Thesis Re-print: Does Selling Fruits or Vegetables - Department of ...

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Figure 14: Mean and Median Annual Sale Values of Seven Crop Groupings Sale Value in USD $140 $120 $100 $80 $60 $40 $20 $- Maize, fruit and vegetables Maize and fruit, not vegetables Source of Data: TIA 2005 Mean and Median Annual Sale Value Maize and vegetables, not fruit 33 Only Maize Only Fruit Only Vegetables Fruit and Vegetables, not maize Mean Total Sale Value Median Total Sale Value Reflected in Figure 14, the mean value of sales over all crops (maize, cash crops, fresh produce) is lowest among the groups which sell only one crop. The mean value of sales is highest for farmers who sold fruit and vegetables together without maize, and the median value of sales is highest for farmers who sell fruit, vegetables and maize. These high market values give evidence of the existing (and growing) local demand for fruit and vegetables in Mozambique.
2.3.3 Persistence of Successful Fresh Produce or Maize Marketing It was noted from section 2.3.1 that agricultural sales are highly concentrated in Mozambique. It was then shown in section 2.3.2 that many FFV sellers only sell fruit or vegetables, therefore cash income is being achieved by farmers in horticulture that is not being found by selling other crops. It is also worthy to note that of those that are in the top sales quintile of fresh produce or maize, very few remain in the top sales quintile over the course of time. Between the two panel years of the TIA (2002 and 2005), only 3.17% of FFV sellers are in the top quintile of sellers in both years, and similarly among maize sellers, only 2.9% of sellers remain in the top quintile. Tables 5 and 6 take a closer look at the 4,104 farmers who were interviewed in both years of the TIA survey in regards to their marketing behavior, to better understand the proportions of farmers who sell in both years, those who are persistent top-sellers in both years, and the spatial distribution of these sellers. Tables 7 and 8 explore household characteristic differences between these groups to help understand if top sellers in maize look different from top sellers in fresh produce, as well as what distinguishes each top-selling group from the other farmers who sold. Table 5. The percentage of households selling FFV and maize in each of the panel years of the TIA data used % of HHs Selling Nationally Southern Region Central Region Northern Region FFV Maize FFV Maize FFV Maize FFV Maize 2002 31.2% 21.2% 31.6% 4.7% 42.4% 25.4% 27.4% 24.8% 2005 22.7% 17.8% 20.2% 2.7% 23.2% 23.4% 23.2% 20.5% 34
Page 1 and 2: AGRICULTURAL RESEARCH INSTITUTE OF
Page 3 and 4: ACKNOWLEDGEMENTS The Directorate of
Page 5 and 6: (2) In the absence of other insuran
Page 7 and 8: for their ongoing prayers and suppo
Page 9 and 10: 4.4.1 Improved inputs or input pack
Page 11 and 12: LIST OF FIGURES FIGURE 1: POPULATIO
Page 13 and 14: APE Average Partial Effect LIST OF
Page 15 and 16: the continent, the broad consensus
Page 17 and 18: Yet, because female-headed househol
Page 19 and 20: 2005. Because of attrition, 4,104 o
Page 21 and 22: matches where appropriate 3 and 229
Page 23 and 24: combining the elevation, land cover
Page 25 and 26: Figure 2: Urban Share of Population
Page 27 and 28: Figure 4: Income Elasticity of Dema
Page 29 and 30: Despite some government support to
Page 31 and 32: Table 2. Household characteristics
Page 33 and 34: Table 4. Household characteristics
Page 35 and 36: Figure 6: Share of fresh produce sa
Page 37 and 38: FFV sales is less, 22% of total inc
Page 39 and 40: Figure 8: Production Behavior of Fr
Page 41 and 42: Figure 10: Maize, Fruit and Vegetab
Page 43 and 44: suggesting that different factors d
Page 45: challenges for vegetable sales pose
Page 49 and 50: Descriptive statistics for a variet
Page 51 and 52: Market Access One of the factors th
Page 53 and 54: Table 8: Comparison of Fresh Produc
Page 55 and 56: also significantly more average roa
Page 57 and 58: sense. Average elevation is higher
Page 59 and 60: Chapter 3: Modeling smallholder fre
Page 61 and 62: crop produced almost exclusively un
Page 63 and 64: Neither market access nor price inf
Page 65 and 66: Increasing productivity on fresh pr
Page 67 and 68: Second, population density at the d
Page 69 and 70: Table 9 (cont’d.) Category Asset
Page 71 and 72: 3.2.2 Strength of Asset Base Factor
Page 73 and 74: valuation variable, also generated
Page 75 and 76: hill or mountain and has to rise. O
Page 77 and 78: to help control for adverse agro-ec
Page 79 and 80: family with more adult females woul
Page 81 and 82: decision to sell and the quantity d
Page 83 and 84: 3.4 Estimation Proceedure The Cragg
Page 85 and 86: E 1 2 vx, x 1 1 xit + it | it i
Page 87 and 88: mean of each time-varying explanato
Page 89 and 90: The coefficients on population dens
Page 91 and 92: Table 11 (cont’d.) Maize Probit M
Page 93 and 94: Table 12 (cont’d.) Fruit Probit F
Page 95 and 96: with the typically insignificant ef
Page 97 and 98:
sale outcomes, however. These resul
Page 99 and 100:
was created for the 150-day maize g
Page 101 and 102:
to spend additional money on effort
Page 103 and 104:
Chapter 4. Key Findings Strong grow
Page 105 and 106:
generate marketable surplus differs
Page 107 and 108:
Unlike among maize sellers, the var
Page 109 and 110:
growth in use, the proliferation of
Page 111 and 112:
4.4.3. Fruit and vegetable sellers
Page 113 and 114:
APPENDICES 100
Page 115 and 116:
Appendix B: Cost-Distance Travel Ti
Page 117 and 118:
Map 2: Cost Distance Surface using
Page 119 and 120:
Page 121 and 122:
Page 123 and 124:
Map 8: Rainfall in Southern Africa
Page 125 and 126:
REFERENCES 112
Page 127 and 128:
Center for International Earth Scie
Page 129 and 130:
Report (Vol. 53E). Maputo, Mozambiq
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