{"title":"基于多方法的中国海洋经济脆弱性时空评价","authors":"Jiekun Song, Kaiyuan Huang, Huisheng Xiao, Yang Ding, Yiming Dong, Zhiao Zuo","doi":"10.1016/j.ocecoaman.2025.107866","DOIUrl":null,"url":null,"abstract":"<div><div>The spatiotemporal evaluation of marine economy vulnerability (MEV) is crucial for optimizing the spatial layout of the marine economy and promoting its sustainable development. This study applies catastrophe progression method and wooden barrel theory to evaluate the MEV of provinces and marine economic circles (MECs) in China, respectively. By using the Dagum Gini coefficient decomposition and Kernel density estimation methods, it analyzes the sources of differences and the spatiotemporal characteristics of MEV. It applies obstacle degree model to obtain the influencing factors of MEV. The key findings are as follows: The social and resource subsystems were mainly of high or very high vulnerability, and the economic and environmental subsystems were mainly of medium or low, low or very low vulnerability, respectively. The MEV of three MECs was all medium, and showed a decreasing trend. The MEV of most provinces continued to improve, but it manifested as spatial disequilibrium. The difference among MECs increased, and hypervariable density was its main source. The distribution of the northern and southern MECs diverged, while that of the eastern MEC concentrated. To reduce the MEV of China, the three MECs should strengthen inter-regional cooperation and promote coordinated internal development, while each province should implement tailored policies based on its actual situation. This study can also provide a reference for the evaluation of MEC and the balanced development in other countries and regions.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107866"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal evaluation of marine economy vulnerability in China: A multi-method approach\",\"authors\":\"Jiekun Song, Kaiyuan Huang, Huisheng Xiao, Yang Ding, Yiming Dong, Zhiao Zuo\",\"doi\":\"10.1016/j.ocecoaman.2025.107866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The spatiotemporal evaluation of marine economy vulnerability (MEV) is crucial for optimizing the spatial layout of the marine economy and promoting its sustainable development. This study applies catastrophe progression method and wooden barrel theory to evaluate the MEV of provinces and marine economic circles (MECs) in China, respectively. By using the Dagum Gini coefficient decomposition and Kernel density estimation methods, it analyzes the sources of differences and the spatiotemporal characteristics of MEV. It applies obstacle degree model to obtain the influencing factors of MEV. The key findings are as follows: The social and resource subsystems were mainly of high or very high vulnerability, and the economic and environmental subsystems were mainly of medium or low, low or very low vulnerability, respectively. The MEV of three MECs was all medium, and showed a decreasing trend. The MEV of most provinces continued to improve, but it manifested as spatial disequilibrium. The difference among MECs increased, and hypervariable density was its main source. The distribution of the northern and southern MECs diverged, while that of the eastern MEC concentrated. To reduce the MEV of China, the three MECs should strengthen inter-regional cooperation and promote coordinated internal development, while each province should implement tailored policies based on its actual situation. This study can also provide a reference for the evaluation of MEC and the balanced development in other countries and regions.</div></div>\",\"PeriodicalId\":54698,\"journal\":{\"name\":\"Ocean & Coastal Management\",\"volume\":\"270 \",\"pages\":\"Article 107866\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ocean & Coastal Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S096456912500328X\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OCEANOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean & Coastal Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S096456912500328X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
Spatiotemporal evaluation of marine economy vulnerability in China: A multi-method approach
The spatiotemporal evaluation of marine economy vulnerability (MEV) is crucial for optimizing the spatial layout of the marine economy and promoting its sustainable development. This study applies catastrophe progression method and wooden barrel theory to evaluate the MEV of provinces and marine economic circles (MECs) in China, respectively. By using the Dagum Gini coefficient decomposition and Kernel density estimation methods, it analyzes the sources of differences and the spatiotemporal characteristics of MEV. It applies obstacle degree model to obtain the influencing factors of MEV. The key findings are as follows: The social and resource subsystems were mainly of high or very high vulnerability, and the economic and environmental subsystems were mainly of medium or low, low or very low vulnerability, respectively. The MEV of three MECs was all medium, and showed a decreasing trend. The MEV of most provinces continued to improve, but it manifested as spatial disequilibrium. The difference among MECs increased, and hypervariable density was its main source. The distribution of the northern and southern MECs diverged, while that of the eastern MEC concentrated. To reduce the MEV of China, the three MECs should strengthen inter-regional cooperation and promote coordinated internal development, while each province should implement tailored policies based on its actual situation. This study can also provide a reference for the evaluation of MEC and the balanced development in other countries and regions.
期刊介绍:
Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels.
We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts.
Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.