Quantifying Policy Gaps
A Comparative Analysis of 484 Meteorological Disaster Emergency Plans in Guangdong Province, China
Datos Bibliográficos
| ID | 7158947 |
|---|---|
| Autores | Jing Cao (0000-0001-8249-2915, School of Public Administration Xiangtan University Xiangtan China, autor de correspondencia), Ting Zhang (0000-0002-6840-1367, School of Public Administration Xiangtan University Xiangtan China), Xuanhua Xu (0000-0001-7340-8902, School of Business Central South University Changsha China), Shanchuan Chen (School of Business Central South University Changsha China) |
| Año | 2026 |
| Volumen | 34 |
| Número | 1 |
| Fecha de publicación | 2026-03-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Contingencies and Crisis Management (JOURNAL) |
| Identificadores de la revista | ISSN: 0966-0879 • E-ISSN: 1468-5973 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/1468-5973.70120 |
| OpenAlex | W7127629167 |
| Idioma | EN |
| Referencias citadas | 33 |
The evaluation of emergency plans is crucial for building a high‐quality emergency management system. However, existing methods often rely on qualitative judgement and lack systematic, quantitative tools. This study developed a quantitative evaluation method, the PMC‐AE index, which combined the Policy Modeling Consistency (PMC) index with an autoencoder (AE) and integrated text‐mining techniques (e.g., term frequency, co‐word network and cluster analysis). We applied this method to 484 meteorological disaster emergency plans from the national to county levels in Guangdong Province, China. To examine hierarchical policy transmission, the framework was further extended by introducing three indicators: coverage, degree of detail and grey relational analysis (GRA). The results revealed that although the lower‐level plans were more detailed and operational, vertical linkage remained weak, exhibiting a pattern of ‘high coverage—low detail—high correlation’. A high degree of homogeneity was found between municipal and county plans (mean GRA values of 0.729 and 0.760, respectively), indicating insufficient adaptation to local contexts and thus limiting their practicality. The proposed method provides a novel pathway for the scientific evaluation and optimisation of emergency plans. Trial Registration N/A
Analytic hierarchy process · China · Emergency management · Emergency response · Grey relational analysis · Judgement · Limiting · Data-Driven Disease Surveillance · Disaster Management and Resilience · Public Relations and Crisis Communication
Practical Sampling
The Social Roots of Risk
Searching for the Good Plan
Co-word analysis as a tool for describing the network of interactions between basic and technological research
“Fragmented Authoritarianism 2.0”
Policy modeling
Innovation and Diffusion Models in Policy Research
How to conduct a bibliometric analysis
Unveiling the origins of non-performance-oriented behavior in China’s local governments
The dynamic capabilities of county-level government in China during the outbreak of large-scale epidemics
Quantitative evaluation of provincial government plans for public health emergencies in China
Quantitative evaluation of China's disaster relief policies
Research on Emergency Response Policy for Public Health Emergencies in China—Based on Content Analysis of Policy Text and PMC-Index Model
A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder
Public health emergency preparedness
Governance and public administration in China
Designing Resilient Institutions for Transboundary Crisis Management
Governance modes, policy regimes and operational plans
Text as Data
Learning from Abroad
The Iron Cage Revisited
Institutionalized Organizations
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |