Exploring spatial patterns of carbon emissions in the USA: a geographically weighted regression approach

Autor:	Julio Videras
Rok vydání:	2014
Předmět:	education.field_of_study Population Environmental Science (miscellaneous) Regression Geographically Weighted Regression Spatial heterogeneity Geography Regional variation Greenhouse gas Econometrics Spatial ecology Spatial variability education Demography
Zdroj:	Population and Environment. 36:137-154
ISSN:	1573-7810 0199-0039
DOI:	10.1007/s11111-014-0211-6
Popis:	This paper uses US county-level data and the Stochastic Impacts by Regression on Population, Affluence, and Technology framework to explore the extent of geographical variability in the process that links total emissions of carbon dioxide to measures of population, affluence, and technology. Geographically weighted regression models show that there is strong evidence of spatial heterogeneity in the estimated elasticities of emissions. While this research cannot explain these regional patterns, it may provide a useful starting point to examine in detail the nature of regional variation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a6f6392728c93043ff2ada13b1c4cf42 https://doi.org/10.1007/s11111-014-0211-6 Zobrazit plný text záznamu Full text from SpringerLink