What explains collaboration in high and low conflict contexts? Comparing climate change policy networks in four countries

Kammerer, Marlene, Wagner, Paul, Gronow, Antti, Ylä‐Anttila, Tuomas, Fisher, Dana and Yun, Sun-Jin (2021) What explains collaboration in high and low conflict contexts? Comparing climate change policy networks in four countries. Policy Studies Journal, 49 (4). pp. 1065-1086. ISSN 0190-292X

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Official URL: https://doi.org/10.1111/psj.12422


Explaining collaboration between actors involved in policy processes is crucial for understanding these processes and their outcomes. The policy science literature has advanced several hypotheses explicating what enables or hinders collaboration. However, only a handful of studies compare these factors across different policy contexts. This paper investigates the role of beliefs and influence in shaping collaboration under conditions of high and low conflict by estimating Exponential Random Graph Models using network survey data on the climate policy domains in four countries. Results show that both beliefs and influence are associated with the formation of collaboration ties in the high conflict contexts of South Korea and the US, whereas neither are significant in the low conflict contexts of Sweden and Switzerland. By considering the level of conflict, our findings provide a more nuanced understanding of when beliefs and influence shape collaboration patterns.

Item Type: Article
Additional Information: Funding information: Research funded by John D. and Catherine T. MacArthur Foundation. Grant Numbers: G‐16‐1609‐151514‐CLS, G‐1604‐150842; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung. Grant Numbers: 137808, 168255; Academy of Finland. Grant Numbers: 266685, 298819; The Ministry of Education of the Republic of Korea and the National Research Foundation of Korea. Grant Number: NRF‐2017S1A3A2067220; Koneen Säätiö. Grant Number: 201804137; U.S. National Science Foundation. Grant Number: BCS‐0826892.
Uncontrolled Keywords: climate change policy, Policy Networks, Collaboration, Exponential Random Graph Model
Subjects: L200 Politics
L400 Social Policy
L900 Others in Social studies
Department: Faculties > Business and Law > Newcastle Business School
Depositing User: John Coen
Date Deposited: 15 Jan 2021 10:54
Last Modified: 17 Jan 2023 08:00
URI: https://nrl.northumbria.ac.uk/id/eprint/45230

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