paper-with-me

홈 › Papers

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

2025-04-17 · Ruiyu Zhang, Lin Nie, Ce Zhao, Xin Zhao

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.

📄 PDF Abstract BibTeX arXiv:2504.13290

Code (0)

등록된 구현이 없습니다.

Tasks

Causal Inference

Methods 이 논문이 사용한 방법론

Causal inference Causal inference is the process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect. The main difference between causal…

Similar Papers 제목 키워드 기반

Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding

2025-12-19 · Evangelos Pournaras arxiv

This article shows how fair voting methods can be a catalyst for change in the way we make collective decisions, and how such change can promote long-awaited upgrades of democracy. Based on real-world evidence from democ…

Generative AI as a catalyst for democratic Innovation: Enhancing citizen engagement in participatory budgeting

2025-09-23 · Italo Alberto do Nascimento Sousa, Jorge Machado, Jose Carlos Vaz arxiv

This research examines the role of Generative Artificial Intelligence (AI) in enhancing citizen engagement in participatory budgeting. In response to challenges like declining civic participation and increased societal p…

An Artificial Intelligence (AI) workflow for catalyst design and optimization

2024-02-07 · Nung Siong Lai, Yi Shen Tew, Xialin Zhong, Jun Yin 외

In the pursuit of novel catalyst development to address pressing environmental concerns and energy demand, conventional design and optimization methods often fall short due to the complexity and vastness of the catalyst …

Active LearningBayesian Optimization

Multi-fidelity batch Bayesian optimization for bioprocess development across scales

2025-08-14 · Adrian Martens, Mathias Neufang, Alessandro Butté, Moritz von Stosch 외 arxiv

Bioprocesses are central to modern biotechnology, enabling sustainable production of pharmaceuticals, specialty chemicals, cosmetics, and food. However, developing high-performing processes remains costly and complex, re…

Gaussian ProcessesTransfer Learning

Import competition and domestic vertical integration: Theory and Evidence from Chinese firms

2024-08-25 · Xin Du, Xiaoxia Shi

What impact does import competition have on firms' production organizational choices? Existing literature has predominantly focused on the relationship between import competition and firms' global production networks, wi…

Specificity