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

Authors

DOI:

https://doi.org/10.20525/ijrbs.v11i4.1799

Keywords:

Liberia, natural rubber, fuzzy logic, sustainability, AHP

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.

Downloads

Download data is not yet available.

References

Achterbosch, T. (2014). Cash crops and food security; Contributions to income, livelihood risk and agricultural innovation. 59.

ANRPC. (2021). The Association of Natural Rubber Producing Countries (ANRPC). http://www.anrpc.org/

Baumann, M., Weil, M., Peters, J. F., Chibeles-Martins, N., & Moniz, A. B. (2019). A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications. Renewable and Sustainable Energy Reviews, 107, 516–534. https://doi.org/10.1016/j.rser.2019.02.016

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9

Chan, F. T. S., Chan, H. K., Ip, R. W. L., & Lau, H. C. W. (2007). A decision support system for supplier selection in the airline industry. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(4), 741–758. https://doi.org/10.1243/09544054JEM629

Das, B., & Pal, S. C. (2020). Assessment of groundwater vulnerability to over-exploitation using MCDA, AHP, fuzzy logic and novel ensemble models: a case study of Goghat-I and II blocks of West Bengal, India. Environmental Earth Sciences, 79(5), 104. https://doi.org/10.1007/s12665-020-8843-6

Guersola, M., De Lima, E. P., & Steiner, M. T. A. (2018). Supply chain performance measurement: a systematic literature review. International Journal of Logistics Systems and Management, 31(1), 109–131. https://doi.org/10.1504/IJLSM.2018.094193

Iimi, A., & Rao, K. (Eds.). (2018). Spatial Analysis of Liberia's Transport Connectivity and Potential Growth. The World Bank. https://doi.org/10.1596/978-1-4648-1286-6

ITA. (2021). Liberia - Market Overview. https://www.trade.gov/country-commercial-guides/liberia-market-overview

Kaya, ?., Çolak, M., & Terzi, F. (2019). A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strategy Reviews, 24, 207–228. https://doi.org/10.1016/j.esr.2019.03.003

Kaymaz, Ç. K., Birinci, S., & K?z?lkan, Y. (2021). Sustainable development goals assessment of Erzurum province with SWOT-AHP analysis. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-021-01584-w

Kraaij, F. P. M. van der. (2015). Liberia: from the love of liberty to paradise lost (Issue 21). African Studies Centre.

Kramar, U., & Topolšek, D. (2018). Applications of Fuzzy Analytic Hierarchy Process in Urban Mobility System. Tehnicki Vjesnik - Technical Gazette, 25(5). https://doi.org/10.17559/TV-20160927163837

Lin, R., Liu, Y., Man, Y., & Ren, J. (2019). Towards a sustainable distributed energy system in China: decision-making for strategies and policy implications. Energy, Sustainability and Society, 9(1), 51. https://doi.org/10.1186/s13705-019-0237-9

Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Systems with Applications, 161, 113738. https://doi.org/10.1016/j.eswa.2020.113738

Manivong, V., & Cramb, R. A. (2008). The Adoption of Smallholder Rubber Production by Shifting Cultivators in Northern Laos: A Village Case Study. In P. K. R. Nair, D. J. Snelder, & R. D. Lasco (Eds.), Smallholder Tree Growing for Rural Development and Environmental Services (Vol. 5, pp. 117–137). Springer Netherlands. https://doi.org/10.1007/978-1-4020-8261-0_5

Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516–571. https://doi.org/10.1080/1331677X.2015.1075139

Mulbah, F. F. B., Ritho, C., & Mburu, J. (2021). Do transaction costs influence smallholder rubber farmers' choice of selling outlets? Evidence from Liberia. Development in Practice, 31(1), 69–80. https://doi.org/10.1080/09614524.2020.1789068

NationMaster. (2019). Natural Rubber Production in Liberia. In NationMaster. https://www.nationmaster.com/nmx/timeseries/liberia-natural-rubber-production

Navarro, I. J., Penadés-Plà, V., Martínez-Muñoz, D., Rempling, R., & Yepes, V. (2020). Life Cycle Sustainability Assessment For Multi-Criteria Decision Making In Bridge Design: A Review. Journal Of Civil Engineering And Management, 26(7), 690–704. https://doi.org/10.3846/jcem.2020.13599

OEC. (2017). OEC - Liberia (LBR) Exports, Imports, and Trade Partners. https://legacy.oec.world/en/profile/country/lbr/

Outram, Q. (2016). Africa south of the sahara 2017: Liberia: Economy. Taylor & Francis.

Pelissari, R., Khan, S. A., & Ben-Amor, S. (2021). Application of Multi-Criteria Decision-Making Methods in Sustainable Manufacturing Management: A Systematic Literature Review and Analysis of the Prospects. International Journal of Information Technology & Decision Making, 1–23. https://doi.org/10.1142/S0219622021300020

Penadés-Plà, V., García-Segura, T., Martí, J., & Yepes, V. (2016). A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design. Sustainability, 8(12), 1295. https://doi.org/10.3390/su8121295

Ruiz Bargueño, D., Salomon, V. A. P., Marins, F. A. S., Palominos, P., & Marrone, L. A. (2021). State of the Art Review on the Analytic Hierarchy Process and Urban Mobility. Mathematics, 9(24), 3179. https://doi.org/10.3390/math9243179

Saaty, T. L. (1988). What is the Analytic Hierarchy Process? In Mathematical Models for Decision Support (pp. 109–121). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_5

Sahani, N. (2021). Application of hybrid SWOT-AHP-FuzzyAHP model for formulation and prioritization of ecotourism strategies in Western Himalaya, India. International Journal of Geoheritage and Parks, 9(3), 349–362. https://doi.org/10.1016/j.ijgeop.2021.08.001

Salvatore, P., A., A., V., G., J., S.-B., L., N., E., G., E., P., & A., M. (2021). Natural rubber systems and climate change: Proceedings and extended abstracts from the online workshop, 23–25 June 2020. Center for International Forestry Research (CIFOR). https://doi.org/10.17528/cifor/008029

Sarjono, H., Seik, O., Defan, J., & Simamora, B. H. (2020). Analytical hierarchy process (Ahp) in manufacturing and non-manufacturing industries: A systematic literature review. Systematic Reviews in Pharmacy, 11(11), 158–170. https://doi.org/10.31838/srp.2020.11.23

Seward, D. M. (2021). Case Study on Value Chain Analysis of Natural Resource Exports in Liberia. Journal of Service Science and Management, 14(06), 597–626. https://doi.org/10.4236/jssm.2021.146038

SIPH. (2021). Production. https://siph.groupesifca.com/en/natural-rubber/production

Sitorus, F., Cilliers, J. J., & Brito-Parada, P. R. (2019). Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends. Expert Systems with Applications, 121, 393–417. https://doi.org/10.1016/j.eswa.2018.12.001

Sumo, P. D. (2019). Impacts of Ebola on Supply Chains in MRB Countries. International Journal of Research in Business and Social Science (2147- 4478), 8(3), 122–139. https://doi.org/10.20525/ijrbs.v8i3.264

Tiseo, I. (2022). Liberia natural rubber exports value 2020. In Statista. https://www.statista.com/statistics/1184220/natural-rubber-exports-value-from-liberia/

Umar, H. Y., Giroh, D. Y., Agbonkpolor, N. B., & Mesike, C. S. (2011). An Overview of World Natural Rubber Production and Consumption: An Implication for Economic Empowerment and Poverty Alleviation in Nigeria. Journal of Human Ecology, 33(1), 53–59. https://doi.org/10.1080/09709274.2011.11906350

Yap, J. Y. L., Ho, C. C., & Ting, C.-Y. (2019). A systematic review of the applications of multi-criteria decision-making methods in site selection problems. Built Environment Project and Asset Management, 9(4), 548–563. https://doi.org/10.1108/BEPAM-05-2018-0078

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Downloads

Published

2022-06-05

How to Cite

Sumo, P. D., Himbye, K. S. ., Sanoe, A. A. ., Gono, M., & Sumo, D. Z. . (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), 11(4), 421–431. https://doi.org/10.20525/ijrbs.v11i4.1799

Issue

Section

Related Topics in Social Science