Politics of problem definition: Comparing public support of climate change mitigation policies using machine learning.

Public support is a key contributor to successful policy adoption and implementation. Given the urgency of climate change mitigation, scholars have explored various determinants that affect public support for climate change mitigation policy. However, the relative decisiveness of these factors in sh...

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Publicado en:Review of Policy Research Vol. 41; no. 1; pp. 104 - 135
Autores principales: Choi, Junghwa, Wehde, Wesley, Maulik, Romit
Formato: Artículo
Publicado: Wiley-Blackwell Jan2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2024
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        atl: Politics of problem definition: Comparing public support of climate change mitigation policies using machine learning.
      aug:
        au:
          Choi, Junghwa
          Wehde, Wesley
          Maulik, Romit
        affil:
          School of Public Administration, University of Nebraska Omaha, Nebraska, Omaha, USA
          Department of Political Science, Texas Tech University, Texas, Lubbock, USA
          Mathematics and Computer Science Division, Argonne National Laboratory, Illinois, Lemont, USA
      su:
        Public support
        Climate change mitigation
        Government policy on climate change
        Machine learning
      sug:
        subj:
          Public support
          Climate change mitigation
          Government policy on climate change
          Machine learning
      keyword:
        climate change mitigation policy
        machine learning
        problem definition
        public support
        Apoyo público
        Aprendizaje automático
        Definición de problemas
        Política de mitigación del cambio climático
        公众支持
        机器学习
        气候变化缓解政策
        问题定义
        climate change mitigation policy
        machine learning
        problem definition
        public support
        Apoyo público
        Aprendizaje automático
        Definición de problemas
        Política de mitigación del cambio climático
        公众支持
        机器学习
        气候变化缓解政策
        问题定义
      ab: Public support is a key contributor to successful policy adoption and implementation. Given the urgency of climate change mitigation, scholars have explored various determinants that affect public support for climate change mitigation policy. However, the relative decisiveness of these factors in shaping public support is insufficiently examined. Therefore, we deploy interpretable machine learning to understand which factors, among many previously investigated, are most decisive for structuring public support for various climate change mitigation policies. In this paper, we particularly look at the decisiveness of problem definition for shaping public support among various factors. Using U.S national survey data, we find that how individuals define the issue of climate change is more decisive for structuring public support for promoting renewable energy and regulating pollutants to mitigate the risks associated with climate change. However, the results also indicate that the most decisive factors associated with public support vary depending on the types of mitigation policy. We conclude that different strategies should be utilized to increase public support for various climate change mitigation policy options. Our findings contribute to a scholarly understanding of the specific politics of problem definition in the context of environmental and climate change policy.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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