Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD

Strategic Development Assessment: Evaluating Maximum Expected Monetary Value (EMV) and Expected Opportunity Loss (EOL) for the Cross River Watershed

Ohaji Evans Chukwudi Paulinus (B.Eng, M.Eng, PhD), Mahmud Hussaini (HND, B.Sc. PGD, M.Eng

Abstract

This research explores optimal strategic decision-making for hydropower development in the Cross River Basin, with a focus on determining Expected Monetary Value (EMV) and Expected Opportunity Loss (EOL) through the use of Decision Modeling (BDM). The objective is to overcome challenges and optimize resource planning for sustainable development. Comprehensive data collection was facilitated through collaborative efforts with the Cross River Basin Development Authority (CRBDA), Parastatals, and Ministries. The collected data was validated using the Pearson moment coefficient (R2 = 0.9376).The research methodology encompasses dam project experiments, economic efficiency estimation, net benefit analysis, and the application of BDM. Key findings highlight hydropower with a Maximum EMV of 1.69 and a Minimum EOL of -0.79. The validation of models resulted in R2 = 0.999, establishing it as a preferred choice for development. Graphical representation illustrates the dynamics between EMV and EOL.The study underscores the significance of employing strategic decision-making models like BDM, providing insights to address challenges and optimize resource planning. Hydropower is identified as aligning with national goals and Sustainable Development Goals (SDGs). Recommendations advocate for strategic policy implementation, emphasizing the adoption of renewable energy. BDM's efficacy in drawing inferences from historical information addresses dimensionality challenges.The suggestion to deploy BDM by the Federal Government aligns with national SDG pursuits, integrating hydropower as a renewable energy source. The research solidifies BDM's effectiveness, offering valuable insights. References are provided to support the methodology and enrich the understanding of decision modeling and watershed management.

Keywords

Expected Monetary ValuesExpected Opportunity LossBayelsa Decision ModelHydropowerSDGsRenewable Energy

References

1. Eme L.C. and Ohaji, E (2019)Cross River Basin, Nigeria. Civil and Environmental Research. Retrieved from https://www.iiste.org/Journals/index.php/CER/article/view/46852. 2. 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 thejournal:10.7176/CERhttp://www.crossref.org/01company/17crossref_members.html. 3. Jiménez, M. E., Gómez, J. D., Agudelo, P. A., & Small, C. (2018). Basin-scale impacts of hydropower development on the Mompós Depression wetlands, Colombia. Hydrology and Earth System Sciences, 22(5), 2839-2853. https://doi.org/10.5194/hess-22-2839-2018

More Articles from INTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH

Governance Quality and Capital Inflows in Selected Economic Community of West African States (Ecowas)

Author: Ekere, Edobot, Chukwu, Sancho Nwobuisi , Amadi, Sonny Nwonodi , Ewubare, Dennis Brown

Farmer–Herder Crises and Its Implications on Food Security in Sankera, Benue State, Nigeria: An Empirical Mixed-Methods Study

Author: Iorkaan Samuel Kuma, ., Yange Clement Terlumun, ., Bam Clement Liambee, Hubert, Keghnen Katyona, ., Terngu Paul Ugosor

The Cost of Emotional Labour: Implications for Commercializing Human Resource Outcomes in Modern Organizations

Author: Samuel, Ogonda Victor PhD, Uhuru, Goodluck Prince. PhD, Agara Splendorpeace Dunbo PhD