SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

We propose an information-theoretic approach to assess the performance of a discrete choice model used to analyze land use and land use change. We show that our disaggregated measure can be used to compare robustness of predictions across land use categories and across models. Furthermore, a proper reformulation of the problem shows that a disaggregated (observation by observation) log-likelihood lends itself to an information theoretic interpretation, which allows comparisons performance across models.

The Economics of Desertification, Land Degradation, and Drought; Toward an Integrated Global Assessment

Palavras-chave: Land Economics/Use.

Ano: 2006

URL: http://purl.umn.edu/21307

Nkonya, Ephraim M.; Gerber, Nicolas; Baumgartner, Philipp; von Braun, Joachim; De Pinto, Alessandro; Graw, Valerie; Kato, Edward; Kloos, Julia; Walter, Teresa.

Land degradation has not been comprehensively addressed at the global level or in developing countries. A suitable economic framework that could guide investments and institutional action is lacking. This study aims to overcome this deficiency and to provide a framework for a global assessment based on a consideration of the costs of action versus inaction regarding desertification, land degradation, and drought (DLDD). Most of the studies on the costs of land degradation (mainly limited to soil erosion) give cost estimates of less than 1 percent up to about 10 percent of the agricultural gross domestic product (GDP) for various countries worldwide. But the indirect costs of DLDD on the economy (national income), as well as their socioeconomic consequences...

Tipo: Working or Discussion Paper

Palavras-chave: Agricultural Finance; Crop Production/Industries; Environmental Economics and Policy; Land Economics/Use; Resource /Energy Economics and Policy.

Ano: 2011

URL: http://purl.umn.edu/109326

A DYNAMIC MODEL OF LAND USE CHANGE WITH SPATIALLY EXPLICIT DATA

A discrete choice dynamic model was used to predict land use change for an area in Panama. Our results show not only that our modeling technique performs better than static models, but it is also superior to previous attempts to model land use change in a dynamic fashion.

Modeling Land Use Allocation with Mixed-Level Data: An Econometric Analysis for the Democratic Republic of the Congo

Palavras-chave: Land Economics/Use.

Ano: 2004

URL: http://purl.umn.edu/20314

Li, Man; De Pinto, Alessandro; You, Liangzhi; Ulimwengu, John M.; Robertson, Richard D..

CORRECTING FOR SPATIAL EFFECTS IN LIMITED DEPENDENT VARIABLE REGRESSION: ASSESSING THE VALUE OF "AD-HOC" TECHNIQUES

Palavras-chave: Land Economics/Use.

Ano: 2011

URL: http://purl.umn.edu/103694

A common test for spatial dependence in regression analysis with continuous dependent variables is the Moran's I. For limited dependent variable models, the standard definition of a residual breaks down because yi is qualitative. Efforts to correct for potential spatial effects in limited dependent variable models have relied on ad-hoc methods such as including a spatial lag variable or using a regular sample that omits neighboring observations. Kelejian and Prucha have recently developed a version of Moran's I for limited dependent variable models. We present the statistic in a more accessible way and use it to test the value of previously-used ad-hoc techniques with a specific data set. Keywords: Morans I, Spatial Autocorrelation, Limited Dependent...

Modeling Deforestation and Land Use Change: Sparse Data Environments

Palavras-chave: Moran's I; Spatial Autocorrelation; Limited Dependent Variable Models; Land-Use Change; Geographical Information Systems (GIS); Research Methods/ Statistical Methods.

Ano: 2002

URL: http://purl.umn.edu/19782

Land use change in developing countries is of great interest to policymakers and researchers from many backgrounds. Concerns about consequences of deforestation for global climate change and biodiversity have received the most publicity, but loss of wetlands, declining land productivity, and watershed management are also problems facing developing countries. In developing countries, analysis is especially constrained by lack of data. This paper reviews modeling approaches for data-constrained environments that involve methods such as neural nets and dynamic programming and research results that link individual household survey data with satellite images using geographic positioning systems.

ADOPTION OF CARBON-SEQUESTERING PRACTICES IN DEVELOPING COUNTRIES AND RISK-AVERSE FARMERS

Palavras-chave: Land Economics/Use; Q15; Q23; R14.

Ano: 2006

URL: http://purl.umn.edu/25723

De Pinto, Alessandro; Robertson, Richard D..