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

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Annex Table 2.17: Do you consider demand in setting prices Response Number % Yes 58 86.6 No 9 13.4 Total 67 100.00 Annex Table 2.18: Methods of knowing number of buyers in the market Method Yes No Report of arrival from clients or 29 (50.0%) 29 (50.0%) regular buyers Personal observation of total buyers 46 (79.3%) 12 (20.7%) in the market Specific dates of the month 25 (43.1%) 33 (56.9%) Holiday seasons versus nonholiday 38 (65.5%) 20 (34.5%) seasons Entry or presence of large buyers in 48 (82.8%) 10 (17.2%) the market Exchange of information with other brokers 33 (60.0%) 22 (40.0%) Annex Table 2.19: Brokers’ opinion about the overall demand for grain in 2000 compared with the previous year Opinion Yes % Increased 7 10.4 Decreased 52 77.6 No change 7 10.4 No idea 1 1.5 Total 67 100.0 Annex Table 2.20: Reasons for declining demand for grain in 2000 Reason Yes % Increase in grain supply 13 25.0 Low purchasing power of 26 50.0 consumers Fewer buyers 2 3.8 Others 13.5 No idea 4 7.7
Annex Table 2.21: Do you consider prices of other brokers in setting prices Response Number % Yes 52 77.6 No 15 22.4 Total 67 100.00 Annex Table 2.22: Types of brokers whose prices are considered in setting daily prices Type of broker Yes No Dominant broker 22 (42.3%) 30 (57.7%) Friendly broker 42 (80.8%) 10 (19.2%) Brokers in nearby stall 49 (94.2%) 3 (5.8%) Annex Table 2.23: Price adjustment between the opening and the closing of the market Frequency Time 0 1 2 3 5 6:00–7:00 3 (8.8%) 7 (20.6%) 10 (29.4%) 10 (29.4%) 4 (11.8%) a.m. 7:01–8:00 2 (5.4%) 17 (45.9%) 13 (35.1%) 5 (13.5%) a.m. 8:01–9:00 5 (19.2%) 14 (53.8%) 4 (15.4%) 3 (11.5%) a.m. Annex Table 2.24: Are you willing to pay for an agency that provides grading and certification Response Number % Yes 17 25.4 No 50 74.6 Total 67 100.00 Annex Table 2.25: Services received from licensing authorities Response Number % Nothing 64 95.5 Collect taxes 2 3.0 No idea 1 1.5
Page 1 and 2:
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).
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Annex 1: Pearson Correlation Coeffi
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SEXHH SEXLUSER TSECUR VEGCP1 CHILDE
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Part two - Agricultural Markets
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Market Liberalisation and Agricultu
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farms show annual fluctuations, wit
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Figure 2: Recent trends in domestic
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5. The Model The interest of this s
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sources for each sector. α IM ji a
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Savings Households’ savings are a
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The value-added price is defined th
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Specifically, the Government polici
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Table 5: Calculated Tariff Rates (%
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disincentive to farmers. Inability
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competitiveness. The second one is
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Table 7: Wage Rates and Labour Inco
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Similar simulation is undertaken in
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References Block, S. and C.P. Timme
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Tyler, G. J. and Akinboade, O. 1992
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(A.10) ai ∑ P ϖ P i=1,...,3; j =
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(A.32) price (A.33) P Q = P ( 1+ td
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Table A.2: Variables of KEGEM Varia
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VA A i Efficiency parameter in valu
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CHAPTER FIVE Post-Liberalization Ma
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As alluded to earlier, initial agri
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directly to dairy farmers as animal
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to engage in this new role, the gov
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2.0 RESEARCH METHODOLOGY 2.1 Overal
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markets with minor gaps in data ser
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Price-series correlations are conve
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Migori Awendo Postliberalization 1,
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model depends on whether or not the
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Table 6b--Unit root tests for price
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Table 8a--Unit root tests for OLS r
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3.3 The Role of Infrastructure and
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Table 13--Reported distances from t
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Table 15--Reported maize storage pr
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Table 17--Traders’ perception of
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3.3.6.2 Awareness of the Liberaliza
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Retailer (open-air market) 21 13 7
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3.4 Maize Marketing Costs Traders w
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3.4.4 License and Market Fees Accor
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5.Develop farmers’ and traders’
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Coulter, J., and J. A. F. Compton.
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Meilink, A. H. 1987. Food consumpti
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Figure 1 Maize surplus and deficit
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Figure 3 Trends in Maize Prices 199
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Price per 90kg bag (Kshs) Mbeere Di
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Figure 4 Modes of transporting maiz
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Figure 6: Limitations to storage ca
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Figure 8: Problems experienced in a
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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
Page 239 and 240: Table 2.14: Buyers’ methods for i
Page 241 and 242: Source: Survey, 2002. Table 2.18: D
Page 243 and 244: Table 2.22: Method used to grade di
Page 245 and 246: Table 2.25: Access to credit broker
Page 247 and 248: It has been reported that grain pur
Page 249 and 250: 3. GRAIN RETAILERS Retailers serve
Page 251 and 252: Like brokers, retailers use cash or
Page 253 and 254: Table 3.11: Buyers’ information a
Page 255 and 256: Table 3.14: Retailers’ views of g
Page 257 and 258: Getting reliable price information
Page 259 and 260: Table 4.4: How do you set a sales p
Page 261 and 262: Table 4.7: Means of settling disput
Page 263 and 264: a.m. The survey included wholesale
Page 265 and 266: Table 5.3: Instability index of dai
Page 267 and 268: Table 5.7: Seasonality index of who
Page 269 and 270: Figure 5.3: Ratio of wholesale to r
Page 271 and 272: Table 5.8: Results of stationary te
Page 273 and 274: Table 5.10: Summary of Granger caus
Page 275 and 276: holiday sales. The results of the r
Page 277 and 278: Table 6.1: Storage capacity of the
Page 279 and 280: Intermarket grain flow is coordinat
Page 281 and 282: • a legal, regulatory, and enforc
Page 283 and 284: REFERENCES Al-Hassen, R., A. Dorwar
Page 285 and 286: Seppala, P. 1998. Decisive liberali
Page 287 and 288: achieve some welfare objective. The
Page 289: Annex Table 2.10: Have you faced di
Page 293 and 294: Annex Table 3.3: Cost structure of
Page 295 and 296: Annex Table 4.2: Complementary acti
Page 297 and 298: CHAPTER SEVEN Post-Harvest Grain Ma
Page 299 and 300: only (see Abebe 2000: 80-83). That
Page 301 and 302: of processing as an important post-
Page 303 and 304: occur at all stages of post-harvest
Page 305 and 306: Endowment & access to Resources (e.
Page 307 and 308: Figure 2: The Study Areas (shaded a
Page 309 and 310: (6) β i = β 0 λ i , 0
Page 311 and 312: Intercrop differences Liquidity con
Page 313 and 314: eplace old animals (19 percent of h
Page 315 and 316: Table 5. Number and capacity of gra
Page 317 and 318: Table 7b.Estimated grain loss durin
Page 319 and 320: 7.1.3. Grain Marketing Practices an
Page 321 and 322: 1.8 Producers' price 1.6 1.4 1.2 1
Page 323 and 324: next season, grain prices tend to b
Page 325 and 326: Table 13: Regression results (Tobit
Page 327 and 328: of grain production was reportedly
Page 329 and 330: instruments to mitigate price risks
Page 331 and 332: Coulter, J. and G. Onumah, (2002).
Page 333 and 334: Appendix: Supplementary Tables Appe
Page 335 and 336: CHAPTER EIGHT Collective Action in
Page 337 and 338: The objectives of DRS were to popul
Page 339 and 340: 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
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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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