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Green Collars at the Voting Booth: Material Interest and Environmental Voting

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  • Cavallotti, Enrico
  • Colantone, Italo
  • Stanig, Piero
  • Vona, Francesco

Abstract

We study how occupation-related material interest affects environmental voting. Specifically, material interest hinges on the greenness vs. brownness of individual occupational profiles. That is, on the extent to which individuals are expected to benefit vs. lose in a greener economy. We employ individual-level data from 14 western European countries, over 2010-2019. To measure the greenness and brownness of occupational profiles, for each individual we compute predicted greenness and brownness scores based on the predicted probabilities to be employed in each possible occupation. These probabilities are combined with occupation-specific greenness and brownness scores. Individuals characterized by higher predicted brownness are less likely to vote for Green parties and for parties with a more environmentalist agenda, while the opposite holds for individuals characterized by higher predicted greenness. Voting preferences of brown profiles tend to converge towards those of greener profiles in regions that are better placed to gain from the green transition.

Suggested Citation

  • Cavallotti, Enrico & Colantone, Italo & Stanig, Piero & Vona, Francesco, "undated". "Green Collars at the Voting Booth: Material Interest and Environmental Voting," FEEM Working Papers 352148, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemwp:352148
    DOI: 10.22004/ag.econ.352148
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    References listed on IDEAS

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    Cited by:

    1. Frattini, Federico Fabio & Vona, Francesco & Bontadini, Filippo & Colantone, Italo, "undated". "The Local Job Multipliers of Green Industrialization," FEEM Working Papers 358792, Fondazione Eni Enrico Mattei (FEEM).
    2. Federico Fabio Frattini & Francesco Vona & Filippo Bontadini & Italo Colantone, 2025. "The Local Job Multipliers of Green Industrialization," Sciences Po Economics Publications (main) hal-05305541, HAL.

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