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Leveraging an Unhappiness Lens for Smarter Policies

Author

Listed:
  • Marine Coupaud

    (ESSCA School of Management)

  • Gilles Grolleau

    (ESSCA School of Management Lyon)

  • Naoufel Mzoughi

    (ECODEVELOPPEMENT - Ecodéveloppement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Traditional policy research has largely focused on enhancing happiness or well-being, privileging positive outcomes as the primary metric of success. We argue that a systematic focus on the drivers of unhappiness-rather than solely on happiness-offers a complementary analytical framework that can uncover hidden societal deficits and broaden the repertoire of policy interventions. By foregrounding unhappiness, scholars and practitioners can identify latent demand, structural inequities, and unintended negative side-effects that are often obscured in happiness-centric analyses. We first articulate why a shift away from predominantly happiness-driven policies is conceptually necessary, demonstrating that unhappiness signals distinct causal pathways and policy levers. Second, we explain how adopting an unhappiness lens can lead to different-and potentially betterpolicy outcomes. By integrating unhappiness into the policy toolkit, this paper expands the analytical horizon of scholars and offers policymakers actionable insights for more resilient, equitable, and responsive governance. We introduce several novel theoretical issues that provide a strong foundation for a research agenda on unhappiness and its policy implications.We also caution that misusing unhappiness-based arguments poses ethical risks and could exacerbate the very problems such arguments aim to address

Suggested Citation

  • Marine Coupaud & Gilles Grolleau & Naoufel Mzoughi, 2026. "Leveraging an Unhappiness Lens for Smarter Policies," Post-Print hal-05557284, HAL.
  • Handle: RePEc:hal:journl:hal-05557284
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-05557284v1
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