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Author (up) Olsen, R.N.; Gallaway, T.; Mitchell, D. url  doi
  Title Modelling US light pollution Type Journal Article
  Year 2014 Publication Journal of Environmental Planning and Management Abbreviated Journal Journal of Environmental Planning and Management  
  Volume 57 Issue 6 Pages 883-903  
  Keywords Remote Sensing; Economics; Economic development; population  
  Abstract This paper uses a unique US dataset to study the economic causes of light pollution at the local (county) level. Light pollution has been shown to have negative consequences for both wildlife and humans. Light pollution is a form of pollution commonly ignored by environmental professionals. Traditionally, light-pollution models focus on population-based explanations. This paper confirms the importance of population in understanding light pollution. However, the results highlight the importance of economic variables, especially local economic development, in explaining the existence and extent of light pollution. Estimated models show, for example, that local employment patterns, personal income, roads and energy use are all important explanatory variables. By highlighting the connections between light pollution and specific types of local economic activity, this paper provides policy makers with additional information that they can use to improve public policies intended to safeguard the environment and local wildlife.  
  Address Department of Economics, Missouri State University, 901 South National Avenue, Springfield, MO 65897, USA; reedolsen(at)  
  Corporate Author Thesis  
  Publisher Taylor & Francis Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0964-0568 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ schroer @ Serial 580  
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