- Page 1 and 2: AN ASSESSMENT OF TOMATO PRICE VARIA
- Page 3 and 4: DEDICATION This thesis is dedicated
- Page 5 and 6: to the Dean, School of Agricultural
- Page 7 and 8: 3.4.1 Variability and Predictabilit
- Page 9 and 10: LIST OF TABLES Table 2.1: Budget Sh
- Page 11 and 12: LIST OF FIGURES Figure 1.1: Geograp
- Page 13 and 14: 1.1 Background CHAPTER 1 INTRODUCTI
- Page 15 and 16: (Ksh 1 )7.5 billion) of total veget
- Page 17 and 18: chains and independent supermarkets
- Page 19 and 20: towards lowering the costs, encoura
- Page 21 and 22: Chapter 5 concludes the thesis with
- Page 23 and 24: andomized cluster sample design. Th
- Page 25 and 26: 2.2 Methods With these three sets o
- Page 27 and 28: perceptions of farmers and traders
- Page 29 and 30: Table 2.2: Budget Share of Differen
- Page 31 and 32: Table 2.3: Budget Share of Differen
- Page 33 and 34: Figure 2.1: Channel Map for Tomato
- Page 35 and 36: Table 2.4: Key Characteristics of T
- Page 37 and 38: Table 2.6 cont’d Area Province Ma
- Page 39: Figure 2.2: Monthly Soweto Wholesal
- Page 43 and 44: Table 2.7: Retail Outlet Market Sha
- Page 45 and 46: Table 2.9: Retail Outlet Market Sha
- Page 47 and 48: Freshmark mostly prefers to have la
- Page 49 and 50: With the dual procurement system th
- Page 51 and 52: Compared to Soweto market which had
- Page 53 and 54: During this period, tomato prices w
- Page 55 and 56: Figure 2.4: Tomato Pricing at Whole
- Page 57 and 58: Table 2.11: Mean Tomato Prices for
- Page 59 and 60: 2.5 Summary and Conclusions 2.5.1 I
- Page 61 and 62: In the period January 2007 to June
- Page 63 and 64: CHAPTER 3 TOMATO PRICE VARIABILITY
- Page 65 and 66: In the hot wet season, disease prev
- Page 67 and 68: patterns differ across markets, red
- Page 69 and 70: case of a flood, its effects could
- Page 71 and 72: 3.2 Hypothesis Testing The level of
- Page 73 and 74: Table 3.2: Description of Data Used
- Page 75 and 76: Coefficient of Variation= Where;
- Page 77 and 78: Where; P t - the observed tomato pr
- Page 79 and 80: A look at price variability in each
- Page 81 and 82: For further comparison of the mean
- Page 83 and 84: Figure 3.2: Comparison of the Ratio
- Page 85 and 86: Figure 3.4: Comparison of Condition
- Page 87 and 88: thereby making the farmers more con
- Page 89 and 90: d. The absence of cold chain system
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depend on local suppliers for their
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The provision of market information
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upon arrival in the market. Lower q
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- Assets used in tomato production,
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Tomato price data used for analysis
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4.4 The Monte Carlo Model The Basel
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CF Fixed conversion factor of 37.
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- Seedling costs - Seed costs - Fie
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differences were due to differences
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Table 4.2: Farmer Characteristics B
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Group 1 Table 4.4: Basic Informatio
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farmers can in practice suffer a to
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4.5.2 Simulation Results for the Di
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Scenario 1: Increased Sales Frequen
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knowledge of what their yields and
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Table 4.12: The Effect of Supply Ch
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Table 4.13: Production of Low and H
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quality; when supplies are high in
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etter farmers would attempt to have
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CHAPTER 5 CONCLUSION This study was
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top twelve tomato supply areas acco
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Freshpikt and Rivonia are the main
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on prediction errors from a price p
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absence of a cold chain system, the
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price variability, the expectation
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In the scenario analysis of increas
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price variability affects the diffe
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facilitate the provision of low cos
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APPENDICES 135
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i. What type of farmers do they pre
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Taipei, Taiwan Table A2.3. Model Su
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Colombo, Sri Lanka A2.7. Model Summ
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APPENDIX 3. Graphs of Price Predict
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Figure A3.3. Price Prediction Resid
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Figure A3.5. Price Prediction Resid
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9. Name of Main Respondent (if diff
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SECTION 3 - HARVEST AND SALES OF CR
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SECTION 4 - PLANTING AND HARVEST PA
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155 _______________ _______________
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5.2 Planted Seedlings Phase Field #
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PHASE 2 - FIELD PREPARATION 5.5 Enu
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5.7 Irrigation prior to transplanti
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4=Spraying 5=Weeding 6=Placement of
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Field # Please list all the types o
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that you used in your tomato produc
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Trailer Van/light truck Borehole Bo
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Field # Time from 1 st harvest Phas
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Second Field Field # Time from 1 st
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Field # Time from 1 st harvest Phas
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Second field: 8.0 Harvesting and Ma
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APPENDIX 5. Distribution of Sampled
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Figure A6.2. Distributions for Cost
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Figure A6.4. Distributions for Cost
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APPENDIX 7. Histograms of Farmer Pr
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Figure A7.3. Baseline Scenario: His
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Figure A7.5. Increased Sales Freque
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Figure A7.7. Increased Sales Freque
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Figure A7.9. Supply Chain Improveme
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Figure A7.11. Supply Chain Improvem
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Figure A7.13. Scenario on Quality o
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Figure A7.15. Scenario on Quality o
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Figure A7.17. Scenario on Low Quali
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Figure A7.19. Scenario on Low Quali
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BIBLIOGRAPHY 205
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Stevens, C. and J. Kennan (1999). W