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Research for Development IRRI's in Country Roles - IRRI books

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ContentsForewordvAcknowledgmentsviExecutive summaryviiWhy an <strong>in</strong>ternational center <strong>for</strong> rice? 1Present <strong>in</strong>volvement 1History of <strong>in</strong>volvement 3Criteria <strong>for</strong> <strong>in</strong>volvement: history 3A summary of criteria <strong>for</strong> <strong>in</strong>volvement <strong>in</strong> countries 3Modes of collaboration 12Criteria <strong>for</strong> <strong>IRRI</strong> office <strong>in</strong> country 22Criteria <strong>for</strong> differentiat<strong>in</strong>g <strong>in</strong>volvement 25Criteria <strong>for</strong> evaluat<strong>in</strong>g RD&D focus 25Target and means of delivery 25Bibliography 28Web database sites 28Appendix 1. Group<strong>in</strong>gs and modes of collaboration from 29previous medium-term planAppendix 2. Ten features of a good country-assistance 30strategy


ForewordThe <strong>in</strong>volvement of <strong>IRRI</strong> <strong>in</strong> many countries requires that weidentify priorities among and with<strong>in</strong> countries.This publication br<strong>in</strong>gs together relevant <strong>in</strong><strong>for</strong>mation thatcould be used to identify countries and areas where <strong>IRRI</strong>would <strong>in</strong>vest its scarce resources. As experience will show,however, this is not a straight<strong>for</strong>ward exercise. One still hasto use other considerations, sometimes not quantifiable, toreach a decision on priority sett<strong>in</strong>g.Be that as it may, hav<strong>in</strong>g a good database and an analysisof the <strong>in</strong><strong>for</strong>mation conta<strong>in</strong>ed there<strong>in</strong> allows <strong>for</strong> a synopticview of the conditions, especially as they affect rice. Thissynoptic view is important <strong>in</strong> sett<strong>in</strong>g priorities.While we recognize that this database is at an earlystage, we hope that this compendium and its analyticalsection will be the start of a comprehensive and transparentprocess that will allow managers and researchers to determ<strong>in</strong>epriorities and levels of <strong>in</strong>volvement <strong>in</strong> our countryprograms.We hope that researchers and research managers willf<strong>in</strong>d this work useful. We welcome suggestions on how tofurther improve the contents of this compendium and ref<strong>in</strong>ethe process of priority sett<strong>in</strong>g.WILLIAM G. PADOLINADeputy Director General, Partnerships<strong>IRRI</strong>v


AcknowledgmentsThe contents of this paper represent the collective ef<strong>for</strong>tsand vision of many <strong>IRRI</strong> staff members over the past 40years of the Institute’s history. In particular, we would like tohighlight the contributions of Dr. Glenn Denn<strong>in</strong>g, who was<strong>in</strong>strumental <strong>in</strong> develop<strong>in</strong>g and support<strong>in</strong>g many of <strong>IRRI</strong>’scountry programs. We thank Bill Hardy <strong>for</strong> his meticulousedit<strong>in</strong>g of this document.vi


Executive summaryOrganizations <strong>in</strong>vest <strong>in</strong> <strong>IRRI</strong> as a vehicle <strong>for</strong><strong>in</strong>creas<strong>in</strong>g impact and enhanc<strong>in</strong>g the livelihoodsof those poor people who depend on rice. As aresult of this <strong>in</strong>vestment, <strong>IRRI</strong> now has researchactivities <strong>in</strong> more than 20 countries and <strong>in</strong>teractswith many more. These activities are conducted<strong>in</strong> partnership with a range of national agriculturalresearch and extension systems (NARES).The <strong>for</strong>m of <strong>in</strong>volvement ranges from major <strong>in</strong>countryprojects through various <strong>for</strong>ms ofcollaborative research and tra<strong>in</strong><strong>in</strong>g to <strong>in</strong><strong>for</strong>mationand germplasm exchange and occasionalconsultancy visits. The purpose of this documentis to (1) document <strong>IRRI</strong>’s past and present<strong>in</strong>volvement <strong>in</strong> countries and (2) document thecriteria <strong>for</strong> <strong>IRRI</strong>’s <strong>in</strong>volvement and the <strong>for</strong>ms ofthat <strong>in</strong>volvement. These criteria provide a basis<strong>for</strong> analysis of <strong>IRRI</strong>’s activities both now and <strong>in</strong>the future. Such ongo<strong>in</strong>g analysis is required toallow <strong>for</strong> changes <strong>in</strong> country needs as theireconomies develop and needs shift. Thus, theappropriate <strong>for</strong>ms of collaboration and <strong>in</strong>volvementwith each country are not static but willrequire constant review.Criteria <strong>for</strong> <strong>in</strong>volvementThe primary criteria <strong>for</strong> <strong>IRRI</strong> to be <strong>in</strong>volved <strong>in</strong> acountry relate to (1) the significance of rice and(2) the extent of poverty. (Note: Various <strong>in</strong>dicatorscan be used <strong>for</strong> both of these factors.) Aseries of other modifiers then determ<strong>in</strong>es theactual extent and <strong>for</strong>m of <strong>in</strong>volvement. Thesefactors are of two types:<strong>Country</strong> factors:1. Level of economic development2. Extent of country demand <strong>for</strong> assistance andcollaboration3. NARES capacity <strong>in</strong> terms of research anddelivery4. Opportunities <strong>for</strong> collaboration and impact(and spillover) <strong>in</strong> light of the socio-politicalsett<strong>in</strong>g5. Importance of national and regional foodsecurity6. <strong>Country</strong> population7. Distance from Los Baños<strong>IRRI</strong> factors:1. <strong>IRRI</strong> comparative advantage and supplycapacity2. Availability of fundsData can then be assembled on each ofthese factors and used to analyze countrygroup<strong>in</strong>gs and potential <strong>IRRI</strong> <strong>in</strong>vestment.Forms of <strong>in</strong>volvement<strong>IRRI</strong>’s broad roles can be def<strong>in</strong>ed as those ofprovider, facilitator, and/or collaborator. As acountry’s research, delivery, and development(RD&D) capacity grows, <strong>IRRI</strong>’s role will shiftfrom one of primarily provid<strong>in</strong>g to <strong>in</strong>creasedlevels of facilitation and collaboration. Thethemes of collaboration can take on various<strong>for</strong>ms, <strong>in</strong>clud<strong>in</strong>g• Upstream research (e.g., genomics, biotechnology)• Strategic research (e.g., weed ecologystudies)• Applied research (e.g., technology development,evaluation, adaptation, and delivery)Collaborative research activities can <strong>in</strong>clude• Exchanges of• Germplasm• Prototypes• In<strong>for</strong>mation/knowledgevii


<strong>Research</strong> <strong>for</strong> <strong>Development</strong>: <strong>IRRI</strong>’s In-<strong>Country</strong> <strong>Roles</strong>M.A. Bell, J.A. Lapitan, and M. Hossa<strong>in</strong>Why an <strong>in</strong>ternational center <strong>for</strong> rice? 1One of every three people depend on rice <strong>for</strong>more than half of their daily food and one <strong>in</strong> n<strong>in</strong>e(about 700 million) depend on ra<strong>in</strong>fed rice.N<strong>in</strong>ety percent of the world’s rice is grown andconsumed <strong>in</strong> Asia, where more than half theworld’s people and about two-thirds of theworld’s poor live. Rice is also an important staple<strong>in</strong> some countries of Lat<strong>in</strong> America and Africa.<strong>IRRI</strong> was orig<strong>in</strong>ally established to helpnational systems assist farmers <strong>in</strong> develop<strong>in</strong>gcountries <strong>in</strong> produc<strong>in</strong>g more rice to improve rural<strong>in</strong>comes and overcome chronic national foodshortages. In this, <strong>IRRI</strong> and others have beensuccessful. From 1965-67 to 1991-93, total riceproduction doubled. However, rice surpluses andlow prices <strong>in</strong> recent years have helped give thefalse impression that the world’s food productionproblems have been solved. World populationpressure is <strong>in</strong>tense with about 80–100 millionadditional people need<strong>in</strong>g to be fed each year. Inresponse, the world’s annual unmilled riceproduction must <strong>in</strong>crease by around 8–12 milliont of milled rice per year to keep up with populationgrowth and <strong>in</strong>come-<strong>in</strong>duced demand <strong>for</strong>food. At current world yield levels, this meansadd<strong>in</strong>g 2–3 million ha of new rice-produc<strong>in</strong>g landper year—land that is not available. Thus, tomeet demand and reduce drudgery, we needsusta<strong>in</strong>able and improved rice production systemsthat will lead to more rice on limited landwith less water, less labor, and less chemical<strong>in</strong>puts. We also need to achieve this withoutharm<strong>in</strong>g the environment.Present <strong>in</strong>volvement<strong>IRRI</strong>’s broad roles can be def<strong>in</strong>ed as those ofprovider, facilitator, and/or collaborator. Table 1shows the current range of <strong>IRRI</strong>’s primaryresearch activities. <strong>IRRI</strong> also has a range ofother activities <strong>in</strong> more than 70 countries. Forexample, from 1995 to 2000, <strong>IRRI</strong> provided ricegermplasm to 52 countries through the InternationalNetwork <strong>for</strong> Genetic Evaluation of Rice(INGER) (Table 2). In human resource development,<strong>IRRI</strong> has around 200 participants <strong>in</strong>tra<strong>in</strong><strong>in</strong>g events each year. Throughout its history,<strong>IRRI</strong> has had almost 6,000 participants <strong>in</strong> shorttermgroup tra<strong>in</strong><strong>in</strong>g and around 3,000 <strong>in</strong> degree/nondegree tra<strong>in</strong><strong>in</strong>g from 98 countries. Many ofthose tra<strong>in</strong>ed now hold important positions <strong>in</strong>their government programs. In<strong>for</strong>mation exchange<strong>in</strong>volves 130 countries with the bulk ofthis—around 80% of all publication distribution—be<strong>in</strong>g with 20 countries (Australia, Bangladesh,Brazil, Ch<strong>in</strong>a, India, Indonesia, Iran, Japan,<strong>IRRI</strong> is presently <strong>in</strong>volved with germplasm and natural resource management research <strong>in</strong>more than 20 countries, germplasm exchange with 52 countries, <strong>in</strong><strong>for</strong>mation distribution with130 countries, and tra<strong>in</strong><strong>in</strong>g <strong>in</strong>volv<strong>in</strong>g more than 50 countries.1This section comes <strong>in</strong> part from <strong>IRRI</strong>’s Web page.1


Table 1. Summary of <strong>IRRI</strong> activities <strong>in</strong> major rice-produc<strong>in</strong>g countries as of 2000.Substantial Liaison <strong>Country</strong> Network Consortia member*<strong>Country</strong> research office project memberactivity IR RL UR FPBangladesh Y Y Y HR Y (y) YBhutanPBrazilYCambodia P Y (y)Ch<strong>in</strong>a Y Y IPM, INM, HR Y (y)EgyptIndia Y Y IPM, INM, HR Y Y Y YIndonesia Y Y IPM, INM, HR Y Y YIranSPKorea (N)Lao PDR Y Y IPM Y (y) YMadagascar P P (y)Malaysia IPM YMyanmar P Y (y) (y)NepalPakistanPeruPhilipp<strong>in</strong>es Y IPM, INM, HR Y Y YSri Lanka HR YThailand Y Y IPM, INM Y Y Y YVietnam Y Y IPM, INM, HR Y Y YDeveloped countriesAustralia YFranceYJapan IJS YKorea (S) YUSAY*IR = irrigated, RL = ra<strong>in</strong>fed lowlands, UR = uplands, FP = Flood-prone, IJS = <strong>IRRI</strong>-Japan Shuttle, IPM = <strong>in</strong>tegrated pest management, INM =<strong>in</strong>tegrated nutrient management, P = presently phas<strong>in</strong>g down unless fund<strong>in</strong>g scenario changes, HR = hybrid rice, SP = special project, Y = yes,(y) = associate or observer member.Note: The Indonesia liaison office also has responsibility <strong>for</strong> Malaysia and Brunei Darussalam.Table 2. Countries collaborat<strong>in</strong>g with INGER, 1995-2000.Asia Africa Europe/West Asia Oceania-Pacific AmericasBangladesh Egypt Iran Australia Argent<strong>in</strong>aBhutan Côte d’Ivoire Iraq Fiji Island BoliviaCambodia Gambia Italy Papua New Gu<strong>in</strong>ea BrazilCh<strong>in</strong>a Kenya Turkey ColombiaIndia Madagascar Turkmenistan CubaIndonesia Morocco GuyanaJapan Mozambique MexicoKorea (S) Namibia PeruKorea (N) Nigeria Sur<strong>in</strong>amLao PDR Senegal USAMalaysia Sierra LeoneMyanmar South AfricaNepal TanzaniaPakistan ZambiaPhilipp<strong>in</strong>esSri LankaTaiwanThailandVietnam2


Malaysia, Nepal, Nigeria, Pakistan, Philipp<strong>in</strong>es,South Korea, Sri Lanka, Tanzania, Thailand, UK,USA, and Vietnam).History of <strong>in</strong>volvementTable 3 summarizes <strong>IRRI</strong>’s historical <strong>in</strong>volvement<strong>in</strong>clud<strong>in</strong>g the post<strong>in</strong>g of <strong>in</strong>-country staffwith the major collaborat<strong>in</strong>g countries (researchl<strong>in</strong>kages with advanced research <strong>in</strong>stitutions <strong>in</strong>countries such as Australia, France, Japan, SouthKorea, and the USA are not shown).<strong>IRRI</strong> has a rich history of major projects <strong>in</strong>more than 20 countries.Criteria <strong>for</strong> <strong>in</strong>volvement: historyHistory would suggest that multiple criteriadeterm<strong>in</strong>e <strong>in</strong>volvement with countries, <strong>in</strong>volv<strong>in</strong>gboth dom<strong>in</strong>ant factors and a series of modifiers.For example, Table 4 shows the criteria and<strong>in</strong>dicators used <strong>in</strong> the previous <strong>IRRI</strong> mediumtermplan (MTP) <strong>for</strong> allocat<strong>in</strong>g priorities. Thesecriteria have recently been reviewed and thesuggested percent <strong>in</strong>vestment by ecoregion andcountry is shown <strong>in</strong> Table 5. In the case of theInternational Programs Management Office(IPMO), several criteria were added <strong>for</strong> def<strong>in</strong><strong>in</strong>gthe level of <strong>in</strong>volvement and mode of collaboration(see Table 4 and Appendix 1; Appendix 2shows the summarized World Bank strategy <strong>for</strong><strong>in</strong>volvement). In the case of the ConsultativeGroup on International Agricultural <strong>Research</strong>(CGIAR), <strong>for</strong>mer Chairman I. Serageld<strong>in</strong> statedthat CG <strong>in</strong>volvement is to be based on• A strong and unremitt<strong>in</strong>g focus on povertyalleviation,• Commitment to br<strong>in</strong>g modern science to bearon the atta<strong>in</strong>ment of the new vision,• Priority to South Asia and sub-SaharanAfrica, where most of the world’s poor live,• Regional approaches to research plann<strong>in</strong>g,and• Close <strong>in</strong>tegration of CGIAR activities withthose of partners <strong>in</strong> the develop<strong>in</strong>g regions,<strong>in</strong>clud<strong>in</strong>g partners engaged <strong>in</strong> developmentwork.Historically, alleviat<strong>in</strong>g poverty, expected ricedemand, food security, susta<strong>in</strong>ability, andalternative suppliers of research have beenthe key factors used to determ<strong>in</strong>e suggested<strong>in</strong>vestment <strong>in</strong> countries. Gender equity,susta<strong>in</strong><strong>in</strong>g high yields, and shift<strong>in</strong>g the yieldfrontier were important modifiers.The suggested order of <strong>in</strong>vestment from themodel by agroecological zone <strong>in</strong> Asia is warmhumid tropics (AEZ3) > warm subhumid tropics(AEZ2) > warm subhumid subtropics withsummer ra<strong>in</strong>fall (AEZ6) > warm and semiaridtropics (AEZ1) > warm/cool humid subtropics(AEZ7) > warm arid and semiarid tropics withsummer ra<strong>in</strong>fall (AEZ5) > cool subtropics withsummer ra<strong>in</strong>fall (AEZ8).The order of <strong>in</strong>vestment by country or areaaccord<strong>in</strong>g to modified model output is India,Ch<strong>in</strong>a, Bangladesh, Africa, Indonesia, Lat<strong>in</strong>America, Vietnam, Myanmar/Nepal, Philipp<strong>in</strong>es,Pakistan, Thailand, Cambodia, Madagascar, SriLanka/Malaysia/Lao PDR, North Korea, SouthKorea, Japan.A summary of criteria <strong>for</strong> <strong>in</strong>volvement <strong>in</strong>countriesDom<strong>in</strong>ant factors: Based on <strong>IRRI</strong>’s goal “toimprove the well-be<strong>in</strong>g of present and futuregenerations of rice farmers and consumers,particularly those with low <strong>in</strong>come,” thedom<strong>in</strong>ant factors <strong>for</strong> <strong>in</strong>volvement are (1) thesignificance of rice and (2) the extent of poverty(with various <strong>in</strong>dicators that can be used <strong>for</strong>each) (Table 6). These factors can then be usedto group countries accord<strong>in</strong>g to various factors(e.g., Figures 1–18 and Tables 7 and 8). (Itshould be noted that the statistics presented arenational and considerable with<strong>in</strong>-country variationcan exist.)Modifiers: In addition to the dom<strong>in</strong>ant factors,several practical modifiers and factors determ<strong>in</strong>ethe appropriate <strong>for</strong>m and level of <strong>in</strong>volvement(Table 6). Some of the factors can be determ<strong>in</strong>edas discrete numbers, whereas some areassessments based on experience. One majorchange <strong>in</strong> determ<strong>in</strong><strong>in</strong>g <strong>IRRI</strong>’s <strong>in</strong>volvement is to3


Table 3. Summary of <strong>IRRI</strong> <strong>in</strong>volvement <strong>in</strong> various rice-produc<strong>in</strong>g countries.<strong>Country</strong> When First Project Period Pr<strong>in</strong>cipal donor <strong>IRRI</strong> staff members posted <strong>in</strong> countrycollaboration MOU/MOAstartedBangladesh 1966 1985 Bangladesh-<strong>IRRI</strong> 1967-73 Ford Foundation L.P.V. Johnson, plant breederRice Project R. Walker, rice specialist<strong>Research</strong> Station 1974-75 Ford Foundation D. Catl<strong>in</strong>g<strong>Development</strong>Rice <strong>Research</strong> 1976-80 (Phase I) Ford Foundation, F. Shepardand Tra<strong>in</strong><strong>in</strong>g Project AIDAB, CIDA, USAID M. McIntosh (1985-87)1981-87 (Phase II) (Phase I & II)1988-93 (Phase III) USAID and CIDA J. McIntosh, research(Phase II & III) systems specialistCollaborative <strong>Research</strong> 1994-97 ADB, Core S. Bhuiyan (based <strong>in</strong> Los Baños)ARMP 1998-to date WB S. Bhuiyan, <strong>IRRI</strong> representativePoverty Elim<strong>in</strong>ation 1999-to date DFID, Govt. of Noel Magor, project managerthrough Rice <strong>Research</strong> BangladeshAssistance (PETRRA)Bhutan 1984 1990 Rice-Based Farm<strong>in</strong>g 1984-95 IDRC G.L. Denn<strong>in</strong>g (project coord<strong>in</strong>ator basedSystems Project at Los Baños) 1994-June 1997Wetland Production 1995-June 2000 IDRC, SDC J.A. Lapitan (project coord<strong>in</strong>ator basedSystems Project at Los Baños, July 1997-June 2000)EPINARM July 2000-to date IDRC, SDCCambodia 1980 1986 CIAP—Cambodia-<strong>IRRI</strong>- 1987-2002 AusAid H. Nesbitt, agronomist, team leaderAustralia Project R. Lando, technology transferR. Chaudhary, plant breederR. Joshi, entomologistP. White, soil scientistE. Javier, plant breederJ. Rickman, ag eng<strong>in</strong>eerG. Jahn, entomologistP. Cox, ag economistCh<strong>in</strong>a 1960/1982 1998 <strong>IRRI</strong>-Ch<strong>in</strong>a Office 1998-to date Core Dr. S.X. Tang, liaison scientistEgypt Early 1970s 1980 Egypt-<strong>IRRI</strong> Rice 1988-91 (Phase I) USAID E. Spratt<strong>Research</strong> Project 1991-94 (Phase II) USAID A.P.K. ReddyR. T<strong>in</strong>sleyD. Hille Ris LambersA.N. RaoIndia 1967 1974 All India Cooperative 1967-72 USAID/Rockefeller W. Freeman, rice breeder andRice Improvement Foundation jo<strong>in</strong>t coord<strong>in</strong>atorProject (AICRIP) S.V.S. Shastry, geneticist and coord<strong>in</strong>atorH. teu Have, agronomistH. Kaufman, plant pathologistJ. Lowe, entomologistCollaborative projects 1974-to date Core and Govt. B.P. Ghildyal, liaison scientist 1984-95of India R.K. S<strong>in</strong>gh, liaison scientist 1995-to date4


Table 3 (cont<strong>in</strong>ued).<strong>Country</strong> When First Project Period Pr<strong>in</strong>cipal donor <strong>IRRI</strong> staff members posted <strong>in</strong> countrycollaboration MOU/MOAstartedIndonesia 1972 1978 National Rice 1977-84 USAID J.R. Cowan, liaison scientist 1977-83<strong>Research</strong> Program B.R. Jackson, plant breederR. Morris, cropp<strong>in</strong>g systems agronomistW. Tappan, liaison scientist 1984-88Collaborative Projects 1984-to date C. Mamaril, agronomist and liaisonscientist, 1989-95M. Syam, liaison scientist 1995-to dateIran Early 1960s 1983 Iran-<strong>IRRI</strong> Rice 1995-to date Govt. of Iran G.S. Khush (project coord<strong>in</strong>ator based <strong>in</strong><strong>Research</strong> and Los Baños)Tra<strong>in</strong><strong>in</strong>g ProjectJapan 1962 1979 <strong>IRRI</strong>-Japan office that 1962-73 Govt. of Japan Jukyu Cho, <strong>in</strong> charge of <strong>IRRI</strong>translates Japanese Tokyo officeRice LiteratureJapan-<strong>IRRI</strong> Shuttle 1990-to date Govt. of Japan Masami Himeda, liaison scientist<strong>Research</strong> Tadashi Mor<strong>in</strong>aka, liaison scientistKazuko Morooka, librarianHiroyuki Hib<strong>in</strong>o, liaison scientistKorea (North) 1988 1989 DPRK-<strong>IRRI</strong> Rice 1997-99 Rockefeller Foundation J.A. Lapitan (project coord<strong>in</strong>ator based <strong>in</strong><strong>Research</strong> and Los Baños)Tra<strong>in</strong><strong>in</strong>g ProjectKorea (South) 1964 1986 Rapid Seed 1968- RDA liaison scientists based at <strong>IRRI</strong>: C.S. ParkMultiplication Program 1979-80; G.S. Chung 1980-83; S.C. Lee 1983-84; C.I. Cho 1984-85; C.H. Kim 1986-89; J.K.GUVA Project 1978- Park 1989-90; M.S. Lim 1991-92; N.K. Park1993-94; J. Yang 1994-96; D. Chung 1996-98; M.H. Lee 1998-to dateLao PDR 1968 1987 <strong>IRRI</strong>-Lao <strong>Research</strong> SDC& Tra<strong>in</strong><strong>in</strong>g ProjectPhase I 1990-93 J. Schiller, team leaderS. Puspavesa, plant breederPhase II 1993-96 J. Schiller, team leaderT. Kupchanakul, agronomistW. Roder, agronomist (upland)Phase III 1996-June 2000 J. Schiller, team leaderB. L<strong>in</strong>quist, agronomistK. Farhney, agronomistPhase IV July 2000-June 2003 J. Schiller, team leaderB. L<strong>in</strong>quist, agronomist5


Table 3 (cont<strong>in</strong>ued).<strong>Country</strong> When First Project Period Pr<strong>in</strong>cipal donor <strong>IRRI</strong> staff members posted <strong>in</strong> countrycollaboration MOU/MOAstartedMadagascar 1982 1982; 1996 Madagascar-<strong>IRRI</strong> 1984-90 USAID J. Hooper, team leaderRice <strong>Research</strong> Project B. Shahi, plant breeder(3 phases) 1991-97 USAID V. Balasubramanian, team leaderT. Masajo, plant breederM. Gaudreau, cropp<strong>in</strong>g systems agronomistS. Almy, SocioeconomistMadagascar-<strong>IRRI</strong> 1998-January 2001 USAID M. Gaudreau, team leader and agroecologistEnvironment andAgriculture <strong>Research</strong>ProjectMyanmar 1965 1977 <strong>IRRI</strong>-Burma 1979-89 CIDA P. Escuro, rice breederCooperative ProjectMyanmar-<strong>IRRI</strong> Farm<strong>in</strong>g 1989-97 IDRC R. Palis, <strong>IRRI</strong> representative and agronomist,Systems Project 1989-94CBNRM (Community- 1997-2000 IDRC (to 1998) A. Garcia, <strong>IRRI</strong> representative and agronomist,Based Natural 1994-2000Resource ManagementProject)Nepal Early 1970s 1985 None None None NonePakistan 1966 1997 Pakistan-<strong>IRRI</strong> 1967-72 Ford Foundation K. Mueller, rice specialistAccelerated Rice G. McLean, rice specialistProduction ProjectPakistan-<strong>IRRI</strong> Rice 1997-98 World Bank None<strong>Research</strong> and Tra<strong>in</strong><strong>in</strong>gProjectPeru None None None None None NonePhilipp<strong>in</strong>es 1960 1960 Various 1960-to date Various R. Feueher, liaison scientist, 1973-82D. Wood, liaison scientist, 1983-866


Table 3 (cont<strong>in</strong>ued).<strong>Country</strong> When First Project Period Pr<strong>in</strong>cipal donor <strong>IRRI</strong> staff members posted <strong>in</strong> countrycollaboration MOU/MOAstartedSri Lanka 1960 1967 DOASL-<strong>IRRI</strong> 1967-69 (Phase I) Ford Foundation J. Moomaw, rice specialistCooperative Project 1969-71 (Phase II) W. Golden, rice specialist1976-82 USAID J. Wimberly, rice process<strong>in</strong>g eng<strong>in</strong>eerR.C. Khatter, associate eng<strong>in</strong>eerJ. Wimberly, <strong>IRRI</strong> representativeM. Davis, crop production specialist/teamleaderR. Freed, associate plant breederR. T<strong>in</strong>sley, associate agronomistDOASL-<strong>IRRI</strong> Rice 1989-95 SAREC None<strong>Research</strong> and Tra<strong>in</strong><strong>in</strong>gProjectThailand 1960 1991 Deepwater <strong>Research</strong> 1974 to date <strong>IRRI</strong>, MOAC (Govt. B.R. Jackson, plant breeder and liaisonand Tra<strong>in</strong><strong>in</strong>g Project of Thailand) scientist, 1966-82D. Hille Ris Lambers, plant breeder 1975-81Small Farm Mach<strong>in</strong>ery 1976-85 USAID D. Puckridge, agronomist and liaison scientist,Project 1981-96D. Senadhira, plant breeder and liaisonscientist, 1996-June 1998J.A. Lapitan, <strong>in</strong>terim liaison scientist,July-Dec. 1998S. Sarkarung, plant breeder, 1998-to dateB. Somrith, liaison scientist, 1999-to dateVietnam 1964 1984 Strengthen<strong>in</strong>g CLRRI’s 1992-95 UNDP A. Mandac (project coord<strong>in</strong>ator based <strong>in</strong> Losresearch and tra<strong>in</strong><strong>in</strong>g Bañoscapacity<strong>Research</strong> and non- 1988-95 AusAid Nonedegree tra<strong>in</strong><strong>in</strong>g D. Puckridge, part-time liaison scientist,1996-97G.L. Denn<strong>in</strong>g, de facto liaison scientist (fromLos Baños) 1997-98M.A. Bell, de facto liaison scientist (from LosBaños) to date7


Table 4. Factors used <strong>in</strong> previous MTP <strong>for</strong> determ<strong>in</strong><strong>in</strong>g <strong>in</strong>volvement and <strong>IRRI</strong>priorities.MTP criteria Indicator IPMO criteria <strong>for</strong>group<strong>in</strong>g countriesFuture rice demand Per capita consumption Rice areaAlleviat<strong>in</strong>g poverty and Calorie deprivation Level of NARSfood <strong>in</strong>securitySusta<strong>in</strong>ability Rice area under unfavorable History of collaborationecosystems (unsusta<strong>in</strong>ability) and distanceArea under rice-riceAlternative suppliers Agricultural researchof research expenditureModifiersGender equityLikelihood of spilloverSusta<strong>in</strong><strong>in</strong>g high yields andNARS contribution toshift<strong>in</strong>g the yield frontier <strong>IRRI</strong>’s global agendaNeed <strong>for</strong> criticalm<strong>in</strong>imum ef<strong>for</strong>tTable 5. Suggested <strong>in</strong>vestment percentages developed <strong>for</strong> <strong>IRRI</strong>’s 2000 MTP based on criteria listed <strong>in</strong> Table 4.(Numbers represent standardized numbers from a total of 1,000.)AEZ1 AEZ2 AEZ3 AEZ5 AEZ6 AEZ7 AEZ8<strong>Country</strong> Warm and Warm Warm Warm arid Warm subhumid Warm/cool Coolsemiarid subhumid humid and semiarid subtropics humid subtropics Total Percenttropics tropics tropics tropics with with summer subtropics withsummer ra<strong>in</strong>fall ra<strong>in</strong>fall summer ra<strong>in</strong>fallBangladesh 143 143 14Cambodia 8 8 1Ch<strong>in</strong>a 21 60 82 3 166 17India 108 200 1 37 4 350 35Indonesia 63 63 6Japan 0 0 0Korea (N) 3 3 0Korea (S) 2 2 0Lao PDR 4 4 0Madagascar 2 2 2 6 1Malaysia 4 4 0Myanmar 23 23 2Nepal 23 23 2Pakistan 13 13 1Philipp<strong>in</strong>es 14 14 1Sri Lanka 4 4 0Thailand 11 11 1Vietnam 28 28 3Rest of Asia 6 6 1Total 108 234 268 35 125 82 13Percent 11 23 27 4 12 8 1Africa 105 11Lat<strong>in</strong> America 34 38


Notes from Table 5:Def<strong>in</strong>itions and countries with<strong>in</strong> Asia represented by agroecological zones (AEZ).Zone Def<strong>in</strong>ition Countries represented <strong>in</strong> AEZAEZ1 Warm and semiarid tropics IndiaAEZ2 Warm subhumid tropics India, Myanmar, ThailandAEZ3 Warm humid tropics Bangladesh, Cambodia, Indonesia, Lao PDR,Malaysia, Philipp<strong>in</strong>es, Sri Lanka, VietnamAEZ5 Warm arid and semiarid Ch<strong>in</strong>a, India, Pakistantropics with summer ra<strong>in</strong>fallAEZ6 Warm subhumid subtropics India, Ch<strong>in</strong>a, North Korea, South Korea, Nepal,with summer ra<strong>in</strong>fall JapanAEZ7 Warm/cool humid subtropics Ch<strong>in</strong>aAEZ8 Cool subtropics with summer ra<strong>in</strong>fall India, Ch<strong>in</strong>a, rest of AsiaTable 6. Criteria to determ<strong>in</strong>e the type of partnership collaboration with NARES and examples of potential<strong>in</strong>dicators <strong>for</strong> each.Dom<strong>in</strong>ant factors• Poverty• Purchas<strong>in</strong>g power parity, percent poverty, child mortality, calorie deficit, UNDP human development <strong>in</strong>dex• Income/rice reliance—risk of food <strong>in</strong>security (<strong>in</strong>dex of M. Hossa<strong>in</strong>, 1996)• Significance of rice• Area devoted to rice as % of total arable land; total production; rice consumption (total or calorie); percent householddependent on rice; percent labor <strong>for</strong>ce <strong>in</strong> rice; contribution of rice to GDP; percent and value of total rice import;importation per capita; percent and value of total rice export; production per capita; agriculture as a % of GDP; peopleper arable ha; extent of self-sufficiency—what if a disaster?Practical modifiers of <strong>in</strong>volvement• Level of economic development• World Bank rat<strong>in</strong>g of level of economic development• NARES demand and strength (human resources and <strong>in</strong>frastructure <strong>for</strong> research and delivery)• Extent of demands received• Strength of research system• Arable ha per researcher• Presence of developed academic facilities (university, etc.)• Availability of developed or advanced research facilities and laboratories• Availability of advanced farm and laboratory equipment• Presence of tra<strong>in</strong>ed human resources (PhD, MSc, BS)• Strength of delivery system—rate of yield <strong>in</strong>crease (this is really an <strong>in</strong>tegration of a range of factors <strong>in</strong>volv<strong>in</strong>g policy,research outputs, and delivery capacity)• Investment <strong>in</strong> agricultural research• Total agricultural research budget vis-à-vis GNP• Protection of the environment• Importance of national and regional food security• Population—significance of country and self-sufficiency• History of collaboration with <strong>IRRI</strong>• Collaborative opportunities• Potential <strong>for</strong> impact and spillover benefits (socio-political sett<strong>in</strong>g)• <strong>IRRI</strong> comparative advantage and supply capacity• Fund availability (<strong>in</strong>clud<strong>in</strong>g match<strong>in</strong>g donor and host-country <strong>in</strong>terest)• Potential <strong>for</strong> external bilateral fund<strong>in</strong>g support; capacity to provide local fund<strong>in</strong>g support (from government sources)• Distance (cost and communication efficiencies) implications <strong>for</strong> efficiency of <strong>in</strong>put9


Table 7a. <strong>Country</strong> group<strong>in</strong>gs based on significance of rice and extent ofpoverty (as estimated by child mortality).High Korea (S) Indonesia BangladeshMalaysia Philipp<strong>in</strong>es CambodiaSri Lanka Lao PDRThailand MyanmarVietnam NepalSignificance of rice(as percent ofarable land area)Medium Japan Bhutan Ch<strong>in</strong>aIndiaMadagascarKorea (N)Low USA Brazil PakistanAustralia PeruFrance IranEgyptL o w Medium HighPoverty• Child mortality per 1,000 births as an <strong>in</strong>dex of poverty: Low = 60.Table 7b. <strong>Country</strong> group<strong>in</strong>gs based on significance of rice and humandevelopment <strong>in</strong>dex.Significance of rice(as percent ofarable land area)High Korea (S) Malaysia Lao PDRThailand NepalPhilipp<strong>in</strong>es BangladeshSri LankaIndonesiaVietnamMyanmarCambodiaMedium Japan Ch<strong>in</strong>a BhutanIndiaMadagascarKorea (N)Low USA Brazil PakistanAustralia PeruFrance IranEgyptPakistanHigh Medium L o wPoverty• UNDP human development <strong>in</strong>dex as an <strong>in</strong>dex <strong>for</strong> poverty: Low = >0.8, Medium = 0.5–0.8, High =


Table 8. Summary table of countries based on different <strong>in</strong>dicators.Focus (see explanations below) Modifiers(such as socio-political<strong>Country</strong> Poverty Significance Agriculture Institutional Food Susta<strong>in</strong>ability f Income/ Potential system, NARESalleviation a of rice b as of % capacity security e rice <strong>for</strong> demand)of GDP c needs d reliance g impact?1 2 1 2Bangladesh H H H M M M H M H M-HBhutan M M H H H H MCambodia H H H H H H L L M HCh<strong>in</strong>a M M M M L L L M H HIndia H M M M M M L L H M-HIndonesia M H H M M L L M H M-HKorea (N) H M L H M H H M L System challengesLao PDR H H H H H M M L M M-HMyanmar H H H H H M L L M L System challengesNepal H H M H L H L L H MPakistan H L L M L M L L H L-M System challengesPhilipp<strong>in</strong>es M H M M L M H M H M-HSri Lanka L-M H M M M M L H H MThailand M H M L M H L L M M-HVietnam M H H M L L L M H HLat<strong>in</strong> America andCaribbeanIran M L L M L L H L MAfrica MMadagascar H M M H H H L L MHigh <strong>in</strong>come,self-reliantKorea (S) L H M L L L L H L L System advanced, yields highJapan L M L L L M L H L L System advanced, yields highMalaysia L H M L L H H H L L-MDef<strong>in</strong>itions <strong>for</strong> Table 8.a Child mortality per 1,000 births as an <strong>in</strong>dex of poverty: L = 60.b Significance of rice.• 1 = rice as a percent of arable land: L = 50%• 2 = consumption <strong>in</strong> kg per capita: L = 200c Agriculture as a percent of GDP: L = 30%d Institutional capacity needs: 1 = ha per researcher as an <strong>in</strong>dex: L = 20,000; 2 = delivery capacity: based on rate of yield ga<strong>in</strong> 1961-98 (kg ha–1y –1 ): L = 54 (54 = world average).e Food security—rice importation (kg) per capita as an <strong>in</strong>dex: L = 20.fSusta<strong>in</strong>ability—people per arable ha as an <strong>in</strong>dex: L = 20.g Income/rice reliance (from Hossa<strong>in</strong> 1996). L = high <strong>in</strong>come, self-reliant, M = excess rice production capacity, H = risk of food <strong>in</strong>security.11


change the def<strong>in</strong>ition of <strong>IRRI</strong>’s partners fromNARS to NARES (to <strong>in</strong>clude governmentextension, NGOs, and the private sector) torecognize the importance of both research anddelivery capacities <strong>in</strong> enhanc<strong>in</strong>g the livelihoods ofpeople.Social, resource, and economiccharacteristicsPopulation, economics, and rice statistics helptarget potential countries <strong>for</strong> collaboration. Forexample, although the People’s Republic ofCh<strong>in</strong>a has the largest total population (Fig. 1),Bangladesh has the highest population density(Fig. 2). In contrast, Egypt places the highestpressure on its natural resources <strong>in</strong> terms ofpopulation per arable ha (Fig. 3). Highlight<strong>in</strong>g theimportance of water <strong>in</strong> rice production, Lao PDRhas the greatest <strong>in</strong>ternal per capita renewableresources (Fig. 4), while the United States hasthe highest per capita use (Fig. 5). For rurallabor, Nepal has the highest rural population (%)(Fig. 6), whereas Bhutan has the highest numberof agricultural workers per arable ha (Fig. 7).Cambodia has the lowest average <strong>in</strong>come asestimated by purchas<strong>in</strong>g power parity (Fig. 8),whereas Myanmar relies the most on agriculture<strong>in</strong> terms of its contribution to gross domesticproduct (Fig. 9). (Estimates of poverty acrosscountries are very <strong>in</strong>complete and so are notpresented.)Significance of riceIn terms of the national significance of rice,Vietnam has the highest use, plant<strong>in</strong>g more than100% of its arable land to rice because ofmultiple cropp<strong>in</strong>g, whereas Myanmar has thehighest per capita consumption (Fig. 10). However,as a percent of the world’s rice area, Indiaand Ch<strong>in</strong>a dom<strong>in</strong>ate, comb<strong>in</strong><strong>in</strong>g <strong>for</strong> almost half ofthe world’s rice area (Fig. 11) with Ch<strong>in</strong>adom<strong>in</strong>at<strong>in</strong>g total production (Fig. 12).When we look at rice yields, Australia hasthe highest national average (Fig. 13); however,national yields strongly depend on the extent ofirrigated rice (Fig. 14). When we look at historicyield trends (Fig. 15), Ch<strong>in</strong>a has had the highestrate of yield ga<strong>in</strong> (regression analysis from 1961to 1998, Fig. 16). Figure 16 represents an<strong>in</strong>tegration of factors contribut<strong>in</strong>g to yield ga<strong>in</strong>s,<strong>in</strong>clud<strong>in</strong>g research and delivery capacities, policyenvironments, and rice ecosystem potential. Interms of production versus national consumption,the relationship is essentially l<strong>in</strong>ear (Fig. 17),highlight<strong>in</strong>g the importance of national andregional food security, with export<strong>in</strong>g countriessuch as Vietnam and Thailand provid<strong>in</strong>g animportant buffer <strong>for</strong> regional food supplies. Thelead<strong>in</strong>g export-earn<strong>in</strong>g countries <strong>in</strong> 1998 wereThailand, India, Vietnam, USA, Ch<strong>in</strong>a, andPakistan.F<strong>in</strong>ally, plott<strong>in</strong>g the significance of riceaga<strong>in</strong>st an estimate of economic development(Fig. 18) helps group countries <strong>in</strong> terms of thedom<strong>in</strong>ant factors that <strong>in</strong>fluence <strong>in</strong>volvement.Potential <strong>in</strong>volvement across rice-grow<strong>in</strong>gcountries can be based on several criteria.The dom<strong>in</strong>ant factors rema<strong>in</strong> the significanceof rice and the extent of poverty.Table 8 shows how the countries rate <strong>in</strong>terms of several of the criteria (<strong>in</strong>clud<strong>in</strong>g group<strong>in</strong>gsbased on the def<strong>in</strong>ition of Hossa<strong>in</strong> (1996)).Modes of collaboration<strong>IRRI</strong>’s roles can be broadly def<strong>in</strong>ed as those of• Provider (e.g., science, technology, expertise,<strong>in</strong><strong>for</strong>mation, germplasm, prototypes, andtra<strong>in</strong><strong>in</strong>g),• Facilitator (e.g., a catalyst <strong>for</strong> action or <strong>for</strong>br<strong>in</strong>g<strong>in</strong>g groups together), and/or• Collaborator.Collaboration can take on various <strong>for</strong>ms,such as• Upstream research (e.g., genomics, biotechnology),• Strategic research (e.g., weed ecologystudies), or• Applied research <strong>in</strong>clud<strong>in</strong>g technologydevelopment, evaluation, adaptation, anddelivery (e.g., field-level technology development).12


1,400Population (millions)1,2001,0008006004002000Ch<strong>in</strong>aIndiaUSAIndonesiaBrazilPakistanJapanBangladeshVietnamPhilipp<strong>in</strong>esIranEgyptThailandKorea (S)MyanmarColombia<strong>Country</strong>Fig. 1. Total population (millions) of various rice-grow<strong>in</strong>g countries.TanzaniaKenyaPeruKorea (N)NepalMalaysiaUgandaSri LankaAustraliaMozambiqueMadagascarCambodiaLao PDRBhutan10Population density (people ha –1 )9876543210BangladeshKorea (S)JapanIndiaSri LankaPhilipp<strong>in</strong>esVietnamKorea (N)PakistanNepalCh<strong>in</strong>aThailandIndonesiaUgandaMalaysiaMyanmar<strong>Country</strong>EgyptCambodiaKenyaIranColombiaTanzaniaUSAMadagascarLao PDRMozambiquePeruBrazilBhutanAustraliaFig. 2. Population density (total population per total land area, <strong>in</strong> ha) of various rice-grow<strong>in</strong>g countries.13


35Persons arable ha –1302520151050EgyptJapanKorea (S)MalaysiaSri LankaVietnamKorea (N)Ch<strong>in</strong>aPhilipp<strong>in</strong>esBangladeshTanzaniaIndonesiaNepalColombiaBhutanLao PDR<strong>Country</strong>Fig. 3. Productivity demand (persons arable ha –1 ) <strong>for</strong> various rice-grow<strong>in</strong>g countries.KenyaPeruMadagascarPakistanIndiaMozambiqueCambodiaMyanmarUgandaIranBrazilThailandUSAAustralia60,000Cubic meters50,00040,00030,00020,00010,0000Lao PDRBhutan14BrazilColombiaMyanmarMalaysiaMadagascarAustraliaIndonesiaBangladeshUSACambodiaNepalMozambiqueVietnamPhilipp<strong>in</strong>es<strong>Country</strong>Fig. 4. Annual per capita <strong>in</strong>ternal renewable water resources (1998, cubic meters).JapanKorea (N)TanzaniaSri LankaCh<strong>in</strong>aIndiaThailandUgandaIranPakistanPeruKorea (S)KenyaEgypt


2,000Cubic meters1,8001,6001,4001,2001,0008006004002000USAMadagascarPakistanIranAustraliaEgyptMalaysiaJapanKorea (N)Philipp<strong>in</strong>esKorea (S)IndiaThailandSri LankaCh<strong>in</strong>aVietnam<strong>Country</strong>Fig. 5. Annual per capita withdrawal (cubic meters).PeruLao PDRBrazilBangladeshColombiaNepalMyanmarIndonesiaKenyaCambodiaMozambiqueTanzaniaUgandaBhutan100Rural population (%)9080706050403020100NepalUgandaBhutanBangladeshThailandCambodiaLao PDRSri LankaVietnamTanzaniaMyanmarIndiaMadagascarKenyaCh<strong>in</strong>aPakistan<strong>Country</strong>Fig. 6. Rural population (as % of total population) <strong>for</strong> various rice-grow<strong>in</strong>g countries.IndonesiaMozambiqueEgyptMalaysiaPhilipp<strong>in</strong>esIranKorea (N)PeruColombiaUSAJapanBrazilKorea (S)Australia15


10Rural labor arable ha –18642035,000BhutanCh<strong>in</strong>aUS$TanzaniaVietnamNepalEgyptSri LankaBangladeshKenyaLao PDRIndonesiaMozambiqueMadagascarKorea (N)Philipp<strong>in</strong>esMalaysia<strong>Country</strong>MyanmarCambodiaUgandaIndiaKorea (S)PakistanThailandColombiaJapanPeruIranBrazilUSAAustraliaFig. 7. Rural labor abundance (rural workers arable ha –1 ) <strong>for</strong> various rice-grow<strong>in</strong>g countries.30,00025,00020,00015,00010,0005,0000CambodiaMadagascar16TanzaniaMozambiqueBhutanKorea (N)UgandaNepalMyanmarLao PDRBangladeshKenyaIndiaVietnamPakistanSri Lanka<strong>Country</strong>Fig. 8. Purchas<strong>in</strong>g power parity <strong>for</strong> various rice-grow<strong>in</strong>g countries.IndonesiaEgyptPhilipp<strong>in</strong>esCh<strong>in</strong>aPeruIranThailandBrazilColombiaMalaysiaKorea (S)AustraliaJapanUSA


30Percentage of world rice area2520151050600IndiaCh<strong>in</strong>aProduction (million t)IndonesiaBangladeshThailandVietnamMyanmarBrazilPhilipp<strong>in</strong>esPakistanCambodiaJapanNepalMadagascarUSAKorea (S)<strong>Country</strong>Fig. 11. Percentage of world rice area <strong>for</strong> various rice-grow<strong>in</strong>g countries.Sri LankaKorea (N)MalaysiaIranLao PDRTanzaniaEgyptColombiaMozambiquePeruAustraliaUgandaBhutanKenya5004003002001000WorldAsia18Ch<strong>in</strong>aIndiaIndonesiaVietnamBangladeshThailandMyanmarJapanPhilipp<strong>in</strong>esUSABrazilPakistanKorea (S)<strong>Country</strong> or regionFig. 12. Total rice production (1998).EgyptNepalCambodiaIranSri LankaMadagascarKorea (N)MalaysiaColombiaLao PDRPeruAustraliaTanzaniaMozambiqueUgandaKenyaBhutan


Yield (t ha –1 )121086420AustraliaEgyptKorea (S)USAJapanCh<strong>in</strong>aPeruIranColombiaIndonesiaVietnamAsiaWorldKorea (N)Sri LankaMyanmarMalaysiaIndia<strong>Country</strong> or regionFig. 13. National average rice yields (1998, t ha –1 ) <strong>for</strong> various rice-grow<strong>in</strong>g countries.PakistanKenyaBangladeshLao PDRPhilipp<strong>in</strong>esBrazilNepalThailandMadagascarCambodiaBhutanTanzaniaUgandaMozambiqueAverage national yield (t ha–1), 19981210Australiag y ( ) ( )8642KenyaBrazilLao PDRThailandMadagascarTanzaniaUganda CambodiaMozambiqueBangaldesh`VietnamIndiaKorea (S)PeruIndonesiaColombiaWorld Asia Korea (N)MyanmarSri LankaMalaysiaNepal Philipp<strong>in</strong>esBhutanCh<strong>in</strong>aEgyptUSAJapanIranPakistan00 20 40 60 80 100 120Percent rice area irrigatedFig. 14. Average national yields (t ha –1 ) <strong>in</strong> 1998 versus percent rice area irrigated.19


Yield (t ha –1 )765432101960 1965 1970 1975 1980 1985 1990 1995 2000YearWorldAsiaBangladeshBhutanCambodiaCh<strong>in</strong>aIndiaIndonesiaIranKorea (N)Korea (S)Lao PDRMalaysiaMyanmarNepalPakistanPhilipp<strong>in</strong>esSri LankaThailandVietnamFig. 15. Rice yields versus time <strong>for</strong> selected rice-grow<strong>in</strong>g countries.Rate of yield ga<strong>in</strong> (kg ha –1 y –1 )2000806040200–-20–-40Ch<strong>in</strong>aAustraliaEgyptIndonesiaColombiaKorea (S)USAAsiaVietnamWorldIranLao PDRMyanmarPeruPhilipp<strong>in</strong>esSri LankaIndia<strong>Country</strong> or regionFig. 16. Average rate of yield ga<strong>in</strong> (kg ha –1 y –1 ) from 1968 to 1998.PakistanBangladeshMalaysiaBrazilJapanTanzaniaNepalThailandCambodiaUgandaMadagascarKenyaBhutanMozambiqueKorea (N)Korea (N)20


Consumption (kg capita –1 y –1 )350Myanmar300Lao PDR250BangladeshCambodia VietnamIndonesia2001:1 l<strong>in</strong>eKorea (S)150Philipp<strong>in</strong>esThailandCh<strong>in</strong>aMalaysiaMadagascarIndiaNepal100JapanKorea (N)Sri LankaBrazilEgypt50 Iran PeruColombiaPakistanUganda TanzaniaKenyaUSA Australia0Mozambique0 50 100 150 200 250 300 350 400Production (kg capita –1 y –1 )Fig. 17. Production versus consumption <strong>for</strong> various rice-grow<strong>in</strong>g countries.140Significance of rice (rice as % of arable area)120100VietnamBangladeshSri LankaLao PDR80CambodiaMyanmar/MalaysiaNepal Philipp<strong>in</strong>es60Korea (S)IndonesiaThailandMadagascar40 Korea (N)JapanBhutanCh<strong>in</strong>aIndiaEgypt20 TanzaniaColombiaPakistan BrazilMozambique Peru IranAustraliaUSA0Uganda/Kenya0 5,000 10,000 15,000 20,000 25,000 30,000 35,000Purchas<strong>in</strong>g power parity (US$)Fig. 18. Significance of rice (as percent of arable land) versus purchas<strong>in</strong>g power parity <strong>for</strong> various rice-grow<strong>in</strong>g countries.21


Activities can <strong>in</strong>volve• Exchanges of• Germplasm• Prototypes• In<strong>for</strong>mation/knowledge• Delivery enhancement—<strong>in</strong>clud<strong>in</strong>g technologydelivery (research use) and decisionsupport systems and tools (DSS and DST)• Policy• Capacity (and <strong>in</strong>frastructure) build<strong>in</strong>g• Visits or consultanciesThe products of collaboration thus <strong>in</strong>cludemethodologies, policy, technology, DSS, DST,<strong>in</strong><strong>for</strong>mation, germplasm, prototypes, awareness,image, priority sett<strong>in</strong>g, needs assessment,opportunity analysis, <strong>in</strong>stitutional strengthen<strong>in</strong>g,and impact assessment.Although these <strong>for</strong>ms of collaboration arenot discrete, they give an idea of the range ofactivities that can be undertaken.When countries are grouped based onestimates of NARES research and deliverycapacity (e.g., Table 9), we can comb<strong>in</strong>e thiswith <strong>in</strong><strong>for</strong>mation from the figures to identify themost probable <strong>for</strong>ms of collaboration (e.g., Table10). (Note: In such an exercise, national averagesare used. It is important to note, however,that with<strong>in</strong>-country variation can be great, suchas eastern India versus northern India, and NorthVietnam versus South Vietnam.)Appropriate research <strong>in</strong>volvement <strong>for</strong> <strong>IRRI</strong> <strong>in</strong> acountry depends on the needs and level ofdevelopment of the country and this can beupstream, strategic, or applied and can takethe <strong>for</strong>m of provider, facilitator, or collaborator.Criteria <strong>for</strong> <strong>IRRI</strong> office <strong>in</strong> countryOnce collaboration is established, physicalpresence may become desirable. The level ofeconomic development of the country will largelydeterm<strong>in</strong>e this decision:a. For high- and upper-middle-<strong>in</strong>come countries,an office would be established <strong>in</strong> thecountry if provided by the host country tofacilitate <strong>in</strong>teractions and knowledge flow.This arrangement is at times an <strong>in</strong>directopportunity <strong>for</strong> the host country to contributeto <strong>in</strong>ternational development by enhanc<strong>in</strong>gknowledge and technology flow through the<strong>in</strong>ternational agricultural research center(IARC), which acts as an <strong>in</strong><strong>for</strong>mation ortechnology hub.b. For countries with lower levels of economicdevelopment, the establishment of an officewill depend on the extent and <strong>for</strong>m of <strong>IRRI</strong>activities <strong>in</strong> the country, host-country demand,and availability of funds.Table 9. <strong>Research</strong> and delivery capacities as determ<strong>in</strong>ed by the number ofarable ha per researcher and the rates of yield <strong>in</strong>creases (1961-98).National researchcapacity (based onha per researcher)High Malaysia Japan AustraliaPakistan USAPhilipp<strong>in</strong>es Ch<strong>in</strong>aIranKorea (S)VietnamMedium Korea (N) Bangladesh IndonesiaNepalIndiaThailand Sri LankaLow Bhutan Lao PDRCambodia MyanmarL o w Medium HighNational delivery capacity(based on rates of yield <strong>in</strong>crease)Note: national research capacity based on ha per researcher as an <strong>in</strong>dex: High = 20,000; national delivery capacity (based on the rate of yield <strong>in</strong>crease,1961-98): Low = 50 kg ha –1 y –1 .22


Table 10. <strong>Country</strong> group<strong>in</strong>gs and likely <strong>for</strong>ms of <strong>in</strong>teraction.Economy a Capacity Countries OpportunitiesI. Countries with advanced production systems and well-developed economies, rice may or may not be significant, self-sufficiency not a major economicissue (but may be a major cultural issue)High <strong>Research</strong> and Australia, France, Japan, USA • <strong>IRRI</strong>’s role is primarily that of facilitator and collaboratordelivery very high • Strategic and upstream research collaboration• <strong>IRRI</strong> may act on behalf of the country as a facilitator. In these cases,Upper middle <strong>Research</strong> and Brazil, Malaysia, Korea (S) countries use <strong>IRRI</strong>’s networks and l<strong>in</strong>kages to conduct activities <strong>in</strong>delivery very high other (less developed) countries• Learn<strong>in</strong>g curve experiences• These countries are providers <strong>in</strong> their own right, be<strong>in</strong>g sources oftechnology, knowledge, and fundsII. Countries with low- to lower-middle-<strong>in</strong>come economies, research and delivery capacities generally high, poverty—significant levels, rice—self-sufficient(or almost), rice highly significant, population pressures medium to high, food security a major issueLower middle <strong>Research</strong> generally high, Philipp<strong>in</strong>es, Sri Lanka, Thailand • Mixed research opportunities. <strong>IRRI</strong>’s role is a mix of facilitator,delivery variable collaborator, and provider (the latter be<strong>in</strong>g especially <strong>in</strong> relation toadvanced tra<strong>in</strong><strong>in</strong>g needs)Low <strong>Research</strong> generally high, Ch<strong>in</strong>a, Indonesia, Vietnam • Major emphasis is on develop<strong>in</strong>g strategic and applied researchdelivery generally high capacities with special focus on susta<strong>in</strong>ability research to ensurefood security <strong>in</strong> adjust<strong>in</strong>g to shifts <strong>in</strong> land, labor, and water shortages• Major mode of strengthen<strong>in</strong>g is research collaboration throughresearch consortia and bilateral NARES-<strong>IRRI</strong> programs• Capacity build<strong>in</strong>g emphasis is more on strategic and applied research• Opportunities <strong>for</strong> research <strong>in</strong>to areas with spillover to other countriesmay justify <strong>in</strong>volvement, where an <strong>in</strong>-country analysis per se may not• Variable emphasis on activities related to evaluation, adaptation, anddelivery of research products as they can at times be adequately metby the NARES’ own capacity• <strong>Research</strong> consortium memberIII. Countries with low-<strong>in</strong>come economies, research capacity reasonable, delivery capacity low to moderate, poverty—significant levels, rice—self-sufficient(or almost), rice highly significant, population pressures medium to high, food security a major issueLow <strong>Research</strong> moderate to Bangladesh, India, Nepal, Pakistan • <strong>IRRI</strong>’s role is a mix of facilitator, collaborator, and providerhigh, delivery low • Requires a balance of activities to support strategic and appliedto moderate research and the evaluation, adaptation, and delivery of researchproducts• Susta<strong>in</strong>ability research adjust<strong>in</strong>g to shifts <strong>in</strong> land, labor, and watershortages• Capacity build<strong>in</strong>g23


Table 10 (cont<strong>in</strong>ued).Economy a Capacity Countries OpportunitiesIV. Countries with low-<strong>in</strong>come economies, research and delivery capacities need major strengthen<strong>in</strong>g, poverty—significant levels, rice—self-sufficient (oralmost), rice highly significant, population pressures medium to high, food security a major issueLow <strong>Research</strong> relatively low Bhutan, Cambodia, Lao PDR, • <strong>IRRI</strong>’s dom<strong>in</strong>ant role here is that of provider—often with staff basedMyanmar, Korea (N), Madagascar <strong>in</strong> the country. As NARES’ capacities grow, the roles <strong>in</strong> facilitationand collaboration develop• Need significant capacity build<strong>in</strong>g and applied research collaboration• Greater emphasis is placed on evaluation, adaptation, and delivery ofresearch products through <strong>in</strong>jection of large bilateral donor supportfacilitated through <strong>IRRI</strong>• As they improve their capacities, they become members of researchconsortiaV. Countries with low to lower-middle-<strong>in</strong>come economies, small rice-produc<strong>in</strong>g countries request<strong>in</strong>g assistanceLower-middle <strong>Research</strong> moderately Colombia, Costa Rica, Cuba, Iran, • <strong>IRRI</strong>’s dom<strong>in</strong>ant role here is typically that of (long-distance) provider,high, delivery variable Egypt, Mexico, Peru with m<strong>in</strong>imal role <strong>in</strong> facilitation and collaboration.• Some strategic learn<strong>in</strong>g curve opportunitiesLow <strong>Research</strong> moderately Nicaragua • For stronger NARES, <strong>IRRI</strong> Los Baños provides limited supporthigh, delivery variable through advanced degree programs and focused upstream tra<strong>in</strong><strong>in</strong>g• For relatively weak NARES, <strong>IRRI</strong> Los Baños provides limited supportLow <strong>Research</strong> low, Kenya, Malawi, Mozambique, to NARES <strong>for</strong> degree programs and focused tra<strong>in</strong><strong>in</strong>gdelivery low Tanzania, Uganda • Germplasm and <strong>in</strong><strong>for</strong>mation exchange• Sponsored consultancies• Be<strong>in</strong>g generally distant from <strong>IRRI</strong> Los Baños, a low-cost approach isused <strong>for</strong> meet<strong>in</strong>g their needs, mostly by participat<strong>in</strong>g <strong>in</strong> technologyevaluation networks or regional programs or networks• M<strong>in</strong>imal personnel support from <strong>IRRI</strong> Los Bañosa World Bank economic classification: low-<strong>in</strong>come economies = US$9,361.24


We are <strong>in</strong>creas<strong>in</strong>gly see<strong>in</strong>g that, as nationaleconomies develop, countries are contribut<strong>in</strong>g tothe upkeep of an <strong>IRRI</strong> presence through directcontributions to <strong>IRRI</strong> or <strong>IRRI</strong>-related activities.<strong>IRRI</strong>’s physical presence <strong>in</strong> a countrydepends on the extent and <strong>for</strong>m of <strong>IRRI</strong>activities <strong>in</strong> the country, host-country demand,and availability of funds.Criteria <strong>for</strong> differentiat<strong>in</strong>g <strong>in</strong>volvementWhen all the dom<strong>in</strong>ant and modify<strong>in</strong>g factors arecomb<strong>in</strong>ed, five generic <strong>for</strong>ms of <strong>in</strong>teractionemerge based on the level of economic development,strength of the national research anddelivery system, extent of poverty, level ofproduction systems, and importance of selfsufficiencyand food security (Table 10).<strong>IRRI</strong>’s <strong>in</strong>volvement <strong>in</strong> a country can fall <strong>in</strong>toone of five generic <strong>for</strong>ms depend<strong>in</strong>g on thelevel of economic development, strength ofthe national research and delivery system,extent of poverty, and the significance of rice.Criteria <strong>for</strong> evaluat<strong>in</strong>g RD&D focusWhen consider<strong>in</strong>g the actual content of theresearch, delivery, and development activities,the follow<strong>in</strong>g factors are considered:• Target group• Needs and problems• Opportunity• Probability of success• Probable impact if successful—significanceof problem• Spillover effects (flow to other regions andcountries)• Alternative suppliers of RD&D• Comparative advantage• Other factors, such as public/donor perceptions/values,socio-political sett<strong>in</strong>gAnother issue is to highlight the appropriaterole that <strong>IRRI</strong> needs to play <strong>in</strong> terms of deliveryand development. There is a cont<strong>in</strong>u<strong>in</strong>g debateas to the role that <strong>in</strong>ternational centers such as<strong>IRRI</strong> should play <strong>in</strong> terms of developmentactivities. <strong>IRRI</strong> is very clear on this.1. <strong>IRRI</strong>’s primary focus is research, but aresearch cycle should <strong>in</strong>clude successfulapplication of the science and feedback fromend-users, and should not f<strong>in</strong>ish be<strong>for</strong>e this.2. In collaboration with NARES partners, <strong>IRRI</strong>seeks to validate and evaluate technologywith the ultimate beneficiaries.3. <strong>IRRI</strong> does not move to fill developmentvoids, but rather seeks to work with developmentorganizations to test technologies anddevelop delivery methodologies that allow <strong>for</strong>the effective communication of options to awider group of beneficiaries.Thus, the rationale <strong>for</strong> <strong>IRRI</strong> <strong>in</strong>volvement <strong>in</strong>delivery at the field level is that• there is NARES commitment (to ensuresusta<strong>in</strong>ability of ef<strong>for</strong>t),• public goods such as knowledge or pr<strong>in</strong>ciplesthat can be applied elsewhere are generated,• NARES human resources <strong>for</strong> susta<strong>in</strong>abilityand impact are developed, and• ef<strong>for</strong>ts feed <strong>in</strong>to the development ef<strong>for</strong>ts ofother partners.To highlight this approach, <strong>IRRI</strong> RD&Dembraces “research <strong>for</strong> development” that keepsthe <strong>in</strong>stitutional focus on research while recogniz<strong>in</strong>gthe need <strong>for</strong> the research to be used.<strong>IRRI</strong>’s role there<strong>for</strong>e <strong>in</strong>cludes facilitat<strong>in</strong>g,understand<strong>in</strong>g, and document<strong>in</strong>g delivery.<strong>IRRI</strong>’s actual <strong>in</strong>volvement <strong>in</strong> a country willdepend on a range of factors such as need,opportunity, potential <strong>for</strong> success and impact,spillover effects, and comparativeadvantage. The need <strong>for</strong> use of researchmeans that <strong>IRRI</strong> works with but doesnot replace development partners.Target and means of deliveryIn consider<strong>in</strong>g <strong>IRRI</strong>’s desire to <strong>in</strong>crease impact,we need to consider what are the productsproduced, who are the target groups, and what25


are the means of delivery to these groups (Table11). Because of the range of products, impactwill take on different <strong>for</strong>ms (Table 12).The research cycle can be def<strong>in</strong>ed to <strong>in</strong>cludeproblem identification, participatory research,delivery, and evaluation (<strong>in</strong>clud<strong>in</strong>g monitor<strong>in</strong>g,feedback, and impact assessment). <strong>Research</strong>requires relevance—it must meet the needs ofthe target group and be not only beneficial butalso perceived to be beneficial. Thus, farmers’perceptions and <strong>in</strong>centives need to be <strong>in</strong>tegralparts of a research agenda. To avoid discipl<strong>in</strong>aryresearch <strong>in</strong> isolation and to ensure researchrelevance and efficiency, the “content-processlocalknowledge” framework provides a robustmodel:• Content refers to the researcher and knowledgeand understand<strong>in</strong>g of the technology• Process refers to the delivery of the knowledge—packag<strong>in</strong>gand presentation• Local knowledge refers to the <strong>in</strong>clusion <strong>in</strong>the process of local <strong>in</strong>put to ensure relevanceand feedback to ensure that needsare matched with opportunities that considerlocal circumstances, contacts, and suitabilityof technology fit.Table 11. Summary of <strong>IRRI</strong> products, target groups, and means of delivery.Products Means of delivery TargetsGermplasm Networks DonorsTechnology Scientist to scientist MediaKnowledge Consortia General public• Policy Tra<strong>in</strong><strong>in</strong>g NARES• Decision support • Short course • <strong>Research</strong>systems or tools • On-the-job • ExtensionMethodologies • Degree • NGOs• <strong>Research</strong> techniques Postgraduate Private• Priority sett<strong>in</strong>g Media Advanced research <strong>in</strong>stitutes• Needs assessment Publications Farmers• Opportunity analysis Web Farmers’ groupsImpact assessmentPrototypesAwareness/imageIn<strong>for</strong>mationInstitutional strengthen<strong>in</strong>gTable 12. Forms of impact from ef<strong>for</strong>ts of an <strong>in</strong>ternationalorganization.<strong>Research</strong>PolicyExtension systemFarmersIntroduce new paradigms <strong>in</strong> research approachAdopt new research and analytical methodsUse generic materials <strong>in</strong> breed<strong>in</strong>g of new cultivarsChange policyEstablish new regulationsDevelop systems to facilitate adoptionUse products and knowledge <strong>in</strong> extensionAdopt new <strong>in</strong><strong>for</strong>mation delivery approachesPractice changeIncrease productivityReduce health risks26


The figure below highlights the need <strong>for</strong><strong>in</strong>teraction, but also <strong>in</strong>dicates that there should beopportunities <strong>for</strong> <strong>in</strong>dependent action.ProcessDeliveryContentKnowledgeRelevanceLocalknowledgeWhen applied, based on Table 13, this simplemodel clearly demonstrates to collaboratorswith<strong>in</strong> a system what their roles are and howthey can function together to <strong>in</strong>crease theefficiency of their research and delivery system.It helps clearly identify which areas needcollaboration, which areas are lack<strong>in</strong>g, and whichareas can be pursued <strong>in</strong>dependently. It recognizesthat people are the key to success and allhave a role to play <strong>in</strong> successful delivery. Byfocus<strong>in</strong>g on the process, discussion concentrateson meet<strong>in</strong>g needs. This methodology has beentested <strong>in</strong> various scenarios and repeatedlyprovides a simple and successful comprehensiblemodel. This simple <strong>for</strong>mat ensures that1. True opportunities are recognized,2. Real needs versus <strong>in</strong>terests are pursued, and3. All steps <strong>in</strong> the delivery process are considered.Although the model provides the framework,other partnership factors need to be considered<strong>in</strong> successful delivery. In study<strong>in</strong>g variousprojects, several issues have emerged as critical<strong>in</strong> select<strong>in</strong>g partners, <strong>in</strong>clud<strong>in</strong>g1. Project driver: Someone from one of theorganizations must assume a leadership role<strong>in</strong> the project. This person (or persons)should coord<strong>in</strong>ate project activities and holdultimate responsibility <strong>for</strong> hav<strong>in</strong>g eachpartner per<strong>for</strong>m his or her tasks or deliverproject <strong>in</strong>puts on time and at the level ofquality required.2. Work with “w<strong>in</strong>ners”: W<strong>in</strong>ners tend to beself-motivated. These local partners providethe drive to keep the project go<strong>in</strong>g.3. Trust and respect: In the end, projectsdepend on people and their ability to worktogether. Thus, trust and respect are critical.It takes time and shared experiences to buildtrust and establish the confidence that eachpartner has the good of the project and eachother at heart.4. Develop project goals collectively, explicitly,and openly: Common vision and goalsare keys to success. Engage all the collaborat<strong>in</strong>gorganizations <strong>in</strong> the development ofproject goals and guid<strong>in</strong>g pr<strong>in</strong>ciples withproactive ef<strong>for</strong>ts to expla<strong>in</strong> the project topotential critics. Project partners shoulddef<strong>in</strong>e project milestones and set up asystem <strong>for</strong> monitor<strong>in</strong>g project implementationand per<strong>for</strong>mance.5. Capacity build<strong>in</strong>g: Develop skills andconfidence to understand and promote thetechnology <strong>in</strong> appropriate ways.6. Technology: The technology must meet areal perceived need and must be simplifiedwith only the critical components presented.7. Money: Good programs and powerfulpartnerships will fail without the f<strong>in</strong>ancialresources to carry out program activities.Money allows the implementation of goodwill.Table 13. Factors <strong>in</strong>volved <strong>in</strong> ensur<strong>in</strong>g research relevance.Problem Cause(s) Options Content Process Local knowledge Modifiers/specialists/role players/role players/role considerations27


8. No freebees: Participants must contributesome of their own resources <strong>in</strong> some <strong>for</strong>m.9. Institutional stability and commitment:Groups must have f<strong>in</strong>ancial, personnel, and<strong>in</strong>stitutional and organizational stability.Participat<strong>in</strong>g organizations must ensure “buy<strong>in</strong>”at the top, the middle, and the bottom.Individual self-<strong>in</strong>terest or egos can overrideany <strong>in</strong>stitutional commitment to partnerships.10. Transaction costs: Considerable transactioncosts are <strong>in</strong>volved <strong>in</strong> establish<strong>in</strong>g and ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>gcollaborative work<strong>in</strong>g relationships.11. Private- and public-sector perspectives:Expect differences <strong>in</strong> the organizationalcultures of partners from different sectors.These differences can cause difficulties andthey need to be considered <strong>in</strong> the design ofthe project and the strategy <strong>for</strong> carry<strong>in</strong>g itout. Work<strong>in</strong>g with the private sector typically<strong>in</strong>troduces a sense of urgency—one of theadvantages of such l<strong>in</strong>kages.12. Change and deal<strong>in</strong>g with fallout: Whenpropos<strong>in</strong>g and carry<strong>in</strong>g out change, it iscommon that the status quo is upset andvested <strong>in</strong>terests may feel threatened.Opposition to change derives from severalmotives, such as opposition to change per se,opposition to or misunderstand<strong>in</strong>g of theproject objectives or approach, or differentagendas (e.g., political or <strong>in</strong>dividual attacks).Recognize, also, that multi-sector partnerships<strong>in</strong>volve organizations with their ownhistories and prejudices may already exist onthe part of some critics. In <strong>for</strong>mulat<strong>in</strong>gproject responses to criticism, it is importantto consider the underly<strong>in</strong>g motivation <strong>for</strong> thecriticism. These considerations highlight theimportance of exam<strong>in</strong><strong>in</strong>g (1) how to br<strong>in</strong>g asmany sectors/organizations on board and (2)how to avoid unfounded or unnecessarycriticism while respond<strong>in</strong>g to genu<strong>in</strong>e concerns<strong>in</strong> develop<strong>in</strong>g partnerships.To achieve impact, <strong>IRRI</strong> has to facilitate thecommunication of viable options to and withthe target group. This necessitates goodproblem and opportunity analysis, clearidentification of the beneficiaries and theirneeds and perceptions, and understand<strong>in</strong>g ofeffective presentation and delivery mechanisms.A three-part framework has beenestablished to facilitate this.BibliographyHossa<strong>in</strong> M. 1996. Recent developments <strong>in</strong> theAsian rice economy: challenges <strong>for</strong> riceresearch. In: Evenson RE, Herdt RW,Hossa<strong>in</strong> M, editors. Rice research priorities<strong>in</strong> Asia: progress and priorities. CAB International<strong>in</strong> association with the InternationalRice <strong>Research</strong> Institute.<strong>IRRI</strong>. 1995. World rice statistics 1993-1994. LosBaños (Philipp<strong>in</strong>es): International Rice<strong>Research</strong> Institute.World Resources. 1998. 1998-99 world resources:a guide to the global environment,environmental change and human health. Ajo<strong>in</strong>t publication of The World ResourcesInstitute, The United Nations EnvironmentProgramme, The United Nations <strong>Development</strong>Programme, and The World Bank.Ox<strong>for</strong>d (UK): Ox<strong>for</strong>d University Press.UNDP (United Nations <strong>Development</strong>Programme). Human development report1999. Ox<strong>for</strong>d (UK): Ox<strong>for</strong>d UniversityPress.Web database sitesWorld Bank database: http://www.worldbank.org/data/countrydata/countrydata.htmlFAO database: http://www.fao.org/The World Factbook (CIA): http://www.odci.gov/cia/publications/factbook/28


Appendix 1. Group<strong>in</strong>gs and modes of collaborationfrom previous medium-term plan.Group characteristicsMode and strategies of collaborationGroup 1• Usually large rice-grow<strong>in</strong>g countries (>2 million ha) • Major emphasis is on the development of strategic and• Well-developed national research <strong>in</strong>stitutions cover<strong>in</strong>g applied research capacitiesthe major rice-grow<strong>in</strong>g regions and ecosystems • Major mode of strengthen<strong>in</strong>g is research collaboration• Scientists tra<strong>in</strong>ed to the Ph.D. level <strong>in</strong> each of the major through research consortia and bilateral NARS-<strong>IRRI</strong>discipl<strong>in</strong>es related to riceprograms• Relatively long history of collaboration (>10 years) • Tra<strong>in</strong><strong>in</strong>g emphasis is more on strategic and applied researchwith <strong>IRRI</strong> <strong>in</strong> strategic research areas • Less emphasis on activities related to evaluation, adaptation,• One or more universities that have graduate programs and delivery of research products as they can be met byto Ph.D. levelNARS’ own capacityExamples: Bangladesh, India, Ch<strong>in</strong>aGroup 2• Usually medium to large rice-grow<strong>in</strong>g countries(>500,000 ha)• Established national research <strong>in</strong>stitutions cover<strong>in</strong>g • Require a balance of activities to support strategic andthe major rice-grow<strong>in</strong>g regions and ecosystemsapplied research and the evaluation, adaptation, and delivery• Scientists tra<strong>in</strong>ed to the M.S. level <strong>in</strong> most major of research productsdiscipl<strong>in</strong>es related to rice• A history of collaboration with <strong>IRRI</strong> (>5 years)<strong>in</strong> applied research areas• One or more universities that have graduateprograms to the M.S. levelExample: VietnamGroup 3• Usually small to medium rice-grow<strong>in</strong>g countries(50,000 to 2 million ha)• National research <strong>in</strong>stitutions newly established • Greater emphasis is placed on evaluation, adaptation, andor not yet established <strong>for</strong> the major rice-grow<strong>in</strong>gdelivery of research products through <strong>in</strong>jection of largeregions and ecosystemsbilateral donor support, which has been facilitated through• Few scientists tra<strong>in</strong>ed to the M.S. level <strong>in</strong> the key <strong>IRRI</strong>discipl<strong>in</strong>es related to rice • As they improve their capacities, they become members of• Little or no history of research collaboration with <strong>IRRI</strong> research consortiaExample: CambodiaGroup 4• Small rice-grow<strong>in</strong>g countries (


Appendix 2. Ten features of a good countryassistancestrategy.(from World Bank: http://www.worldbank.org/html/pic/cas/tenfeat.htm)1. Client focus. A good country-assistance strategy (CAS) is grounded <strong>in</strong> the country’s political, economic, and socialcontext. It starts with a discussion of country conditions and the government’s priorities and development strategy. It<strong>in</strong>cludes an evaluation of the implementation and effectiveness of ongo<strong>in</strong>g re<strong>for</strong>m programs, their implications <strong>for</strong>private-sector development and susta<strong>in</strong>able growth and development, and their social impact. It is carried by strongcountry ownership and broad stakeholder consultation (pursued with prior general agreement of the government), butcandidly acknowledges differences between the Bank and the authorities.2. Strategic selectivity. A good CAS is the central vehicle <strong>for</strong> mak<strong>in</strong>g strategic choices <strong>in</strong> country program design andBank resource allocation, with the objective of maximiz<strong>in</strong>g development impact. This <strong>in</strong>volves (i) assess<strong>in</strong>g the relativemagnitude and likelihood of the impact of alternative Bank group activities on the ground; (ii) tak<strong>in</strong>g <strong>in</strong>to account theBank’s comparative advantage vis-à-vis others, track record, costs, and risks; and (iii) prioritiz<strong>in</strong>g activities across andwith<strong>in</strong> sectors and by <strong>in</strong>struments (product mix) accord<strong>in</strong>gly.3. Poverty focus. A good CAS <strong>in</strong>cludes a high-quality diagnosis of the profile and causes of poverty. It l<strong>in</strong>ks the proposedBank program clearly to the poverty assessment and expla<strong>in</strong>s how key lend<strong>in</strong>g and nonlend<strong>in</strong>g services contribute topoverty reduction.4. Macroeconomic and external framework. A good CAS is based on a strong analysis of macroeconomic per<strong>for</strong>mance,prospects, and risks. It discusses the external environment and implications <strong>for</strong> the country’s development agenda andvulnerability and the Bank program.5. Governance and <strong>in</strong>stitutions. A good CAS diagnoses governance/corruption, <strong>in</strong>stitutional effectiveness, andimplementation capacity issues and, where relevant, addresses them <strong>in</strong> the proposed Bank lend<strong>in</strong>g or nonlend<strong>in</strong>gprogram.6. Self-evaluation and lessons from experience. A good CAS <strong>in</strong>cludes a frank discussion of the track record of Bank<strong>in</strong>volvement, a thorough and candid portfolio analysis, and “lessons learned.” It fully <strong>in</strong>tegrates f<strong>in</strong>d<strong>in</strong>gs from theOperations Evaluation Department (OED), Quality Assurance Group (QAG), and self-evaluation studies.7. Comparative advantage and role of the Bank. A good CAS is based on strong coord<strong>in</strong>ation and collaboration withexternal partners (IMF, multilateral development banks, bilaterals, private sector, NGOs, etc.). It <strong>in</strong>cludes a Bank lend<strong>in</strong>gand nonlend<strong>in</strong>g program and <strong>in</strong>volves a division of labor with others <strong>in</strong> l<strong>in</strong>e with the comparative advantage of the Bankand its partners <strong>in</strong> support<strong>in</strong>g the client country.8. Collaboration with<strong>in</strong> Bank group. A good CAS <strong>in</strong>tegrates an IBRD/IDA strategy <strong>in</strong>to a consistent overall Bank groupstrategy, with<strong>in</strong> which IBRD/IDA, International F<strong>in</strong>ance Corporation (IFC), and Multilateral Investment Guarantee Agency(MIGA) operations complement each other <strong>in</strong> promot<strong>in</strong>g private-sector development.9. Bank program scenarios, triggers, and monitor<strong>in</strong>g <strong>in</strong>dicators. A good CAS <strong>in</strong>cludes (i) well-differentiated scenarios <strong>for</strong>Bank assistance (low, base, high case), with a strong l<strong>in</strong>k between per<strong>for</strong>mance and aid effectiveness and the level ofBank support; (ii) specific, monitorable triggers <strong>for</strong> switch<strong>in</strong>g between scenarios that focus on key re<strong>for</strong>m challenges;and (iii) clear, monitorable <strong>in</strong>dicators <strong>for</strong> evaluat<strong>in</strong>g the development effectiveness of the Bank program.10. Risks. A good CAS thoroughly treats risks to the country (economic-f<strong>in</strong>ancial, both domestic and external, political,social, and environmental) and to the Bank (exposure/f<strong>in</strong>ancial as well as reputational), proposes risk mitigationmeasures, and candidly recognizes the risk to the Bank.30

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