Assessing the Effectiveness of Air Pollution Control Policy Mixes
A Case from China
Bibliographic Data
| ID | 21475232 |
|---|---|
| Authors | Jin Xiao (0000-0003-2462-4996, Tsinghua University), Xiao Jin (0000-0002-7852-4117, Tsinghua University), Yixin Dai (0000-0002-0332-3927, Tsinghua University, corresponding author) |
| Year | 2025 |
| Volume | 48 |
| Issue | 9 |
| Pages | 595-611 |
| Publication date | 2025-07-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Public Administration (JOURNAL) |
| Journal identifiers | ISSN: 0190-0692 • E-ISSN: 1532-4265 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01900692.2024.2393338 |
| OpenAlex | W4402026331 |
| Language | EN |
| References cited | 68 |
In recent years, there have been extensive theoretical discourse on policy mixes. Nevertheless, empirical research on the factors contributing to their effectiveness remains limited. This study examines the relationship between two features in policy mixes design, namely intensity and balance, as well as their impacts on policy effectiveness. Using provincial-level data from China (2013–2018), this paper explores how these features enhance policy outcomes. Our findings indicate that, the intensity of command-and-control policy instruments has a significant impact on improving policy effectiveness. Besides, balanced policy mixes are more effective when there is less scrutiny of the environmental performance assessment
Business · China · Economics · Empirical research · Environmental economics · Policy analysis · Political science · Public economics · Scrutiny · Air Quality and Health Impacts · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Psychology · Public Administration
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| Citation velocity | historical |
|---|---|
| Highly cited | No |