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Spatial Commuting Patterns of German Regional Labour Markets: A Sustainability Perspective

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Listed:
  • F. Tedeschi
  • A. Reggiani
  • P. Nijkamp

Abstract

This paper aims to investigate the relationship between commuting and spatial labour market developments in the framework of sustainability issues. To do so, we propose, first, an exploratory investigation of the effects of inbound commuter flows on employment in regional labour markets in Germany. Next, we address sustainability issues as a common umbrella for the relationship economy-transportation . In this context, we show that the German production system is faced with negative environmental externalities, which are clearly associated with a specific transport mode, viz. the private car. Negative environmental externalities as a result of modal choices in Germany are confirmed by data from EU-15 countries. Public transport, in particular the train, appears to be more environmentally-benign. Our results bring to light that, on average, commuter flows have a positive and robust effect on employment in the receiving German labour market districts, while, for commuting flows, public transport, especially the train, is a more environmentally-benign mode of transport, compared with the car, in reducing greenhouse gas emissions and energy consumption. In the light of possible policy strategies, the paper argues that sustainability may lead to positive economic effects; in particular, the improvement of the public transport system, which can provide more opportunities for sustainable commuting patterns, may lead to favourable employment perspectives for the local or regional labour force.

Suggested Citation

  • F. Tedeschi & A. Reggiani & P. Nijkamp, 2012. "Spatial Commuting Patterns of German Regional Labour Markets: A Sustainability Perspective," Working Papers wp819, Dipartimento Scienze Economiche, Universita' di Bologna.
    • Handle: RePEc:bol:bodewp:wp819
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    References listed on IDEAS

    as
    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Behrens, Kristian & Mion, Giordano & Murata, Yasusada & Suedekum, Jens, 2017. "Spatial frictions," Journal of Urban Economics, Elsevier, vol. 97(C), pages 40-70.
    3. Bakker, P. & Koopmans, C. & Nijkamp, P., 2009. "Appraisal of integrated transport policies," Serie Research Memoranda 0052, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
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    More about this item

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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