Page 323 - 《水产学报》2026年第04期
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4 期        李少文,等:基于       3  种权重方案的近海渔业资源配额比例研究——以山东省沿海                    7  市为例        50 卷




                  Quota proportion of coastal fishery resources based on three weighting
                   schemes: the case of seven coastal cities in Shandong Province, China



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                        LI Shaowen  ,     DING Qi  ,     YU Ning  ,     CUI Guangxin  ,     WANG Tiantian  ,
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                                                SHAN Xiujuan  ,     LI Fan  1*
                                  (1. Observation and Research Station of Laizhou Bay Marine Ecosystem,
                                     Shandong Marine Resource and Environment Research Institute,
                            Ministry of Natural Resources of the People’s Republic of China, Yantai 264006, China;
                     2. Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs,
                      Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;
                                   3. Yantai Marine Economy Research Institute, Yantai 264003, China)


              Abstract: Focusing on seven coastal prefecture-level cities in Shandong, the research employed data on catch volume, social
              indicators, and efficiency indicators from 2017 to 2023. The weights of these indicators and the corresponding quota propor-
              tion for each city were analyzed using three weighting schemes: the Equal Weighting Method, the Kakwani Relative Depriva-
              tion Coefficient Method, and the Entropy Weight Method. The fairness of three weighting schemes was evaluated using the
              Gini coefficient. The results indicated that under the Equal Weighting Method, Yantai City received the highest quota propor-
              tion (26.90%), while Dongying City received the lowest (6.80%). Under the Kakwani Relative Deprivation Coefficient Method,
              Yantai City again received the highest allocation (37.09%), and Dongying City the lowest (3.72%). Compared to the Equal
              Weighting Method, this scheme increased quota shares for Yantai and Weihai by 10.18 and 3.97 percentage points, respect-
              ively,  while  reducing  the  shares  of  the  other  cities,  with  Binzhou  City  experiencing  the  largest  decrease  (6.85  percentage
              points). Under the Entropy Weight Method, Weihai City received the highest quota proportion (30.29%), and Dongying City
              the lowest (5.45%). Relative to the Equal Weighting Method, Weihai's share increased the most (+5.54 percentage points),
              while  Binzhou  City's  share  decreased  the  most  (−3.80  percentage  points).  Fairness  analysis  based  on  the  Gini  coefficient
              showed that all three weighting schemes resulted in coefficients below 0.2. The allocation derived from the Entropy Weight
              Method yielded the smallest Gini coefficient (0.097), indicating the highest level of fairness among the three schemes. Under
              this optimal scheme, the weights for the catch volume, social, and efficiency indicators were 0.436, 0.406, and 0.158, respect-
              ively. The corresponding quota proportions for the cities were as follows: Qingdao 12.91%, Dongying 5.45%, Yantai 27.31%,
              Weifang  7.39%,  Weihai  30.29%,  Rizhao  9.60%,  and  Binzhou  7.05%.  Based  on  these  proportions,  the  approximate  fishing
              quotas for the seven coastal cities were estimated as: Qingdao 220.4 thousand tons, Dongying 93.0 thousand tons, Yantai 466.1
              thousand tons, Weifang 126.2 thousand tons, Weihai 516.9 thousand tons, Rizhao 163.9 thousand tons, and Binzhou 120.3
              thousand tons. This study can provide insights for marine fisheries management.
              Key words:  coastal  fishery  resource;  quota  proportion;  equal  weighting;  relative  deprivation  coefficient;  entropy  weight
              method; coastal cities in Shandong Province
              Corresponding author: LI Fan. E-mail: lifan@shandong.cn
              Funding projects: National Key R & D Program of China (2024YFD2400405); Shandong Provincial Natural Science Founda-
              tion (ZR2023MD039)









              中国水产学会主办  sponsored by China Society of Fisheries                          https://www.china-fishery.cn
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