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Which Nighttime Lights Data Better Represent India's Economic Activities and Regional Inequality?
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 …
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 …
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
This study introduces a novel approach to monitoring floods and estimating socioeconomic
impacts in Thailand. The approach leverages advancements in geospatial data, employing …
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
Poverty continues to pose significant global challenges. Analyzing poverty distribution is
pivotal for identifying spatial and demographic disparities, informing targeted policy …
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
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 …
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 …
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 …
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 …
changing global economy. Decision-makers in both the public and private sectors rely …
Estimation of Gross Regional Domestic Product per Capita at the Sub-District Level in Bali, NTB, and NTT Provinces Using Machine Learning Approaches and …
IMSA Putra, RB Prasetyo, CA Wiguna - Jurnal Aplikasi Statistika & …, 2025 - jurnal.stis.ac.id
[PDF][PDF] Center for Economic Institutions
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 …
countries. Survey-based approaches are less informative than often realized; rural …