ABSTRACT
This study was
centered on the impact of electricity on the performance of SMEs in Nigeria. The
main objective of this study is to examine the impact of
electricity on the performance of SMEs in Nigeria. The study employed the descriptive and explanatory design;
questionnaires in addition to library research were applied in order to collect
data. Primary and secondary data sources were used and data was analyzed using
the chi-square statistical tool at 5% level of significance which was presented
in frequency tables and percentage. The respondents under the study were 150 SME
owners.
The study findings
revealed that there is a significant relationship between electricity and the
performance of SMEs in Nigeria. Based on the findings from the study,
government should do more in the provision of constant power in other to
enhance the performance of SMEs.
TABLE OF
CONTENTS
Title Page - - - - - - - - - i
Approval Page - - - - - - - - ii
Declaration - - - - - - - - iii
Dedication - - - - - - - - - iv
Acknowledgement - - - - - - - v
Abstract - - - - - - - - - vi
Table of Contents - - - - - - - vii
CHAPTER
ONE – INTRODUCTION
1.1 Background of the Study - - - - -
1.2 Statement of General Problem - - - -
1.3 Objective of the Study - - - - - -
1.4 Research Questions - - - - - -
1.5 Hypothesis
- - -
- - -
- - -
1.6 Significance of the Study - - - - -
1.7 Scope of the Study - - - - - -
1.8 Definition of Terms - - - - - -
CHAPTER
TWO – REVIEW OF RELATED LITERATURE
2.0 Introduction - - - - - - -
2.1 Overview
of SMEs - - - -
2.3 Empirical
studies - - - - -
- - -
2.4 Theoretical
framework - -
- - -
- -
CHAPTER
THREE – RESEARCH METHODOLOGY
3.1 Introduction - - - - - - - - -
3.2 Research Design - - - - - - - -
3.3 Area of the Study - - - - - - - -
3.4 Population of Study - - - - - - - -
3.5 Sample size and Sampling Techniques - - - - -
3.6 Instrument for Data Collection - - - - - -
3.7 Validity of the Instrument - - - - - - -
3.8 Reliability of the Instrument - - - - - -
3.9 Method of Data Collection - - - - - - -
3.10 Method of Data Analysis - - - - - - -
CHAPTER
FOUR – DATA PRESENTATION AND ANALYSIS
4.0 Introduction - - - - - - - - -
4.1 Data Presentation and Analysis - - - - - -
4.2 Characteristics of the Respondents - - - - -
4.3 Data
Analysis - - - - - - - - -
4.4 Testing Hypothesis - - - - - - - -
4.5 Summary
of Findings - - - - - - - -
4.6 Discussion of Findings - - - - - - -
CHAPTER
FIVE – SUMMARY, CONCLUSION AND RECOMMENDATION
5.0 Introduction - - - - - - - - -
5.1 Summary - - - - - - - - - -
5.2 Conclusion - - - - - - - - - -
5.3 Recommendations - - - - - - - -
References
- - - - - - - - - -
Appendix - - - - - - - - - -
CHAPTER ONE
INTRODUCTION
1.1 BACKGROUND TO THE STUDY
Access to electricity and its accompanied high tariffs poses a
greater challenge to SMEs growth and performance in lower income countries like
Nigeria, as compared with those in higher income countries. This assertion is
confirmed in a research by Scott et al (2014) which reveals that, the
proportion of SMEs in high-income countries citing electricity as a major
constraint is half of their counterparts in the Sub-Saharan African and Asia
countries. Cost and time spent on acquiring electricity were also higher in the
Less Developed Countries compared with that of High-Income Countries. However,
this study is examining the effect of electricity on the performance of SMEs in
Nigeria.
The effect of electricity power outage on SMEs in Nigeria posited
that, the current electricity crises in the country were costing the SMEs over
US $686.4 million of annual sales. The SMEs continued to record a huge loss day
by day as a result of poor electricity supply.
These have been partly blamed on market and state failures, which have
led to the poor electricity supply.
In
the interim, a lot has equally been said with regards to the appalling state of
Nigeria's epileptic power sector according to Akuru and Okoro (2009). Energy
consumers do not get electricity supplied to them because the local utility
companies do not get power transmitted to them from the electric grid. The
managers of electric transmesion are quick to accuse the generating stations of
insufficient generating MW capacity. And as if trading of blame has become
routine with each of these sectors, the generating stations either claim they
do not get enough gas to power their plants or they turn around and claim that
the transmesion companies themselves cannot boast of a strong transmesion backbone
to transmit what is being generated.