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Author Galimberti, J. K.; Pichler, S.; Pleninger, R.
Title Measuring Inequality using Geospatial Data Type Conference Article
Year 2020 Publication AUT Economics Working Paper Series Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract The main challenge in studying economic inequality is limited data availability, which is particularly problematic in developing countries. We construct a measure of economic inequality for 234 countries and territories from 1992 to 2013 using satellite data on nighttime light emissions as well as gridded population data. Key methodological innovations include the use of varying levels of data aggregation, and a parsimonious calibration of the lights-prosperity relationship to match traditional inequality measures based on income data. Indeed, we obtain a measure that is significantly correlated with cross-country variation in income inequality. Subsequently, we provide three applications of the data in the fields of health economics and international finance. Our results show that light- and income-based inequality measures lead to similar results in terms of cross-country correlations, but not for the dynamics of inequality measure can capture more enduring features of economic activity that are not directly captured by income.
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Notes Approved no
Call Number UP @ altintas1 @ Serial (down) 3232
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Author Patnam, M.; Yao, W.
Title The Real Effects of Mobile Money: Evidence from a Large-Scale Fintech Expansion Type Journal Article
Year 2020 Publication IMF Working Paper Abbreviated Journal
Volume 20 Issue 138 Pages
Keywords Remote Sensing
Abstract Mobile money services have rapidly expanded across emerging and developing economies and enabled new ways through which households and firms can conduct payments, save and send remittances. We explore how mobile money use can impact economic outcomes in India using granular data on transactions from Paytm, one of the largest mobile money service provider in India with over 400 million users. We exploit the period around the demonetization policy, which prompted a surge in mobile money adoption, and analyze how mobile money affects traditional risk-sharing arrangements. Our main finding is that mobile money use increases the resilience to shocks by dampening the impact of rainfall shocks on nightlights-based economic activity and household consumption. We complement these findings by conducting a firm survey around a phased targeting intervention which incentivized firms to adopt the mobile payment technology. Our results suggest that firms adopting mobile payments improved their sales after six-months of use, compared to other firms. We also elicit firms’ subjective expectations on future sales and find mobile payment adoption to be associated with lower subjective uncertainty and greater sales optimism.
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Series Volume Series Issue Edition
ISSN 1018-5941 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number UP @ altintas1 @ Serial (down) 3230
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Author Stathakis, D.; Liakos, L.
Title Median Shift Lunar Correction for VIIRS Type Journal Article
Year 2020 Publication IEEE Geoscience and Remote Sensing Letters Abbreviated Journal
Volume Issue Pages in press
Keywords Moonlight; Remote Sensing
Abstract Visible Infrared Imaging Radiometer Suite (VIIRS) 24-h data are substantially affected by lunar illumination. A new method is proposed to correct this distortion and be able to form a consistent time series. The method has the advantage of being relatively simple in its deployment while at the same time effective. The results show that the proposed method removes periodical illumination noise due to the lunar circle while preserving meaningful information, in the test sites applied.
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ISSN 1558-0571 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number UP @ altintas1 @ Serial (down) 3228
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Author Cui, Y.; Shi, K.; Jiang, L.; Qiu, L.; Wu, S
Title Identifying and Evaluating the Nighttime Economy in China Using Multisource Data Type Journal Article
Year 2020 Publication IEEE Geoscience and Remote Sensing Letters Abbreviated Journal
Volume Issue Pages in press
Keywords Remote Sensing
Abstract The nighttime economy has always been regarded as an important part of the economy. Monitoring and evaluating the nighttime economic level is of great significance for promoting consumption and economic growth and optimizing industrial structure. However, it is difficult to evaluate the nighttime economy in China due to the data being unavailable. Hence, the objective of this study is to identify and evaluate the nighttime economy in China from different perspectives. First, a comprehensive nighttime economic index (CNEI) was constructed by integrating the nighttime light intensity and the points of interest data to represent the nighttime economic level. The CNEI was then verified using the business report data and socioeconomic statistical data. The results show that the CNEI is highly correlated with the verified data. We also found that Shanghai, Chengdu, Guangzhou, and Shenzhen have the highest CNEI values, and the CNEI values of southern cities are generally higher than those of northern cities. This is mainly because the differences in the lifestyles, climatic factors, and cultural customs in the north and south determine the nighttime economic activities. Counties with very high CNEI values are mostly located in the capital cities of each province. The spatial agglomeration at the county level performed more strongly than that at the prefecture level. The study will not only help better understand the nighttime economic level on different scales but also contribute to city-level policymaking on urban planning and economic development.
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Language Summary Language Original Title
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Notes Approved no
Call Number UP @ altintas1 @ Serial (down) 3227
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Author Niu, W.; Xia, H.; Wang, R.; Pan, L.; Meng, Q.; Qin, Y.; Li, R.; Zhao, X.; Bian, X.; Zhao, W.
Title Research on Large-Scale Urban Shrinkage and Expansion in the Yellow River Affected Area Using Night Light Data Type Journal Article
Year 2021 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi
Volume 10 Issue 1 Pages 5
Keywords Remote Sensing
Abstract As the land use issue, caused by urban shrinkage in China, is becoming more and more prominent, research on urban shrinkage and expansion has become particularly challenging and urgent. Based on the points of interest (POI) data, this paper redefines the scope, quantity, and area of natural cities by using threshold methods, which accurately identify the shrinkage and expansion of cities in the Yellow River affected area using night light data in 2013 and 2018. The results show that: (1) there are 3130 natural cities (48,118.75 km2) in the Yellow River affected area, including 604 shrinking cities (8407.50 km2) and 2165 expanding cities (32,972.75 km2). (2) The spatial distributions of shrinking and expanding cities are quite different. The shrinking cities are mainly located in the upper Yellow River affected area, except for the administrative cities of Lanzhou and Yinchuan; the expanding cities are mainly distributed in the middle and lower Yellow River affected area, and the administrative cities of Lanzhou and Yinchuan. (3) Shrinking and expanding cities are typically smaller cities. The research results provide a quick data supported approach for regional urban planning and land use management, for when regional and central governments formulate the outlines of urban development monitoring and regional planning.
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2220-9964 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial (down) 3225
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