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Author Omar, N. S., & Ismal, A.
Title Night Lights and Economic Performance in Egypt Type Journal Article
Year 2019 Publication Advances in Economics and Business Abbreviated Journal
Volume 7 Issue 2 Pages 69-81
Keywords (up) Economics; Remote Sensing
Abstract This paper, to the best of my knowledge, is the first to estimate the association between Nighttime Lights (NTL) and real Gross Domestic Product (GDP) at the national level, using sub-national GDP data for the 27 Egyptian governorates over FY08-FY13. The study finds that NTL has a positive and statistically significant

correlation with GDP at the sub-national and national levels. Hence, NTL can measure and predict GDP in Egypt, at the national and sub-national levels. These findings affirm most previous research that NTL could be a good proxy for GDP when official data are unavailable or time infrequent in developing countries.
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Call Number IDA @ intern @ Serial 2301
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Author Lazar, M.
Title Shedding Light on the Global Distribution of Economic Activity Type Journal Article
Year 2010 Publication The Open Geography Journal Abbreviated Journal Togeogj
Volume 3 Issue 1 Pages 147-160
Keywords (up) Economics; Remote Sensing
Abstract Collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Nighttime lights satellite imagery and the LandScan population grid provide an alternative means for measuring economic activity. We have developed a model for creating a disaggregated map of estimated total (formal plus informal) economic activity for countries and states of the world. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for China, India, Mexico, and the United States and at the national level for other countries of the world, and subsequently unique coefficients were derived. Multiplying the unique coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a spatially disaggregated 1 km2 map of total economic activity.
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ISSN 1874-9232 ISBN Medium
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Call Number GFZ @ kyba @ Serial 2440
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Author Debbich, M.
Title Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17 Type Journal Article
Year 2019 Publication International Monetary Fund Abbreviated Journal
Volume 19 Issue 221 Pages
Keywords (up) Economics; Remote Sensing
Abstract This paper uses an untapped source of satellite-recorded nightlights and gas flaring data to characterize the contraction of economic activity in Yemen throughout the ongoing conflict that erupted in 2015. Using estimated nightlights elasticities on a sample of 72 countries for real GDP and 28 countries for oil GDP over 6 years, I derive oil and non-oil GDP growth for Yemen. I show that real GDP contracted by a cumulative 24 percent over 2015-17 against 50 percent according to official figures. I also find that the impact of the conflict has been geographically uneven with economic activity contracting more in some governorates than in others.
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Call Number IDA @ intern @ Serial 2721
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Author Weidmann, N.; Schutte, S.
Title Using night light emissions for the prediction of local wealth Type Journal Article
Year 2016 Publication Journal of Peace Research Abbreviated Journal J Peace Res
Volume Issue Pages 0022343316630359
Keywords (up) Economics; remote sensing; night lights; spatial prediction
Abstract Nighttime illumination can serve as a proxy for economic variables in particular in developing countries, where data are often not available or of poor quality. Existing research has demonstrated this for coarse levels of analytical resolution, such as countries, administrative units or large grid cells. In this article, we conduct the first fine-grained analysis of night lights and wealth in developing countries. The use of large-scale, geo-referenced data from the Demographic and Health Surveys allows us to cover 39 less developed, mostly non-democratic countries with a total sample of more than 34,000 observations at the level of villages or neighborhoods. We show that light emissions are highly accurate predictors of economic wealth estimates even with simple statistical models, both when predicting new locations in a known country and when generating predictions for previously unobserved countries.
Address Department of Politics and Public Administration, University of Konstanz, Germany; nils.weidmann(at)uni-konstanz.de
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Publisher SAGE Place of Publication Editor
Language English Summary Language English Original Title
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Call Number IDA @ john @ Serial 1474
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Author Bauhr, M. & Carlitz, R.
Title Transparency and the quality of local public service provision Type Journal Article
Year 2019 Publication The Quality of Government Institute Abbreviated Journal QOG
Volume Issue 5 Pages 1-43
Keywords (up) Economics; Remote Sensing; public service delivery; Vietnam; Asia
Abstract Transparency has been widely promoted as a tool for improving public service

delivery; however, empirical evidence is inconclusive. We suggest that the effects of transparency on service provision are contingent on the nature of the service. Specifically, transparency is more likely to improve the quality of service provision when street-level discretion is high, since discretion increases information asymmetries, and, in the absence of transparency, allows officials to target public services in suboptimal ways. Using finely grained data from the Vietnam Provincial Governance and Public Administration Performance Index between 2011–2017, we show that communes that experience increases in transparency also experience improved quality of education and health (services characterized by greater discretion), while the quality of infrastructure

provision (characterized by less discretion) bears no relation to increased transparency. The findings help us understand when transparency can improve service provision, as well the effects of transparency reforms in non-democratic settings.
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Call Number IDA @ intern @ Serial 2637
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