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  1. Economic effects of transportation infrastructure quantity and quality
    a study of German counties
    Erschienen: 2020
    Verlag:  DIW Berlin, German Institute for Economic Research, Berlin

    In this paper, we analyze the impact of transportation infrastructure quantity and quality on regional economic production. We exploit an extensive panel dataset on the German county level (N=401), expressing the capital value and condition of... mehr

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    In this paper, we analyze the impact of transportation infrastructure quantity and quality on regional economic production. We exploit an extensive panel dataset on the German county level (N=401), expressing the capital value and condition of highways between 2007 and 2016, to estimate a spatially extended translog production function. The spatial specification uses SLX and SDEM models, with various linear and nonlinear variants estimated using FGLS and GMM estimators accounting for endogeneity. We find, in line with existing research, a positive impact of the quantity of transport infrastructure both locally and supra-regionally. We furthermore provide evidence for the claim that insufficient maintenance and low infrastructure conditions significantly slow economic growth through a negative correlation between GDP and the quality grade of highways. A more detailed analysis, distinguishing different types of highways and constructions, confirms these findings and underlines the importance of the Bundesstraßen network as compared to the Autobahn system. The estimated impact of the quality of bridges is rather ambiguous and requires further research to achieve a better understanding.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/213600
    Schriftenreihe: Discussion papers / Deutsches Institut für Wirtschaftsforschung ; 1848
    Umfang: 1 Online-Ressource (circa 34 Seiten), Illustrationen
  2. Agglomeration or market access?
    the defining factors of firms' location choice
    Erschienen: 2023
    Verlag:  DIW Berlin, German Institute for Economic Research, Berlin

    As research indicates a gap between complex scientific measures of accessibility and simpler proxies used by firms, this paper analyses the impact of several market access indicators on the location decision of firms. It compares the role of inter-... mehr

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    As research indicates a gap between complex scientific measures of accessibility and simpler proxies used by firms, this paper analyses the impact of several market access indicators on the location decision of firms. It compares the role of inter- and intra-industry agglomeration as proxies of access with a newly developed gravity-based indicator incorporating transport distances and industry relations. The estimation results of a nested mixed multinomial logit model, based on a sample of 110,083 German firms, provide evidence that agglomeration effects play an essential role in firms' location choice, whereas the complex market access measure does not have a significant impact. This outcome holds true for large as well as small and medium sized enterprises and is confirmed in several robustness checks. Thus, the paper provides guidance to further research on companies' location decisions, highlighting that access indicators should be chosen specifically for the scientific context, as well as to firms to make more efficient location choices from the perspective of market access.

     

    Export in Literaturverwaltung   RIS-Format
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/273326
    Schriftenreihe: Discussion papers / Deutsches Institut für Wirtschaftsforschung ; 2045
    Schlagworte: Transportation; Accessibility; Location Choice; Agglomeration; Market Access
    Umfang: 1 Online-Ressource (circa 34 Seiten), Illustrationen
  3. Combining GPS tracking and surveys for a mode choice model
    processing data from a quasi-natural experiment in Germany
    Erschienen: 2023
    Verlag:  DIW Berlin, German Institute for Economic Research, Berlin

    This paper deals with the data generation process implemented for an analysis of the impact of the 9-Euro ticket on mode choice. We discuss the assumptions made and procedures used to process a raw dataset that is based on GPS traces of individuals’... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 14
    keine Fernleihe

     

    This paper deals with the data generation process implemented for an analysis of the impact of the 9-Euro ticket on mode choice. We discuss the assumptions made and procedures used to process a raw dataset that is based on GPS traces of individuals’ movements and on survey data into the choice-set for a discrete choice model. Several steps of cleaning and merging are described in order to a) obtain a reliable dataset; b) define available modal alternatives with attributes such as distance, duration, and costs; and c) impute the travel purpose for each movement to form. Our main contribution is to show that a systematic analysis of the sample obtained at different stages of data processing is important to make sure that the final sample is unbiased. Furthermore, we contribute by analysing the difference between observed travel time and travel time calculated by routing tools such as Google Maps. We show that the often- employed approach of estimating RP based choice models on the basis of observed travel times for the chosen mode of transport but calculated travel times for the non-chosen alternatives can introduce a structural bias into the sample.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/273500
    Schriftenreihe: Discussion papers / Deutsches Institut für Wirtschaftsforschung ; 2047
    Schlagworte: Data processing; travel behaviour; GPS traces; discrete choice models; revealed preferences
    Umfang: 1 Online-Ressource (circa 28 Seiten), Illustrationen