Is Partisan Conflict a Barrier to Environmental Policy?

ABSTRACT This paper employs full and subsample rolling‐window tests to investigate the impact of partisan conflicts (PCs) on environmental policy (EP) in the United States. The findings reveal a time‐varying relationship between PC and EP, with negative influences from PC on EP, suggesting that partisanship can hinder the advancement of EP. However, the negative impacts of EP on PC demonstrate that PC can be used to anticipate political situations. The sub‐sample identified specific sub‐periods where significant causality exists. These periods often coincide with major political events or shifts in administration, indicating that the influence of PC on EP varies over time. The results support the principal‐agent model, explaining that partisan causes a discrepancy between the desired and actual policy levels, indicating that political intervention may constrain the implementation of EP. Climate policy requires a collaborative governance model to build consensus.

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Publication Details

Journal
Sustainable Development
Published
2025-10-25
DOI
https://doi.org/10.1002/sd.70346
Citations
1
Primary Topic
Electoral Systems and Political Participation
Type
article
Field-Weighted Citation Impact
8.52
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article

Is Partisan Conflict a Barrier to Environmental Policy?

Adnan Khurshid, Khalid Saifullah Khan, Javier Cifuentes‐Faura
1 citations
Sustainable Development
Electoral Systems and Political Participation
8.52
article

Is Partisan Conflict a Barrier to Environmental Policy?

Adnan Khurshid, Khalid Saifullah Khan, Javier Cifuentes‐Faura
article en
1 citations

Abstract

ABSTRACT This paper employs full and subsample rolling‐window tests to investigate the impact of partisan conflicts (PCs) on environmental policy (EP) in the United States. The findings reveal a time‐varying relationship between PC and EP, with negative influences from PC on EP, suggesting that partisanship can hinder the advancement of EP. However, the negative impacts of EP on PC demonstrate that PC can be used to anticipate political situations. The sub‐sample identified specific sub‐periods where significant causality exists. These periods often coincide with major political events or shifts in administration, indicating that the influence of PC on EP varies over time. The results support the principal‐agent model, explaining that partisan causes a discrepancy between the desired and actual policy levels, indicating that political intervention may constrain the implementation of EP. Climate policy requires a collaborative governance model to build consensus.

Sustainable DevelopmentVol. 34(S2)
Qingdao University (CN), Zhejiang Normal University (CN), Universidad Politécnica de Cartagena (ES)
Openalex Percentile: Top 3%
Electoral Systems and Political Participation
8.52
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