Satellite-detected gain in built-up area as a leading economic indicator

dc.contributor.authorYing, Qing
dc.contributor.authorHansen, Matthew C.
dc.contributor.authorSun, Laixiang
dc.contributor.authorWang, Lei
dc.contributor.authorSteininger, Marc
dc.date.accessioned2020-07-08T14:56:36Z
dc.date.available2020-07-08T14:56:36Z
dc.date.issued2019-10-30
dc.descriptionPartial funding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.en_US
dc.description.abstractLeading indicators of future economic activity include measures such as new housing starts, managers purchasing index, money supply, and bond yields. Such macroeconomic and financial indicators hold predictive power in signaling recessionary periods. However, many indicators are constrained by the fact that data are often published with some delay and are subject to constant revision (Bandholz and Funke 2003, Huang et al 2018, Orphanides 2003). In this research, we propose a leading indicator derived from satellite imagery, the expansion of anthropogenic bare ground. Satellite-detected gain in built-up area, a major land cover and land use (LCLU) outcome of anthropogenic bare ground gain (ABGG), provides an inexpensive, consistent, and near-real-time indicator of global and regional macroeconomic change. Our panel data analysis across four major regions of the world from 2001 to 2012 shows that the logarithm of total ABGG, mostly owing to its major LCLU outcome, the expansion of built-up land in either year t, t −1 or t −2, significantly correlated with the year t logarithm of gross domestic product (GDP, de-trended by Hodrick–Prescott filter). Global ABGG between 2001 and 2012 averaged 7875 km2 yr−1, with a peak gain of 11 875 (± 2014 km2 at the 95% confidence interval) in 2006, prior to the 2007–2008 global financial crisis. The curve of global ABGG or its major LCLU outcome of built-up area in year t − 1 accords well with that of the de-trended logarithm of the global GDP in year t. Given the 40 year archive of free satellite data, a growing satellite constellation, advances in machine learning, and scalable methods, this study suggests that analyses of ABGG as a whole or its LCLU outcomes can provide valuable information in near-real time for socioeconomic research, development planning, and economic forecasting.en_US
dc.identifierhttps://doi.org/10.13016/7l4f-xokd
dc.identifier.citationQing Ying et al 2019 Environ. Res. Lett. 14 114015 https://doi.org/10.1088/1748-9326/ab443een_US
dc.identifier.urihttp://hdl.handle.net/1903/26116
dc.language.isoen_USen_US
dc.publisherIOP Publishingen_US
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.titleSatellite-detected gain in built-up area as a leading economic indicatoren_US
dc.typeArticleen_US

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