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TRADEOFFS BETWEEN RURAL DEVELOPMENT POLICIES AND FOREST PROTECTION: SPATIALLY-EXPLICIT MODELING IN THE CENTRAL HIGHLANDS OF VIETNAM AgEcon
Mueller, Daniel; Munroe, Darla K..
Alleviating rural poverty remains an important objective of development policy in many areas of the world. However, traditional means of increasing rural livelihoods such as increased investments in agricultural intensification measures can have disastrous impacts on natural resources such as forests by greatly increasing incentives for clearing. This paper contains a spatially-explicit model of land use in the Dak Lak province in the Central Highlands of Vietnam. Land use is modeled using a reduced-form multinomial logit model, and policy simulations are conducted. These simulations demonstrate that the adoption of yield-increasing inputs requires concomitant forest protection policies, both in terms of forest area and spatial configuration.
Tipo: Conference Paper or Presentation Palavras-chave: International Development.
Ano: 2004 URL: http://purl.umn.edu/20264
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Stata in space: Econometric analysis of spatially explicit raster data AgEcon
Mueller, Daniel.
Realizing the importance of location, economists are increasingly adopting spatial analytical and spatial econometric perspectives to study questions such as the geographical targeting of policy interventions, regional agglomeration effects, the diffusion of technologies across space, or causes and consequences of land-cover change. Explicitly accounting for location in econometric estimations can be of great benefit for researchers working at the interface of economics or environmental sciences and geography. The objective of this article is to demonstrate how spatially explicit raster data derived from standard geographical information system (GIS) software can be used within Stata. Three programs implemented as ado-files are presented. These import...
Tipo: Journal Article Palavras-chave: Ras2dta; Spatsam; Dta2ras; Geographical information systems (GIS); Raster data; Spatial modeling; Spatial econometrics; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117514
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