The Future of Smallholder Farming in Eastern Africa - Uganda ...

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In line with the research questions mentioned, this study tests several hypotheses. The first hypothesis is that liberalization has enhanced market efficiency as measured through integration of spatially separated maize markets. A second hypothesis is that producer prices have increased while consumer prices have declined. This situation might be a result of a reduction in marketing costs, which would in turn be the result of more open and competitive markets. A third hypothesis is that improved infrastructure has reduced marketing costs. And the final hypothesis is that government policy and actions of government and its agencies have had a negative effect on the performance of the marketing system.
2.0 RESEARCH METHODOLOGY 2.1 Overall Research Design For the purpose of this study, we divided the country into four categories: major maizesurplus areas, minor maize-surplus areas, minor maize-deficit areas, and major maize-deficit areas. A preliminary analysis of maize production and consumption data on a district basis was used to classify districts as surplus or deficit areas. Further analysis using geographic information systems (GIS) allowed us to map the country into the four categories (Figure 2). Following the initial classification, four districts (one in each category) were chosen for the detailed study. To ensure the representativeness of the districts chosen, the following additional factors were also taken into consideration: • A district’s importance as a production area and its contribution to the total domestically marketed maize production; • A district’s importance as a consumption area; • The type of farmers in the district (large- and small-scale farmers); • The potential flow of market information; • The degree of infrastructure development (especially roads); and • A district’s rural or urban character. Using these criteria, we chose four districts for the study: Trans Nzoia, Migori, Mbeere, and Nairobi (Figure 2). Table 1 shows these characteristics for the four districts. Table 1--Characteristics of sampled districts District Trans Nzoia Migori Mbeere Nairobi Average maize production 196,663 61, 900 9,768 2,350 (tons) a Average maize consumption 60,877 61,799 19,617 182,097 (tons) b Road density (km/km 2 ) 0.48 0.63 0.38 3.30 Type of farmers Large and small scale Small scale Small scale Urban kitchen gardens Rural/urban c Rural Rural Rural Urban Source: Ministry of Agriculture Annual Reports (various issues), CBS (2000), District Development Plans (various issues). a. Average production for 1992-2000, 1993-2000, 1995-1999, and 1998-2000 for Trans Nzoia, Migori, Mbeere, and Nairobi, respectively. b. Average consumption for 1992-2000 for Trans Nzoia, Migori, and Nairobi and 1995-2000 for Mbeere. c. A district was classified as rural or urban on the basis of population density and whether main activities are agricultural or nonagricultural (see Carter 1995). Trans Nzoia District, in the Rift Valley Province, lies in the western region of the country, which is often referred to as the country’s maize granary. The region produces about 60 percent of the country’s average annual total production of 2.7 million metric tons of maize and contributes about 90 percent of the marketed production of 0.5 million metric tons. Trans
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Part One - Agricultural Productivit
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I. Introduction Agricultural Produc
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came about from expansion of cultiv
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study, therefore, limited itself to
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Land allocation and yields of 12 cr
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Table 6: Key economic variables for
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local seed in absolute terms and th
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Table 11: Crosscutting priority con
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Table 13: General constraints to ma
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These results clearly demonstrate t
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Table 18: Crosscutting constraints
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V. Policy Implications The findings
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References Appleton, Simon (2001).
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1.0 BACKGROUND 1.1 Introduction Low
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egins with a summary of the literat
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Source: National Wetlands Conservat
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shillings (§37-38). Every landowne
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Similarly, Howard (1995) used socia
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Uganda may well have more than a qu
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factors that explain household leve
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of inputs 18 , pests and diseases,
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(PMA p. 27). It also requires impro
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agriculturalists, who still do not
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to have covered 30,000 ha. During t
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4.0 RESEARCH METHODOLOGY The breadt
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• What is the current extent of w
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Figure 2. Changes in Sources of Com
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Figure 5. Proportion of Households
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estimates are remarkably consistent
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FSI - Percentage by District Distri
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was corrected using the White-Huber
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utilization for the household. Howe
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The nature of the structures to con
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impact of irrigation on horticultur
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growing population. Wetland protect
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APPENDICES Appendix 1. The Wetlands
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Appendix 2. THE 5V’s PRIORITY CLA
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Appendix 5. Determinants of Product
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Estimated covariances = 79 Number o
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International Food Policy Research
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Scherr, Sara J., 1999b. Poverty-env
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Land Tenure, Agricultural Productiv
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1.3 Statement of the problem Land s
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In order to achieve these objective
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densely populated Nyeri and Kakameg
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Figure 3: Conceptual Model Type of
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Figure 4: Location of the Study Dis
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By 2001, land demarcation and regis
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3.4 Survey Design The survey was un
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3.5.3 Model of Environmental Degrad
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questionnaire (Figure 8). Prominent
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Figure 10: Availability of hired la
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Figure 13 shows the level of cultiv
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joint significance test on the 4 dr
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Table 8: Regression Results on Maiz
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was classified into three categorie
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Table 9: Tobit Analysis with Enviro
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5.0 CONCLUSIONS AND POLICY IMPLICAT
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5.5 Access to Market A number of fa
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FAO (2003b). “Women and Food Secu
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Omiti John and Paul Obunde (2002).
Page 123 and 124: Annex 1: Pearson Correlation Coeffi
Page 125 and 126: SEXHH SEXLUSER TSECUR VEGCP1 CHILDE
Page 127 and 128: Part two - Agricultural Markets
Page 129 and 130: Market Liberalisation and Agricultu
Page 131 and 132: farms show annual fluctuations, wit
Page 133 and 134: Figure 2: Recent trends in domestic
Page 135 and 136: 5. The Model The interest of this s
Page 137 and 138: sources for each sector. α IM ji a
Page 139 and 140: Savings Households’ savings are a
Page 141 and 142: The value-added price is defined th
Page 143 and 144: Specifically, the Government polici
Page 145 and 146: Table 5: Calculated Tariff Rates (%
Page 147 and 148: disincentive to farmers. Inability
Page 149 and 150: competitiveness. The second one is
Page 151 and 152: Table 7: Wage Rates and Labour Inco
Page 153 and 154: Similar simulation is undertaken in
Page 155 and 156: References Block, S. and C.P. Timme
Page 157 and 158: Tyler, G. J. and Akinboade, O. 1992
Page 159 and 160: (A.10) ai ∑ P ϖ P i=1,...,3; j =
Page 161 and 162: (A.32) price (A.33) P Q = P ( 1+ td
Page 163 and 164: Table A.2: Variables of KEGEM Varia
Page 165 and 166: VA A i Efficiency parameter in valu
Page 167 and 168: CHAPTER FIVE Post-Liberalization Ma
Page 169 and 170: As alluded to earlier, initial agri
Page 171 and 172: directly to dairy farmers as animal
Page 173: to engage in this new role, the gov
Page 177 and 178: markets with minor gaps in data ser
Page 179 and 180: Price-series correlations are conve
Page 181 and 182: Migori Awendo Postliberalization 1,
Page 183 and 184: model depends on whether or not the
Page 185 and 186: Table 6b--Unit root tests for price
Page 187 and 188: Table 8a--Unit root tests for OLS r
Page 189 and 190: 3.3 The Role of Infrastructure and
Page 191 and 192: Table 13--Reported distances from t
Page 193 and 194: Table 15--Reported maize storage pr
Page 195 and 196: Table 17--Traders’ perception of
Page 197 and 198: 3.3.6.2 Awareness of the Liberaliza
Page 199 and 200: Retailer (open-air market) 21 13 7
Page 201 and 202: 3.4 Maize Marketing Costs Traders w
Page 203 and 204: 3.4.4 License and Market Fees Accor
Page 205 and 206: 5.Develop farmers’ and traders’
Page 207 and 208: Coulter, J., and J. A. F. Compton.
Page 209 and 210: Meilink, A. H. 1987. Food consumpti
Page 211 and 212: Figure 1 Maize surplus and deficit
Page 213 and 214: Figure 3 Trends in Maize Prices 199
Page 215 and 216: Price per 90kg bag (Kshs) Mbeere Di
Page 217 and 218: Figure 4 Modes of transporting maiz
Page 219 and 220: Figure 6: Limitations to storage ca
Page 221 and 222: Figure 8: Problems experienced in a
Page 223 and 224: CHAPTER SIX Grain Marketing in Addi
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A third, related explanation argues
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educed marketing costs related to p
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1.4. Research questions This study
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1.6. Organization of the report Thi
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the cases, respectively (Table 2.4)
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Brokers believe that most regional
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There is also a close relationship
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Table 2.14: Buyers’ methods for i
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Source: Survey, 2002. Table 2.18: D
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Table 2.22: Method used to grade di
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Table 2.25: Access to credit broker
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It has been reported that grain pur
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3. GRAIN RETAILERS Retailers serve
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Like brokers, retailers use cash or
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Table 3.11: Buyers’ information a
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Table 3.14: Retailers’ views of g
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Getting reliable price information
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Table 4.4: How do you set a sales p
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Table 4.7: Means of settling disput
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a.m. The survey included wholesale
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Table 5.3: Instability index of dai
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Table 5.7: Seasonality index of who
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Figure 5.3: Ratio of wholesale to r
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Table 5.8: Results of stationary te
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Table 5.10: Summary of Granger caus
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holiday sales. The results of the r
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Table 6.1: Storage capacity of the
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Intermarket grain flow is coordinat
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• a legal, regulatory, and enforc
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REFERENCES Al-Hassen, R., A. Dorwar
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Seppala, P. 1998. Decisive liberali
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achieve some welfare objective. The
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Annex Table 2.10: Have you faced di
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Annex Table 2.21: Do you consider p
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Annex Table 3.3: Cost structure of
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Annex Table 4.2: Complementary acti
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CHAPTER SEVEN Post-Harvest Grain Ma
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only (see Abebe 2000: 80-83). That
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of processing as an important post-
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occur at all stages of post-harvest
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Endowment & access to Resources (e.
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Figure 2: The Study Areas (shaded a
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(6) β i = β 0 λ i , 0
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Intercrop differences Liquidity con
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eplace old animals (19 percent of h
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Table 5. Number and capacity of gra
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Table 7b.Estimated grain loss durin
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7.1.3. Grain Marketing Practices an
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1.8 Producers' price 1.6 1.4 1.2 1
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next season, grain prices tend to b
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Table 13: Regression results (Tobit
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of grain production was reportedly
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instruments to mitigate price risks
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Coulter, J. and G. Onumah, (2002).
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Appendix: Supplementary Tables Appe
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CHAPTER EIGHT Collective Action in
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The objectives of DRS were to popul
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increasing participation. Thus, the
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Table 2. Perceived change in benefi
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unsatisfactory (Table 8). Flaws in
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Table 14. Measures of wealth status
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Results from Regression Analysis Ta
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However, to maintain these benefits
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Table 18. Determinants of participa
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_______ 1981. Common property and c
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Management Regulations and Enforcem
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In theory, under PFM, the governmen
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3.2 Desk study The desk study invol
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Table 1: Number and gender of indiv
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Poverty Increase in number of fishe
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Table 5: Responses given by various
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wages after the catch is sold (see
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70 60 No of respondents 50 40 30 20
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4.2.3 Lack of attention to social i
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5.3 Regulate the construction of re
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REFERENCES Allison, E. H., and P. M
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APPENDIXES Appendix A: Districts of
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Questions and responses Government
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Questions and responses Lack of coo
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CHAPTER TEN Animal Health Service D
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• Individuals are selected for tr
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Makueni district was selected becau
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1.5 Justification of the study The
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more sustainable (Leonard 1993; Uma
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of defined roles for CBAHWs within
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Interviews with veterinary officers
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The estimated model was of the form
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Gender remains a sensitive issue. P
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The most common ailments and diseas
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4.3 Factors influencing the level o
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Table 9 -- Factors influencing the
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Table 10 - Factors determining the
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Table 12 -- Current mean numbers of
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Figure 4: Percentage of household h
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CBAHWs were the most utilized chann
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Users of veterinarians’ services
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Table 18 -- Levels of incomes and l
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higher average calving per cow, whi
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Table 21 -- CBAHWs’ ranking of sp
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epresentative of livestock keepers
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Despite the restriction imposed by
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veterinarians. Such associations co
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References Akabwai, D., V. Shean, a
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Johnson, P. J., and C. Chahuares. 1
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Appendix 1: The Logistic Procedure
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Social Capital and Sustainable Agri
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1.1 Soil conservation programs and
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1.3 Research Objectives and Hypothe
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Institutional and Policy factors -
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land pressure is high (Holden 1991)
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include density of membership in gr
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then summed up according to increas
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Social capital, resource use, and a
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Table 4.4 Farmers’ perception of
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Table 4.5: Empowerment and politica
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Table 4.8: Indicators of collective
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Table 4.10: Comparison of means of
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5. The influence of social capital
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especially when considered on an ad
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households may pay less attention t
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Table 5.3 Determinants of terracing
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and Gichuki 1994). In the 1940s, th
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Table 5.4. Determinants of soil con
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5.3. Social capital, resource use,
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6. Implications for policy and prog
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essential for the formation of exte
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BIBLIOGRPAHY Admassie, Y., L. I. Mw
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Gambetta, D. 1988. Can we trust tru
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Social capital and watershed develo
Page 484 and 485:
Obare, G. A., S. W. Omamo, and J. C
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Washington D.C.: The World Bank Tem
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Appendix: A list of Contributors Ab
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Appendix: Projects Supported Under
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IFPRI Eastern Africa Food Policy Ne
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