With the development of the Internet age, the gradual deepening of reforms, and the continuous improvement of marketization, the financial ecological environment is directly related to the risk of financial institutions’ loans and the enthusiasm to support local economic development. Capital is accompanied by the physical development and evolution of the production and circulation of goods. After thousands of years of historical development and evolution, it has formulated its own development law and internal logic. In view of the unclear environmental and social evaluation indicators in supply chain research and the model’s failure to accurately describe the real supply chain network, an adaptive dynamic relaxation approximation algorithm model is proposed. This model introduces upstream and downstream transit stations as distributors and as a hub between customers, the transportation mode is improved to horizontal and vertical coordinated transportation, and multiple transportation methods are used for transportation. In this paper, the experimental group adopts a new model based on the approximate algorithm of dynamic relaxation factors, and the control group adopts the original old model. The two groups conduct comprehensive data analysis on social indicators, self-indicators, initial indicators, economic indicators, and environmental indicators in each year. Starting from the dimension, comprehensively consider the selection of indicators to measure the level of enterprise performance. The experiment proves that the transportation loss in the green supply chain is between the new model and the old model. When the number of partners is small, the degree of the optimal solution between the new and old models is not obvious, and the degree of optimization of the new model relative to the old model is increasing. It has a significant statistical difference (). This shows that efforts to build a good financial ecological environment and an honest and reliable and healthy economic ecological environment are of great importance for promoting the continuous and rapid growth of the social economy.

中文翻译：

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“互联网+”背景下构建供应链金融云生态环境的环境与经济路径选择

随着互联网时代的发展，改革的逐步深入和市场化的不断完善，金融生态环境直接关系到金融机构贷款的风险和支持地方经济发展的积极性。资本伴随着商品生产和流通的物质发展和演变。经过数千年的历史发展和演变，它制定了自己的发展规律和内部逻辑。鉴于供应链研究中环境和社会评价指标不明确，以及该模型无法准确描述真实的供应链网络，提出了一种自适应动态松弛近似算法模型。该模型引入了上游和下游运输站作为分销商和客户之间的枢纽，将运输方式改进为水平和垂直协调运输，并使用了多种运输方式进行运输。在本文中，实验组采用基于动态松弛因子近似算法的新模型，而对照组则采用原始的旧模型。两组每年对社会指标，自我指标，初始指标，经济指标和环境指标进行全面的数据分析。从维度出发，全面考虑指标的选择，以衡量企业绩效水平。实验证明，绿色供应链中的运输损失介于新模型和旧模型之间。当伙伴数较少时，新旧模型之间的最优解程度不明显，相对于旧模型，新模型的优化程度不断提高。它具有明显的统计差异（）。这说明建立良好的金融生态环境和诚实守信健康的经济生态环境的努力对于促进社会经济的持续快速增长具有重要意义。