Estimating urban GDP growth using nighttime lights and machine learning techniques in data poor environments: The case of South Sudan-Reference-Cited by-同舟云学术

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Estimating urban GDP growth using nighttime lights and machine learning techniques in data poor environments: The case of South Sudan

Published:2024-06 Issue: Volume:203 Page:123399
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

McSharry Patrick,Mawejje Joseph

Publisher

Elsevier BV

Reference48 articles.

1. Lights out? COVID-19 Containment Policies and Economic Activity;Beyer,2020

2. Examining the economic impact of COVID-19 in India through daily electricity consumption and nighttime light intensity;Beyer;World Dev.,2021

3. Measuring quarterly economic growth from outer space;Beyer,2022

4. Top lights: Bright cities and their contribution to economic development;Bluhm;J. Dev. Econ.,2022

5. Using Machine Learning and Remote Sensing to Value Property in Rwanda;Brimble,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Harnessing technology for infectious disease response in conflict zones: Challenges, innovations, and policy implications;Medicine;2024-07-12

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