Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/324601 
Autor:innen: 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Central European Economic Journal (CEEJ) [ISSN:] 2543-6821 [Volume:] 10 [Issue:] 57 [Year:] 2023 [Pages:] 403-413
Verlag: 
Sciendo, Warsaw
Zusammenfassung: 
Sustainability is a key topic nowadays, mostly because in the last decade the pollution levels have reached an all-time high. National governments are searching for sustainable and environmentally friendly solutions to decrease the amount of pollution. This study is a cross-sectional study on 27 European countries, using data gathered in 2020. This study's main goal is to show the environmental sustainability of public transportation and its impact on country development in Europe. The methodology used in this study will consist of spatial econometrics methods with visual maps and graphs to help with a better visual representation of the phenomena presented. The empirical evidence will be confirmed by the spatial regression's results. Because the spatial diagnostic tests revealed that the spatial processes are present in terms of both spatial lag and spatial errors, the model that was used was a Spatial Autoregressive Moving Average Model (SARMA). Moreover, the environmental sustainability of public transport is also a significant factor. The expected results from which this study began - specifically, that the spatiality has a significant impact in modelling the relationship between public transportation and economic development - were confirmed.
Schlagwörter: 
Spatial Econometrics
Econometric Methods
Spatial Autoregressive Moving Average Model
Spatial Autocorrelation
Transportation Economics
JEL: 
C01
C21
R04
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