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Discussion Paper Series no. 41
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Foreword vAcknowledgments viExecutive summary viiWhy an international center for rice? 1Present involvement 1History of involvement 3Criteria for involvement: history 3A summary of criteria for involvement in countries 3Modes of collaboration 12Criteria for IRRI office in country 22Criteria for differentiating involvement 25Criteria for evaluating RD&D focus 25Target and means of delivery 25Bibliography 28Web database sites 28Appendix 1. Groupings and modes of collaboration from 29
previous medium-term planAppendix 2. Ten features of a good country-assistance 30
strategy
Contents
v
Foreword
The involvement of IRRI in many countries requires that weidentify priorities among and within countries.
This publication brings together relevant information thatcould be used to identify countries and areas where IRRIwould invest its scarce resources. As experience will show,however, this is not a straightforward exercise. One still hasto use other considerations, sometimes not quantifiable, toreach a decision on priority setting.
Be that as it may, having a good database and an analysisof the information contained therein allows for a synopticview of the conditions, especially as they affect rice. Thissynoptic view is important in setting 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 deter-mine priorities and levels of involvement in our countryprograms.
We hope that researchers and research managers willfind this work useful. We welcome suggestions on how tofurther improve the contents of this compendium and refinethe process of priority setting.
WILLIAM G. PADOLINA
Deputy Director General, PartnershipsIRRI
vi
The contents of this paper represent the collective effortsand vision of many IRRI staff members over the past 40years of the Institute’s history. In particular, we would like tohighlight the contributions of Dr. Glenn Denning, who wasinstrumental in developing and supporting many of IRRI’scountry programs. We thank Bill Hardy for his meticulousediting of this document.
Acknowledgments
vii
Organizations invest in IRRI as a vehicle forincreasing impact and enhancing the livelihoodsof those poor people who depend on rice. As aresult of this investment, IRRI now has researchactivities in more than 20 countries and interactswith many more. These activities are conductedin partnership with a range of national agricul-tural research and extension systems (NARES).The form of involvement ranges from major in-country projects through various forms ofcollaborative research and training to informationand germplasm exchange and occasionalconsultancy visits. The purpose of this documentis to (1) document IRRI’s past and presentinvolvement in countries and (2) document thecriteria for IRRI’s involvement and the forms ofthat involvement. These criteria provide a basisfor analysis of IRRI’s activities both now and inthe future. Such ongoing analysis is required toallow for changes in country needs as theireconomies develop and needs shift. Thus, theappropriate forms of collaboration and involve-ment with each country are not static but willrequire constant review.
Criteria for involvementThe primary criteria for IRRI to be involved in acountry relate to (1) the significance of rice and(2) the extent of poverty. (Note: Various indica-tors can be used for both of these factors.) Aseries of other modifiers then determines theactual extent and form of involvement. Thesefactors are of two types:
Country factors:1. Level of economic development2. Extent of country demand for assistance and
collaboration
3. NARES capacity in terms of research anddelivery
4. Opportunities for collaboration and impact(and spillover) in light of the socio-politicalsetting
5. Importance of national and regional foodsecurity
6. Country population7. Distance from Los Baños
IRRI factors:1. IRRI comparative advantage and supply
capacity2. Availability of funds
Data can then be assembled on each ofthese factors and used to analyze countrygroupings and potential IRRI investment.
Forms of involvementIRRI’s broad roles can be defined as those ofprovider, facilitator, and/or collaborator. As acountry’s research, delivery, and development(RD&D) capacity grows, IRRI’s role will shiftfrom one of primarily providing to increasedlevels of facilitation and collaboration. Thethemes of collaboration can take on variousforms, including• Upstream research (e.g., genomics, biotech-
nology)• Strategic research (e.g., weed ecology
studies)• Applied research (e.g., technology develop-
ment, evaluation, adaptation, and delivery)Collaborative research activities can include• Exchanges of
• Germplasm• Prototypes• Information/knowledge
Executive summary
viii
• Delivery enhancement, including decisionsupport tools
• Policy advice• Capacity (and infrastructure) building
The products of collaboration are thusmethodologies, policy, technology, decisionsupport systems or tools, information, germplasm,prototypes, awareness, image, priority setting,needs assessment, opportunity analysis, institu-tional strengthening, and impact assessment.
For enhanced impact, IRRI promotes thestructure of research around a content-process-local knowledge framework. Such a frameworkbrings together the knowledge experts (content)with the communication experts (process) withthe assurance of relevance through the involve-ment of local experts (local knowledge).
Actual involvement in a country will dependlargely on problem analysis, consultation, andopportunity analysis, but can include• Physical presence in the country through an
internationally or nationally recruited staffposition. In general, in-country presence willa. Be in advanced-economy countries if
provided by the host country to facilitateinteractions and knowledge flow.
b. Depend on the extent and form of IRRIactivities in the country or region (anoffice may be based in one country toalso serve neighboring countries).
c. Depend on host-country demand.d. Depend on funding availability.
• Collaborative research—on a specific in-country project, scientist-to-scientist ex-changes, or through consortia activities.
• Scientist visits/consultations.The form of interaction will ultimately
depend on IRRI’s comparative advantage andability to meet demand. Thus, funding opportuni-ties will always be an issue in determining theform and extent of involvement.
1
Why an international center for rice?1
One of every three people depend on rice formore than half of their daily food and one in nine(about 700 million) depend on rainfed rice.Ninety percent of the world’s rice is grown andconsumed in Asia, where more than half theworld’s people and about two-thirds of theworld’s poor live. Rice is also an important staplein some countries of Latin America and Africa.
IRRI was originally established to helpnational systems assist farmers in developingcountries in producing more rice to improve ruralincomes and overcome chronic national foodshortages. In this, IRRI and others have beensuccessful. From 1965-67 to 1991-93, total riceproduction doubled. However, rice surpluses andlow prices in recent years have helped give thefalse impression that the world’s food productionproblems have been solved. World populationpressure is intense with about 80–100 millionadditional people needing to be fed each year. Inresponse, the world’s annual unmilled riceproduction must increase by around 8–12 milliont of milled rice per year to keep up with popula-tion growth and income-induced demand forfood. At current world yield levels, this meansadding 2–3 million ha of new rice-producing landper year—land that is not available. Thus, to
meet demand and reduce drudgery, we needsustainable and improved rice production sys-tems that will lead to more rice on limited landwith less water, less labor, and less chemicalinputs. We also need to achieve this withoutharming the environment.
Present involvement
IRRI’s broad roles can be defined as those ofprovider, facilitator, and/or collaborator. Table 1shows the current range of IRRI’s primaryresearch activities. IRRI also has a range ofother activities in more than 70 countries. Forexample, from 1995 to 2000, IRRI provided ricegermplasm to 52 countries through the Interna-tional Network for Genetic Evaluation of Rice(INGER) (Table 2). In human resource develop-ment, IRRI has around 200 participants intraining events each year. Throughout its history,IRRI has had almost 6,000 participants in short-term group training and around 3,000 in degree/nondegree training from 98 countries. Many ofthose trained now hold important positions intheir government programs. Information ex-change involves 130 countries with the bulk ofthis—around 80% of all publication distribution—being with 20 countries (Australia, Bangladesh,Brazil, China, India, Indonesia, Iran, Japan,
Research for Development: IRRI’s In-Country Roles
M.A. Bell, J.A. Lapitan, and M. Hossain
1 This section comes in part from IRRI’s Web page.
IRRI is presently involved with germplasm and natural resource management research inmore than 20 countries, germplasm exchange with 52 countries, information distribution with
130 countries, and training involving more than 50 countries.
2
Table 2. Countries collaborating with INGER, 1995-2000.
Asia Africa Europe/West Asia Oceania-Pacific Americas
Bangladesh Egypt Iran Australia ArgentinaBhutan Côte d’Ivoire Iraq Fiji Island BoliviaCambodia Gambia Italy Papua New Guinea BrazilChina Kenya Turkey ColombiaIndia Madagascar Turkmenistan CubaIndonesia Morocco GuyanaJapan Mozambique MexicoKorea (S) Namibia PeruKorea (N) Nigeria SurinamLao PDR Senegal USAMalaysia Sierra LeoneMyanmar South AfricaNepal TanzaniaPakistan ZambiaPhilippinesSri LankaTaiwanThailandVietnam
Table 1. Summary of IRRI activities in major rice-producing countries as of 2000.
Substantial Liaison Country Network Consortia member*Country research office project member
activity IR RL UR FP
Bangladesh Y Y Y HR Y (y) YBhutan PBrazil YCambodia P Y (y)China Y Y IPM, INM, HR Y (y)EgyptIndia Y Y IPM, INM, HR Y Y Y YIndonesia Y Y IPM, INM, HR Y Y YIran SPKorea (N)Lao PDR Y Y IPM Y (y) YMadagascar P P (y)Malaysia IPM YMyanmar P Y (y) (y)NepalPakistanPeruPhilippines 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 Y
Developed countriesAustralia YFrance YJapan IJS YKorea (S) YUSA Y
*IR = irrigated, RL = rainfed lowlands, UR = uplands, FP = Flood-prone, IJS = IRRI-Japan Shuttle, IPM = integrated pest management, INM =integrated nutrient management, P = presently phasing down unless funding scenario changes, HR = hybrid rice, SP = special project, Y = yes,(y) = associate or observer member.Note: The Indonesia liaison office also has responsibility for Malaysia and Brunei Darussalam.
3
Malaysia, Nepal, Nigeria, Pakistan, Philippines,South Korea, Sri Lanka, Tanzania, Thailand, UK,USA, and Vietnam).
History of involvement
Table 3 summarizes IRRI’s historical involve-ment including the posting of in-country staffwith the major collaborating countries (researchlinkages with advanced research institutions incountries such as Australia, France, Japan, SouthKorea, and the USA are not shown).
Criteria for involvement: history
History would suggest that multiple criteriadetermine involvement with countries, involvingboth dominant factors and a series of modifiers.For example, Table 4 shows the criteria andindicators used in the previous IRRI medium-term plan (MTP) for allocating priorities. Thesecriteria have recently been reviewed and thesuggested percent investment by ecoregion andcountry is shown in Table 5. In the case of theInternational Programs Management Office(IPMO), several criteria were added for definingthe level of involvement and mode of collabora-tion (see Table 4 and Appendix 1; Appendix 2shows the summarized World Bank strategy forinvolvement). In the case of the ConsultativeGroup on International Agricultural Research(CGIAR), former Chairman I. Serageldin statedthat CG involvement is to be based on• A strong and unremitting focus on poverty
alleviation,• Commitment to bring modern science to bear
on the attainment of the new vision,• Priority to South Asia and sub-Saharan
Africa, where most of the world’s poor live,• Regional approaches to research planning,
and• Close integration of CGIAR activities with
those of partners in the developing regions,including partners engaged in developmentwork.
The suggested order of investment from themodel by agroecological zone in Asia is warmhumid tropics (AEZ3) > warm subhumid tropics(AEZ2) > warm subhumid subtropics withsummer rainfall (AEZ6) > warm and semiaridtropics (AEZ1) > warm/cool humid subtropics(AEZ7) > warm arid and semiarid tropics withsummer rainfall (AEZ5) > cool subtropics withsummer rainfall (AEZ8).
The order of investment by country or areaaccording to modified model output is India,China, Bangladesh, Africa, Indonesia, LatinAmerica, Vietnam, Myanmar/Nepal, Philippines,Pakistan, Thailand, Cambodia, Madagascar, SriLanka/Malaysia/Lao PDR, North Korea, SouthKorea, Japan.
A summary of criteria for involvement incountries
Dominant factors: Based on IRRI’s goal “toimprove the well-being of present and futuregenerations of rice farmers and consumers,particularly those with low income,” thedominant factors for involvement are (1) thesignificance of rice and (2) the extent of poverty(with various indicators that can be used foreach) (Table 6). These factors can then be usedto group countries according to various factors(e.g., Figures 1–18 and Tables 7 and 8). (Itshould be noted that the statistics presented arenational and considerable within-country varia-tion can exist.)
Modifiers: In addition to the dominant factors,several practical modifiers and factors determinethe appropriate form and level of involvement(Table 6). Some of the factors can be deter-mined as discrete numbers, whereas some areassessments based on experience. One majorchange in determining IRRI’s involvement is to
IRRI has a rich history of major projects inmore than 20 countries.
Historically, alleviating poverty, expected ricedemand, food security, sustainability, and
alternative suppliers of research have beenthe key factors used to determine suggested
investment in countries. Gender equity,sustaining high yields, and shifting the yield
frontier were important modifiers.
4
Tabl
e 3.
Sum
mar
y of
IR
RI
invo
lvem
ent
in v
ario
us r
ice-
prod
ucin
g co
untr
ies.
Cou
ntry
Whe
nF
irst
Pro
ject
Per
iod
Prin
cipa
l don
orIR
RI
staf
f m
embe
rs p
oste
d in
cou
ntry
colla
bora
tion
MO
U/M
OA
star
ted
Ban
glad
esh
1966
1985
Ban
glad
esh-
IRR
I19
67-7
3F
ord
Fou
ndat
ion
L.P.
V. J
ohns
on,
plan
t br
eede
r R
ice
Pro
ject
R.
Wal
ker,
rice
spec
ialis
tR
esea
rch
Sta
tion
1974
-75
For
d F
ound
atio
nD
. Cat
ling
Dev
elop
men
tR
ice
Res
earc
h19
76-8
0 (P
hase
I)
For
d F
ound
atio
n,F.
She
pard
and
Tra
inin
g P
roje
ct A
IDA
B, C
IDA
, US
AID
M.
McI
ntos
h (1
985-
87)
1981
-87
(Pha
se II
) (
Pha
se I
& II
)19
88-9
3 (P
hase
III)
US
AID
and
CID
AJ.
McI
ntos
h, r
esea
rch
(P
hase
II &
III)
sy
stem
s sp
ecia
list
Col
labo
rativ
e R
esea
rch
1994
-97
AD
B, C
ore
S.
Bhu
iyan
(ba
sed
in L
os B
años
)A
RM
P19
98-t
o da
teW
BS
. Bhu
iyan
, IR
RI r
epre
sent
ativ
eP
over
ty E
limin
atio
n19
99-t
o da
teD
FID
, Gov
t. of
Noe
l Mag
or, p
roje
ct m
anag
er
thro
ugh
Ric
e R
esea
rch
B
angl
ades
h A
ssis
tanc
e (P
ET
RR
A)
Bhu
tan
1984
1990
Ric
e-B
ased
Far
min
g19
84-9
5ID
RC
G.L
. D
enni
ng (
proj
ect
coor
dina
tor
base
d
Sys
tem
s P
roje
ct
at L
os B
años
) 19
94-J
une
1997
Wet
land
Pro
duct
ion
1995
-Jun
e 20
00ID
RC
, SD
CJ.
A.
Lapi
tan
(pro
ject
coo
rdin
ator
bas
ed
Sys
tem
s P
roje
ct
at L
os B
años
, Ju
ly 1
997-
June
200
0)E
PIN
AR
MJu
ly 2
000-
to d
ate
IDR
C, S
DC
Cam
bodi
a19
8019
86C
IAP
—C
ambo
dia-
IRR
I-19
87-2
002
Au
sAid
H. N
esbi
tt, a
gron
omis
t, te
am le
ader
Aus
tral
ia P
roje
ctR
. La
ndo,
tech
nolo
gy t
rans
fer
R.
Cha
udha
ry,
plan
t br
eede
rR
. Jos
hi, e
ntom
olog
ist
P. W
hite
, so
il sc
ient
ist
E. J
avie
r, pl
ant b
reed
erJ.
Ric
kman
, ag
engi
neer
G. J
ahn,
ent
omol
ogis
tP.
Cox
, ag
econ
omis
t
Chi
na19
60/1
982
1998
IRR
I-C
hina
Offi
ce19
98-t
o da
teC
ore
Dr.
S.X
. Tan
g, li
aiso
n sc
ient
ist
Egy
ptE
arly
197
0s19
80E
gypt
-IRR
I Ric
e19
88-9
1 (P
hase
I)
US
AID
E. S
prat
t
Res
earc
h P
roje
ct19
91-9
4 (P
hase
II)
US
AID
A.P
.K.
Red
dyR
. Tin
sley
D. H
ille
Ris
Lam
bers
A.N
. Rao
Indi
a19
6719
74A
ll In
dia
Coo
pera
tive
196
7-72
US
AID
/Roc
kefe
ller
W.
Fre
eman
, ric
e br
eede
r an
d R
ice
Impr
ovem
ent
Fou
ndat
ion
jo
int
coor
dina
tor
Pro
ject
(AIC
RIP
)S
.V.S
. S
hast
ry,
gene
ticis
t an
d co
ordi
nato
rH
. teu
Hav
e, a
gron
omis
tH
. Kau
fman
, pla
nt p
atho
logi
stJ.
Low
e, e
ntom
olog
ist
Col
labo
rativ
e pr
ojec
ts19
74-t
o da
teC
ore
and
Gov
t.B
.P.
Ghi
ldya
l, lia
ison
sci
entis
t 19
84-9
5 o
f Ind
iaR
.K.
Sin
gh,
liais
on s
cien
tist
1995
-to
date
5
Tabl
e 3
(con
tinue
d).
Cou
ntry
Whe
nF
irst
Pro
ject
Per
iod
Prin
cipa
l don
orIR
RI
staf
f m
embe
rs p
oste
d in
cou
ntry
colla
bora
tion
MO
U/M
OA
star
ted
Indo
nesi
a19
7219
78N
atio
nal R
ice
1977
-84
US
AID
J.R
. C
owan
, lia
ison
sci
entis
t 19
77-8
3
Res
earc
h P
rogr
amB
.R.
Jack
son,
pla
nt b
reed
erR
. M
orris
, cr
oppi
ng s
yste
ms
agro
nom
ist
W. T
appa
n, li
aiso
n sc
ient
ist
1984
-88
Col
labo
rativ
e P
roje
cts
1984
-to
date
C. M
amar
il, a
gron
omis
t and
liai
son
sc
ient
ist,
1989
-95
M.
Sya
m,
liais
on s
cien
tist
1995
-to
date
Iran
Ear
ly 1
960s
1983
Iran-
IRR
I Ric
e19
95-t
o da
teG
ovt.
of I
ran
G.S
. K
hush
(pr
ojec
t co
ordi
nato
r ba
sed
in
Res
earc
h an
d
Los
Bañ
os)
Tra
inin
g P
roje
ct
Japa
n19
6219
79IR
RI-
Japa
n of
fice
that
1962
-73
Gov
t. of
Jap
anJu
kyu
Cho
, in
char
ge o
f IR
RI
tr
ansl
ates
Jap
anes
e
Toky
o of
fice
R
ice
Lite
ratu
reJa
pan-
IRR
I Shu
ttle
1990
-to
date
Gov
t. of
Jap
anM
asam
i Him
eda,
liai
son
scie
ntis
t
Res
earc
hTa
dash
i Mor
inak
a, li
aiso
n sc
ient
ist
Kaz
uko
Mor
ooka
, lib
raria
nH
iroyu
ki H
ibin
o, li
aiso
n sc
ient
ist
Kor
ea (
Nor
th)
1988
1989
DP
RK
-IRR
I Ric
e19
97-9
9R
ocke
felle
r F
ound
atio
nJ.
A.
Lapi
tan
(pro
ject
coo
rdin
ator
bas
ed i
n
Res
earc
h an
d
Los
Bañ
os)
Tra
inin
g P
roje
ct
Kor
ea (
Sou
th)
1964
1986
Rap
id S
eed
1968
-R
DA
liai
son
scie
ntis
ts b
ased
at I
RR
I: C
.S. P
ark
Mul
tiplic
atio
n P
rogr
am19
79-8
0; G
.S.
Chu
ng 1
980-
83;
S.C
. Le
e 19
83-
84; C
.I. C
ho 1
984-
85; C
.H. K
im 1
986-
89; J
.K.
GU
VA
Pro
ject
1978
-P
ark
1989
-90;
M.S
. Lim
199
1-92
; N.K
. Par
k19
93-9
4; J
. Yan
g 19
94-9
6; D
. C
hung
199
6-98
; M.H
. Lee
199
8-to
dat
e
Lao
PD
R19
6819
87IR
RI-
Lao
Res
earc
hS
DC
& T
rain
ing
Pro
ject
Pha
se I
1990
-93
J. S
chill
er, t
eam
lead
erS
. P
uspa
vesa
, pl
ant
bree
der
Pha
se II
1993
-96
J. S
chill
er, t
eam
lead
erT.
Kup
chan
akul
, agr
onom
ist
W. R
oder
, agr
onom
ist (
upla
nd)
Pha
se II
I19
96-J
une
2000
J. S
chill
er, t
eam
lead
erB
. Li
nqui
st,
agro
nom
ist
K.
Far
hney
, ag
rono
mis
tP
hase
IVJu
ly 2
000-
June
200
3J.
Sch
iller
, tea
m le
ader
B.
Linq
uist
, ag
rono
mis
t
6
Tabl
e 3
(con
tinue
d).
Cou
ntry
Whe
nF
irst
Pro
ject
Per
iod
Prin
cipa
l don
orIR
RI
staf
f m
embe
rs p
oste
d in
cou
ntry
colla
bora
tion
MO
U/M
OA
star
ted
Mad
agas
car
1982
1982
; 19
96M
adag
asca
r-IR
RI
1984
-90
US
AID
J. H
oope
r, te
am le
ader
R
ice
Res
earc
h P
roje
ctB
. S
hahi
, pl
ant
bree
der
(3
pha
ses)
1991
-97
US
AID
V. B
alas
ubra
man
ian,
tea
m le
ader
T. M
asaj
o, p
lant
bre
eder
M.
Gau
drea
u, c
ropp
ing
syst
ems
agro
nom
ist
S. A
lmy,
Soc
ioec
onom
ist
Mad
agas
car-
IRR
I19
98-J
anua
ry 2
001
US
AID
M.
Gau
drea
u, t
eam
lead
er a
nd a
groe
colo
gist
Env
ironm
ent a
nd
Agr
icul
ture
Res
earc
h P
roje
ct
Mya
nmar
1965
1977
IRR
I-Bur
ma
1979
-89
CID
AP.
Esc
uro,
ric
e br
eede
r
Coo
pera
tive
Pro
ject
Mya
nmar
-IRR
I Far
min
g19
89-9
7ID
RC
R. P
alis
, IR
RI r
epre
sent
ativ
e an
d ag
rono
mis
t,
Sys
tem
s P
roje
ct
1989
-94
CB
NR
M (C
omm
unity
-19
97-2
000
IDR
C (t
o 19
98)
A.
Gar
cia,
IR
RI
repr
esen
tativ
e an
d ag
rono
mis
t,
Bas
ed N
atur
al
1994
-200
0 R
esou
rce
Man
agem
ent
P
roje
ct)
Nep
alE
arly
197
0s19
85N
one
Non
eN
one
Non
e
Pak
ista
n19
6619
97P
akis
tan-
IRR
I19
67-7
2F
ord
Fou
ndat
ion
K. M
uelle
r, ric
e sp
ecia
list
A
ccel
erat
ed R
ice
G.
McL
ean,
ric
e sp
ecia
list
Pro
duct
ion
Pro
ject
Pak
ista
n-IR
RI R
ice
1997
-98
Wor
ld B
ank
Non
e
Res
earc
h an
d T
rain
ing
Pro
ject
Per
uN
one
Non
eN
one
Non
eN
one
Non
e
Phi
lippi
nes
1960
1960
Va
rio
us
1960
-to
date
Va
rio
us
R.
Feu
eher
, lia
ison
sci
entis
t, 19
73-8
2D
. W
ood,
liai
son
scie
ntis
t, 19
83-8
6
7
Tabl
e 3
(con
tinue
d).
Cou
ntry
Whe
nF
irst
Pro
ject
Per
iod
Prin
cipa
l don
orIR
RI
staf
f m
embe
rs p
oste
d in
cou
ntry
colla
bora
tion
MO
U/M
OA
star
ted
Sri
Lank
a19
6019
67D
OA
SL-
IRR
I19
67-6
9 (P
hase
I)
For
d F
ound
atio
nJ.
Moo
maw
, ric
e sp
ecia
list
C
oope
rativ
e P
roje
ct19
69-7
1 (P
hase
II)
W.
Gol
den,
ric
e sp
ecia
list
1976
-82
US
AID
J. W
imbe
rly,
rice
proc
essi
ng e
ngin
eer
R.C
. K
hatte
r, as
soci
ate
engi
neer
J. W
imbe
rly, I
RR
I rep
rese
ntat
ive
M.
Dav
is,
crop
pro
duct
ion
spec
ialis
t/tea
m
lead
erR
. F
reed
, as
soci
ate
plan
t br
eede
rR
. T
insl
ey,
asso
ciat
e ag
rono
mis
tD
OA
SL-
IRR
I Ric
e19
89-9
5S
AR
EC
Non
e
Res
earc
h an
d T
rain
ing
Pro
ject
Tha
iland
1960
1991
Dee
pwat
er R
esea
rch
1974
to
date
IRR
I, M
OA
C (G
ovt.
B.R
. Ja
ckso
n, p
lant
bre
eder
and
liai
son
and
Tra
inin
g P
roje
ct
of T
haila
nd)
sc
ient
ist,
1966
-82
D. H
ille
Ris
Lam
bers
, pla
nt b
reed
er 1
975-
81S
mal
l Far
m M
achi
nery
1976
-85
US
AID
D. P
uckr
idge
, agr
onom
ist a
nd li
aiso
n sc
ient
ist,
Pro
ject
19
81-9
6D
. Sen
adhi
ra, p
lant
bre
eder
and
liai
son
sc
ient
ist,
1996
-Jun
e 19
98J.
A.
Lapi
tan,
inte
rim li
aiso
n sc
ient
ist,
Ju
ly-D
ec.
1998
S.
Sar
karu
ng,
plan
t br
eede
r, 19
98-t
o da
teB
. S
omrit
h, li
aiso
n sc
ient
ist,
1999
-to
date
Vie
tnam
1964
1984
Str
engt
heni
ng C
LRR
I’s19
92-9
5U
ND
PA
. M
anda
c (p
roje
ct c
oord
inat
or b
ased
in
Los
re
sear
ch a
nd t
rain
ing
B
años
ca
paci
ty
Res
earc
h an
d no
n-19
88-9
5A
usA
idN
one
de
gree
tra
inin
gD
. Puc
krid
ge, p
art-
time
liais
on s
cien
tist,
19
96-9
7G
.L.
Den
ning
, de
fac
to li
aiso
n sc
ient
ist
(fro
m
Los
Bañ
os)
1997
-98
M.A
. B
ell,
de f
acto
liai
son
scie
ntis
t (f
rom
Los
B
años
) to
dat
e
8
Table 4. Factors used in previous MTP for determining involvement and IRRIpriorities.
MTP criteria Indicator IPMO criteria forgrouping countries
Future rice demand Per capita consumption Rice area
Alleviating poverty and Calorie deprivation Level of NARS food insecurity
Sustainability Rice area under unfavorable History of collaboration ecosystems (unsustainability) and distanceArea under rice-rice
Alternative suppliers Agricultural research of research expenditure
Modifiers
Gender equity Likelihood of spillover
Sustaining high yields and NARS contribution to shifting the yield frontier IRRI’s global agenda
Need for critical minimum effort
Table 5. Suggested investment percentages developed for IRRI’s 2000 MTP based on criteria listed in Table 4.(Numbers represent standardized numbers from a total of 1,000.)
AEZ1 AEZ2 AEZ3 AEZ5 AEZ6 AEZ7 AEZ8
Country 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 with
summer rainfall rainfall summer rainfall
Bangladesh 143 143 14Cambodia 8 8 1China 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 1Philippines 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 1
Africa 105 11Latin America 34 3
9
Notes from Table 5:Definitions and countries within Asia represented by agroecological zones (AEZ).
Zone Definition Countries represented in AEZ
AEZ1 Warm and semiarid tropics IndiaAEZ2 Warm subhumid tropics India, Myanmar, ThailandAEZ3 Warm humid tropics Bangladesh, Cambodia, Indonesia, Lao PDR,
Malaysia, Philippines, Sri Lanka, VietnamAEZ5 Warm arid and semiarid China, India, Pakistan
tropics with summer rainfallAEZ6 Warm subhumid subtropics India, China, North Korea, South Korea, Nepal,
with summer rainfall JapanAEZ7 Warm/cool humid subtropics ChinaAEZ8 Cool subtropics with summer rainfall India, China, rest of Asia
Table 6. Criteria to determine the type of partnership collaboration with NARES and examples of potentialindicators for each.
Dominant factors• Poverty
• Purchasing power parity, percent poverty, child mortality, calorie deficit, UNDP human development index• Income/rice reliance—risk of food insecurity (index of M. Hossain, 1996)
• Significance of rice• Area devoted to rice as % of total arable land; total production; rice consumption (total or calorie); percent household
dependent on rice; percent labor force in 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 involvement• Level of economic development
• World Bank rating of level of economic development• NARES demand and strength (human resources and infrastructure for 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 trained human resources (PhD, MSc, BS)
• Strength of delivery system—rate of yield increase (this is really an integration of a range of factors involving policy,research outputs, and delivery capacity)
• Investment in 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 IRRI• Collaborative opportunities• Potential for impact and spillover benefits (socio-political setting)• IRRI comparative advantage and supply capacity• Fund availability (including matching donor and host-country interest)
• Potential for external bilateral funding support; capacity to provide local funding support (from government sources)• Distance (cost and communication efficiencies) implications for efficiency of input
10
Table 7a. Country groupings based on significance of rice and extent ofpoverty (as estimated by child mortality).
High Korea (S) Indonesia BangladeshMalaysia Philippines Cambodia
Sri Lanka Lao PDRThailand MyanmarVietnam Nepal
Medium Japan Bhutan ChinaIndiaMadagascarKorea (N)
Low USA Brazil PakistanAustralia PeruFrance Iran
Egypt
Low Medium High
Poverty
• Child mortality per 1,000 births as an index of poverty: Low = <20, Medium = 20–60; High = >60.
Significance of rice(as percent ofarable land area)
Table 7b. Country groupings based on significance of rice and humandevelopment index.
High Korea (S) Malaysia Lao PDRThailand NepalPhilippines BangladeshSri LankaIndonesiaVietnamMyanmarCambodia
Medium Japan China BhutanIndia Madagascar
Korea (N)
Low USA Brazil PakistanAustralia PeruFrance Iran
EgyptPakistan
High Medium Low
Poverty
Significance of rice(as percent ofarable land area)
• UNDP human development index as an index for poverty: Low = >0.8, Medium = 0.5–0.8, High = <0.5.• Significance of rice: rice as a percent of arable land: Low = <25%, Medium = 25–50%, High = >50%.
11
Tabl
e 8.
Sum
mar
y ta
ble
of c
ount
ries
bas
ed o
n di
ffer
ent
indi
cato
rs.
Foc
us (
see
expl
anat
ions
bel
ow)
Mod
ifier
s(s
uch
as s
ocio
-pol
itica
lC
ount
ryP
over
ty
S
igni
fican
ceA
gric
ultu
re
In
stitu
tiona
lF
ood
Sus
tain
abili
tyf In
com
e/P
oten
tial
syst
em, N
AR
ES
alle
viat
iona
o
f ric
ebas
of
%
c
apac
ityse
curi
tye
rice
for
dem
and)
of G
DP
c
ne
edsd
relia
nceg
impa
ct?
12
12
Ban
glad
esh
HH
HM
MM
HM
HM
-HB
huta
nM
MH
HH
HM
Cam
bodi
aH
HH
HH
HL
LM
HC
hina
MM
MM
LL
LM
HH
Indi
aH
MM
MM
ML
LH
M-H
Indo
nesi
aM
HH
MM
LL
MH
M-H
Kor
ea (
N)
HM
LH
MH
HM
LS
yste
m c
halle
nges
Lao
PD
RH
HH
HH
MM
LM
M-H
Mya
nmar
HH
HH
HM
LL
ML
Sys
tem
cha
lleng
esN
epal
HH
MH
LH
LL
HM
Pak
ista
nH
LL
ML
ML
LH
L-M
Sys
tem
cha
lleng
esP
hilip
pine
sM
HM
ML
MH
MH
M-H
Sri
Lank
aL-
MH
MM
MM
LH
HM
Tha
iland
MH
ML
MH
LL
MM
-HV
ietn
amM
HH
ML
LL
MH
HLa
tin A
mer
ica
and
C
arib
bean
Iran
ML
LM
LL
HL
MA
fric
aM
Mad
agas
car
HM
MH
HH
LL
MH
igh
inco
me,
se
lf-re
liant
Kor
ea (
S)
LH
ML
LL
LH
LL
Sys
tem
adv
ance
d, y
ield
s hi
ghJa
pan
LM
LL
LM
LH
LL
Sys
tem
adv
ance
d, y
ield
s hi
ghM
alay
sia
LH
ML
LH
HH
LL-
M
Def
initi
ons
for
Tabl
e 8.
a Chi
ld m
orta
lity
per
1,00
0 bi
rths
as
an in
dex
of p
over
ty:
L =
<20
, M
= 2
0–60
, H
= >
60.
b Sig
nific
ance
of
rice.
• 1
= r
ice
as a
per
cent
of a
rabl
e la
nd: L
= <
25%
, M =
25–
50%
, H =
>50
%•
2 =
con
sum
ptio
n in
kg
per
capi
ta: L
= <
100,
M =
100
–200
, H =
>20
0c A
gric
ultu
re a
s a
perc
ent o
f GD
P: L
= <
15%
, M =
15–
30%
, H =
>30
%d I
nstit
utio
nal c
apac
ity n
eeds
: 1
= h
a pe
r re
sear
cher
as
an in
dex:
L =
<10
,000
, M
= 1
0,00
0–20
,000
, H
= >
20,0
00;
2 =
del
iver
y ca
paci
ty:
base
d on
rat
e of
yie
ld g
ain
1961
-98
(kg
ha–1
y–1
): L
= <
27,
M =
27–
54,
H=
>54
(54
= w
orld
ave
rage
).e F
ood
secu
rity—
rice
impo
rtat
ion
(kg)
per
cap
ita a
s an
inde
x: L
= <
10, M
= 1
0–20
, H =
>20
.f S
usta
inab
ility
—pe
ople
per
ara
ble
ha a
s an
inde
x: L
= <
10, M
= 1
0–20
, H =
>20
.g I
ncom
e/ric
e re
lianc
e (f
rom
Hos
sain
199
6).
L =
hig
h in
com
e, s
elf-
relia
nt,
M =
exc
ess
rice
prod
uctio
n ca
paci
ty,
H =
ris
k of
foo
d in
secu
rity.
12
change the definition of IRRI’s partners fromNARS to NARES (to include governmentextension, NGOs, and the private sector) torecognize the importance of both research anddelivery capacities in enhancing the livelihoods ofpeople.
Social, resource, and economiccharacteristicsPopulation, economics, and rice statistics helptarget potential countries for collaboration. Forexample, although the People’s Republic ofChina 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 in terms ofpopulation per arable ha (Fig. 3). Highlighting theimportance of water in rice production, Lao PDRhas the greatest internal 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 income asestimated by purchasing power parity (Fig. 8),whereas Myanmar relies the most on agriculturein terms of its contribution to gross domesticproduct (Fig. 9). (Estimates of poverty acrosscountries are very incomplete and so are notpresented.)
Significance of riceIn terms of the national significance of rice,Vietnam has the highest use, planting more than100% of its arable land to rice because ofmultiple cropping, whereas Myanmar has thehighest per capita consumption (Fig. 10). How-ever, as a percent of the world’s rice area, Indiaand China dominate, combining for almost half ofthe world’s rice area (Fig. 11) with Chinadominating 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), China has had the highestrate of yield gain (regression analysis from 1961
to 1998, Fig. 16). Figure 16 represents anintegration of factors contributing to yield gains,including research and delivery capacities, policyenvironments, and rice ecosystem potential. Interms of production versus national consumption,the relationship is essentially linear (Fig. 17),highlighting the importance of national andregional food security, with exporting countriessuch as Vietnam and Thailand providing animportant buffer for regional food supplies. Theleading export-earning countries in 1998 wereThailand, India, Vietnam, USA, China, andPakistan.
Finally, plotting the significance of riceagainst an estimate of economic development(Fig. 18) helps group countries in terms of thedominant factors that influence involvement.
Table 8 shows how the countries rate interms of several of the criteria (including group-ings based on the definition of Hossain (1996)).
Modes of collaboration
IRRI’s roles can be broadly defined as those of• Provider (e.g., science, technology, expertise,
information, germplasm, prototypes, andtraining),
• Facilitator (e.g., a catalyst for action or forbringing groups together), and/or
• Collaborator.Collaboration can take on various forms,
such as• Upstream research (e.g., genomics, biotech-
nology),• Strategic research (e.g., weed ecology
studies), or• Applied research including technology
development, evaluation, adaptation, anddelivery (e.g., field-level technology develop-ment).
Potential involvement across rice-growingcountries can be based on several criteria.
The dominant factors remain the significanceof rice and the extent of poverty.
13
Population density (people ha–1)
Fig. 2. Population density (total population per total land area, in ha) of various rice-growing countries.
Population (millions)
Fig. 1. Total population (millions) of various rice-growing countries.
0
200
400
600
800
1,000
1,200
1,400
ChinaIn
diaUSA
Indonesia
Brazil
Pakista
n
Japan
Bangladesh
Vietnam
Philippines
Iran
Egypt
Thailand
Korea
(S)
Mya
nmar
Colombia
Tanzania
KenyaPeru
Korea
(N)
Nepal
Malays
ia
Uganda
SriLanka
Australia
Moza
mbique
Madagasc
ar
Cambodia
LaoPDR
Bhutan
Country
0
1
2
3
4
5
6
7
8
9
10
Bangladesh
Korea
(S)
Japan
India
SriLanka
Philippines
Vietnam
Korea
(N)
Pakista
n
Nepal
China
Thailand
Indonesia
Uganda
Malays
ia
Mya
nmar
Egypt
Cambodia
Kenya Iran
Colombia
Tanzania
USA
Madagasc
ar
LaoPDR
Moza
mbique
Peru
Brazil
Bhutan
Australia
Country
14
Cubic meters
Fig. 4. Annual per capita internal renewable water resources (1998, cubic meters).
0
10,000
20,000
30,000
40,000
50,000
60,000
LaoPDR
Bhutan
Brazil
Colombia
Mya
nmar
Malays
ia
Madagasc
ar
Australia
Indonesia
BangladeshUSA
Cambodia
Nepal
Moza
mbique
Vietnam
Philippines
Japan
Korea
(N)
Tanzania
SriLanka
ChinaIn
dia
Thailand
UgandaIra
n
Pakista
nPeru
Korea
(S)
KenyaEgyp
t
Country
Persons arable ha–1
Fig. 3. Productivity demand (persons arable ha–1) for various rice-growing countries.
0
5
10
15
20
25
30
35
Egypt
Japan
Korea
(S)
Malays
ia
SriLanka
Vietnam
Korea
(N)
China
Philippines
Bangladesh
Tanzania
Indonesia
Nepal
Colombia
Bhutan
LaoPDR
KenyaPeru
Madagasc
ar
Pakista
nIn
dia
Moza
mbique
Cambodia
Mya
nmar
UgandaIra
n
Brazil
Thailand
USA
Australia
Countr y
15
0
10
20
30
40
50
60
70
80
90
100
Nepal
Uganda
Bhutan
Bangladesh
Thailand
Cambodia
LaoPDR
SriLanka
Vietnam
Tanzania
Mya
nmar
India
Madagasc
ar
Kenya
China
Pakista
n
Indonesia
Moza
mbique
Egypt
Malays
ia
Philippines
Iran
Korea
(N)
Peru
Colombia
USAJa
panBra
zil
Korea
(S)
Australia
Country
Rural population (%)
Fig. 6. Rural population (as % of total population) for various rice-growing countries.
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
USA
Madagasc
ar
Pakista
nIra
n
Australia
Egypt
Malays
ia
Japan
Korea
(N)
Philippines
Korea
(S)
India
Thailand
SriLanka
China
Vietnam
Peru
LaoPDR
Brazil
Bangladesh
Colombia
Nepal
Mya
nmar
Indonesia
Kenya
Cambodia
Moza
mbique
Tanzania
Uganda
Bhutan
Country
Cubic meters
Fig. 5. Annual per capita withdrawal (cubic meters).
16
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
Cambodia
Madagasc
ar
Tanzania
Moza
mbique
Bhutan
Korea
(N)
Uganda
Nepal
Mya
nmar
LaoPDR
Bangladesh
KenyaIn
dia
Vietnam
Pakista
n
SriLanka
Indonesia
Egypt
Philippines
ChinaPeru
Iran
Thailand
Brazil
Colombia
Malays
ia
Korea
(S)
Australia
Japan
USA
Country
Fig. 8. Purchasing power parity for various rice-growing countries.
US$
Rural labor arable ha–1
Fig. 7. Rural labor abundance (rural workers arable ha–1) for various rice-growing countries.
0
2
4
6
8
10
Bhutan
China
Tanzania
Vietnam
Nepal
Egypt
SriLanka
Bangladesh
Kenya
LaoPDR
Indonesia
Moza
mbique
Madagasc
ar
Korea
(N)
Philippines
Malays
ia
Mya
nmar
Cambodia
UgandaIn
dia
Korea
(S)
Pakista
n
Thailand
Colombia
Japan
PeruIra
nBra
zilUSA
Australia
Country
17
0
50
100
150
200
250
300
350
Vietnam
Bangladesh
SriLanka
LaoPDR
Cambodia
Malays
ia
Nepal
Philippines
Mya
nmar
Indonesia
Korea
(S)
Thailand
Madagasc
ar
Japan
Korea
(N)
China
Bhutan
India
Egypt
Tanzania
Pakista
n
Colombia
Brazil
Moza
mbique
PeruIra
n
UgandaUSA
Kenya
Australia
Country
Consumption (kg/capita/yr) (1997)
Rice area/arable land area (%)
Fig. 10. Significance of rice (consumption and area planted) for various rice-growing countries.
Consumption (kg capita–1 y–1) (1997)
Rice area arable land area–1 (%)
Fig. 9. Agriculture as a percentage of the gross domestic product for various rice-growing countries.
Agriculture as a percentage of gross domestic product
0
10
20
30
40
50
60
Mya
nmar
LaoPDR
Cambodia
Tanzania
Uganda
Nepal
Bhutan
Moza
mbique
Madagasc
ar
Vietnam
India
Pakista
n
Kenya
Bangladesh
SriLanka
Indonesia
Colombia
China
Philippines
Egypt
Iran
Thailand
Malays
iaBra
zilPeru
Korea
(S)
Australia
Japan
USA
Country
18
Fig. 12. Total rice production (1998).
Production (million t)
0
100
200
300
400
500
600
World Asia
ChinaIn
dia
Indonesia
Vietnam
Bangladesh
Thailand
Mya
nmar
Japan
Philippines
USABra
zil
Pakista
n
Korea
(S)
Egypt
Nepal
Cambodia
Iran
SriLanka
Madagasc
ar
Korea
(N)
Malays
ia
Colombia
LaoPDR
Peru
Australia
Tanzania
Moza
mbique
Uganda
Kenya
Bhutan
Country or region
0
5
10
15
20
25
30
India
China
Indonesia
Bangladesh
Thailand
Vietnam
Mya
nmar
Brazil
Philippines
Pakista
n
Cambodia
Japan
Nepal
Madagasc
arUSA
Korea
(S)
SriLanka
Korea
(N)
Malays
iaIra
n
LaoPDR
Tanzania
Egypt
Colombia
Moza
mbique
Peru
Australia
Uganda
Bhutan
Kenya
Country
Percentage of world rice area
Fig. 11. Percentage of world rice area for various rice-growing countries.
19
0
2
4
6
8
10
12
Australia
Egypt
Korea
(S)
USAJa
pan
ChinaPeru
Iran
Colombia
Indonesia
Vietnam
Asia
World
Korea
(N)
SriLanka
Mya
nmar
Malays
iaIn
dia
Pakista
n
Kenya
Bangladesh
LaoPDR
Philippines
Brazil
Nepal
Thailand
Madagasc
ar
Cambodia
Bhutan
Tanzania
Uganda
Moza
mbique
Country or region
Yield (t ha–1)
Fig. 13. National average rice yields (1998, t ha–1) for various rice-growing countries.
0
2
4
6
8
10
12
0 20 40 60 80 100 120
Percent rice area irrigated
gy
()
()
Australia
Japan
World
`
Asia
Bangaldesh
BhutanCambodia
China
India
Indonesia Iran
Korea (N)
Korea (S)
Lao PDR MalaysiaMyanmar
NepalPakistan
PhilippinesSri Lanka
Thailand
Vietnam
Egypt
Kenya
Madagascar
Mozambique
TanzaniaUganda
Brazil
Colombia
Peru
USA
Average national yield (t ha–1), 1998
Fig. 14. Average national yields (t ha–1) in 1998 versus percent rice area irrigated.
20
0
1
2
3
4
5
6
7
1960 1965 1970 1975 1980 1985 1990 1995 2000Year
WorldAsiaBangladeshBhutanCambodiaChinaIndiaIndonesiaIranKorea (N)Korea (S)Lao PDRMalaysiaMyanmarNepalPakistanPhilippinesSri LankaThailandVietnam
Yield (t ha–1)
Fig. 15. Rice yields versus time for selected rice-growing countries.
-40
-20
0
20
40
60
80
00
20
China
Australia
Egypt
Indonesia
Colombia
Korea
(S)
USAAsia
Vietnam
World Ira
n
LaoPDR
Mya
nmar
Peru
Philippines
SriLanka
India
Pakista
n
Bangladesh
Malays
iaBra
zil
Japan
Tanzania
Nepal
Thailand
Cambodia
Uganda
Madagasc
ar
Kenya
Bhutan
Moza
mbique
Korea
(N)
Country or region
Rate of yield gain (kg ha–1 y–1)
Fig. 16. Average rate of yield gain (kg ha–1 y–1) from 1968 to 1998.
–
–
Korea
(N)
21
Production (kg capita–1 y–1)
Consumption (kg capita–1 y–1)
0
50
100
150
200
250
300
350
0 50 100 150 200 250 300 350 400
Myanmar
VietnamBangladesh Cambodia
China
India
Indonesia
Iran
Korea (N)
Korea (S)
Lao PDR
Malaysia
Nepal
Pakistan
Philippines
Sri Lanka
Thailand
Egypt
Kenya
Madagascar
MozambiqueTanzaniaUganda
Brazil
Colombia
Peru
USA Australia
Japan
1:1 line
Fig. 17. Production versus consumption for various rice-growing countries.
Fig. 18. Significance of rice (as percent of arable land) versus purchasing power parity for various rice-growing countries.
Significance of rice (rice as % of arable area)
0
20
40
60
80
100
120
140
0 5,000 10,000 15,000 20,000 25,000 30,000 35,000
Purchasing power parity (US$)
Japan
Australia USA
Vietnam
Bangladesh
Sri LankaLao PDR
Cambodia
Malaysia
Philippines
Myanmar/Nepal
Indonesia
Korea (S)
ThailandMadagascar
Korea (N)China
India Egypt
Bhutan
Tanzania
Pakistan BrazilMozambique Peru Iran
Uganda/Kenya
Colombia
22
Activities can involve• Exchanges of
• Germplasm• Prototypes• Information/knowledge
• Delivery enhancement—including technol-ogy delivery (research use) and decisionsupport systems and tools (DSS and DST)
• Policy• Capacity (and infrastructure) building• Visits or consultancies
The products of collaboration thus includemethodologies, policy, technology, DSS, DST,information, germplasm, prototypes, awareness,image, priority setting, needs assessment,opportunity analysis, institutional strengthening,and impact assessment.
Although these forms 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 combine thiswith information from the figures to identify themost probable forms of collaboration (e.g., Table10). (Note: In such an exercise, national aver-ages are used. It is important to note, however,that within-country variation can be great, suchas eastern India versus northern India, and NorthVietnam versus South Vietnam.)
Criteria for IRRI office in country
Once collaboration is established, physicalpresence may become desirable. The level ofeconomic development of the country will largelydetermine this decision:a. For high- and upper-middle-income coun-
tries, an office would be established in thecountry if provided by the host country tofacilitate interactions and knowledge flow.This arrangement is at times an indirectopportunity for the host country to contributeto international development by enhancingknowledge and technology flow through theinternational agricultural research center(IARC), which acts as an information ortechnology hub.
b. For countries with lower levels of economicdevelopment, the establishment of an officewill depend on the extent and form of IRRIactivities in the country, host-country de-mand, and availability of funds.
Table 9. Research and delivery capacities as determined by the number ofarable ha per researcher and the rates of yield increases (1961-98).
High Malaysia Japan AustraliaPakistan USAPhilippines China
IranKorea (S)Vietnam
Medium Korea (N) Bangladesh IndonesiaNepal IndiaThailand Sri Lanka
Low Bhutan Lao PDRCambodia Myanmar
Low Medium High
National delivery capacity (based on rates of yield increase)
Note: national research capacity based on ha per researcher as an index: High = <10,000, Medium= 10,000–20,000, Low = >20,000; national delivery capacity (based on the rate of yield increase,1961-98): Low = <25, Medium = 25–50, High = >50 kg ha–1 y–1.
National researchcapacity (based onha per researcher)
Appropriate research involvement for IRRI in acountry depends on the needs and level ofdevelopment of the country and this can be
upstream, strategic, or applied and can takethe form of provider, facilitator, or collaborator.
23
Tabl
e 10
. C
ount
ry g
roup
ings
and
lik
ely
form
s of
int
erac
tion.
Eco
nom
yaC
apac
ityC
ount
ries
Opp
ortu
nitie
s
I.C
ount
ries
with
adv
ance
d pr
oduc
tion
syst
ems
and
wel
l-de
velo
ped
econ
omie
s, r
ice
may
or
may
not
be
sign
ifica
nt,
self-
suff
icie
ncy
not
a m
ajor
eco
nom
icis
sue
(but
may
be
a m
ajor
cul
tura
l is
sue)
Hig
hR
esea
rch
and
Aus
tral
ia,
Fra
nce,
Jap
an,
US
A•
IRR
I’s r
ole
is p
rimar
ily th
at o
f fac
ilita
tor
and
colla
bora
tor
de
liver
y ve
ry h
igh
•S
trat
egic
and
ups
trea
m r
esea
rch
colla
bora
tion
•IR
RI
may
act
on
beha
lf of
the
cou
ntry
as
a fa
cilit
ator
. In
the
se c
ases
,U
pper
mid
dle
Res
earc
h an
dB
razi
l, M
alay
sia,
Kor
ea (
S)
coun
trie
s us
e IR
RI’s
net
wor
ks a
nd li
nkag
es t
o co
nduc
t ac
tiviti
es in
de
liver
y ve
ry h
igh
othe
r (le
ss d
evel
oped
) co
untr
ies
•Le
arni
ng c
urve
exp
erie
nces
•T
hese
cou
ntrie
s ar
e pr
ovid
ers
in t
heir
own
right
, be
ing
sour
ces
ofte
chno
logy
, kn
owle
dge,
and
fun
ds
II.C
ount
ries
with
low
- to
low
er-m
iddl
e-in
com
e ec
onom
ies,
res
earc
h an
d de
liver
y ca
paci
ties
gene
rally
hig
h, p
over
ty—
sign
ifica
nt l
evel
s, r
ice—
self-
suff
icie
nt(o
r al
mos
t),
rice
hig
hly
sign
ifica
nt,
popu
latio
n pr
essu
res
med
ium
to
high
, fo
od s
ecur
ity a
maj
or i
ssue
Low
er m
iddl
eR
esea
rch
gene
rally
hig
h,P
hilip
pine
s, S
ri La
nka,
Tha
iland
•M
ixed
res
earc
h op
port
uniti
es.
IRR
I’s r
ole
is a
mix
of
faci
litat
or,
de
liver
y va
riabl
eco
llabo
rato
r, an
d pr
ovid
er (
the
latte
r be
ing
espe
cial
ly in
rel
atio
n to
adva
nced
tra
inin
g ne
eds)
Lo
wR
esea
rch
gene
rally
hig
h,C
hina
, Ind
ones
ia, V
ietn
am•
Maj
or e
mph
asis
is o
n de
velo
ping
str
ateg
ic a
nd a
pplie
d re
sear
ch
deliv
ery
gene
rally
hig
hca
paci
ties
with
spe
cial
foc
us o
n su
stai
nabi
lity
rese
arch
to
ensu
refo
od s
ecur
ity i
n ad
just
ing
to s
hifts
in
land
, la
bor,
and
wat
er s
hort
ages
•M
ajor
mod
e of
str
engt
heni
ng i
s re
sear
ch c
olla
bora
tion
thro
ugh
rese
arch
con
sort
ia a
nd b
ilate
ral N
AR
ES
-IR
RI p
rogr
ams
•C
apac
ity b
uild
ing
emph
asis
is m
ore
on s
trat
egic
and
app
lied
rese
arch
•O
ppor
tuni
ties
for
rese
arch
int
o ar
eas
with
spi
llove
r to
oth
er c
ount
ries
may
jus
tify
invo
lvem
ent,
whe
re a
n in
-cou
ntry
ana
lysi
s pe
r se
may
not
•V
aria
ble
emph
asis
on
activ
ities
rel
ated
to
eval
uatio
n, a
dapt
atio
n, a
ndde
liver
y of
res
earc
h pr
oduc
ts a
s th
ey c
an a
t tim
es b
e ad
equa
tely
met
by t
he N
AR
ES
’ ow
n ca
paci
ty•
Res
earc
h co
nsor
tium
mem
ber
III.
Cou
ntri
es w
ith l
ow-i
ncom
e ec
onom
ies,
res
earc
h ca
paci
ty r
easo
nabl
e, d
eliv
ery
capa
city
low
to
mod
erat
e, p
over
ty—
sign
ifica
nt l
evel
s, r
ice—
self-
suff
icie
nt(o
r al
mos
t),
rice
hig
hly
sign
ifica
nt,
popu
latio
n pr
essu
res
med
ium
to
high
, fo
od s
ecur
ity a
maj
or i
ssue
Lo
wR
esea
rch
mod
erat
e to
Ban
glad
esh,
Indi
a, N
epal
, Pak
ista
n•
IRR
I’s r
ole
is a
mix
of
faci
litat
or,
colla
bora
tor,
and
prov
ider
hi
gh,
deliv
ery
low
•R
equi
res
a ba
lanc
e of
act
iviti
es t
o su
ppor
t st
rate
gic
and
appl
ied
to
mod
erat
ere
sear
ch a
nd t
he e
valu
atio
n, a
dapt
atio
n, a
nd d
eliv
ery
of r
esea
rch
pro
du
cts
•S
usta
inab
ility
res
earc
h ad
just
ing
to s
hifts
in
land
, la
bor,
and
wat
ersh
ort
ag
es
•C
apac
ity b
uild
ing
24
Tabl
e 10
(co
ntin
ued)
.
Eco
nom
yaC
apac
ityC
ount
ries
Opp
ortu
nitie
s
IV.
Cou
ntri
es w
ith l
ow-i
ncom
e ec
onom
ies,
res
earc
h an
d de
liver
y ca
paci
ties
need
maj
or s
tren
gthe
ning
, po
vert
y—si
gnifi
cant
lev
els,
ri
ce—
self-
suff
icie
nt (
oral
mos
t),
rice
hig
hly
sign
ifica
nt,
popu
latio
n pr
essu
res
med
ium
to
high
, fo
od s
ecur
ity a
maj
or i
ssue
Lo
wR
esea
rch
rela
tivel
y lo
wB
huta
n, C
ambo
dia,
Lao
PD
R,
•IR
RI’s
dom
inan
t ro
le h
ere
is t
hat
of p
rovi
der—
ofte
n w
ith s
taff
base
d
Mya
nmar
, K
orea
(N
), M
adag
asca
rin
the
cou
ntry
. As
NA
RE
S’ c
apac
ities
gro
w,
the
role
s in
fac
ilita
tion
and
colla
bora
tion
deve
lop
•N
eed
sign
ifica
nt c
apac
ity b
uild
ing
and
appl
ied
rese
arch
col
labo
ratio
n•
Gre
ater
em
phas
is is
pla
ced
on e
valu
atio
n, a
dapt
atio
n, a
nd d
eliv
ery
ofre
sear
ch p
rodu
cts
thro
ugh
inje
ctio
n of
lar
ge b
ilate
ral
dono
r su
ppor
tfa
cilit
ated
thro
ugh
IRR
I•
As
they
im
prov
e th
eir
capa
citie
s, t
hey
beco
me
mem
bers
of
rese
arch
cons
ortia
V.
Cou
ntri
es w
ith l
ow t
o lo
wer
-mid
dle-
inco
me
econ
omie
s, s
mal
l ri
ce-p
rodu
cing
cou
ntri
es r
eque
stin
g as
sist
ance
Low
er-m
iddl
eR
esea
rch
mod
erat
ely
Col
ombi
a, C
osta
Ric
a, C
uba,
Iran
,•
IRR
I’s d
omin
ant
role
her
e is
typ
ical
ly t
hat
of (
long
-dis
tanc
e) p
rovi
der,
hi
gh,
deliv
ery
varia
ble
Egy
pt, M
exic
o, P
eru
with
min
imal
rol
e in
faci
litat
ion
and
colla
bora
tion.
•S
ome
stra
tegi
c le
arni
ng c
urve
opp
ortu
nitie
sL
ow
Res
earc
h m
oder
atel
yN
icar
agua
•F
or s
tron
ger
NA
RE
S, I
RR
I Los
Bañ
os p
rovi
des
limite
d su
ppor
t
high
, de
liver
y va
riabl
eth
roug
h ad
vanc
ed d
egre
e pr
ogra
ms
and
focu
sed
upst
ream
tra
inin
g•
For
rel
ativ
ely
wea
k N
AR
ES
, IR
RI L
os B
años
pro
vide
s lim
ited
supp
ort
Lo
wR
esea
rch
low
,K
enya
, M
alaw
i, M
ozam
biqu
e,to
NA
RE
S f
or d
egre
e pr
ogra
ms
and
focu
sed
trai
ning
de
liver
y lo
w T
anza
nia,
Uga
nda
•G
erm
plas
m a
nd in
form
atio
n ex
chan
ge•
Spo
nsor
ed c
onsu
ltanc
ies
•B
eing
gen
eral
ly d
ista
nt f
rom
IR
RI
Los
Bañ
os,
a lo
w-c
ost
appr
oach
isus
ed f
or m
eetin
g th
eir
need
s, m
ostly
by
part
icip
atin
g in
tec
hnol
ogy
eval
uatio
n ne
twor
ks o
r re
gion
al p
rogr
ams
or n
etw
orks
•M
inim
al p
erso
nnel
sup
port
from
IRR
I Los
Bañ
os
a Wor
ld B
ank
econ
omic
cla
ssifi
catio
n: lo
w-in
com
e ec
onom
ies
= <
US
$760
, low
er-m
iddl
e-in
com
e ec
onom
ies
= U
S$7
61–3
,030
, upp
er-m
iddl
e-in
com
e ec
onom
ies
= U
S$3
,031
–9,3
60, h
igh-
inco
me
econ
omie
s =
>US
$9,3
61.
25
We are increasingly seeing that, as nationaleconomies develop, countries are contributing tothe upkeep of an IRRI presence through directcontributions to IRRI or IRRI-related activities.
Criteria for differentiating involvement
When all the dominant and modifying factors arecombined, five generic forms of interactionemerge based on the level of economic develop-ment, strength of the national research anddelivery system, extent of poverty, level ofproduction systems, and importance of self-sufficiency and food security (Table 10).
Criteria for evaluating RD&D focus
When considering the actual content of theresearch, delivery, and development activities,the following factors are considered:• Target group• Needs and problems• Opportunity• Probability of success• Probable impact if successful—significance
of problem• Spillover effects (flow to other regions and
countries)• Alternative suppliers of RD&D• Comparative advantage• Other factors, such as public/donor percep-
tions/values, socio-political settingAnother issue is to highlight the appropriate
role that IRRI needs to play in terms of delivery
and development. There is a continuing debateas to the role that international centers such asIRRI should play in terms of developmentactivities. IRRI is very clear on this.1. IRRI’s primary focus is research, but a
research cycle should include successfulapplication of the science and feedback fromend-users, and should not finish before this.
2. In collaboration with NARES partners, IRRIseeks to validate and evaluate technologywith the ultimate beneficiaries.
3. IRRI does not move to fill developmentvoids, but rather seeks to work with develop-ment organizations to test technologies anddevelop delivery methodologies that allow forthe effective communication of options to awider group of beneficiaries.Thus, the rationale for IRRI involvement in
delivery at the field level is that• there is NARES commitment (to ensure
sustainability of effort),• public goods such as knowledge or principles
that can be applied elsewhere are generated,• NARES human resources for sustainability
and impact are developed, and• efforts feed into the development efforts of
other partners.To highlight this approach, IRRI RD&D
embraces “research for development” that keepsthe institutional focus on research while recog-nizing the need for the research to be used.IRRI’s role therefore includes facilitating,understanding, and documenting delivery.
Target and means of delivery
In considering IRRI’s desire to increase impact,we need to consider what are the productsproduced, who are the target groups, and what
IRRI’s physical presence in a countrydepends on the extent and form of IRRI
activities in the country, host-country demand,and availability of funds.
IRRI’s involvement in a country can fall intoone of five generic forms depending on thelevel of economic development, strength ofthe national research and delivery system,
extent of poverty, and the significance of rice.
IRRI’s actual involvement in a country willdepend on a range of factors such as need,
opportunity, potential for success and impact,spillover effects, and comparative
advantage. The need for use of researchmeans that IRRI works with but does
not replace development partners.
26
are the means of delivery to these groups (Table11). Because of the range of products, impactwill take on different forms (Table 12).
The research cycle can be defined to includeproblem identification, participatory research,delivery, and evaluation (including monitoring,feedback, and impact assessment). Researchrequires relevance—it must meet the needs ofthe target group and be not only beneficial butalso perceived to be beneficial. Thus, farmers’perceptions and incentives need to be integralparts of a research agenda. To avoid disciplinaryresearch in isolation and to ensure research
relevance and efficiency, the “content-process-local knowledge” framework provides a robustmodel:• Content refers to the researcher and knowl-
edge and understanding of the technology• Process refers to the delivery of the knowl-
edge—packaging and presentation• Local knowledge refers to the inclusion in
the process of local input to ensure rel-evance and feedback to ensure that needsare matched with opportunities that considerlocal circumstances, contacts, and suitabilityof technology fit.
Table 11. Summary of IRRI products, target groups, and means of delivery.
Products Means of delivery Targets
Germplasm Networks DonorsTechnology Scientist to scientist MediaKnowledge Consortia General public• Policy Training NARES• Decision support • Short course • Research systems or tools • On-the-job • ExtensionMethodologies • Degree • NGOs• Research techniques Postgraduate Private• Priority setting Media Advanced research institutes• Needs assessment Publications Farmers• Opportunity analysis Web Farmers’ groupsImpact assessmentPrototypesAwareness/imageInformationInstitutional strengthening
Table 12. Forms of impact from efforts of an internationalorganization.
Research Introduce new paradigms in research approachAdopt new research and analytical methodsUse generic materials in breeding of new cultivars
Policy Change policyEstablish new regulationsDevelop systems to facilitate adoption
Extension system Use products and knowledge in extensionAdopt new information delivery approaches
Farmers Practice changeIncrease productivityReduce health risks
27
The figure below highlights the need forinteraction, but also indicates that there should beopportunities for independent action.
When applied, based on Table 13, this simplemodel clearly demonstrates to collaboratorswithin a system what their roles are and howthey can function together to increase theefficiency of their research and delivery system.It helps clearly identify which areas needcollaboration, which areas are lacking, and whichareas can be pursued independently. It recog-nizes that people are the key to success and allhave a role to play in successful delivery. Byfocusing on the process, discussion concentrateson meeting needs. This methodology has beentested in various scenarios and repeatedlyprovides a simple and successful comprehensiblemodel. This simple format ensures that1. True opportunities are recognized,2. Real needs versus interests are pursued, and3. All steps in the delivery process are consid-
ered.Although the model provides the framework,
other partnership factors need to be consideredin successful delivery. In studying various
projects, several issues have emerged as criticalin selecting partners, including1. Project driver: Someone from one of the
organizations must assume a leadership rolein the project. This person (or persons)should coordinate project activities and holdultimate responsibility for having eachpartner perform his or her tasks or deliverproject inputs on time and at the level ofquality required.
2. Work with “winners”: Winners tend to beself-motivated. These local partners providethe drive to keep the project going.
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, explic-itly, and openly: Common vision and goalsare keys to success. Engage all the collabo-rating organizations in the development ofproject goals and guiding principles withproactive efforts to explain the project topotential critics. Project partners shoulddefine project milestones and set up asystem for monitoring project implementationand performance.
5. Capacity building: Develop skills andconfidence to understand and promote thetechnology in 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 financialresources to carry out program activities.Money allows the implementation of good-will.
Table 13. Factors involved in ensuring research relevance.
Problem Cause(s) Options Content Process Local knowledge Modifiers/specialists/role players/role players/role considerations
Knowledge
Relevance
Delivery
Content
Process
Local
knowledge
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8. No freebees: Participants must contributesome of their own resources in some form.
9. Institutional stability and commitment:Groups must have financial, personnel, andinstitutional and organizational stability.Participating organizations must ensure “buy-in” at the top, the middle, and the bottom.Individual self-interest or egos can overrideany institutional commitment to partnerships.
10. Transaction costs: Considerable transactioncosts are involved in establishing and main-taining collaborative working relationships.
11. Private- and public-sector perspectives:Expect differences in the organizationalcultures of partners from different sectors.These differences can cause difficulties andthey need to be considered in the design ofthe project and the strategy for carrying itout. Working with the private sector typicallyintroduces a sense of urgency—one of theadvantages of such linkages.
12. Change and dealing with fallout: Whenproposing and carrying out change, it iscommon that the status quo is upset andvested interests may feel threatened.Opposition to change derives from severalmotives, such as opposition to change per se,opposition to or misunderstanding of theproject objectives or approach, or differentagendas (e.g., political or individual attacks).Recognize, also, that multi-sector partner-ships involve organizations with their ownhistories and prejudices may already exist onthe part of some critics. In formulatingproject responses to criticism, it is importantto consider the underlying motivation for thecriticism. These considerations highlight theimportance of examining (1) how to bring asmany sectors/organizations on board and (2)how to avoid unfounded or unnecessarycriticism while responding to genuine con-cerns in developing partnerships.
Bibliography
Hossain M. 1996. Recent developments in theAsian rice economy: challenges for riceresearch. In: Evenson RE, Herdt RW,Hossain M, editors. Rice research prioritiesin Asia: progress and priorities. CAB Inter-national in association with the InternationalRice Research Institute.
IRRI. 1995. World rice statistics 1993-1994. LosBaños (Philippines): International RiceResearch Institute.
World Resources. 1998. 1998-99 world re-sources: a guide to the global environment,environmental change and human health. Ajoint publication of The World ResourcesInstitute, The United Nations EnvironmentProgramme, The United Nations Develop-ment Programme, and The World Bank.Oxford (UK): Oxford University Press.
UNDP (United Nations DevelopmentProgramme). Human development report1999. Oxford (UK): Oxford UniversityPress.
To achieve impact, IRRI has to facilitate thecommunication of viable options to and with
the target group. This necessitates goodproblem and opportunity analysis, clear
identification of the beneficiaries and theirneeds and perceptions, and understanding of
effective presentation and delivery mecha-nisms. A three-part framework has been
established to facilitate this.
Web database sites
World 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/
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Appendix 1. Groupings and modes of collaborationfrom previous medium-term plan.
Group characteristics Mode and strategies of collaboration
Group 1• Usually large rice-growing countries (>2 million ha) • Major emphasis is on the development of strategic and• Well-developed national research institutions covering applied research capacities
the major rice-growing regions and ecosystems • Major mode of strengthening is research collaboration• Scientists trained to the Ph.D. level in each of the major through research consortia and bilateral NARS-IRRI
disciplines related to rice programs• Relatively long history of collaboration (>10 years) • Training emphasis is more on strategic and applied research
with IRRI in 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 by
to Ph.D. level NARS’ own capacityExamples: Bangladesh, India, China
Group 2• Usually medium to large rice-growing countries
(>500,000 ha)• Established national research institutions covering • Require a balance of activities to support strategic and
the major rice-growing regions and ecosystems applied research and the evaluation, adaptation, and delivery• Scientists trained to the M.S. level in most major of research products
disciplines related to rice• A history of collaboration with IRRI (>5 years)
in applied research areas• One or more universities that have graduate
programs to the M.S. levelExample: Vietnam
Group 3• Usually small to medium rice-growing countries
(50,000 to 2 million ha)• National research institutions newly established • Greater emphasis is placed on evaluation, adaptation, and
or not yet established for the major rice-growing delivery of research products through injection of largeregions and ecosystems bilateral donor support, which has been facilitated through
• Few scientists trained to the M.S. level in the key IRRIdisciplines related to rice • As they improve their capacities, they become members of
• Little or no history of research collaboration with IRRI research consortiaExample: Cambodia
Group 4• Small rice-growing countries (<200,000 ha) • Being distant from IRRI Los Baños, a low-cost approach is• Often distant from IRRI Los Baños being used for meeting their needs, mostly through• Have national research institutions covering participation in technology evaluation networks or regional
the major disciplines related to rice programs or networks• History of participation in INGER • For stronger NARS, IRRI Los Baños provides limited support• One or more universities that have graduate through advanced degree programs and focused upstream
programs to the M.S. level trainingExample: Cuba • Minimal personnel support from IRRI Los Baños
Group 5• Small rice-growing countries (<200,000 ha) • Being distant from IRRI Los Baños, a low-cost approach is• Often distant from IRRI Los Baños being used for meeting their needs, mostly through• National research institutions newly established participation in technology evaluation networks or regional
or not yet established for the major rice-growing programs or networksregions and ecosystems • For stronger NARS, IRRI Los Baños provides limited support
• Few scientists trained to the M.S. level in the through advanced degree programs and focused upstreamkey disciplines related to rice training
• Little or no history of research collaboration with IRRI • Minimal personnel support from IRRI Los BañosExample: Zambia
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1. Client focus. A good country-assistance strategy (CAS) is grounded in the country’s political, economic, and social
context. It starts with a discussion of country conditions and the government’s priorities and development strategy. It
includes an evaluation of the implementation and effectiveness of ongoing reform programs, their implications for
private-sector development and sustainable growth and development, and their social impact. It is carried by strong
country ownership and broad stakeholder consultation (pursued with prior general agreement of the government), but
candidly acknowledges differences between the Bank and the authorities.
2. Strategic selectivity. A good CAS is the central vehicle for making strategic choices in country program design and
Bank resource allocation, with the objective of maximizing development impact. This involves (i) assessing the relative
magnitude and likelihood of the impact of alternative Bank group activities on the ground; (ii) taking into account the
Bank’s comparative advantage vis-à-vis others, track record, costs, and risks; and (iii) prioritizing activities across and
within sectors and by instruments (product mix) accordingly.
3. Poverty focus. A good CAS includes a high-quality diagnosis of the profile and causes of poverty. It links the proposed
Bank program clearly to the poverty assessment and explains how key lending and nonlending services contribute to
poverty reduction.
4. Macroeconomic and external framework. A good CAS is based on a strong analysis of macroeconomic performance,
prospects, and risks. It discusses the external environment and implications for the country’s development agenda and
vulnerability and the Bank program.
5. Governance and institutions. A good CAS diagnoses governance/corruption, institutional effectiveness, and
implementation capacity issues and, where relevant, addresses them in the proposed Bank lending or nonlending
program.
6. Self-evaluation and lessons from experience. A good CAS includes a frank discussion of the track record of Bank
involvement, a thorough and candid portfolio analysis, and “lessons learned.” It fully integrates findings from the
Operations 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 coordination and collaboration with
external partners (IMF, multilateral development banks, bilaterals, private sector, NGOs, etc.). It includes a Bank lending
and nonlending program and involves a division of labor with others in line with the comparative advantage of the Bank
and its partners in supporting the client country.
8. Collaboration within Bank group. A good CAS integrates an IBRD/IDA strategy into a consistent overall Bank group
strategy, within which IBRD/IDA, International Finance Corporation (IFC), and Multilateral Investment Guarantee Agency
(MIGA) operations complement each other in promoting private-sector development.
9. Bank program scenarios, triggers, and monitoring indicators. A good CAS includes (i) well-differentiated scenarios for
Bank assistance (low, base, high case), with a strong link between performance and aid effectiveness and the level of
Bank support; (ii) specific, monitorable triggers for switching between scenarios that focus on key reform challenges;
and (iii) clear, monitorable indicators for evaluating the development effectiveness of the Bank program.
10. Risks. A good CAS thoroughly treats risks to the country (economic-financial, both domestic and external, political,
social, and environmental) and to the Bank (exposure/financial as well as reputational), proposes risk mitigation
measures, and candidly recognizes the risk to the Bank.
Appendix 2. Ten features of a good country-assistance strategy.(from World Bank: http://www.worldbank.org/html/pic/cas/tenfeat.htm)