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Simulating the Spatial Distribution of Population and Emissions to 2100

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dc.contributor.author Asadoorian, Malcolm O.
dc.date.accessioned 2005-06-10T15:13:37Z
dc.date.available 2005-06-10T15:13:37Z
dc.date.issued 2005-05
dc.identifier.issn http://mit.edu/globalchange/www/abstracts.html#a123
dc.identifier.uri http://hdl.handle.net/1721.1/18092
dc.description Abstract in HTML and technical report in PDF available on the Massachusetts Institute of Technology Joint Program on the Science and Policy of Global Change website (http://mit.edu/globalchange/www/). en
dc.description.abstract Urbanization and economic development have important implications for many environmental processes including global climate change. Although there is evidence that urbanization depends endogenously on economic variables, long-term forecasts of the spatial distribution of population are often made exogenously and independent of economic conditions. A beta distribution for individual countries/regions is estimated to describe the geographical distribution of population using a 1° x 1° latitude-longitude global population data set. Cross-sectional country/regional data are then used to estimate an empirical relationship between parameters of the beta distribution and macroeconomic variables as they vary among countries/regions. This conditional beta distribution allows the simulation of a changing distribution of population, including the growth of urban areas, driven by economic forecasts until the year 2100. en
dc.format.extent 1051783 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher MIT Joint Program on the Science and Policy of Global Change en
dc.relation.ispartofseries ;Report no. 123
dc.subject population distribution en
dc.subject spatial econometric en
dc.subject urbanization en
dc.title Simulating the Spatial Distribution of Population and Emissions to 2100 en
dc.identifier.citation Report no. 123 en


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