Qing Ying
Satellite-detected gain in built-up area as a leading economic indicator
Ying, Qing; Hansen, Matthew C.; Sun, Laixiang; Wang, Lei; Steininger, Marc
Authors
Matthew C. Hansen
PROF Laixiang Sun ls28@soas.ac.uk
Professor of Chinese Business & Mgmt
Lei Wang
Marc Steininger
Abstract
Leading 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,Huanget 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 7875km2 yr−1, with a peak gain of 11 875 (±2014km2 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.
Citation
Ying, Q., Hansen, M. C., Sun, L., Wang, L., & Steininger, M. (2019). Satellite-detected gain in built-up area as a leading economic indicator. Environmental Research Letters, 14, 1-11. https://doi.org/10.1088/1748-9326/ab443e
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 13, 2019 |
Publication Date | Oct 30, 2019 |
Deposit Date | Dec 7, 2020 |
Publicly Available Date | Dec 7, 2020 |
Journal | Environmental Research Letters |
Electronic ISSN | 1748-9326 |
Publisher | IOP Publishing |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Article Number | 114015 |
Pages | 1-11 |
DOI | https://doi.org/10.1088/1748-9326/ab443e |
Keywords | leading economic indicator, built-up area, anthropogenic bare ground gain, global and regional scale, the great recession, spatio-temporal dynamics, landsat |
Related Public URLs | https://iopscience.iop.org/article/10.1088/1748-9326/ab443e |
Files
Satellite-detected gain in built-up area as a leading economic indicator_EnvResearchLetters2019.pdf
(1.1 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI
You might also like
Keeping the global consumption within the planetary boundaries
(2024)
Journal Article
Climate Change and Corporate Vulnerability: Impact of Natural Disasters on JVs and WOSs
(2024)
Journal Article
Water consumption and biodiversity: Responses to global emergency events.
(2024)
Journal Article
Downloadable Citations
About SOAS Research Online
Administrator e-mail: outputs@soas.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search