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

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

  • 摘要:
    目的 探讨3种权重方案下的山东省近海渔业资源配额比例,为海洋渔业管理提供参考依据。
    方法 以山东省沿海7个地市为研究对象,使用2017—2023年7个地市的渔获量、社会和效率指标,研究了等权重法、Kakwani相对剥夺系数法和熵权法3种不同方案下各指标的权重以及各地市渔业资源配额比例,并使用基尼系数法对不同分配方案的公平性进行了分析。
    结果 应用等权重法分配时,配额比例以烟台市最高,为26.90%,东营市配额最低,为6.80%;应用Kakwani相对剥夺系数分配时,配额比例以烟台市最高,为37.09%,东营市配额最低,为3.72%,与等权重法相比,烟台市和威海市的配额比例分别提高了10.18%和3.97%,其它地市配额比例有所下降,滨州市配额比例降低幅度最大,为6.85%;应用熵权法分配时,配额比例以威海市最高,为30.29%,东营市配额最低,为5.45%,与等权重法相比,威海市配额比例提高最多,为5.54%,滨州市配额比例降低幅度最大,为3.80%。使用基尼系数法进行公平性分析,3种分配方案基尼系数均低于0.2,熵权法分配的基尼系数最小,为0.097。
    结论 3种分配方案之中,熵权法的公平性优于其他两种方案,其渔获量、社会和效率指标权重分别为0.436、0.406和0.158,各地市配额比例分别为青岛市12.91%、东营市5.45%、烟台市27.31%、潍坊市7.39%、威海市30.29%、日照市9.60%和滨州市7.05%;由此粗略计算山东省沿海7地市的近海渔业资源捕捞限额分别为青岛市22.04万t、东营市9.30万t、烟台市46.61万t、潍坊市12.62万t、威海市51.69万t、日照市16.39万t和滨州市12.03万t。

     

    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 proportion for each city were analyzed using three weighting schemes: the Equal Weighting Method, the Kakwani Relative Deprivation 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 proportion (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, respectively, 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, respectively. 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.

     

/

返回文章
返回