Abstract
Marine ranching can increase the harvesting capacity of many species and help achieve planned and purposeful production of marine resources. However, marine ranching ecological security (MRES) has received limited attention, which has affected the management of marine ranching. To provide decision support for the management of MRES in China, we obtained the influence paths of MRES in China using probabilistic linguistic term sets (PLTSs) and qualitative comparative analysis (QCA). The DPSIR (Driver-Pressure-State-Impact-Response) framework was employed to construct the evaluation index system of MRES, and PLTSs were used to describe the multiple values resulting from three threshold setting methods. We selected 17 samples of marine ranching enterprises in China to apply our method and input their data into multi-value QCA to identify the influence paths of MRES relating to those enterprises. We found that there exists an influence path (configuration) that causes a high level of MRES, namely F1{2}*F2{2}*~F3*F4{2}*F5{1,2}. This means that for a high level of MRES, the driver, pressure and impact factors should be at their best levels, and the state factor can be at the normal level. MRES was at the high level whether the response factor was normal or positive. Our findings generate theoretical and practical implications managing MRES.
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Acknowledgement
This research was supported by the Major Program of National Social Science Foundation of China under Grant No. 18ZDA055, the National Natural Science Foundation of China (NSFC) under Grant Nos. 71874167, 71804170 and 71901199, the Fundamental Research Funds for the Central Universities under Grant No. 202041005, and the Special Funds of Taishan Scholars Project of Shandong Province under Grant No. tsqn20171205. The authors would like to thank anonymous referees and the editor for their valuable comments and suggestions that help to improve the quality of the paper to its current standard.
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Du, YW., Sun, XL. Influence Paths of Marine Ranching Ecological Security in China Based on Probabilistic Linguistic Term Sets and Qualitative Comparative Analysis. Int. J. Fuzzy Syst. 23, 228–242 (2021). https://doi.org/10.1007/s40815-020-00894-x
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DOI: https://doi.org/10.1007/s40815-020-00894-x