When More Isn't Better: The Diminishing Returns of Policy Pilots in Environmental Governance

ABSTRACT While the “pilot designation” mechanism is recognized for its flexibility and diversity in environmental governance, there remains an unresolved question regarding its optimal implementation. Specifically, the potential for resource redundancy and formalism when an excessive number of projects are initiated has not been thoroughly examined. This study addresses this research gap by conducting an empirical analysis using panel data from 283 cities in China to explore the diminishing marginal returns of the pilot designation system in environmental governance. We examine both the theoretical foundations and practical effects of this policy tool. Our findings indicate that pilot designations initially lead to significant improvements in local environmental governance performance. However, as the number of pilot policies increases, their impact exhibits diminishing marginal returns and can even become negative. Notably, once the number of pilot policies surpasses a certain threshold, the effectiveness of the policy not only stagnates but also declines, suggesting that “more” is not always “better” in the context of policy pilots. Additionally, the success of these pilots is contingent upon the level of attention that local governments devote to environmental governance. These results underscore the necessity for a balanced approach in the design and implementation of policy pilots to avoid overextension and ensure optimal resource allocation.

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Publication Details

Journal
Review of Policy Research
Published
2025-06-11
DOI
https://doi.org/10.1111/ropr.70029
Citations
1
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
3.13

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article

When More Isn't Better: The Diminishing Returns of Policy Pilots in Environmental Governance

Qiao Wang, Fang Duan, Jingjing Zeng
1 citations
Review of Policy Research
Climate Change Policy and Economics
3.13
article

When More Isn't Better: The Diminishing Returns of Policy Pilots in Environmental Governance

Qiao Wang, Fang Duan, Jingjing Zeng
article en
1 citations

Abstract

ABSTRACT While the “pilot designation” mechanism is recognized for its flexibility and diversity in environmental governance, there remains an unresolved question regarding its optimal implementation. Specifically, the potential for resource redundancy and formalism when an excessive number of projects are initiated has not been thoroughly examined. This study addresses this research gap by conducting an empirical analysis using panel data from 283 cities in China to explore the diminishing marginal returns of the pilot designation system in environmental governance. We examine both the theoretical foundations and practical effects of this policy tool. Our findings indicate that pilot designations initially lead to significant improvements in local environmental governance performance. However, as the number of pilot policies increases, their impact exhibits diminishing marginal returns and can even become negative. Notably, once the number of pilot policies surpasses a certain threshold, the effectiveness of the policy not only stagnates but also declines, suggesting that “more” is not always “better” in the context of policy pilots. Additionally, the success of these pilots is contingent upon the level of attention that local governments devote to environmental governance. These results underscore the necessity for a balanced approach in the design and implementation of policy pilots to avoid overextension and ensure optimal resource allocation.

Review of Policy ResearchVol. 43(2)
Sun Yat-sen University (CN), Shenzhen University (CN), Huazhong Agricultural University (CN), Shenzhen Municipal People's Government (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 8%
Climate Change Policy and Economics
3.13
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When More Isn't Better: The Diminishing Returns of Policy Pilots in Environmental Governance — Qiao Wang, Fang Duan, et al. · Review of Policy Research (2025) | TGRS Research Map | TGRS