<p> </p><p>Title page — – – – – – – – – – – i </p><p>Declaration — – – – – – – – – – -ii</p><p>Approval page — – – – – – – – – – -iii</p><p>Dedication — – – – – – – – – – -iv</p><p>Acknowledgement — – – – – – – – – -v </p><p>Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -vii</p> <br><p></p>
This study investigated the impact of external debt on economic growth in Nigeria for the period 1980-2015. Time series data on external debt stock and external debt service payment was used to capture external debt burden. Other variables such as exchange rate and Foreign Direct Investment where employed. The study set out to test for both long-run and causal relationship between eternal debt and economic growth in Nigeria. The Multi Linear Regression Method was used, and the technique employed is the Ordinary Least Square (OLS) with the following tests, Augmented Dickey Fuller (ADF) test, Johansen Cointegration test, and Vector Error Correction Model and Granger Causality test. The regression result showed a negative relationship between external debt and economic growth. While the long-run test revealed that the independent variables have long-run relationship with economic growth and no causality exists between external debt and economic growth. The study recommends that external debts should be contracted solely for economic reasons and should be engaged more into capital expenditure than recurrent expenditure, the debt management authority should adequately keep track of the debt payment obligations and the debt should not be allowed to pass a maximum limit so as to avoid debt overhang, the government should promote the export capacity of the economy and curtail excessive importation of consumable goods in order to generate large foreign exchange for the amortization of its impending debts. And finally that the government should influence the channeling of FDI into establishment of new operations and investment into real asset in order to promote the production capacity of the economy.
📚 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
The project titled "Analyzing the Impact of Music Therapy on Mental Health" aims to investigate the effects of music therapy on mental health outcomes...
The project "Development of a Music Recommendation System using Machine Learning Techniques" aims to explore and implement advanced machine learning a...
The project topic "Analysis and Visualization of Music Emotion using Machine Learning Techniques" focuses on the intersection of music and technology,...
The project "Development of a Music Recommendation System using Machine Learning Algorithms" aims to explore and implement the use of machine learning...
Introduction: Automatic music genre classification is a challenging task that has gained significant attention in the field of music information retrieval. With...
The project on "Analysis and Prediction of Music Trends Using Machine Learning Algorithms" aims to explore the application of machine learning algorit...
The project topic "Analyzing the Impact of Music Streaming Services on the Music Industry" delves into the profound influence that music streaming ser...
The project "Analysis and Comparison of Music Recommendation Algorithms for Personalized Music Streaming Services" aims to investigate and evaluate va...
The project on "Application of Machine Learning Algorithms for Music Genre Classification" aims to explore the effectiveness of machine learning algor...