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@INPROCEEDINGS{Rhoden:893403,
      author       = {Rhoden, Imke and Ball, Christopher},
      title        = {{N}othing but hot air? {A} multimethod approach of the
                      automotive industry's sustainability standpoints},
      reportid     = {FZJ-2021-02733},
      year         = {2021},
      abstract     = {The decarbonization of the transport sector is essential to
                      meeting the goals of the Paris Agreement and the Net Zero
                      Emissions strategies. In the automotive sector, this has led
                      to increased momentum for sustainability and a recognition
                      of the need to develop sustainable mobility alternatives. In
                      the sector, there are certain players which appear to be far
                      ahead in the transition, whereas there are others that are
                      considered "laggards". We consider how the biggest global
                      players in the automotive sector position sustainability and
                      its subtopics on their agenda and the extent to which their
                      actions match their positioning on sustainability. Moreover,
                      the contrasting of actions with communication on
                      sustainability will highlight discrepancies between
                      sustainability performance and communication - e.g. are
                      there certain players who are actually better at
                      sustainability, but not good at communicating what they
                      do?We adopt a multimethod approach, using a topic model
                      which is complemented by a multi equation regression model.
                      The topic model is applied to sustainability reports, using
                      natural language processing to identify the focus of each
                      manufacturer's sustainability strategies. The results from
                      this model are then used to form the outcome variables in a
                      seemingly unrelated regression model (SUR model). Further
                      variables in the model are derived from quantitative data
                      relating to e.g. proportion of zero-emission vehicles or
                      indicators of sustainable production like energy consumption
                      etc. This way, the model can compare the actual
                      sustainability performance of the manufacturers to their
                      communication. In combining both the topic model based on
                      automated language processing techniques with a more
                      traditional quantitative SUR model, this paper combines two
                      different research approaches in a complementary way to
                      address a complex research problem which has not been
                      empirically investigated like this before.},
      month         = {Jun},
      date          = {2021-06-18},
      organization  = {Gemeinsame Frühjahrstagung der
                       DGS-Sektionen „Methoden“ und
                       „Umwelt“, Jülich (Germany), 18 Jun
                       2021 - 19 Jun 2021},
      subtyp        = {After Call},
      cin          = {IEK-STE},
      cid          = {I:(DE-Juel1)IEK-STE-20101013},
      pnm          = {1112 - Societally Feasible Transformation Pathways
                      (POF4-111)},
      pid          = {G:(DE-HGF)POF4-1112},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/893403},
}