International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 4 2025
DOI: 10.56201/ijemt.vol.11.no4.2025.pg252.265


Optimizing Agri-Business Commodity Value Chain Interventions for Sustainable Agriculture in the Niger Delta Using Game Theory

Moluno Anthony Ndidi, Eme Luke Chika


Abstract


This research is aimed at Applying Game decision model in Agribusiness value chain intervention project for sustainable Agriculture in Niger Delta. The aim is to improve decision making processes in selection of agribusiness commodity value chain to enhamce profitability and sustainability. The methodology applied involves data which were collected from the beneficiaries (Incubators and Incubatess) in selected beneficiaries of LIFE-ND agribusiness cluster across the 98 selected local government across the Nine states, Nine LIFE-ND mandate State Offices of Abia, Bayelsa, Cross River, Akwa Ibom, Edo, Delta, Rivers, Ondo, Imo, and the National Coordinating Office in Port Harcourt and Federal Ministry of Agriculture and Rural Development. The methods used in the experiments for the Agri-business intervention projects were as follows: estimating the performance of economic efficiency of the multipurpose projects, estimating performance of the net benefits of the interaction between multi-purpose and the multi-objective, assembling the total net benefits of the interaction between multipurpose and the multi-objective, analyzing the data obtained as the total net benefits to ascertain the reliability and validation of the sources of data by using: Contingency coefficient and association, Pearson moment correlation coefficient and T- distribution test. The results indicate that Nutrition Production & Processing is the optimal solution, achieving an optimal function value of 25/462.This suggests that, given the constraints and the evaluation criteria, Nutrition Processing provides the best balance among the economic and social factors. While Poultry Production & Processing has the highest EMV (8.16) and Economic Efficiency (15.1), it was not selected as optimal. Nutrition Production & Processing may have been chosen due to a balance across various socio-economic factors rather than pure monetary benefits. The model likely places great


keywords:

Agri-business, Value-chain, Modeling, Game Theory.


References:


1. Mukand S. B. et al (2012) River Basins: A global Analysis of River Basins science and
transboundary management. Report number: ISBN 92-808-6022-4 Affiliation: United
Nations University Institute for Water, Environment and Health.
[Link](https://www.researchgate.net/publication/295073861).
2 Moluno A.N, Eme L.C (2025)Efficiency and Profitability Analysis of Agro-production in the
Niger Delta: A data Envelopment and Tobit Regression Approach. Malaysian Journal of
Sustainable Agriculture (MJSA) 9(2) (2025) 115-120
3. Michael .M. (2011) Linear Program Solver (Lips V.1.1.4) Department of Operation
Research, State University of Management, Moscow, Russia.
4 Ohaji E.C, Mahmud H (2024) Optimizing Watershed Management: An Integrated Approach
with Game Theory-Linear Programming, and Dominance
Property.https://www.researchgate.net/publication/381108022
5 Eme L.C. and Ohaji, E (2019). Bayesian Decision Modeling in Watershed Management – Cross
River Basin, Nigeria The International Institute for Science, Technology and Education
(IISTE), Journal of Civil Engineering and Environmental Research,Vol.11, No. 2, Pg 105-
120,www.iiste.orgISSN (Paper) 2224-5790, ISSN (Online) 2225-0514.DOI of the journal:
10.7176/CER http://www.crossref.org/01company/17crossref_members.html
[6] Madani, K. (2010). Game theory and water resources. Journal of Hydrology, 381(3–4), 225–
238. https://doi.org/10.1016/j.jhydrol.2009.11.045


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