulate the industry's growth. We conduct an MCDM study among 34 smallholder rubber farmers from Grand Bassa, Margibi and Bong counties. Their grading of ten policy objectives and recommendations are programmed using Fuzzy AHP. Key Words:Liberia, natural rubber, fuzzy logic, sustainability, AHP

Suggested Citation

  • Peter Davis Sumo & Kollie Samuel Himbye & Alieu A. Sanoe & Mercy Gono & Dorris Z. Sumo, 2022. "Assessment of factors influencing natural rubber production among smallholder farmers in Liberia using Fuzzy AHP," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(4), pages 421-431, June.
    • Handle: RePEc:rbs:ijbrss:v:11:y:2022:i:4:p:421-431
    DOI: 10.20525/ijrbs.v11i4.1799
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    References listed on IDEAS

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    1. Mariana Guersola & Edson Pinheiro De Lima & Maria Teresinha Arns Steiner, 2018. "Supply chain performance measurement: a systematic literature review," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 31(1), pages 109-131.
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