Technology transfer and international politics: a case study of ajaokuta steel project (2000-2008)
Table Of Contents
<p> </p><p>Title Page – – – – – – – – – i Certification – – – – – – – ii Approval Page – – – – – – – – iii Dedication- – – – – – – – – iv Acknowledgement – – – – – – – v Abstract – – – – – – – – vi Table of Contents – – – – – – – vii
Chapter ONE
: INTRODUCTION</p><p>1.1<br>Statement of Problem<br>–<br>–<br>–<br>–</p><p>1.2<br>Objective of Study –<br>–<br>–<br>–<br>–</p><p>1.3<br>Significance of Study<br>–<br>–<br>–<br>–</p><p>1.4<br>Literature Review<br>–<br>–<br>–<br>–</p><p>1.5<br>Theoretical Framework –<br>–<br>–<br>–</p><p>1.6<br>Hypotheses –<br>–<br>–<br>–<br>–<br>–</p><p>1.7<br>Research Design –<br>–<br>–<br>–<br>–</p><p>1.8<br>Population and Sample of Study<br>–<br>–</p><p>1.9<br>Method of Data Collection<br>–<br>–<br>–</p><p>1.10 Operational Logic of Empirical Research<br>–</p><p>1.11 Definition and Clarification of Terms –<br>–</p><p>Chapter TWO
: BACKGROUND OF THE AJAOKUTA STEEL PROJECT 2.1 Introduction – – – – – – – 41 2.2 Conception – – – – – – – 43 2.3 Nigerian Steel Development Authority (NSDA) – 46 2.4 Location of the Ajaokuta Steel Project – – – 47Chapter THREE
: ACQUISITION OF STEEL TECHNOLOGY AND THE NIGERIAN STATE 3.1 Introduction – – – – – – 50 3.2 Class Character and State of the Projects- – – 57 3.3 Nature and Characteristics of International Steel Sector – – – – 62Chapter FOUR
: INTERNATIONAL STEEL COMPANIES AND STATE OF AJAOKUTA STEEL PROJECT 4.1 Introduction – – – – – – 73 4.2 Dumping and the State of Ajaokuta Steel Project – 79 4.3 The Role of International Politics and Capital – 84 4.4 The Effect of Alliances and Cartels – – – – 93 4.5 Propaganda and Criticism – – – – 96 4.6 Delay and Cost Escalation – – – – – 101Chapter FIVE
: SUMMARY AND RECOMMENDATIONS 5.1 Summary of the Study – – – – – – 109 5.2 Recommendations – – – – – – 114 Bibliography</p> <br><p></p>Project Abstract
The study is using Ajaokuta steel project as a case study to focus on the following question as a guide towards the concrete examination of the influence of international politics in technology transfer and acquisition to the developing world like Nigeria Has the domination of the international steel sector by major steel companies (Nippon, Arcelormittal, US steel, Thyssenkrupp and Baosteel) negatively affected the execution of Ajaokuta steel project? The general objective of this study is to examine the Impact and implication of domination of the major international steel sector on the execution of Nigeria’s Ajaokuta steel project. We adopt the Marxist political economy approach through Marxist production analysis as a most suitable framework for the purpose of analyzing the politics of technology acquisition and the state of Nigeria’s Ajaokuta steel project. Information for the analysis was gathered mainly through the documentary method of data collection while analysis was done using the content analysis aided by tables. Our findings are as follows Domination of international steel sector by the major steel companies, (Nippon, Arcelormittal, US steel, Thyssenkrupp and Baosteel) has negatively affected the execution of Ajaokuta steel project. Also, Nigerian government should learn from the Asian escape by internally developing the necessary technological and organizational capabilities.
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 ...
