Impact of Best Practice Hub (Bph) on Vegetable

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Impact of Best Practice Hub (Bph) on Vegetable IMPACT OF BEST PRACTICE HUB (BPH) ON VEGETABLE PRODUCTION AMONG YOUTH FARMERS IN TANZANIA by Philipo Joseph Lukumay A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Master of Science in Agricultural and Resource Economics Spring 2019 © 2019 Philipo Joseph Lukumay All Rights Reserved IMPACT OF BEST PRACTICE HUB (BPH) ON VEGETABLE PRODUCTION AMONG YOUTH FARMERS IN TANZANIA by Philipo Joseph Lukumay Approved: _________________________________________________________ Leah H. Palm-Forster, Ph.D. Assistant Professor in charge of thesis on behalf of the Advisory Committee Approved: _________________________________________________________ Thomas W. Ilvento, Ph.D. Chair of the Department of Applied Economics and Statistics Approved: _________________________________________________________ Mark W. Rieger, Ph.D. Dean of the College of Agriculture and Natural Resources Approved: _________________________________________________________ Douglas J. Doren, Ph.D. Interim Vice Provost for Graduate and Professional Education ACKNOWLEDGMENTS I am grateful to my supervisors Dr. Leah H. Palm-Forster and Dr. Justus Ochieng for the opportunity they granted me to learn from their intellectual expertise and experience in the field of agricultural economics. I got all the necessary academic support and guidance throughout my research process. I am also indebted to Jim and Marcia Borel for funding my studies through the Borel Global Fellowship program and for their warm moral support and encouragement during their frequent and lovely visits during my time at the University of Delaware. I deeply recognize and acknowledge academic support from Dr. Kelly Davidson and Dr. Ahsanuzzaman. I also acknowledge support from the World Vegetable Center –Eastern and Southern Africa for funding part of my research, giving me access to resources and hosting me during my thesis writing period. My accomplishments couldn’t have been possible without social, financial and intellectual support from both the University of Delaware, the Borel Global Fellowship, and the World Vegetable Center-Eastern and Southern Africa. Many thanks to my first mentor in the field of agricultural economics Dr. Victor-Afari-Sefa who proposed I apply for the fellowship and made sure that I succeed academically. I also thank my beloved wife Luciana Ismaely and son Lameck Philipo Lukumay for their patience during the whole time I have been out and busy. I appreciate the support from my parents Joseph Parmet Lukumay and Anna John Mollel for their warm encouragement in time of difficulties. Through the contributions from everyone, I was able to reach an extra mile in my career iii TABLE OF CONTENTS LIST OF TABLES ................................................................................................... vi LIST OF FIGURES ................................................................................................ vii ABSTRACT ........................................................................................................... viii Chapter 1 INTRODUCTION ........................................................................................ 1 1.1 Research Problem ................................................................................ 1 1.2 General Objective ................................................................................ 4 1.2.1 Specific Objectives .................................................................. 5 1.3 Organization of the Thesis ................................................................... 5 2 LITERATURE REVIEW ............................................................................. 6 2.1 Vegetable Farming and the Problem of Synthetic Pesticide Use in SSA 6 2.2 Integrated Pest Management (IPM) ........................................................ 7 2.3 Conceptual Framework and Hypotheses ................................................ 9 2.3.1 Conceptual Framework ............................................................... 9 2.4 Research Hypotheses ............................................................................ 12 3 RESEARCH METHODOLOGY................................................................ 13 3.1 BPH Program Description .................................................................... 13 3.2 Placement of the BPH Program ............................................................ 13 3.3 Sample Selection ................................................................................... 15 3.4 Data Collection ..................................................................................... 16 3.5 Variable Selection ................................................................................. 16 3.6 Empirical Model ................................................................................... 20 3.6.1 Propensity Score Matching (PSM) ........................................... 21 4 RESULTS AND DISCUSSION ................................................................. 27 4.1 Descriptive Statistics ............................................................................. 27 4.1.1 Summary Statistics Results for Outcome Variables ................. 28 4.1.2 Summary Statistics Results for Synthetic Pesticide Use and IPM ........................................................................................ 31 4.1.3 Fruit Vegetables versus Leafy Vegetables ................................ 33 iv 4.2 Factors Influencing Participation into BPH Training Program ............ 36 4.3 Impact of BPH Training Program ......................................................... 38 4.3.1 Testing for Bias Resulting from Observables ........................... 38 4.3.2 Impact of the BPH Training Program ....................................... 42 4.3.3 Sensitivity Analysis .................................................................. 46 5 CONCLUSION AND RECOMMENDATION .......................................... 49 REFERENCES ....................................................................................................... 52 Appendix A MATCHING BALANCE ON OBSERVABLE CHARACTERISTICS .... 61 B IMPACT OF BPH ON DIRECT VERSUS INDIRECT ............................ 64 C PERMISSION TO USE SECONDARY DATA ........................................ 65 D QUESTIONNAIRE: WORLDVEG-VINESA PROJECT ......................... 66 v LIST OF TABLES Table 1: Hypotheses ..................................................................................................... 12 Table 2: Frequency and percentages of responses based on six protection gears farmers use in project location ................................................................ 19 Table 3: The list of selected observable covariates and outcome variables used in the model....................................................................................................... 20 Table 4: Summary statistics for selected socioeconomics, institutional, farm characteristics and outcome variables ..................................................... 30 Table 5: Summary statistics for vegetable yield (t/ha), use of synthetic pesticide and IPM ......................................................................................................... 32 Table 6: Summary statistics by vegetable categories .................................................. 35 Table 7: Factors influencing participation of vegetable farmers in the BPH training program ................................................................................................... 37 Table 8: Estimation of the impact of BPH training program on direct participants .... 43 Table 9: Estimation of the impact of BPH training program on indirect participants . 45 vi LIST OF FIGURES Figure 1: Conceptual diagram ...................................................................................... 11 Figure 2: Map of Tanzania and part of Arumeru district showing project and control villages. Karangai and Maweni are recently formed villages within formerly large Kikwe village which later became Kikwe ward. Manyire and Kwa-Ugoro are not part of the study................................................ 14 Figure 3: Distribution of estimated propensity scores to test common support for direct participants’ farmers and control farmers ..................................... 40 Figure 4: Kernel density distribution to test balance between direct participants farmers and control farmers .................................................................... 40 Figure 5: Distribution of estimated propensity scores to test common support for indirect participants’ farmers and control farmers .................................. 41 Figure 6: Kernel density distribution to test balance between indirect participants’ farmers and control farmers .................................................................... 41 vii ABSTRACT Sub-Saharan Africa (SSA) is experiencing an increase in the use of synthetic pesticide in a manner that escalates concerns over rising economic, public health, and environmental costs. Promotion of Integrated Pest Management (IPM) through Best Practice Hubs (BPHs) is hypothesized to encourage farmers to use synthetic pesticide more judiciously along with non-chemical pest management practices such as pest resistant seeds, crop rotation, soil improvement, field hygiene, mulching etc. Vegetable farmers are expected to reduce the quantity of pesticide used, reduce pesticide expenditures, boost profits and reduce farmers’ vulnerability
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