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

More documents

Recommendations

Info

Table 10 – Factors determining the likelihood of a CBAHW’s remaining in active practice in Mtito Andei Variable Model 1 Model 2 Model 3 S.d. S.d. S.d. Constant -12.9467 7.9998 -10.0410 5.9311 -3.8016 1.6892 Possession of business skills (dummy) 2.1471 2.2494 1.6951 1.9645 - Years of farming experience Distance to veterinary shop (km) Keeping of practice records (dummy) Refresher courses (number attended) Income (Kshs per year) 0.2048 0.1590 0.1766 0.1410 - 0.0638 0.0935 - - - 6.6088 ** 3.0838 6.6141 ** 2.8875 0.9480 *** 0.5762 2.4166 * 1.4686 1.9216 * 1.1122 4.7015 ** 1.5388 0.000017 0.000022 - - - –2Log likelihood/Goodness of fit 12.395/20.4 54 12.752/25.5 92 15.018/25.9 88 Chi-squared 30.84 (p = 30.48 (p = 000) 000) Source: Survey data, 2001. Note: Level of significance: *** = 0.01; ** = 0.05; * = 0.10. 28.21 (p = 000) Model 3 in Table 10 was chosen as describing the data best. The model showed that the number of refresher courses and the keeping of practice records positively and significantly influenced the likelihood of a CBAHW’s remaining in active practice. These are the same variables that were found to influence the level of activity. In this study, it was difficult to capture all the hypothesized variables in an econometric model, and further investigations are required in this area. The odds ratio indicates that after attending refresher training three times, a CBAHW is 17.2 times more likely to remain in active practice than one who has attended only once. Furthermore, a CBAHW keeping records is 110 times (95 percent confidence interval 107.10, 113.12) more likely to remain in active practice than the one who keeps none. Table 11 shows that CBAHWs are more likely to remain active with repeated attendance of refresher courses.
Table 11 -- The odds ratio of a CBAHW’s remaining active by attending repeated refresher courses Number of refresher courses Odds ratio 95% C.I. One 2.5805 (1.4511, 3.7098) Two 6.6592 (5.5298, 7.7886) Three 17.1844 (16.055, 18.3137) Source: Survey data, 2001. Possession of business skills did not significantly influence the probability of a CBAHW’s remaining in active practice (p < 0.05) even though the CBAHWs who had business skills training attended to more cases than those without (Table 8). 5.0. THE CLIENTELE OF COMMUNITY-BASED ANIMAL HEALTH WORKERS 5.1 Farm and farmer characteristics Livestock keepers interviewed were on average 49 years of age. They owned an average of 27.8 acres of land (ranging from 2 to 268). All of the households kept some livestock, which included cattle, goats, sheep, and chicken. Table 12 gives the current numbers of livestock kept and estimates of income from various major cropping activities in the previous season.
Page 1 and 2:
Part One - Agricultural Productivit
Page 3 and 4:
I. Introduction Agricultural Produc
Page 5 and 6:
came about from expansion of cultiv
Page 7 and 8:
study, therefore, limited itself to
Page 9 and 10:
Land allocation and yields of 12 cr
Page 11 and 12:
Table 6: Key economic variables for
Page 13 and 14:
local seed in absolute terms and th
Page 15 and 16:
Table 11: Crosscutting priority con
Page 17 and 18:
Table 13: General constraints to ma
Page 19 and 20:
These results clearly demonstrate t
Page 21 and 22:
Table 18: Crosscutting constraints
Page 23 and 24:
V. Policy Implications The findings
Page 25 and 26:
References Appleton, Simon (2001).
Page 27 and 28:
1.0 BACKGROUND 1.1 Introduction Low
Page 29 and 30:
egins with a summary of the literat
Page 31 and 32:
Source: National Wetlands Conservat
Page 33 and 34:
shillings (§37-38). Every landowne
Page 35 and 36:
Similarly, Howard (1995) used socia
Page 37 and 38:
Uganda may well have more than a qu
Page 39 and 40:
factors that explain household leve
Page 41 and 42:
of inputs 18 , pests and diseases,
Page 43 and 44:
(PMA p. 27). It also requires impro
Page 45 and 46:
agriculturalists, who still do not
Page 47 and 48:
to have covered 30,000 ha. During t
Page 49 and 50:
4.0 RESEARCH METHODOLOGY The breadt
Page 51 and 52:
• What is the current extent of w
Page 53 and 54:
Figure 2. Changes in Sources of Com
Page 55 and 56:
Figure 5. Proportion of Households
Page 57 and 58:
estimates are remarkably consistent
Page 59 and 60:
FSI - Percentage by District Distri
Page 61 and 62:
was corrected using the White-Huber
Page 63 and 64:
utilization for the household. Howe
Page 65 and 66:
The nature of the structures to con
Page 67 and 68:
impact of irrigation on horticultur
Page 69 and 70:
growing population. Wetland protect
Page 71 and 72:
APPENDICES Appendix 1. The Wetlands
Page 73 and 74:
Appendix 2. THE 5V’s PRIORITY CLA
Page 75 and 76:
Appendix 5. Determinants of Product
Page 77 and 78:
Estimated covariances = 79 Number o
Page 79 and 80:
International Food Policy Research
Page 81 and 82:
Scherr, Sara J., 1999b. Poverty-env
Page 83 and 84:
Land Tenure, Agricultural Productiv
Page 85 and 86:
1.3 Statement of the problem Land s
Page 87 and 88:
In order to achieve these objective
Page 89 and 90:
densely populated Nyeri and Kakameg
Page 91 and 92:
Figure 3: Conceptual Model Type of
Page 93 and 94:
Figure 4: Location of the Study Dis
Page 95 and 96:
By 2001, land demarcation and regis
Page 97 and 98:
3.4 Survey Design The survey was un
Page 99 and 100:
3.5.3 Model of Environmental Degrad
Page 101 and 102:
questionnaire (Figure 8). Prominent
Page 103 and 104:
Figure 10: Availability of hired la
Page 105 and 106:
Figure 13 shows the level of cultiv
Page 107 and 108:
joint significance test on the 4 dr
Page 109 and 110:
Table 8: Regression Results on Maiz
Page 111 and 112:
was classified into three categorie
Page 113 and 114:
Table 9: Tobit Analysis with Enviro
Page 115 and 116:
5.0 CONCLUSIONS AND POLICY IMPLICAT
Page 117 and 118:
5.5 Access to Market A number of fa
Page 119 and 120:
FAO (2003b). “Women and Food Secu
Page 121 and 122:
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 and 174:
to engage in this new role, the gov
Page 175 and 176:
2.0 RESEARCH METHODOLOGY 2.1 Overal
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
Page 225 and 226:
A third, related explanation argues
Page 227 and 228:
educed marketing costs related to p
Page 229 and 230:
1.4. Research questions This study
Page 231 and 232:
1.6. Organization of the report Thi
Page 233 and 234:
the cases, respectively (Table 2.4)
Page 235 and 236:
Brokers believe that most regional
Page 237 and 238:
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 and 290:
Annex Table 2.10: Have you faced di
Page 291 and 292:
Annex Table 2.21: Do you consider p
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
Page 341 and 342:
Table 2. Perceived change in benefi
Page 343 and 344:
unsatisfactory (Table 8). Flaws in
Page 345 and 346:
Table 14. Measures of wealth status
Page 347 and 348:
Results from Regression Analysis Ta
Page 349 and 350:
However, to maintain these benefits
Page 351 and 352:
Table 18. Determinants of participa
Page 353 and 354:
_______ 1981. Common property and c
Page 355 and 356:
Management Regulations and Enforcem
Page 357 and 358: In theory, under PFM, the governmen
Page 359 and 360: 3.2 Desk study The desk study invol
Page 361 and 362: Table 1: Number and gender of indiv
Page 363 and 364: Poverty Increase in number of fishe
Page 365 and 366: Table 5: Responses given by various
Page 367 and 368: wages after the catch is sold (see
Page 369 and 370: 70 60 No of respondents 50 40 30 20
Page 371 and 372: 4.2.3 Lack of attention to social i
Page 373 and 374: 5.3 Regulate the construction of re
Page 375 and 376: REFERENCES Allison, E. H., and P. M
Page 377 and 378: APPENDIXES Appendix A: Districts of
Page 379 and 380: Questions and responses Government
Page 381 and 382: Questions and responses Lack of coo
Page 383 and 384: CHAPTER TEN Animal Health Service D
Page 385 and 386: • Individuals are selected for tr
Page 388 and 389: Makueni district was selected becau
Page 390 and 391: 1.5 Justification of the study The
Page 392 and 393: more sustainable (Leonard 1993; Uma
Page 394 and 395: of defined roles for CBAHWs within
Page 396 and 397: Interviews with veterinary officers
Page 398 and 399: The estimated model was of the form
Page 400 and 401: Gender remains a sensitive issue. P
Page 402 and 403: The most common ailments and diseas
Page 404 and 405: 4.3 Factors influencing the level o
Page 406 and 407: Table 9 -- Factors influencing the
Page 410 and 411: Table 12 -- Current mean numbers of
Page 412 and 413: Figure 4: Percentage of household h
Page 414 and 415: CBAHWs were the most utilized chann
Page 416 and 417: Users of veterinarians’ services
Page 418 and 419: Table 18 -- Levels of incomes and l
Page 420 and 421: higher average calving per cow, whi
Page 422 and 423: Table 21 -- CBAHWs’ ranking of sp
Page 424 and 425: epresentative of livestock keepers
Page 426 and 427: Despite the restriction imposed by
Page 428 and 429: veterinarians. Such associations co
Page 430 and 431: References Akabwai, D., V. Shean, a
Page 432 and 433: Johnson, P. J., and C. Chahuares. 1
Page 434 and 435: Appendix 1: The Logistic Procedure
Page 436 and 437: Social Capital and Sustainable Agri
Page 438 and 439: 1.1 Soil conservation programs and
Page 440 and 441: 1.3 Research Objectives and Hypothe
Page 442 and 443: Institutional and Policy factors -
Page 444 and 445: land pressure is high (Holden 1991)
Page 446 and 447: include density of membership in gr
Page 448 and 449: then summed up according to increas
Page 450 and 451: Social capital, resource use, and a
Page 452 and 453: Table 4.4 Farmers’ perception of
Page 454 and 455: Table 4.5: Empowerment and politica
Page 456 and 457: Table 4.8: Indicators of collective
Page 458 and 459:
Table 4.10: Comparison of means of
Page 460 and 461:
5. The influence of social capital
Page 462 and 463:
especially when considered on an ad
Page 464 and 465:
households may pay less attention t
Page 466 and 467:
Table 5.3 Determinants of terracing
Page 468 and 469:
and Gichuki 1994). In the 1940s, th
Page 470 and 471:
Table 5.4. Determinants of soil con
Page 472 and 473:
5.3. Social capital, resource use,
Page 474 and 475:
6. Implications for policy and prog
Page 476 and 477:
essential for the formation of exte
Page 478 and 479:
BIBLIOGRPAHY Admassie, Y., L. I. Mw
Page 480 and 481:
Gambetta, D. 1988. Can we trust tru
Page 482 and 483:
Social capital and watershed develo
Page 484 and 485:
Obare, G. A., S. W. Omamo, and J. C
Page 486 and 487:
Washington D.C.: The World Bank Tem
Page 488 and 489:
Appendix: A list of Contributors Ab
Page 490 and 491:
Appendix: Projects Supported Under
Page 492:
IFPRI Eastern Africa Food Policy Ne
show all

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

Create successful ePaper yourself

Delete template?

Save as template?