Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Spatial Economics - Development Economics from a new Perspective ; Räumliche Ökonomie - Entwicklungsökonomie aus einer neuen Perspektive
One goal of development economics is to analyze the determinants that impede a country's development. The empirical analysis of such development-economic problems is often based on survey data and on official data provided by public authorities. Thanks to new technologies and the possibility of evaluating larger amounts of data more quickly using machine learning methods, geocoded data can also be used for this purpose. Geocoded data makes it possible to extend the analysis to smaller, non-administrative regions and to generate comparable datasets worldwide. Especially in developing countries, which usually have no or only weak statistical institutions, georeferenced data can generate profound insights. The best-known example of the use of geocoded data in an economic context is nighttime light (NTL) data. It measures the lights emitted in the late evening hours. Since most of these lights indicate economic activity such as industrial plants, shops or traffic, NTL data can be used as a regional measure of production. Against this background, this dissertation analyzes empirical questions of development economics using georeferenced data in order to identify obstacles to development. Following a short introduction, the second chapter presents technical details, handling, and applications of spatial data. In particular, the properties of NTL data are described, and it discusses some influential studies on the use of NTL data as a proxy for economic output. Chapter three examines whether there is a causal relationship between spatial inequality and economic development. Since spatial inequality has an impact on a country's economic development and vice versa, a causal relationship cannot be determined by a simple linear regression analysis. The exogenous variation in geographic features like temperature and precipitation is used to construct an instrument for spatial inequality. These geophysical factors determine where economic activity is likely to take place. Thus, inequality of NTL correlates with spatial ...
Spatial Economics - Development Economics from a new Perspective ; Räumliche Ökonomie - Entwicklungsökonomie aus einer neuen Perspektive
One goal of development economics is to analyze the determinants that impede a country's development. The empirical analysis of such development-economic problems is often based on survey data and on official data provided by public authorities. Thanks to new technologies and the possibility of evaluating larger amounts of data more quickly using machine learning methods, geocoded data can also be used for this purpose. Geocoded data makes it possible to extend the analysis to smaller, non-administrative regions and to generate comparable datasets worldwide. Especially in developing countries, which usually have no or only weak statistical institutions, georeferenced data can generate profound insights. The best-known example of the use of geocoded data in an economic context is nighttime light (NTL) data. It measures the lights emitted in the late evening hours. Since most of these lights indicate economic activity such as industrial plants, shops or traffic, NTL data can be used as a regional measure of production. Against this background, this dissertation analyzes empirical questions of development economics using georeferenced data in order to identify obstacles to development. Following a short introduction, the second chapter presents technical details, handling, and applications of spatial data. In particular, the properties of NTL data are described, and it discusses some influential studies on the use of NTL data as a proxy for economic output. Chapter three examines whether there is a causal relationship between spatial inequality and economic development. Since spatial inequality has an impact on a country's economic development and vice versa, a causal relationship cannot be determined by a simple linear regression analysis. The exogenous variation in geographic features like temperature and precipitation is used to construct an instrument for spatial inequality. These geophysical factors determine where economic activity is likely to take place. Thus, inequality of NTL correlates with spatial ...
Spatial Economics - Development Economics from a new Perspective ; Räumliche Ökonomie - Entwicklungsökonomie aus einer neuen Perspektive
Achten, Sandra (Autor:in) / Lessmann, Christian / Ludwig, Markus
01.01.2023
Hochschulschrift
Elektronische Ressource
Englisch
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