Home / Computer Science / Political economy of crude oil production and nigeria’s downstream sector

Political economy of crude oil production and nigeria’s downstream sector

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the research
1.9 Definition of terms

Chapter TWO

2.1 Overview of Crude Oil Production
2.2 History of Nigeria's Downstream Sector
2.3 Economic Impact of Crude Oil Production
2.4 Political Factors in Crude Oil Production
2.5 Environmental Concerns in the Downstream Sector
2.6 Technological Advancements in the Industry
2.7 Global Market Trends in Crude Oil
2.8 Regulations and Policies in the Downstream Sector
2.9 Challenges Faced by the Industry
2.10 Future Prospects of Crude Oil Production

Chapter THREE

3.1 Research Design and Methodology
3.2 Data Collection Techniques
3.3 Sampling Methods
3.4 Data Analysis Procedures
3.5 Research Ethics and Integrity
3.6 Case Study Approach
3.7 Comparative Analysis
3.8 Statistical Tools Utilized

Chapter FOUR

4.1 Production Trends in Nigeria
4.2 Demand and Supply Dynamics
4.3 Market Behavior and Price Fluctuations
4.4 Government Interventions and Policies
4.5 Impact on Economic Development
4.6 Environmental Sustainability Practices
4.7 Stakeholder Engagement and Partnerships
4.8 Technological Innovations in the Downstream Sector

Chapter FIVE

5.1 Summary of Findings
5.2 Conclusions Drawn from the Study
5.3 Implications for Policy and Practice
5.4 Recommendations for Future Research
5.5 Reflections on the Research Process

Thesis Abstract

At inception, oil industry operations in Nigeria were limited to upstream and midstream activities comprising exploration, production, marketing and transportation of crude oil. Downstream refining activity commenced in 1965 as a joint venture between British Petroleum and Shell but with 50 percent equity participation by the Nigerian government. The technology of oil exploration and production, the transport and marketing infrastructure of Nigeria’s crude oil, as well as the construction and operation of the refinery, were all the exclusive preserve of the International Oil Companies (IOCs). Consequently, Nigeria’s crude was exported on Freight on Board (FOB) basis as against the more self-reliant Cost, Freight and Insurance (CFI) mode. Extant analyses of Nigeria’s downstream sector have attributed its underdevelopment to such factors as inefficiency, corruption, mismanagement, bureaucratic bottlenecks and excessive subsidizing. Such analyses failed to explore the implication of the production relations in the upstream for the development of the downstream sector. This study was therefore aimed at explaining (i) the influence of IOCs’ dominance in crude oil production technology on the utilization and maintenance of oil refineries in Nigeria, (ii) the role of marketing of Nigeria’s crude oil on FOB basis in the relegation of CFI mode of crude oil marketing and transportation and (iii) the implication of lack of autonomy of oil industry regulatory institutions for effective regulation of Nigeria’s oil industry operations. The study was based on the ex-post-facto research design, secondary data sources, and the theory of regulatory capture. Content analysis was used to analyze the data. It found that IOCs’ dominance in crude oil production technology undermined the utilization and maintenance of oil refineries in Nigeria; the marketing and transportation of Nigeria’s crude on FOB basis resulted in Nigeria’s low participation in global domestic crude oil transportation; and that lack of autonomy of oil industry institutions arising from excessive dependence on oil rents accounted for ineffective regulation of Nigeria’s oil industry. It then recommended the adoption of benign resource nationalism to holistically tackle the low indigenous capacity in Nigeria’s oil industry.



Thesis Overview

Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Computer Science. 4 min read

Applying Machine Learning Techniques to Detect Financial Fraud in Online Transaction...

The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Anomaly Detection in IoT Networks Using Machine Learning Algorithms...

The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...

BP
Blazingprojects
Read more →
Computer Science. 3 min read

Applying Machine Learning Algorithms for Predicting Stock Market Trends...

The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...

BP
Blazingprojects
Read more →
Computer Science. 3 min read

Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data...

The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems...

The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...

BP
Blazingprojects
Read more →
Computer Science. 3 min read

Implementation of a Machine Learning Algorithm for Predicting Stock Prices...

The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Development of an Intelligent Traffic Management System using Machine Learning Algor...

The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Anomaly Detection in Network Traffic Using Machine Learning Algorithms...

No response received....

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Applying Machine Learning for Intrusion Detection in IoT Networks...

The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us