At present, China’s economic development has made unprecedented progress, but it is also facing a severe situation, and the environmental carrying capacity has almost reached its limit. For this reason, the government vigorously promotes the construction of ecological civilization and advocates green development, circular development, and low-carbon development. Enterprise green operation is a business activity that integrates environmental protection into the whole process of enterprise operation and management. It requires the guiding ideology of business operations and every link of business management to be based on environmental protection. The purpose of this article is to solve the problems between the development of corporate GDP and green protection and analyze the impact of green business development policies on China’s corporate GDP. In order to further clarify the impact of green development on social development of Chinese enterprises, this paper investigates the economic and environmental aspects of green transformation enterprises nationwide. The research results show that China’s green enterprise development has achieved remarkable development achievements. The average growth rate of China’s green development GDP in recent years has begun to significantly exceed the average growth rate of green GDP over the same period. The average annual growth rate of the enterprise’s total economic growth of green environmental protection GDP has reached 11.58%, surpassing the average growth rate of the green GDP economy of the same period of 0.12%. Chinese companies have also achieved impressive corporate achievements following the implementation of the national guidelines for green development. For the first time in 31 inland provinces, municipalities, and autonomous regions in China, chemical companies have achieved green production, and the average GDP growth rate has reached 8.75% for the first time.

With the continuous progress of blockchain technology, how to use it for commodity traceability has become a concern. This study mainly discusses the Internet of Things supervision system and supply chain financial supervision method based on blockchain technology. The whole blockchain network is a decentralized system, which consists of six layers: data layer, network layer, and consensus layer. These three layers are the foundation layer; the other three layers are incentive layer, contract layer, and application layer. The interface of the platform needs to be conceived in combination with the business of building materials. According to the functional differentiation, the required interfaces mainly include information generation interface, information verification, information retrieval, and other information interfaces. Smart contracts can process data, operate asset transactions, manage smart assets, and expand the ability of blockchain to use data. In this way, the blockchain technology can trace the source of the data, so as to ensure the authenticity and security of the data. Blockchain technology can be used in data tracking. Specifically, in the building materials industry, with the help of blockchain technology, building material mixing enterprises can see the raw materials such as sand and gravel purchased under the order, the region where they are produced, the time point of transportation, the carrier, etc. In the process of supply chain financial supervision experiment, when the pledge rate of building materials is within the range of [0.4206,1], the bank income under the block chain mode is higher. The system designed in this study realizes the certification and traceability of building materials and has good use value.

With the gradual development and improvement of the financial market, financial derivatives such as futures and options have also become the objects of competition in the financial market. Therefore, how to make the most favorable and optimized investment and consumption when options are included? It has become a problem facing investors. Aiming at the optimal investment problem of investors, this paper studies the calculation of an optimal investment strategy in stochastic differential equations in financial market options on the basis of fuzzy theory. Now, stochastic calculus has become an important branch of stochastic analysis, finance, control, and other fields. The study of introducing stochastic differential equations is mainly to solve the stochastic control problem, which is the principle of the stochastic maximum. In finance, some hedging or pricing problems of contingent rights can eventually be transformed into a series of stochastic differential equations. Based on the historical data of five aspects of bank deposits, bonds, funds, stocks, and real estate of four listed insurance companies, the paper analyzes the optimization strategy of the capital investment of listed insurance companies based on the investment yield of the domestic investment market. According to the final results, the historical proportion of bank deposits of the superior company is 27%, and the optimal proportion given by the model is 25%; the total proportion of funds and stocks is 15%, and the optimal proportion of funds analyzed in the model is 20% and the optimal proportion of stocks is 10%. Therefore, the final results show that the investment efficiency of listed insurance companies can actually increase investment in stocks and funds and reduce the proportion of bank deposits to obtain greater investment returns.