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Table 8. Percentage contribution of rice and watermelon to household income of nine case-study farmers, Dambo, Pangil, Laguna (1990). Farmer Total household ~iumbee income Farm income Rice Watermelon reported (70) (%l aFal-mer 10, l1 and 12 were not included in this table.
hiem bers Discussion and Recommendations Group 1: Methodology R. Shand - Sri Lanka (convenor); R. Islam - Bangladesh; C. Barba - Philippines; V. Villancio - Philippines; M. Ahmed - ICLARM; J. Graham - IDRC; D. M. Ramiaramanana - Madagascar; R. Gonzaga - Philippines; P. A. Samaratunga - Sri Lanka; and G. K. Renuka - Sri Lanka. This group reviewed the lessons learned about methodology to suggest guidelines for future impact studies. The group agreed that the formulation and application of FSR impact methodology was readily distiriguishable from its predecessor, i.e., comporient research with a systems perspective. The former included a range of impact variables. The challenge of developing a suitable methodology was raised frequently during the discussioris. The attempt at a comprehensive measurement of all impact variables was made in only one of the studies (Sri Lanka). Setting objectives In this project, seven objectives were agreed on at the initial workshop. Teams represented in the discussion group were unanimous in the view that attaining their targets, although a laudable objective, was far too ambitious, at least within the structure of the project. A major reason was that, although the measurernent of impact was to focus on income levels and variables influenced by changes in income levels rather than on adoption, accurate measurement of adoption levels of the new technologies was a necessary precursor to further analysis. Adoption measurement not only absorbed time and resources but, in many cases, produced problems because there was no single or even several methodologies for this measurement. This had an impact on three studies in particular, but was a concern for all. Guideline 1: Do not set objectives for an FSR impact study on the assumptiori that a satisfactory location-specific methodolojg exists for mensu ring technology adoption. This particular issue was instrumental in reducing the number of objectives that the teams attempted to achieve. There was full agreement on the basic need to measure the impact of technological change on productivity and income, but there
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IRRl DISCUSSION PAPER SERIES NO. 15
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RECEIVED I RECU .- r b :'.i!~atlon
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Welcome address S .P.R. Weerasinghe
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Welcome Address S. P. R. Weerasingh
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Opening Comments After 15 yr of far
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increased as well, but only nlargin
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esult in high incomes for farmers,
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Investor concerns Usually investors
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WORKSHOP OBJECTIVES This workshop i
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Rice is the major food crop and die
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esource use and productivity varies
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Determination of ado,)tion factors
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number of active family members per
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At both sites, more than 73% of the
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Hossain A M, Nur-E-Elahi, Nazrul I
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Table 2. Crop varietal sequence sco
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Table 4. Correlation illatsix used
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- Table 6. Socioeconomic characteri
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Table 8. Extent of adoption and ave
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Table 10. Resource use and producti
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Table 12. Extent of adoption and di
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Table 14. Summary of per hectare ca
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IRlPACT OF FARMING SYSTEMS RESEARCH
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new information collected during FS
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average family owns seven heads of
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H Horticulture. To have a more regu
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improved varieties require higher l
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The types of the training provided
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extension agency in the district, t
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m Extension and other production-su
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Table 3. Farm characteristics of th
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Table 6. Farm practices and product
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Table 8. Major crops, crop varietie
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Table 10. Production and use of mil
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Table 13. Major problems and constr
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Table 15. Training undergone by the
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Table 17. Links between farmers and
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----l CROP SUBSYSlLM rnurt L OTT tb
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West Java provincial le~el BACKGROU
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OBJECTIVES The specific objectives
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Labor requirement Labor requirement
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system models. This indicated that
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Unit prices for all items were obta
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Price elasticity. The demand for al
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district fishery extension services
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Table 2. Production of freshwater f
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Table 4. Level of inputs used in ea
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Table 6. Labor requirement for each
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able 8. Income analysis of each FS
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Table 10. Nonfood expenditure patte
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Table 12. The value of assets (IRP
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Table 15. Nonfood expenditure patte
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Table 17. Elasticities of food comm
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l Oct k Jan Feb Mar Apr May Jun Jul
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From 1980 to 1986, the Integrated R
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THE 1'\VO ;MATURE TECHNOLOGIES Dire
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Conceptual framework STUDY METHODS
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Tai. Mungbean was introduced in Dok
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Land preparation for rice. The reac
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price of mungbean was high, some fa
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manufacturers. The earlier models (
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Net farm income per household The a
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that although adopters were better
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W It produced a good stand of rice
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Table l. The promising technologies
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Table 3. Mungbean before rice areas
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Table 5. Number of farm households
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Table 7. Area planted to mungbean,
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Table 9. Area planted to mungbean,
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Table 11. Area under dry seeded ric
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continued.. . Table 12. Socioeconom
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continued.. . Table 12. Socioeconom
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l~ndicative figures only. '~ature t
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composition, increases in income ca
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not be captured if the criteria for
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crops (rice, maize, and mungbean) a
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The explanatory Lwiable, nitrogen (
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of the ratio of actual intake and r
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Farming Systems Research and Extens
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Table 3. Input levels and productiv
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Table 5. Comparison of annual house
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Table 7. Comparison of annual nonfo
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Table 9. Comparison of percentage p
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Table 11. Log-linear models of impa
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INSTITUTIONALIZING THE FARILIIIVG S
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agricultural production system by i
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In the midwest plain, where there a
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Varietal irnprovernent. This compon
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solutions to problems under the bas
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Table 2. Rice farming systems in Ca
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Table 5. Component-technology studi
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Wangwacharachul (1984) examined the
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household basis on an income and ex
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first crop. In 1989-90, the adopter
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Nonfarm expenses constituted the bu
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Herbicide is essential for DSR. How
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o The classification of farmers on
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Table 1. List of \,ariables idc~l~l
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Table 3. Conlparison of cash flow o
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Table 5. Level of input use for the
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Table 7. Production elasticities of
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FROXl GREEN REVOLUTION TO FARhlING
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ainfed areas. The RIARS project app
Page 207 and 208: stability and sustainability. 1nsti
Page 209 and 210: o Limited feedback at all levels. A
Page 211 and 212: Table l. Chronological sequcnce of
Page 213 and 214: Table l. Chronological sequence of
Page 215 and 216: Impact studies A number of studies
Page 217 and 218: some simple statistical tests to as
Page 219 and 220: assets). Patterns of food consumpti
Page 221 and 222: Production functions for first-seas
Page 223 and 224: and nonadopters indicate that there
Page 225 and 226: E~zdowr~tcnt of l~ouselrol~f assets
Page 227 and 228: variety, inadequate attention was p
Page 229 and 230: Table 1. Farming system research si
Page 231 and 232: Table 4. Comparison of levels of in
Page 233 and 234: Table-6. Compariso~i of le\.els of
Page 235 and 236: Table 9. Estimated production funct
Page 237 and 238: Table 11. Factor shares of first-se
Page 239 and 240: Table 13. Factor slirlres of third-
Page 241 and 242: Table 15. Endownlent of farm assets
Page 243 and 244: IAIPACT ASSESShlEhT OF FARMING SYST
Page 245 and 246: Depending on the adequacy of rainfa
Page 247 and 248: Demograpllic cllaractehtics. The co
Page 249 and 250: The major farm implements owned by
Page 251 and 252: Effect of RWCS on household cash fl
Page 253 and 254: Table 1. Average cash expenses per
Page 255 and 256: Table 5. Selected clia~~acteristics
Page 257: Table 7. Comparative pcrforinance o
Page 261 and 262: Guideline 4: FSR impact projects sh
Page 263 and 264: hlem bers o The need to improve doc
Page 265 and 266: Members what is right depends on po
Page 267 and 268: Decentralization and farming system
Page 269 and 270: o More program and less project fun
Page 271 and 272: Bangladesh Mr. RaGqul Islam Banglad
Page 273 and 274: Dr. N.F.C. Ranawecru Di\ision of .-
Page 275 and 276: CFTSSF CLSU CSD CSSAC CVIADP CVRP-I
Page 277 and 278: PIADP PCA PCARRD PHARLAP PSC PTA RA
Page 279 and 280: Production Team Editor : Michael Gr
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