Which Nighttime Lights Data Better Represent India's Economic Activities and Regional Inequality?

CK Mathen, S Chattopadhyay, S Sahu… - Asian Development …, 2024 - World Scientific
This paper demonstrates how the estimation of economic activities and inequality for the
Indian economy based on nighttime lights data from the Visible Infrared Imaging Radiometer …

The impact of special economic zones on economic development: Evidence from nightlight analysis in the Lao people's democratic republic

N Phommachanh - Asian Development Review, 2024 - World Scientific
Over the past few decades, special economic zones (SEZs) have become a widely used
industrial policy tool to support structural transformation and economic development. Yet …

[HTML][HTML] An integrated framework for satellite-based flood map** and socioeconomic risk analysis: A case of Thailand

N Prasertsoong, N Puttanapong - Progress in Disaster Science, 2025 - Elsevier
This study introduces a novel approach to monitoring floods and estimating socioeconomic
impacts in Thailand. The approach leverages advancements in geospatial data, employing …

Measuring human settlement wealth index at 10-km resolution in low-and middle-income countries from 2005 to 2020 using multi-source remote sensing data

Y Li, B Wu, C Wang, Z Chen, S Liu… - International Journal of …, 2024 - Taylor & Francis
Poverty continues to pose significant global challenges. Analyzing poverty distribution is
pivotal for identifying spatial and demographic disparities, informing targeted policy …

Predicting Urban Land Expansion and Local Economic Growth by Integrating CLUE-S and Economic Model: an Application to Ban Chang District, Thailand

N Prasertsoong, N Puttanapong - Journal of Geovisualization and Spatial …, 2025 - Springer
Timely and granular information on urban and economic growth is necessary for achieving
sustainable development goals. This study aims to predict economic growth and urban land …

Illuminating the Nile: estimating subnational GDP in Egypt using nighttime lights and machine learning

H Suleiman - GeoJournal, 2024 - Springer
Egypt has been reporting several subnational socioeconomic indicators for more than three
decades. However, utilizing these valuable datasets for monitoring long temporal trends in …

Predicting Household Expenditure Using Machine Learning Techniques: A Case of Cambodia

N Puttanapong, S Lim - Nakhara: Journal of Environmental …, 2024 - ph01.tci-thaijo.org
This study aimed to predict household expenditure using a combination of survey and
geospatial data. A web-based application operating on the Google Earth Engine platform …

[PDF][PDF] Forecasting The Economic Growth of Sverdlovsk Region: A Comparative Analysis of Machine Learning, Linear Regression and Autoregressive Models

DM Balungu, A Kumar - Journal of Applied Economic Research, 2024 - journalaer.ru
The relevance of accurate economic forecasting cannot be overstated in today's rapidly
changing global economy. Decision-makers in both the public and private sectors rely …

[PDF][PDF] Center for Economic Institutions

J Gibson, X Zhang, A Park, Y Jiang, X Li - 2024 - cei.ier.hit-u.ac.jp
It is costly and difficult to measure rural economic activity and poverty in develo**
countries. Survey-based approaches are less informative than often realized; rural …