Abstract/Description
Pakistan, where inequalities and unbalanced development are prevalent. This study focuses on Pakistan as a case example and employs three distinct datasets, including nightime lights data from the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), district-level information on prices and production of selected agricultural commodities, and population data from the LandScan Global Population project.
Keywords
District GDP, Nightime lights, Enhanced Light Intensity Model, District Agriculture Production
Location
MCS-5, AMAN-CED, Second Floor
Session Theme
2C: Insights from Complex Economic Datasets
Session Type
Parallel Technical Session
Session Discussant
Anwar Hussain, University of Swat, Swat
Start Date
17-11-2023 11:50 AM
End Date
17-11-2023 1:20 PM
Recommended Citation
Ali, W. (2023). Appraising economic development: Estimating Subnational GDP for Pakistan through Nightlights. CBER Conference. Retrieved from https://ir.iba.edu.pk/esdcber/2023/program/23
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Included in
Appraising economic development: Estimating Subnational GDP for Pakistan through Nightlights
MCS-5, AMAN-CED, Second Floor
Pakistan, where inequalities and unbalanced development are prevalent. This study focuses on Pakistan as a case example and employs three distinct datasets, including nightime lights data from the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), district-level information on prices and production of selected agricultural commodities, and population data from the LandScan Global Population project.
