By Parvesh Kumar Chandna, Andy Nelson, Sohel Rana, Marie-Charlotte Buisson, Sam Mohanty, Nazneed Sultana, Deepak Sethi, T.P. Tuong Revitalizing the Ganges Coastal Zone Conference 21-23 October 2014, Dhaka, Bangladesh http://waterandfood.org/ganges-conference/

1. Poten&al
technology
adop&on
Index
for
improved
targe&ng
:
IRRI
CPWF
Team
:
Parvesh
Kumar
Chandna,
Andy
Nelson,
Sohel
Rana,
Marie-­‐Charlo:e,
Sam
Mohanty
Nazneen
Sultana,
Deepak
Sethi,
T.P.
Tuong
A
village
level
proxy
assessment
using
the
past
adop&on
rates
of
agricultural
technologies

2. ?
?
?
?
?
?
Village
level
census
data
is
there
Some
farmers
have
adopted
improved
technologies
in
the
past
But
some
did
not
?
Can
I
use
past
trends?
Perhaps
yes
–
Lets
Discuss
with
CPWF/WLE
team
Adop(on
Targets
100000????
Why
not
to
conduct
a
quick
and
dirty
exercise

3.
Objec(ve
:
To
develop
a
proxy
index
to
iden(fy
areas
having
high
poten(al
for
adop(on
of
new
technologies
using
the
past
adop(on
rates
and
farmer
response
to
different
technologies
IRRI

4.
v
Study
Area
v
Datasets
used
v
Methods
v
Results
v
Conclusion
IRRI

5. Bangladesh
Barisal
IRRI

6. Datasets
&
Parameters
used
•
Agricultural
(2008)
and
Popula(on
census
data
(2011)
•
Developed
a
mouza
level
database
of
more
than
61,000
mouzas
of
Bangladesh
•
We
have
entered
more
than
60
parameters
to
develop
this
socio-­‐economic
database
• Irriga(on
Pumps,
Tractor,
Power
(ller,
Paddy
thrasher,
Seeder,
Other
Agri.
Instrument,
percent
area
under
HYVs
in
AUS,
Aman,
Boro
–
12
parameters
IRRI

7. Datasets:
few
examples
Pumping
sets
Power
(llers
HYVs

8. Methods
PTAI
uses
composites
of
Standard
Z
score
to
logically
combine
the
selected
parameters
Composite
Standard
Score
Classes
Low
=
<
0.5
Medium
=
-­‐0.5-­‐0.5
High
=
0.5-­‐
1.5
Very
High
=
>
1.5

9. Poten&al
Technology
Adop&on
Index
Z
score
values
GIS
Lab,
SSD,
IRRI-­‐
Parvesh
Kr
Chandna@2014
–
Unpublished
IRRI
Farmers
from
623
villages
(out
of
3523
villages),
are
fast
adaptor
to
new
technologies,
covering
an
area
of
2,00,000
ha
Results…

10. Conclusion
PTAI,
a
proxy
index
can
be
a
very
handy
tool
in
absence
of
detailed
bio-­‐physical
datasets
PTAI
can
be
used
for
quick
dissemina(on
In
favourable
area
where
score
is
high
or
very
high.
Composite
Index
of
Ex.
Domains+PTAI
will
further
improve
the
chances
of
improved
targe(ng
Further
study
is
needed
to
validate
and
improve
the
Index

11. Thank you