The effects of payments for ecosystem services on human well-being and land use in upland Yunnan

tripastroturfAI and Robotics

Nov 7, 2013 (3 years and 7 months ago)

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The effects of payments for ecosystem service
s


on human well
-
being and land use in upland Yunnan


China has initiated some of the largest programs of payments for ecosystem services in the
world. This project assesses two such programs,
namely
the
Slopin
g Land Conversion
Program
and the Natural Forest Conservation Program,
in
the
ir

contribution to
human well
-
being and land use in Yunnan.
The overall objective is to suggest improved options for
the
targeting of
the two programs
that achieve
environmentall
y and

economically superior
outcomes. To
accomplish this
, we propose to collect
household
survey
data
to
obtain
quantitative evidence on the extent of participation in the programs and the returns to
participation
.

Well
-
being will be proxied
with
key ind
icators
from the household data
that
reflect

health, education, and
capital assets.
The household data will be augmented with
village and commune interviews with officials and stakeholders on program participation
rates and program expense.
The analysis o
f satellite images will
generate spatially explicit
estimates about the main historic
land
cover
changes in the study area.
N
atural endowments
of the households are measured
using
spatially explicit data on topography and physical
accessibility

in combina
tion with survey information
on land use
.


Data integration will be done
with
Bayesian networks that allow
to simultaneously analyze

qualitative and quantitative data
from different sources and different spatial scales
.

The
Bayesian networks serve to de
termine the direction and strengths of the factors that influence
the
participation

of villages and household within villages
in the payment programs.
The
network
s

will further help characterizing the degree of participation

of each

individual
ho
u
s
ehold
.

In addition, the outputs
form the B
ayesian

networks
allow assessing the
effect
s

of
participation on household income

and the changes in land use strategies in response to
participation
.

In a next step we
use the networks to
simulate a range of qualitativ
e scenarios
that mirror different strategies of program targeting. One such scenario could emulate
a higher
emphasize

on thematic targeting on, e.g., poorer population subgroups or on areas that
en
compass particularly high natural

value
s
.