De-Risking the Atom: An Integrated Framework of Economic Incentives and Legislative Reforms for Nuclear Energy Deployment in Nigeria | Chapter 5 | Physical Science: New Insights and Developments Vol. 3

 

Nigeria's ambitious energy transition and economic development goals are critically hampered by a pervasive energy deficit and an over-reliance on volatile fossil fuels. While nuclear power presents a compelling solution for delivering stable, low-carbon baseload electricity, its historical challenges (prohibitive capital costs, complex risk profiles, and stringent regulatory demands) have stalled its adoption across emerging economies. This study addresses a critical gap in the literature by moving beyond technical feasibility studies to propose a holistic, Nigeria-specific framework that synergistically combines innovative economic models, targeted legislative incentives, and robust risk mitigation strategies to de-risk nuclear investments. Through a mixed-methods approach involving systematic literature review, comparative policy analysis, and preliminary economic modelling, the study evaluates the fundamental economic determinants of nuclear viability within Nigeria's unique context. It identifies the high cost of capital, driven by perceived risks, as the primary barrier. A quantitative analysis shows that with a weighted average cost of capital (WACC) reduced from a risky 12% to a de-risked 8%, the Levelized Cost of Electricity (LCOE) for nuclear power in Nigeria could fall from approximately $102/MWh to a competitive $72/MWh. Consequently, the chapter prescribes a detailed framework encompassing financial instruments like tax credits and sovereign guarantees, legislative reforms for regulatory certainty, and layered risk-sharing mechanisms. The analysis concludes that nuclear energy's economic viability in Nigeria is not intrinsic but can be engineered through deliberate policy and legislative action. The chapter advocates for a phased strategy, prioritising Small Modular Reactors (SMRs), and provides a concrete, actionable roadmap for policymakers to translate nuclear ambition into tangible, bankable projects.

 

 

Author(s) Details

EZREL TABIOWO
National Assembly, Federal Republic of Nigeria, Three Arms Zone, Abuja-FCT, Nigeria.

 

Please see the book here :- https://doi.org/10.9734/bpi/psniad/v3/6465

 

Mitigating Corruption in Public Procurement: The Role of E-Procurement Risk Strategies in Tanzania | Chapter 2 | New Advances in Business, Management and Economics Vol. 10

 

Background: The government of Tanzania has started to fully implement an online procurement system since 2020 as an effort to increase efficiency and reduce corruption in the public procurement sector. However, despite these reforms, corruption has persisted in various forms.

 

Purpose: This study aimed to examine the effect of e-procurement risk mitigation strategies on preventing corruption in public procurement following the widespread use of bad corrupt practices in the public procurement process.

 

Methods: The study employed a case study design, and the study population involved 140 staff working at the Ministry of Livestock and Fisheries and officials working at the Prevention and Combating Corruption Bureau (PCCB). The study employed the Yamane formula to get a sample size of 104 respondents, whereby questionnaires, an interview guide and a documentary checklist were used as data collection instruments, and during administering the tools, all respondents were responsive, which made a response rate of 100%. The collected data were analysed using descriptive statistics and inferential statistics (regression model) to determine the effect of e-procurement on preventing corruption in public procurement.

 

Results: The results indicate that three variables out of five, namely visibility (0.000), risk control (0.016), and political control (0.004), had a p-value < 0.05, which means that these variables significantly contribute to preventing corruption in public procurement under e-procurement.

 

Conclusion: When public procurement practitioners and suppliers use the e-procurement system effectively, it will prevent physical interactions between the parties, thus ending corruption. In this case, policy makers and decision makers should establish a robust mechanism of preventing corruption in public procurement by digitalising the procurement practices through automating the whole process by using e-procurement technology, as well as integrating all participants and stakeholders. This will establish a transparent procurement process whereby all online transactions are visible to all parties, thus increasing the integrity of procurement practitioners and suppliers on the other side. The awareness campaign and empowerment of institutions and regulatory frameworks will help end loopholes that still tempt corruption in public procurement. This study was limited to two organisations, which may not achieve the principle of study generalisation on corruption in Tanzania. Future research should include a larger and more diverse sample of public institutions across different sectors and regions of Tanzania.

 

 

Author(s) Details

Chawala, E
Ministry of Livestock and Fisheries, P.O. Box Dodoma, Tanzania.

 

Maagi, B.
College of Business Education, P.O. Box 2077, Dodoma, Tanzania.

 

Please see the book here:- https://doi.org/10.9734/bpi/nabme/v10/6128

DevOps-Powered Continuous Testing: Driving Efficiency in Property and Casualty Cloud Migration | Chapter 5 | Science and Technology: Developments and Applications Vol. 7

Background: Shifting to the cloud comes with security threats and systems performance glitches or integrating legacy applications with brand-spanning new cloud infrastructures are the predicaments they need to engage in. Continuous testing as DevOps emerged as a remedy against the problems to make for smooth and successful cloud migration.

Aim: The study examines Continuous Testing (CT) in a DevOps environment for cloud migration within the Property & Casualty (P&C) insurance industry and InsurTech companies. The study evaluates the impact of AI/ML-driven test automation, security testing, and performance validation using tools like Selenium, JUnit, and TestNG; CI/CD pipelines such as Jenkins, GitHub Actions, and Azure DevOps.

Methodology: This study takes a mixed methods approach that incorporates case studies, industry surveys, and experimental testing to assess the efficiency of Continuous Testing in cloud migration strategies. Through experimentation with automated testing tools such as Selenium, JUnit, and Jenkins, the improvements in efficiency were measured. A comparative analysis was employed to measure the performance indicators prior to and after the CT implementation.

Findings: Continuous testing (CT) substantially enhances cloud-migration efficiency for P&C insurance. Companies that have had CT in their version of DevOps have executed a 40-60% increase in software release cycles, leading to faster deployments. Automated testing dragged post-deployment issues down by 35%, thereby increasing the reliability of the software. Compliance with industry requirements was much better because continuous security checks lessen risks. Another benefit included a reduction of about 20-30% in testing costs due to automation that replaced human testing. On top of this, the way for more applications to be resilient to system failures was opened; applications were supported and maintained. The post-migration data should always specify that applications have 99.9% uptime. In the heavily regulated insurance sector, continuous testing thus becomes a much faster, more secure, and cost-effective measure for moving to the cloud.

Conclusion: The adoption of continuous testing into DevOps for migration to the cloud disrupted the status quo in many sectors, especially in property & casualty insurance, banking, entertainment, and aviation.

 

Author (s) Details

Pavan Kumar Gollapudi
Accenture, Aubrey, TX, USA.

 

Rajkumar Govindaswamy Subbian
Golden Bear Insurance Company, Prosper, TX, USA.

Please see the book here:- https://doi.org/10.9734/bpi/stda/v7/4704