Effect Of Food Supply On The Households Income In Moroto District Karamoja Sub~region A Case Study Of Katikekile Sub~county

ABSTRACT

This study investigated the effect of food supply on household incomes. A discipline correlation design was applied in examining the effect of food supply and household income. A sample of 250 respondents selected, however, one of the limitations of alteration beyond the researcher’s control, only 70 questionnaires are retrieved. The findings indicated that the effect of food expenses on household incomes was so high due to the fact that people totally do not have food at all, so they spend a big proportion of their incomes on food. Okumu (2007) also agrees that there is significant positive effect of food expenditure on Household incomes. Hones Harska and Nadolynic (2007) also show that there is no direct effect of food expenditure on house hold incomes. Furthermore, the finding indicated that food supply significantly correlated with the population. Okumu (2007) argues that food supply negatively influence the population. The researcher suggested that, further research may be conducted on the same topic in different geographical areas to see if the findings are different from those of the current study.

TABLE OF CONTENTS

DEDICATION

APPROVAL

DEDICATION iii

ACKNOWLEDGEMENT iv

ABSTRACT

CHAPTER ONE 1

INTRODUCTION 1

1.0 Introduction 1

1.1 Background of the study 1

1.1.1 Historical background 1

1.1.2 Theoretical background 6

1.1.3 conceptual frame works 8

1. 1.4 Contextual background 10

1.2 Problem statement 22

1.3 purpose of the study 23

1.4 Specific objectives of the study 23

1.5 Research questions 23

1.6 Research Hypothesis 24

1.6.1 Null hypothesis states that there is significant effect between Food Supply and

Household incomes 24

1.6.2 Alternative hypothesis states that there is no significant effect between Food

Supply and Household incomes 24

1.7 scope of the study .24

1.7.1 Content scope 24

1.7.2 Theoretical scope 24

1.7.3 Geographical scope 24

1. 7. 4TimeScope 25

1.8 Significance of the study 25

1.9 Operational definitions of key terms 25

CHAPTER TWO 27

LITERATURE REVIEW 27

2.0 Introduction 27

2.1 Concepts, ideas and opinions 27

2.2 Theoretical framework 38

2.3 Review of the related literature 51

CHAPTER THREE 1

METHODOLOGY 67

3.0 Introduction 67

3.1 Research design 67

3.2 Research population 68

3.4 Sample Technique 69

3.5 Data sources 69

3.5.1 Primary source 69

3.5.2 Secondary Source 69

3.6 Data collection instruments 70

3.6.1 Questionnaire 70

3.6.2 Interview guide .70

3.7 Validity and Reliability of the Instruments 70

3.8 Ethical procedure 71

3.9 Data analysis 72

3.10 Limitations of the study 73

CHAPTER FOUR 75

DATA PRESENTATION, INTERPRETATION AND ANALYSIS OF FINDINGS 75

4.1.0 Introduction 75

4.2.0 Respondents information 75

4.2.1 Age distribution of respondents 75

4.2.2 Gender of respondents 76

4.2.3 Marital status of respondents 77

4.2.4 Academic Qualifications of respondents 77

4.3.0 The level of how much money households spend on food 78

4.3.1 Level Of trend for which food supply situation prevailed in Katikekile Sub County. 79

4.3.2 Level of affection of food expenses on household income in Katikekile Sub County

81

4.3.3 Level of whether food expenses affect household incurs in Katikekile Sub County.

82

4.3.4 Level of how food expense affects Household incomes in Katikekile sub-county... 84

4.3.5 Level of whether there are strategies employed to increase food supply for

household income of Katikekile peaple 85

4.3.6 Level of strategies employed to increase food supply for household incomes 87

4.3.7 Relationship between food supply and household income 88

CHAPTER FIVE 91

FINDINGS, CONCLUSION AND RECOMMENDATION 91

5.0 Introduction 91

5.1 Findings 91

5.2 Condusions

5.3 Recommendations 95

5.4 Areas of further research 95

REFERENCES 97

APPENDICES 103

APPENDIX A 103

Research questionnaire 103

APPENDIX B~ 108

INTERVIEW GUIDE 108

APPENDIX C~ 109

RESEARCH BUDGET 109

APPENDIX D~ 110

GHANT CHART SHOWING THE TIME FRAME 110

APPENDIXE 111

DATA ANALYSIS RESULTS 111