A comparative analysis of the impact of fluctuating oil prices on nigeria’s agricultural and industrial sectors
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Oil Prices
- 2.2Historical Trends in Oil Prices
- 2.3Impact of Oil Prices on Agricultural Sector
- 2.4Impact of Oil Prices on Industrial Sector
- 2.5Government Policies and Oil Price Fluctuations
- 2.6International Trade Effects of Oil Price Changes
- 2.7Economic Theories Related to Oil Prices
- 2.8Case Studies on Oil Price Impact
- 2.9Research Gaps in Literature
- 2.10Summary of Literature Review
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design
- 3.2Data Collection Methods
- 3.3Sampling Techniques
- 3.4Data Analysis Procedures
- 3.5Research Variables
- 3.6Ethical Considerations
- 3.7Reliability and Validity
- 3.8Limitations of Methodology
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Overview of Data Analysis
- 4.2Descriptive Statistics
- 4.3Regression Analysis Results
- 4.4Hypothesis Testing
- 4.5Discussion on Findings
- 4.6Comparative Analysis
- 4.7Implications for Agricultural Sector
- 4.8Implications for Industrial Sector
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Recommendations for Policy Makers
- 5.4Future Research Directions
- 5.5Reflection on Research Process
Project Abstract
<p> </p><div><p>This study was the brain child of the earnest desire to unravel the impact of the incessant fluctuating oil prices on two crucial sectors of the Nigerian economy; the agricultural sector and the industrial sector which used manufacturing sector as proxy. The analysis employed the unrestricted Vector Autoregressive methodology as its empirical technique, with a quarterly time series data spanning from 1987 quarter one through 2014 quarter four which covered 112 observations. The result of the impulse response function showed that a one standard deviation shock gin oil price volatility had no significant impact on agricultural and manufacturing sectors. These results were further validated by the variance decomposition analysis which further established that amidst the oil price volatility; there exist a complementary role between the sectors. These findings therefore, necessitated the study’s conclusions. Thus it is supposed that if the country’s excessive dependence on crude oil price benchmarks for fiscal policy strategies is not mitigated, the economy may be headed for a deeper crises and instability orchestrated by the utterly negligence of other crucial sectors of the economy.</p><p></p></div><br> <br><p></p>
Project Overview
<p>
</p><div><p>This study was the brain child of the earnest desire to unravel the impact of the incessant fluctuating oil prices on two crucial sectors of the Nigerian economy; the agricultural sector and the industrial sector which used manufacturing sector as proxy. The analysis employed the unrestricted Vector Autoregressive methodology as its empirical technique, with a quarterly time series data spanning from 1987 quarter one through 2014 quarter four which covered 112 observations. The result of the impulse response function showed that a one standard deviation shock gin oil price volatility had no significant impact on agricultural and manufacturing sectors. These results were further validated by the variance decomposition analysis which further established that amidst the oil price volatility; there exist a complementary role between the sectors. These findings therefore, necessitated the study’s conclusions. Thus it is supposed that if the country’s excessive dependence on crude oil price benchmarks for fiscal policy strategies is not mitigated, the economy may be headed for a deeper crises and instability orchestrated by the utterly negligence of other crucial sectors of the economy.</p><p></p></div><br>
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