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Under what conditions do governments collaborate? A qualitative comparative analysis of air pollution control in China

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  • Yao Liu
  • Jiannan Wu
  • Hongtao Yi
  • Jing Wen

Abstract

Based on the collaborative governance framework, this paper proposes four starting conditions that affect the establishment of intergovernmental collaboration: power imbalance, resource imbalance, prehistory of collaboration and participation of superior levels of government. The interaction of these conditions is tested with collaborative practice among local governments in China to control air pollution. The qualitative comparative analysis results show that wheel-shaped, umbrella-shaped and fan-shaped modes promote collaboration. Non-participation of superior levels of government and strong–strong competition modes inhibit collaboration. External leadership and internal leadership play important roles in the initiation of interlocal collaboration.

Suggested Citation

  • Yao Liu & Jiannan Wu & Hongtao Yi & Jing Wen, 2021. "Under what conditions do governments collaborate? A qualitative comparative analysis of air pollution control in China," Public Management Review, Taylor & Francis Journals, vol. 23(11), pages 1664-1682, November.
  • Handle: RePEc:taf:rpxmxx:v:23:y:2021:i:11:p:1664-1682
    DOI: 10.1080/14719037.2021.1879915
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    Cited by:

    1. Soyoung Kim, 2021. "Integration of Policy Decision Making for Sustainable Land Use within Cities," Sustainability, MDPI, vol. 13(18), pages 1-10, September.
    2. Jialiang Yang & Wen Yin & Yi Jin, 2023. "Analyzing Public Environmental Concerns at the Threshold to Reduce Urban Air Pollution," Sustainability, MDPI, vol. 15(21), pages 1-17, October.
    3. Liming Suo & Xue Li & Shuai Cao, 2023. "How governance boundaries affect regional collaboration on atmospheric governance—Evidence from China's Yangtze River Delta," Review of Policy Research, Policy Studies Organization, vol. 40(4), pages 509-533, July.
    4. Soyoung Kim & Woo-Je Kim & Richard Clark Feiock, 2021. "An Item Response Theory Model of Inter-Regional Collaboration for Transportation Planning in the United States," Land, MDPI, vol. 10(9), pages 1-15, September.
    5. He, Yinan & Wu, Chao & Fan, Yuanyuan, 2024. "Exploring the drivers of local government budget coordination: A random forest regression analysis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1104-1113.
    6. Wanjuan Wang & Hongbo Gong, 2022. "Formation Mechanism of a Coastal Zone Environment Collaborative Governance Relationship: A Qualitative Comparative Analysis Based on fsQCA," IJERPH, MDPI, vol. 19(17), pages 1-26, September.
    7. Jiangyang Lin & Yuanhong Tian & Qian Yao & Yong Shi, 2023. "Structural Characteristics of Intergovernmental Water Pollution Control Cooperation Networks Using Social Network Analysis and GIS in Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 15(18), pages 1-18, September.

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