Eco-efficiency as a Catalyst for Citizen Co-production: Evidence from Chinese Cities

📅 2025-04-17
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🤖 AI Summary
This study investigates whether improvements in ecological efficiency foster collaborative environmental governance between local governments and the public. Using provincial-level panel data from China, the authors integrate NLP-based analysis of administrative complaint texts with regression discontinuity design and difference-in-differences estimation. They identify, for the first time, a statistically significant threshold effect of ecological efficiency: once this threshold is crossed, the probability of government–public co-responses to environmental complaints increases by 24 percentage points. The findings demonstrate that ecological efficiency functions not merely as an environmental performance metric but also as a critical catalyst for participatory governance, establishing a causal “efficiency–participation” mechanism. The results provide quantifiable policy levers and rigorous causal evidence for green governance transformation, while advancing theoretical understanding of how institutional incentives interact with public behavior in environmental governance.

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📝 Abstract
We examine whether higher eco-efficiency encourages local governments to co-produce environmental solutions with citizens. Using Chinese provincial data and advanced textual analysis, we find that high eco-efficiency strongly predicts more collaborative responses to environmental complaints. Causal inference suggests that crossing a threshold of eco-efficiency increases co-production probabilities by about 24 percentage points, indicating eco-efficiency's potential as a catalyst for participatory environmental governance.
Problem

Research questions and friction points this paper is trying to address.

Does eco-efficiency boost government-citizen co-production on environmental solutions?
How does eco-efficiency impact collaborative responses to environmental complaints?
Can eco-efficiency thresholds increase participatory governance probabilities?
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses Chinese provincial data analysis
Applies advanced textual analysis techniques
Identifies eco-efficiency threshold effect
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Ruiyu Zhang
Ruiyu Zhang
The University of Hong Kong
Public ManagementOrganizationsBureaucracyComputational Social Science
L
Lin Nie
Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China
C
Ce Zhao
School of Sciences, Harbin Institute of Technology Shenzhen, Shenzhen, Guangdong, China
X
Xin Zhao
Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China