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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
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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
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