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Replication Data for: The impact of INGO climate shaming on national laws

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: The impact of INGO climate shaming on national laws
 
Identifier https://doi.org/10.7910/DVN/IOIENA
 
Creator Interactions, International
 
Publisher Harvard Dataverse
 
Description Does INGO climate shaming translate into actual climate laws, or is it ineffective in altering the behavior of governments? This article provides the first systematic assessment of whether and under what conditions INGO climate shaming can influence national climate policymaking. Drawing on social movement and NGO literatures, we argue that INGO climate shaming can incur reputational costs for governments through
two main pathways: public opinion and transnational politics. To test our propositions, we generate a unique dataset on INGO climate shaming, utilizing natural language processing (NLP) to extract INGO climate shaming events from media sources, covering the period 1990-2020. We find that climate shaming is generally effective in pushing governments to introduce climate laws. Particularly, we find that climate shaming is consequential when governments are trade-dependent and have committed to global climate norms. Our findings provide substantive implications for the global climate governance literature.
 
Subject Social Sciences
naming and shaming, climate laws, global climate governance, climate shaming, NGOs, climate policy
 
Date 2023-11-22
 
Contributor Interactions, International