World bank and crises of development in nigeria (1999 to 2008)
Table Of Contents
<p> Title Page ——————————————————————————– i Approval Page ————————————————————————– ii Dedication ——————————————————————————- iii Acknowledgement ——————————————————————— iv Table of Content ———————————————————————– v List of Tables ————————————————————————— vii List Figures —————————————————————————— viii List of Abbreviation ——————————————————————– ix Abstract ———————————————————————————- xi
Chapter ONE
: INTRODUCTION 1.1 Introduction ——————————————————————— 1 1.2 Statement of Problem ——————————————————— 3 1.3 Objectives of Study ———————————————————— 6 1.4 Significant of Study ———————————————————– 7 1.5 Literature Review ————————————————————— 9 1.6 Theoretical Framework ——————————————————- 23 1.7 Hypotheses ———————————————————————- 30 1.8 Method of Data Collection/Analysis —————————————- 30Chapter TWO
: LOAN CONDITIONALITIES AND DEVELOPMENT ASSISTANCE TO NIGERIA 2.1 World Bank/IMF Loan Conditionalities and the Obligations of Recipient States —————————————————————- 32 2.2 Nigeria’s Commitment in Implementing these Loan Conditionalities —————————————————————- 36 2.3 World Bank/IMF Increased Development Loan Assistance to Nigeria ————————————————————————– 42Chapter THREE
: DEVELOPMENT LOAN ASSISTANCE AND ECONOMIC GROWTH 3.1 Overview of Nigeria’s Economic Growth between 1999 – 2008 ——— 51 3.2 World Bank/IMF Development Loan Packages between 1999 – 2008 — 53 3.3 Effects of World Bank/IMF Development Loans on Nigeria’s Economic Growth ————————————————————– 60 3.3.1 The Millennium Development Goals and Nigeria’s Economic Growth ————————————————————————— 63 3.3.2 The Vision 2020: Nigeria’s Drive to Economic Development and Maturity ——————————————————————— 65Chapter FOUR
: NIGERIA’S LOAN SERVICING ABILITY AND WORLD BANK’S CREDIT PORTFOLIO 4.1 Nigeria’s Ability and Commitment to Debt Servicing ——————– 68 4.2 World Bank’s Increment of Credit Portfolio to Nigeria ——————- 77 4.3 Nigeria’s Debt Servicing Policy Vis-à-vis World Bank’s Credit Policy: An Interface Analysis ———————————————— 87Chapter FIVE
: SUMMARY AND CONCLUSION 5.1 Discussion of the Findings —————————————————— 102 5.2 Conclusions ———————————————————————– 103 5.3 Recommendations —————————————————————- 105 Bibliography —————————————————————————– 106 <br></p>Project Abstract
The study investigated World Bank and crises of development in Nigeria (1999 to 2008). The criteria for determining the magnitude of development loan assistance from the World Bank approximates with the level of the developmental needs of Nigeria and by extension, other African States. It therefore, contribute to the crisis of development in Nigeria and other African States? Utilizing the theoretical framework of functionalism which is based on the hope that more and more common task will be delegated to such specific functional organizations or agencies of the United Nations like the Bank/IMF; and each of these organizations will become supranational. Relying on secondary source of data, relevant qualitative data were generated for the study. These were analysed using qualitative descriptive analysis. On the basis of this, the study unravelled that there is a positive relationship between the level of loan conditionalities and increase in development loan assistance to Nigeria. Also we noted that there is positive relationship between economic growth and development loan assistance to Nigeria by World Bank. Finally we remarked that there is no significant relationship between Nigeria’s higher ability to service loans and increase in World Bank credit portfolio to Nigeria.
Project Overview
Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
Related Research
Predicting Disease Outbreaks Using Machine Learning and Data Analysis...
The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...
Implementation of a Real-Time Facial Recognition System using Deep Learning Techniqu...
The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...
Applying Machine Learning for Network Intrusion Detection...
The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...
Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...
The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...
Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...
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 Algori...
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...
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 using machine learning algorithms...
Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...
