Abstract
Resilience has become an essential aspect of the high-quality development of the marine economy. This study considered multiple combinations of dimensions, including politics, economy, culture, society, ecology, and security, in developing marine economy resilience. Based on the adaptability theory, this study measures the resilience of China's marine economy by constructing an evaluation index system using the three resilience sub-dimensions of resistance, adaptability, and evolution from 2000 to 2020 in 11 Chinese coastal provinces. The evaluation index system also considers social factors such as institution, culture, and history. The new technical methods such as remote sensing interpretation and text analysis are used to obtain one-hand data. We use a fuzzy comprehensive evaluation (FCE) model to calculate the comprehensive evaluation index and determine the weight of each index using the entropy weight method, analytic hierarchy process, and the least square decision model. Furthermore, based on the Local Indicators of Spatial Association (LISA) time path and spatiotemporal transition probability matrix, we analyze the spatiotemporal characteristic evolution characteristics of marine economic resilience. The results reveal that (1) the resilience, resistance, adaptability, and evolution of the marine economy in 11 coastal provinces show an upward trend from 2000 to 2020. (2) The development speed of the resilience level differs in terms of resistance, adaptability, and evolution, but the overall level shows adaptability > evolution > resistance. (3) The analysis of the spatiotemporal interaction characteristics of resilience shows that the overall spatial characteristic of resilience is relatively stable. Therefore, some measurements are suggested to improve marine economic resilience. For example, government formulates marine plans, sea-related enterprises assume social responsibilities, and individuals actively participate in marine governance. The evaluation model of marine economic resilience applies to other complex systems with multiple factors.
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