Chika, Eme Luke and Ndidi, Moluno Anthony (2025) Game Theory–Driven Optimization of Agri-Business Value Chain Interventions for Sustainable Agricultural Systems in the Niger Delta. International Journal of Innovative Science and Research Technology, 10 (6): 25jun1406. pp. 2753-2761. ISSN 2456-2165
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, Akwa Ibom, Bayelsa, Cross River, Delta, Edo, Imo, Ondo, Rivers, 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 greater weight on federal redistribution (18.48) and social well-being, making Nutrition Processing more favorable.The paper concludes that Nutrition Production & Processing as the optimal economic activity based on a multi-criteria evaluation.This selection likely prioritizes federal economic redistribution, social well-being, and environmental impact, despite its lower economic efficiency compared to other alternatives.
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