Innovative Intellectual Property Rights in the Marine Seed Industry

Our research employs the Group Eigenvalue Method (GEM) to identify key indicators, aiming to enhance the accuracy of value assessment. The principal advantage of GEM lies in its ability to effectively overcome the inconsistency issues common in the judgement matrices of the Analytic Hierarchy Process (AHP). Moreover, it offers simplicity in data processing (as used in method analysis). This method is applicable not only to quantitative issues but also to the analysis of qualitative problems.
For the research problem addressed in this paper, staff from companies and research institutions in the marine seed industry technology innovation field were selected as experts to score the preliminary screening indicators. The ten invited experts hail from prestigious institutions including Shandong Marine Limited Company, Shandong New Sunshine Seed Industry Science and Technology Limited Company, Tongji University, Xiamen University, the First Institute of Natural Resources Ministry, and the Chinese Academy of Sciences' Institute of Oceanography. The expert consultation process was conducted in two phases: the first round involved distributing questionnaires to the experts who assessed each indicator based on their knowledge and experience to collect baseline data. The scoring was designed according to the Likert 7-point scale method, as shown in Table 2. The second round involved detailed processing of the collected data; through further consultation with the experts, we discussed the threshold setting standards for each sub-indicator system and sought expert advice on retaining, eliminating, or merging indicators.
Although the GEM has been applied to critically screen the indicators for the valuation of intellectual property in marine seed industry innovation, the selected indicators may still exhibit some degree of correlation. According to the principle of diversity in the design of the assessment indicator system, excessive correlation among indicators can reduce the precision and practicality of the evaluation results. Therefore, maintaining an appropriate level of independence among indicators is crucial for constructing a scientifically sound and rational assessment system. By employing Pearson correlation analysis, it is possible to effectively identify highly correlated indicators, which often provide overlapping information. Consequently, merging or eliminating these highly correlated indicators from the assessment system is an essential step in ensuring the effectiveness and accuracy of the indicator system. Through this approach, we ensure the independence and scientific integrity of the assessment indicator system, enhancing the reliability and utility of the overall evaluation model.

本研究采用群体特征值法（Group Eigenvalue Method，GEM）筛选关键指标，旨在提升价值评估的准确性。该方法的核心优势在于，可有效克服层次分析法（Analytic Hierarchy Process，AHP）判断矩阵中常见的不一致性问题。此外，其数据处理流程简便（适用于方法学分析场景），既可应对定量研究问题，亦可用于定性问题的分析。
针对本文所研究的问题，本研究遴选海洋种业技术创新领域的企业与科研机构人员作为专家，对初步筛选出的指标进行评分。本次邀请的10位专家均来自多个知名机构，包括山东海洋集团有限公司、山东新阳光种业科技有限公司、同济大学、厦门大学、自然资源部第一海洋研究所以及中国科学院海洋研究所。专家咨询流程分为两个阶段：第一轮为向专家发放问卷，由专家结合自身知识与经验对各项指标进行评估，以收集基础数据；评分采用李克特7分量表法，具体说明详见表2。第二轮则对收集到的数据进行精细化处理：通过与专家进一步沟通，讨论各子指标体系的阈值设定标准，并就指标的保留、剔除与合并征询专家意见。
尽管已采用GEM对海洋种业创新中的知识产权价值评估指标进行严格筛选，但最终选取的指标仍可能存在一定程度的相关性。根据评估指标体系设计的多样性原则，指标间过高的相关性会降低评估结果的精准性与实用性。因此，维持指标间适度的独立性，对于构建科学合理的评估体系至关重要。通过皮尔逊相关性分析，可有效识别出相关性较高的指标——这类指标往往存在信息重叠问题。因此，从评估体系中合并或剔除这类高相关性指标，是保障指标体系有效性与准确性的必要步骤。通过该流程，可确保评估指标体系的独立性与科学严谨性，进而提升整体评估模型的可靠性与实用价值。