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Three Essays on Economic Application...
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Maldonado Salazar, Leonardo José,
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Three Essays on Economic Applications Using Satellite Imageries of Nighttime Lights /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Three Essays on Economic Applications Using Satellite Imageries of Nighttime Lights // Leonardo José Maldonado Salazar.
Author:
Maldonado Salazar, Leonardo José,
Description:
1 electronic resource (106 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:
Dissertations Abstracts International85-07B.
Subject:
Remote sensing. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30820233
ISBN:
9798381423693
Three Essays on Economic Applications Using Satellite Imageries of Nighttime Lights /
Maldonado Salazar, Leonardo José,
Three Essays on Economic Applications Using Satellite Imageries of Nighttime Lights /
Leonardo José Maldonado Salazar. - 1 electronic resource (106 pages)
Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
This dissertation aims to unravel applications in the economic field derived from analyzing nighttime light data. The dissertation comprises three essays, each delving into distinct aspects of the relationship between nighttime lights and economic phenomena. The first essay investigates the relationship between nighttime lights and economic activity in oil-dependent countries, exploring whether that relationship differs in oil-producing and non-oil-producing regions. The main findings highlight differences in the predictive power of night light emissions by region, emphasizing the potential of light data to enhance economic growth measures. The second essay uses nighttime light imagery to estimate rural poverty rates in Venezuela from 2000 to 2020. The analysis reveals a significant increase in rural poverty rates between 2014 and 2020, shedding light on the impact of the Venezuelan economic collapse in recent years. Finally, the third essay examines regional inequality in the Andean countries using nighttime lights and population datasets, accounting for temporal and spatial dimensions (based on a multiple-stage nested Theil decomposition approach). The study identifies changes in overall inequality, driven by both between-country and within-country factors, providing insights for targeted initiatives to address inequality at the local level.
English
ISBN: 9798381423693Subjects--Topical Terms:
535394
Remote sensing.
Subjects--Index Terms:
Oil-dependent countries
Three Essays on Economic Applications Using Satellite Imageries of Nighttime Lights /
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Three Essays on Economic Applications Using Satellite Imageries of Nighttime Lights /
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This dissertation aims to unravel applications in the economic field derived from analyzing nighttime light data. The dissertation comprises three essays, each delving into distinct aspects of the relationship between nighttime lights and economic phenomena. The first essay investigates the relationship between nighttime lights and economic activity in oil-dependent countries, exploring whether that relationship differs in oil-producing and non-oil-producing regions. The main findings highlight differences in the predictive power of night light emissions by region, emphasizing the potential of light data to enhance economic growth measures. The second essay uses nighttime light imagery to estimate rural poverty rates in Venezuela from 2000 to 2020. The analysis reveals a significant increase in rural poverty rates between 2014 and 2020, shedding light on the impact of the Venezuelan economic collapse in recent years. Finally, the third essay examines regional inequality in the Andean countries using nighttime lights and population datasets, accounting for temporal and spatial dimensions (based on a multiple-stage nested Theil decomposition approach). The study identifies changes in overall inequality, driven by both between-country and within-country factors, providing insights for targeted initiatives to address inequality at the local level.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30820233
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