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Registros recuperados: 5
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U.S. State-Level Carbon Dioxide Emissions: A Spatial-Temporal Econometric Approach of the Environmental Kuznets Curve AgEcon
Burnett, J. Wesley; Bergstrom, John C..
One of the major criticisms of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential...
Tipo: Working or Discussion Paper Palavras-chave: Environmental Kuznets Curve; Carbon Dioxide; Spatial Econometrics; Panel Data Econometrics; Time Series Analysis; Environmental Economics; Pollution Economics; Environmental Economics and Policy; Q50; Q53; Q43; C01; C33.
Ano: 2010 URL: http://purl.umn.edu/96031
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Geographical Distribution of Crime in Italian Provinces: A Spatial Econometric Analysis AgEcon
Cracolici, Maria Francesca; Uberti, Teodora Erika.
For a long time social sciences scholars from different fields have devoted their attention to identifying the causes leading to commit criminal offences and recently lots of studies have included the analysis of spatial effects. Respect to the Italian crime phenomenon some stylized facts exist: high spatial and time variability and presence of “organised crime” (e.g. Mafia and Camorra) deep-seated in some local territorial areas. Using explanatory spatial data analysis, the paper firstly explores the spatial structure and distribution of four different typologies of crimes (murders, thefts, frauds, and squeezes) in Italian provinces in two years, 1999 and 2003. ESDA allows us to detect some important geographical dimensions and to distinguish crucial...
Tipo: Conference Paper or Presentation Palavras-chave: Crime; Spatial Econometrics; Labor and Human Capital; C21; K42.
Ano: 2008 URL: http://purl.umn.edu/6381
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A Spatiotemporal Fixed Effects Estimation of U.S. State-Level Carbon Dioxide Emissions AgEcon
Burnett, J. Wesley; Bergstrom, John C..
One of the major shortcommings of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential...
Tipo: Conference Paper or Presentation Palavras-chave: Pollution Economics; Environmental Kuznets Curve; Spatial Econometrics; Dynamic Panel Data; Carbon Dioxide Emissions; Global Climate Change; Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; C33; C51; Q43; Q50; Q53; Q58.
Ano: 2011 URL: http://purl.umn.edu/103580
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Innovative Behavior and Spatial Location - Using Patent Counts and Geographic Location To Estimate Innovative Spillins AgEcon
Miranowski, John A.; Monchuk, Daniel C..
In this paper we examine the relation between geographic location and innovative behavior. Knowledge spillins, as opposed to knowledge spillovers, are modeled as an externality which exists between geographically close economic agents and enters the representative inventor production function explicitly from neighboring regions. To proxy new innovative behavior and new knowledge generated we use counts of patent filings per county. The proposed geographic spillin is tested for the US Midwestern States of Iowa, Minnesota, Missouri, Kansas, Nebraska, South Dakota and North Dakota using a newly constructed data set and implementing spatial statistical methods. The data set is comprised of primary inventor utility patent filings per county for the years...
Tipo: Working or Discussion Paper Palavras-chave: Patents; Spatial Econometrics; Innovative Spillins; Research and Development/Tech Change/Emerging Technologies.
Ano: 2004 URL: http://purl.umn.edu/18226
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Modelling the Spatial Structure of Pig Production in Denmark AgEcon
Larue, Solene; Abildtrup, Jens; Schmitt, Bertrand.
In Denmark, the concentration of pig production is highest in the western part of the country. However, there may be even larger local differences in the number of pigs produced. In this study we analyze the determinants of the location of pig production in Denmark with particular focus on spatial externalities and the interaction between the location of pig production and upstream sector and slaughterhouses. It is the assumption that the location of slaughterhouses is influenced by the location of the primary producers, implying that this variable is endogenous, whereas the location of primary producers is independent of the location of slaughterhouses. This is due to the fact that transportation costs of pigs are paid by the cooperatives owning the...
Tipo: Conference Paper or Presentation Palavras-chave: Agglomeration; Externalities; Spatial Econometrics; Polluted Production; Livestock Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/44281
Registros recuperados: 5
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