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Using this dataset and the relationships hypothesized above, I estimate two
estimationmodels for total village agricultural area and cultivation intensity:29
LogAgriculturalAreað Þjit¼ai0þai1Log Populationð Þjt
þ ai2Log Travel time
tomarketð
Þjtþai3 Wateravailabilitydummyð
Þjit
þ ai4 Acid soil
dummyð Þjitþai5 Property
rightsdummyð Þjt
þ ai6 BAACusedummyð Þþai7 Proportionof adult
populationð Þjtai7Time trend
þ u*jiþεjit
Intensityof cultivationjit¼ai0þai1Log Populationð Þjt
þ ai2Log Travel time
tomarketð
Þjtþai3 Wateravailabilitydummyð
Þjit
þ ai4 Acid soil
dummyð Þjitþai5 Property
rightsdummyð Þjt
þ ai6 BAACusedummyð Þþai7 Proportionof adult
populationð Þjtai7Time trend
þ u*jiþεjit
8.5 Results
Results are analyzed in twoways. First, I examine the effect of different crops on
total agricultural area. Tables 8.5 and 8.6 discuss results from these equations.
Second, I examine howpolicy variables affect overall agricultural area and inten-
sity of cultivation.
Iuse randomeffectsmodels inTables8.6and8.7, toestimate theeffectof these
variables on agricultural area and intensity of cultivation:
Table8.6showsthatan increase invillageagricultural landisassociatedwithan
increase in areadevoted topaddy rice (coefficient¼0.46; z¼7.8)andupland rice
(coefficient¼ 0.21; z¼2.36). On the other hand, an increase in area devoted to
soybean is not: Villages that grow Soybean are likely to be those that have little
agricultural land,andcanonlycultivate intensively.Speakingwithagriculturalists,
this isexpected:Soybeanisaninput intensivecashcropandisusuallycultivatedon
landthat isfertilizerrichandinputrich.Table8.7showsthatanincreasein intensity
of cultivation is associatedwith an increase in area devoted to Soybean (0.01399;
z¼3.76) and Paddy rice (0.0037; z¼1.95). Upland rice area does not contribute
significantly to increasing cultivation intensity (measured by the number of crops
grown on a plot of land in a year). This too is expected. Observational data and
conversationswith folksat theuniversity reveal thatupland rice isgrownonforest
frontiers, and typically on land with low fertility that is vulnerable to erosion.
29Where u ji is distributed normally and is the unobserved influence of the village on repeated
observations.εjit is theunobservederror termalsodistributednormallywithmean0andvariance
σ2ε. For each of these equations, to account forBAACcredit use being endogenous, I estimate a
first stage random effects equation to get the predicted value for BAAC credit use. To model
BAAC credit use, for each of the equations above, I estimate the following random effects
equation, which includes all exogenous variables in the system, including the three identifying
instruments.
144 J. Puri
Evaluating Climate Change Action for Sustainable Development
- Title
- Evaluating Climate Change Action for Sustainable Development
- Authors
- Juha I. Uitto
- Jyotsna Puri
- Rob D. van den Berg
- Publisher
- Springer Open
- Date
- 2017
- Language
- German
- License
- CC BY-NC 3.0
- ISBN
- 978-3-319-43702-6
- Size
- 15.5 x 24.1 cm
- Pages
- 365
- Keywords
- Climate Change, Sustainable Development, Climate Change/ Climate Change Impacts, Environmental Management
- Categories
- Naturwissenschaften Umwelt und Klima