Factors of production after optimization.

Marine fishery carbon emissions play a significant role in agricultural carbon emissions, making resource allocation a crucial topic for the overall marine ecological protection. This paper evaluates the dynamic iteration method as a research approach with the factors of resource allocation consisting of value assessment, optimization objective, difference between value assessment and objective, and optimization calculation. The paper selects the shadow price from the Super-SBM model as the judgment function for the goal value, aiming for the fairness criterion. From an equity standpoint, the allocation of carbon resources in marine capture fisheries proves to be unreasonable. The fishery model exhibits an excessive supply of carbon resources, resulting in wastage, while the green fishery model faces a relatively limited supply, with a focus on energy conservation and environmental protection. To address this issue, this paper proposes a new method and discusses the corrective results. This result shows that the stabilization point achieved is a short-term equilibrium rather than a long-term one. By rectifying the social contradiction of profit-oriented approaches, this research provides a fresh perspective for economic studies and applications, particularly in industrial layout and resource utilization optimization.

海洋渔业碳排放是农业碳排放的重要组成部分，因此资源配置成为海洋生态环境保护全局中的关键议题。本文以价值评估、优化目标、价值评估与目标差值及优化计算等资源配置要素为框架，对动态迭代法这一研究路径展开评估。本文选取超效率基于松弛的测度模型（Super-SBM）的影子价格作为目标价值的判定函数，以公平性准则为优化导向。从公平性视角来看，海洋捕捞业的碳资源配置现状并不合理：传统渔业模式下碳资源供给过剩，造成资源浪费；而以节能环保为核心的绿色渔业模式则面临碳资源供给相对不足的困境。为解决这一问题，本文提出一种全新的研究方法，并对其修正效果展开探讨。研究结果表明，所达成的稳定点仅为短期均衡，而非长期均衡状态。通过修正以逐利为导向的模式所引发的社会矛盾，本研究为经济学研究与实践应用——尤其是产业布局与资源利用优化领域——提供了全新的研究视角。