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Worker mobility and the purchase of low CO2 emission vehicles in France: a datamining approach

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Listed:
  • Raphaël Homayoun Boroumand

    (City University London)

  • Stéphane Goutte

    (LED - Laboratoire d'Economie Dionysien - UP8 - Université Paris 8 Vincennes-Saint-Denis)

  • Thomas Péran

    (PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

  • Thomas Porcher

    (ESG Research Lab - ESG Management School)

Abstract

This paper seeks to pattern a non-driven geographical classication of French departmental territorial units based on both mobility behavior and passenger car eet composition. With no mathematical regression analysis but applying datamining methodology to behavior, consumption and geography variables, we have grouped French territorial units into 8 clusters with similar characteristics. The main results reveal that commuters' behavior with respect to the choice of transport mode varies substantially across clusters (rural and highly rural, urban and highly urban clusters, ...). Conversely, the structure of the French vehicle eet and French car purchases in terms of engines, tax horsepower and CO2 emissions are similar. this nding should enable state organizations to implement dierentiated public policies for environmental and industrial sectors. Alternatively, our paper should help industrial groups to better deploy their economic strategies in line with environmental concerns.

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  • Raphaël Homayoun Boroumand & Stéphane Goutte & Thomas Péran & Thomas Porcher, 2019. "Worker mobility and the purchase of low CO2 emission vehicles in France: a datamining approach," Post-Print halshs-01968001, HAL.
    • Handle: RePEc:hal:journl:halshs-01968001
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01968001
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    Cited by:

    1. Raphaël-Homayoun Boroumand & Stéphane Goutte & Thomas Porcher & Thomas Stocker, 2020. "How to implement a fair and progressive carbon price to fight climate change?," Working Papers halshs-02613281, HAL.

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    Keywords

    CO2 emissions; Datamining; Cluster; Worker mobility; Passenger cars; France;
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