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Modelling US light pollution

delete2013-05-14
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PRE
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R
Reed Neil Olsen *
D
David M. Mitchell
DOI:10.1080/09640568.2013.774268delete
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摘要

摘要

En 中文
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.
Keyword:
light pollution
population
economic development
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期刊

Journal of Environmental Planning and Management 封面图
Journal of Environmental Planning and Management
IF:
3.6
论文数:
2.1K
被引数:
6.0K

机构

M
Missouri State University
学者数:
977
论文数: 837
被引数: 947
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