| Records |
| Author |
Simpson, S.N.; Hanna, B.G. |
| Title |
Willingness to pay for a clear night sky: use of the contingent valuation method |
Type |
Journal Article |
| Year |
2010 |
Publication |
Applied Economics Letters |
Abbreviated Journal |
Applied Economics Letters |
| Volume |
17 |
Issue |
11 |
Pages |
1095-1103 |
| Keywords |
economics; contingent valuation method; light pollution |
| Abstract |
This article applies the Contingent Valuation Method (CVM) to the issue of night sky pollution. Light pollution decreases the ability to view a clear, unobstructed night sky. We administered a survey to the students of the Rochester Institute of Technology (RIT) to obtain estimates of Willingness To Pay (WTP) to improve night sky visibility and to prevent deterioration in visibility. This is the first CVM study that attempts to distinguish between these different WTPs. We find that students are willing to pay significantly more for a larger improvement in night sky conditions. We also find significant differences in WTP to improve versus prevent deterioration in night sky conditions. |
| Address |
|
Corporate Author  |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
1350-4851 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
121 |
| Permanent link to this record |
| |
|
| |
| Author |
Chen, X.; Nordhaus, W.D. |
| Title |
Using luminosity data as a proxy for economic statistics |
Type |
Journal Article |
| Year |
2011 |
Publication |
Proceedings of the National Academy of Sciences of the United States of America |
Abbreviated Journal |
Proc Natl Acad Sci U S A |
| Volume |
108 |
Issue |
21 |
Pages |
8589-8594 |
| Keywords |
Developing Countries/history/*statistics & numerical data; *Extraterrestrial Environment; History, 20th Century; History, 21st Century; *Light; Methods; *Research Design; Socioeconomic Factors/*history |
| Abstract |
A pervasive issue in social and environmental research has been how to improve the quality of socioeconomic data in developing countries. Given the shortcomings of standard sources, the present study examines luminosity (measures of nighttime lights visible from space) as a proxy for standard measures of output (gross domestic product). We compare output and luminosity at the country level and at the 1 degrees latitude x 1 degrees longitude grid-cell level for the period 1992-2008. We find that luminosity has informational value for countries with low-quality statistical systems, particularly for those countries with no recent population or economic censuses. |
| Address |
Department of Economics, Yale University, New Haven, CT 06520, USA. xi.chen@yale.edu |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0027-8424 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
PMID:21576474; PMCID:PMC3102367 |
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
122 |
| Permanent link to this record |
| |
|
| |
| Author |
Elvidge, C.D.; Sutton, P.C.; Ghosh, T.; Tuttle, B.T.; Baugh, K.E.; Bhaduri, B.; Bright, E. |
| Title |
A global poverty map derived from satellite data |
Type |
Journal Article |
| Year |
2009 |
Publication |
Computers & Geosciences |
Abbreviated Journal |
Computers & Geosciences |
| Volume |
35 |
Issue |
8 |
Pages |
1652-1660 |
| Keywords |
Poverty; DMSP; Nighttime lights; World development indicators; light pollution |
| Abstract |
A global poverty map has been produced at 30 arcsec resolution using a poverty index calculated by dividing population count (LandScan 2004) by the brightness of satellite observed lighting (DMSP nighttime lights). Inputs to the LandScan product include satellite-derived land cover and topography, plus human settlement outlines derived from high-resolution imagery. The poverty estimates have been calibrated using national level poverty data from the World Development Indicators (WDI) 2006 edition. The total estimate of the numbers of individuals living in poverty is 2.2 billion, slightly under the WDI estimate of 2.6 billion. We have demonstrated a new class of poverty map that should improve over time through the inclusion of new reference data for calibration of poverty estimates and as improvements are made in the satellite observation of human activities related to economic activity and technology access. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0098-3004 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
123 |
| Permanent link to this record |
| |
|
| |
| Author |
Doll, C.N.H.; Muller, J.-P.; Morley, J.G. |
| Title |
Mapping regional economic activity from night-time light satellite imagery |
Type |
Journal Article |
| Year |
2006 |
Publication |
Ecological Economics |
Abbreviated Journal |
Ecological Economics |
| Volume |
57 |
Issue |
1 |
Pages |
75-92 |
| Keywords |
Night-time light satellite imagery; Economic activity; Geographic information; Mapping; Scale |
| Abstract |
The recognition that the elements of the ‘anthropocene’ play a critical role in global change processes means that datasets describing elements of the socio-economic environment are becoming increasingly more desirable. The ability to present these data in a gridded format as opposed to the traditionally reported administrative units is advantageous for incorporation with other environmental datasets. Night-time light remote sensing data has been shown to correlate with national-level figures of Gross Domestic Product (GDP). Night-time radiance data is analysed here along with regional economic productivity data for 11 European Union countries along with the United States at a number of sub-national levels. Night-time light imagery was found to correlate with Gross Regional Product (GRP) across a range of spatial scales. Maps of economic activity at 5 km resolution were produced based on the derived relationships. To produce these maps, certain areas had to be excluded due to their anomalously high levels of economic activity for the amount of total radiance present. These areas were treated separately from other areas in the map. These results provide the first detailed examination of night-time light characteristics with respect to local economic activity and highlight issues, which should be considered when undertaking such analysis. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0921-8009 |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
124 |
| Permanent link to this record |
| |
|
| |
| Author |
Ebener, S.; Murray, C.; Tandon, A.; Elvidge, C.C. |
| Title |
From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery |
Type |
Journal Article |
| Year |
2005 |
Publication |
International Journal of Health Geographics |
Abbreviated Journal |
Int J Health Geogr |
| Volume |
4 |
Issue |
1 |
Pages |
5 |
| Keywords |
poverty; remote sensing; light pollution |
| Abstract |
BACKGROUND: Sub-national figures providing information about the wealth of the population are useful in defining the spatial distribution of both economic activity and poverty within any given country. Furthermore, since several health indicators such as life expectancy are highly correlated with household welfare, sub-national figures allow for the estimation of the distribution of these health indicators within countries when direct measurement is difficult.We have developed methods that utilize spatially distributed information, including night-time light imagery and population to model the distribution of income per capita, as a proxy for wealth, at the country and sub-national level to support the estimation of the distribution of correlated health indicators. RESULTS: A first set of analysis are performed in order to propose a new global model for the prediction of income per capita at the country level. A second set of analysis is then confirming the possibility to transfer the country level approach to the sub-national level on a country by country basis before underlining the difficulties to create a global or regional models for the extrapolation of sub-national figures when no country data set exists. CONCLUSIONS: The methods described provide promising results for the extrapolation of national and sub-national income per capita figures. These results are then discussed in order to evaluate if the proposed methods could not represent an alternative approach for the generation of consistent country specific and/or global poverty maps disaggregated to some sub-national level. |
| Address |
Evidence and Information for Policy, World Health Organization, Av, Appia 20, 1211 Geneva 27, Switzerland. ebeners@who.int |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
1476-072X |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
PMID:15705196; PMCID:PMC549533 |
Approved |
no |
| Call Number |
IDA @ john @ |
Serial |
125 |
| Permanent link to this record |
