ABSTRACT
Nigeria’s textile industry is the second largest textile industry in Africa employing thousand of workforce and millions of indirect workers. It has been identified as the dependable employer of labour and source of financial security for most Nigeria youths the sector employed 25% workers in the nation’s manufacturing sector. The textile industry has one of the most complicated industrial chain in the manufacturing industry. This study however, is aimed at known the impact of economical managerial factors affecting the performance of textile industries in Kaduna state Nigeria. Descriptive and explanatory survey method was adopted for the study and using yamane’s sample selections formula 340 copies of questionnaire were distributed to the five selected textile industries staff for analysis. Following the findings of the study using various method including multiple regression model, it shows statistical level of impact those economical and managerial factors namely (electricity, water, petroleum, qualification of employees and managerial style) have on performance of textile industries in Kaduna state Nigeria. Finally the study recommended the provision of adequate and stable power supply to textile industries by providing an independent power source and availability of petroleum product and water at low cost to the industries. Consequently qualified staff should be employed in all the available positions in the industry and the managerial style of leader should be favourably accepted by the workers.
TABLE OF CONTENTS
Page
Title page………………………………………………………………………..
Dedication……………………………………………………………………… Declaration……………………………………………………………………. Certification…………………………………………………………………… Acknowledgement……………………………………………………………. Table of Contents……………………………………………………………..
List of Tables.…………………………………………………………………
List of Figures………………………………………………………………… Abstract………………………………………………………………………..
CHAPTER ONE
INTRODUCTION
1.1 Background of the study………………………………………………….
1.2 Statement of the problem…………………………………………………
1.3 Research objectives……………………………………………………….
1.4 Research hypothesis………………………………………………………
1.5 Significance of the study………………………………………………….
1.6 Scope and Limitation of the Study………………………………………
1.7 Abbreviations and definitions of terms used…………………………...
1.8 Organization of the study………………………………………………..
CHAPTER TWO
LITERATURE REVIEW
2.1 Energy
2.2 Electricity
2.3 Water
2.4 Petroleum
2.5 Qualification of employees
2.6 Managerial style
2.7 Some waste in textile
2.8 Waste reduction and control
2.9 Performance
CHAPTER THREE
AN OVERVIEW OF THE PERFORMANCE OF TEXTILE INDUSTRY
3.1 Background
3.2 Meaning and set up of textile industry
3.3 Rise and fall of the industry
3.4 Brief history of Nigeria
3.5 Brief history of Kaduna State
3.6.1 United Nigerian textiles plc and its operations
3.6.2 Chellco industries limited and its operation
3.6.3 Botheven industries and its operations
3.6.4 Vitafoam (jafco) industries limited and its operations
3.6.5 Zaria industries limited and its operations
CHAPTER FOUR
METHODOLOGY AND THEORETICAL FRAME WORK
4.1 Research methodology
4.1.1 Research design
4.1.2 population of the study
4.1.3 Sample size and sampling technique
4.1.4 Instrumentation and operationalization
4.1.5 Validity and reliability of instrument
4.1.6 Controls for measurement errors
4.1.7 Technique of data analysis
4.1.8 Ethical consideration
4.1.9 Pilot/preliminary test
4.2 Theoretical frame work of the research
CHAPTER FIVE
RESULT AND DISCUSSION
5.1 Introduction
5.2 Respondent characteristic
5.3 Data screening
5.3.1 Missing Data
5.3.2 Outlier
5.3.3 Normality test
5.4 Measurement module
5.5 Testing of hypothesis
5.5.1 Hypothesis 1
5.5.2 Hypothesis 2
5.5.3 Hypothesis 3
5.5.4 Hypothesis 4
5.5.5 Hypothesis 5
5.6 Discussion of findings
CHAPTER SIX
SUMMARY, CONCLUSION AND RECOMMENDATION
6.0 Introduction
6.1 Summary
6.2 Conclusion
6.3 Recommendation
6.4 Suggestion for further studies
6.5 Contribution to knowledge
Bibliography
LIST OF TABLES
Table 2.1: Table showing typical specific energy consumption (kw/h/kg) for yarn, with different yarn count and final use (wearing Vs knitting)
Table 2.2: Table showing share of manufacturing cost factor for 20 tex combed cotton yarn in several countries in 2003
Table 2.3 Electricity Consumption per 1000 Spindle for Each Plant/Process
Table 2.4: Relationship between Production Rationalization Technique and Energy Saving
Table 2.5: Table shows various textile process, waste & emission
Table 2.6: Table showing wet, intermediate & dry textile process
Table 2.7: Shows Advantages and Disadvantages of Petroleum
Table 3.1: Growth and decline of the Nigerian textile industry
Table 3.2: Table showing top period of history of textile industry in Nigeria
Table 3.3: Table showing list of some textile industries in Nigeria and their addresses
Table 3.4: Table showing list of top 10 currently operating textile companies in Nigeria that are engaged in producing clothing and textile items
Table 3.5: Shows share holding structure of ZIL
Table 4.1: The summary of the instrumentation and operationalisation of construct
Table 4.2: Summation of reliability study using spss version 20
Table 5.1: Reliability Test
Table 5.2: Distribution of Respondents Socio-Demographic Characteristic
Table 5.2.1: Distribution of Respondents Socio-Demographic Characteristics
Table 5.3: Function of Electricity to power manufacturing process
Table 5.4: Water is an essential raw material in dyeing and steam generation
Table 5.5: Petroleum provide lighting and lubricants for machinery and raw materials
Table 5.6: Qualification of employees for particular position
Table 5.7: Managerial style: process used to motivate and influence others to work
Table 5.8: Performance: accomplishment of certain defined task or objective
Table 5.9: Model Summary (electricity)
Table 5.9.1: ANOVAa (electricity)
Table 5.9.2: Coefficientsa (electricity)
Table 5.10: Model Summary (Water)
Table 5.10.1: ANOVAa (Water)
Table 5.10.2 Coefficientsa (water)
Table 5.11 Model Summary (Petroleum)
Table 5.11.1: ANOVAa (Petroleum)
Table 5.11.2: Coefficient (Petroleum)
Table 5.12: Model Summary (qualification of employees)
Table 5.12.1 ANOVAa (Qualification of employees)
Table 5.12.2: Coefficienta (Qualification of employees)
Table 5.13: Model Summary (Managerial Style)
Table 5.13.1: ANOVAa (managerial style)
Table 5.13.2: Coefficienta (Managerial style)
Table 5.14: Model Summary (Performance)
Table 5.14.1: ANOVAa (Performance)
Table 5.14.2: Coefficienta (Performance)
LIST OF FIGURES
Figure 2.1: Polyester outline showing electricity and steam usage
Figure 2.2: Acetate outline showing electricity and steam usage
Figure 2.3: Machine Drive Electricity Used as a Percentage of Delivered Energy
Figure 2.4: The Example of Typical Spinning Process and Energy Use
Figure 2.5: The Example of Weaving Process and Energy Used
Figure 2.6: Diagram of a Power Plant
Figure 2.7: A pie chart showing breakdown of final energy use in spinning plant Chart A and B
Figure 2.8: Diagram showing the breakdown of the typical electricity used in a composite textile plant.
Figure 2.9: Schematic arrangement of an air conditioning plant
Figure 2.10: Basic air conditioning without underfloor return air system
Figure 2.11: Air flow pattern created by underfloor return air system
Figure 2.12: Cotton textile finishing process flowsheet
Figure 2.13: Effluent Path
Figure 2.14: A sequence of production process in a typical textile industry
Figure 2.15: Diagram of waste heat recovery from the hot effluent of dyeing machine
Figure 2.16 Shows World Distribution of Petroleum Resources
Figure 2.17: Shows Pathway of Petroleum Utilization
Figure 2.18: Shows Need for Leadership Quality of a Manger
Figure 2.19: Shows Success Pyramid
Figure 2.20: Shows Common Leadership Qualities
Figure 3.1: The textile chain
Figure 3.2: Shows Cotton Manufacturing Process
Figure 3.3: Three dimensional view of a loom
Figure 3.4: Diagram showing spun yarn spinning (A cotton spinning system) and weaving/knitting processes
Figure 3.5: Warp and weft knitted structure
Figure 3.6: Spinning process flow diagram
Figure 3.7: Weaving process flow diagram
Figure 3.8: Diagram of a Cone
Figure 3.9: Below is an organizational chat showing hierarchy in positions of staff.
Figure 3.10: A computerised modern weaving loom
Figure 3.11: A coloured (dyed) cone
Figure 3.12: Below is the company’s staff organogram
Figure 3.13: Modern cardroom
Figure 3.14: Card enclosure
Figure 3.15: Botheven Industry Company’s chart
Figure 3.16: The organisational structure
Figure 3.17: Shows a typical baling unit
Figure 5.1: Distribution of Respondents Age
Figure 5.2: Distribution of Respondents Department of Textile Industry
Figure 5.3: Distribution of Textile Industry
Abdullahi, I. & (2009), O (2018). IMPACT OF ECONOMICAL AND MANAGERIAL FACTORS INFLUENCING THE PERFORMANCE OF TEXTILE INDUSTRY IN KADUNA STATE-NIGERIA-converted. Afribary. Retrieved from https://track.afribary.com/works/impact-of-economical-and-managerial-factors-influencing-the-performance-of-textile-industry-in-kaduna-state-nigeria-converted
Abdullahi, Ibrahim, and Olarewaju (2009) "IMPACT OF ECONOMICAL AND MANAGERIAL FACTORS INFLUENCING THE PERFORMANCE OF TEXTILE INDUSTRY IN KADUNA STATE-NIGERIA-converted" Afribary. Afribary, 19 Dec. 2018, https://track.afribary.com/works/impact-of-economical-and-managerial-factors-influencing-the-performance-of-textile-industry-in-kaduna-state-nigeria-converted. Accessed 24 Nov. 2024.
Abdullahi, Ibrahim, and Olarewaju (2009) . "IMPACT OF ECONOMICAL AND MANAGERIAL FACTORS INFLUENCING THE PERFORMANCE OF TEXTILE INDUSTRY IN KADUNA STATE-NIGERIA-converted". Afribary, Afribary, 19 Dec. 2018. Web. 24 Nov. 2024. < https://track.afribary.com/works/impact-of-economical-and-managerial-factors-influencing-the-performance-of-textile-industry-in-kaduna-state-nigeria-converted >.
Abdullahi, Ibrahim and (2009), Olarewaju . "IMPACT OF ECONOMICAL AND MANAGERIAL FACTORS INFLUENCING THE PERFORMANCE OF TEXTILE INDUSTRY IN KADUNA STATE-NIGERIA-converted" Afribary (2018). Accessed November 24, 2024. https://track.afribary.com/works/impact-of-economical-and-managerial-factors-influencing-the-performance-of-textile-industry-in-kaduna-state-nigeria-converted