Modelling US light pollution

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.

[1]  John A. List,et al.  Have air pollutant emissions converged among U.S. regions? Evidence from unit root tests , 1999 .

[2]  Joseph E. Aldy,et al.  Divergence in State-Level Per Capita Carbon Dioxide Emissions , 2006, Land Economics.

[3]  Modelling the spectral behaviour of night skylight close to artificial light sources , 2010 .

[4]  Andrés J. Picazo‐Tadeo,et al.  Farmers' costs of environmental regulation: Reducing the consumption of nitrogen in citrus farming , 2007 .

[5]  C. Elvidge,et al.  Night-time lights of the world: 1994–1995 , 2001 .

[6]  Pavlos S. Kanaroglou,et al.  Modeling NOx and NO2 emissions from mobile sources: A case study for Hamilton, Ontario, Canada , 2008 .

[7]  R. Stevens,et al.  Night shift work, light at night, and risk of breast cancer. , 2001, Journal of the National Cancer Institute.

[8]  J. Henderson,et al.  A Bright Idea for Measuring Economic Growth. , 2011, The American economic review.

[9]  M. Aube,et al.  Light pollution modelling and detection in a heterogeneous environment: toward a night-time aerosol optical depth retreival method , 2005, SPIE Optics + Photonics.

[10]  F. Wirl Energy Prices and Carbon Taxes under Uncertainty about Global Warming , 2007 .

[11]  C. Elvidge,et al.  Limiting the impact of light pollution on human health, environment and stellar visibility. , 2011, Journal of environmental management.

[12]  Faculteit Economie,et al.  The EKC for SO 2 : does firm size matter? , 2004 .

[13]  Michael B. Ward,et al.  Mercury advisories: Information, education, and fish consumption , 2007 .

[14]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[15]  M. Holderied,et al.  Differential effects of artificial lighting on flight and foraging behaviour of two sympatric bat species in a desert , 2011 .

[16]  B. Kempenaers,et al.  Artificial Night Lighting Affects Dawn Song, Extra-Pair Siring Success, and Lay Date in Songbirds , 2010, Current Biology.

[17]  Jennifer Murdock,et al.  Handling unobserved site characteristics in random utility models of recreation demand , 2006 .

[18]  Boulder,et al.  The first World Atlas of the artificial night sky brightness , 2001, astro-ph/0108052.

[19]  Reed Olsen,et al.  The economics of global light pollution , 2010 .

[20]  Christoph Aubrecht,et al.  Remote sensing to map influence of light pollution on Cory’s shearwater in São Miguel Island, Azores Archipelago , 2011, European Journal of Wildlife Research.

[21]  Jari Lyytimäki,et al.  Unawareness in environmental protection: The case of light pollution from traffic , 2012 .

[22]  P. Sutton,et al.  Estimation of Gross Domestic Product at Sub-National Scales using Nighttime Satellite Imagery , 2007 .

[23]  M. Salmon,et al.  BEHAVIOR OF LOGGERHEAD SEA TURTLES ON AN URBAN BEACH. II: HATCHLING ORIENTATION , 1995 .

[24]  W. Nordhaus,et al.  Using luminosity data as a proxy for economic statistics , 2011, Proceedings of the National Academy of Sciences.

[25]  P. Murdin MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY , 2005 .

[26]  M. Bleaney,et al.  Economic growth and income inequality , 2002 .

[27]  C. Elvidge,et al.  Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .

[28]  K. Bjorndal,et al.  Influences of artificial lighting on the seaward orientation of hatchling loggerhead turtles Caretta caretta , 1991 .

[29]  B. Psiloglou,et al.  Modelling of light pollution in suburban areas using remotely sensed imagery and GIS. , 2006, Journal of environmental management.

[30]  Henry D. Jacoby,et al.  Simulating the Spatial Distribution of Population and Emissions to 2100 , 2005 .

[31]  Travis Longcore,et al.  Ecological consequences of artificial night lighting , 2006 .

[32]  Budhendra L. Bhaduri,et al.  Who's In The Dark: Satellite Based Estimates Of Electrification Rates , 2011 .

[33]  T. Gallaway On Light Pollution, Passive Pleasures, and the Instrumental Value of Beauty , 2010 .

[34]  R. Nelson,et al.  The dark side of light at night: physiological, epidemiological, and ecological consequences , 2007, Journal of pineal research.

[35]  C. Murray,et al.  From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery , 2005, International journal of health geographics.

[36]  H. Campbell,et al.  Aviation Noise and Environmental Justice: The Barrio Barrier , 2007 .

[37]  A. Font Mass tourism and the demand for protected natural areas: a travel cost approach. , 2000 .

[38]  Bruno Merlevede,et al.  The EKC for SO2: Does firm size matter? , 2006 .

[39]  F. J. Verheijen,et al.  Photopollution: artificial light optic spatial control systems fail to cope with. Incidents, causation, remedies. , 1985, Experimental biology.

[40]  Christian Wolter,et al.  Light pollution as a biodiversity threat. , 2010, Trends in ecology & evolution.

[41]  M. Salmon,et al.  Artificial Lighting and Seafinding by Loggerhead Hatchlings: Evidence for Lunar Modulation , 1995 .

[42]  M. Walker THE EFFECTS OF URBAN LIGHTING ON THE BRIGHTNESS OF THE NIGHT SKY. , 1977 .

[43]  Jin Chen,et al.  Modelling the population density of China at the pixel level based on DMSP/OLS non‐radiance‐calibrated night‐time light images , 2009 .

[44]  W. Brock,et al.  The Green Solow model , 2004 .

[45]  Fran Tabor,et al.  That Environmental Influence , 1978 .

[46]  S. French,et al.  Regional impervious surface estimation: an urban heat island application , 2009 .

[47]  W. Baumol,et al.  The Use of Standards and Prices for Protection of the Environment , 1971 .

[48]  Leslie E. Papke,et al.  Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates , 1993 .

[49]  T. Ryerson,et al.  Nighttime photochemistry: nitrate radical destruction by anthropogenic light sources , 2010 .

[50]  F. C. Bertiau,et al.  The artificial night-sky illumination in Italy. , 1973 .

[51]  Verheijen Fj,et al.  Photopollution: artificial light optic spatial control systems fail to cope with. Incidents, causation, remedies. , 1985 .

[52]  T. Panayotou Economic Growth and the Environment , 2000 .

[53]  Airam Rodríguez,et al.  Factors affecting mortality of shearwaters stranded by light pollution , 2012 .

[54]  N. Holmes,et al.  Modeling artificial light viewed by fledgling seabirds , 2011 .

[55]  P. Heilig,et al.  Light pollution , 2010, Spektrum der Augenheilkunde.

[56]  S. Isobe,et al.  Light Pollution and its Energy Loss , 2000 .