Since the discovery of oil in Nigeria in 1956, reports of plunder, corruption and primitive accumulation of capital have dominated the management of oil resources by the Nigerian state in alliance with oil corporations, excluding the people from benefit of oil wealth. This study, therefore, is an examination of how centralised management of oil resources which concentrated the benefits of oil wealth in the hands of a very few privileged persons, led to chronic opportunism and criminality in the form of illegal oil bunkering in Nigeriaβs Niger Delta region between 1999 and 2011. It set as its objectives the task of interrogating the nexus between allocation of oil blocks to members of the ruling class and oil banditry in the Niger Delta; the connections between protests over oil exploitation and environmental degradation and the proliferation of illegal refineries and oil transactions in the region; and the relationship between security leakages in the control of illegal oil bunkering in the Niger Delta and sustenance of an international market for illegal oil trade in Nigerian coastal waters. The study adopted the political economy theoretical framework. Data were generated through the qualitative descriptive methodology and applied the ex-post-facto research design. The study found that patronage allocation of oil blocks in ways that enriched the ruling class and provided oil corporations with hefty profits led oil host communities in the Niger Delta to engage in oil banditry. Protests over oil exploitation and environmental degradation gave rise to the proliferation of artisanal refining of stolen crude oil and illicit oil transactions in the region. Leakages in the security control of illegal oil bunkering in the Niger Delta sustained an international market for stolen crude oil and petroleum products in Nigerian coastal waters. The study recommended, among others, government increase of the percentage allocation of oil revenues to the Niger Delta states from the current 13% to 25% derivation and the development of a comprehensive database of oil blocks awarded since the discovery of oil in Nigeria.
π Over 50,000 Project Materials
π± 100% Offline: No internet needed
π Over 98 Departments
π Software coding and Machine construction
π Postgraduate/Undergraduate Research works
π₯ Instant Whatsapp/Email Delivery
The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...
The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...
The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...
The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...
The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...
The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...
Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...
Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...
Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...