Reasonable siting layout of reserve emergency supplies plays a critical role in rapid response and accurate rescue after disaster. People’s life safety and health, as well as the psychological satisfaction brought by the government’s excellent emergency rescue level, is an important guarantee for maintaining social stability and sustainable development. Based on the coverage model, considering demand graduation, this paper develops a bi-objective optimization model to determine the optimal location plan of graduated supplies by maximizing the rescue satisfaction and minimizing the number of warehouses. A heuristic multi-center clustering location algorithm is designed to solve the model. This model is applied to the prepositioning of emergency supplies in an earthquake affected area in Sichuan province, China to verify the effectiveness of the model and algorithm. Finally, the paper discusses the influence of demand graduation on the location of emergency supplies. The results show that reasonable location planning of different levels of supplies can effectively improve the rescue satisfaction.

The development of green innovation in the manufacturing industry is crucial for sustainability, as it can lead to significant environmental and economic benefits. Meanwhile, the impact of digital transformation on green innovation in the manufacturing industry has been proven to be significant in a previous study. To further explore the impact of digital transformation on the development of green innovation in the manufacturing industry under the dual carbon goal, this article selects data from Chinese A-share manufacturing listed companies from 2013 to 2022 as the observation sample, proposes research hypotheses based on stakeholder theory, and conducts empirical analysis. The results indicate that digital transformation can significantly promote the development of green innovation in the manufacturing industry, which is transmitted through corporate environmental responsibility. Corporate environmental responsibility plays a partial mediating role in the impact of digital transformation on the development of green innovation. Meanwhile, media attention can strengthen the positive impact of digital transformation on green innovation. In heterogeneity analysis, it was found that the higher the institutional shareholding and analyst attention, the more likely a company’s digital transformation can promote green innovation. In addition, by comparing and analyzing the data of the two years before and after the proposal of the dual carbon target, it was found that the incentive effect of the dual carbon target did not achieve the expected effect in this article, which may be related to the short time of the proposal of the dual carbon target and the impact of the epidemic.

The effective distribution of public storage materials is the key to realizing rapid and accurate rescue of territories, which could truly solve the “last kilometer” problem of emergency rescue. At present, it is relatively rare to study the rapid and accurate distribution of emergency supplies by taking demand forecasts, emergency reserves, and distribution models as an organic whole. In view of the bottleneck of rapid and accurate rescue in the complex disaster environment, this paper selects various means such as field research, literature retrieval, and previous case analysis and uses the system analysis method. Next, this paper explains that the three main factors that affect the distribution of public storage materials are the demand of “black box”, the scarcity of materials, and the blindness of distribution and constructs an effective analysis framework of demand predictability, material availability, and distribution accuracy. Finally, this paper puts forward the triangle structure framework of demand forecasting, virtual public storage, and comprehensive distribution and further explains the triangle structure relationship, operation mechanism, and operation strategy of effective distribution of public storage materials.

With the rapid development of e-commerce, the participants of the supply chain collaboration turn into all of the node enterprises involved in. Based on the analysis of the problems existing in the supply chain collaboration, the demands and the collaboration objects, and under the guidance of the ability to adapt to the unpredictable customer needs, this paper takes the rapid reconstruction of the dynamic alliance and combines with the internet technologies to design the framework of the e-commerce platform system in collaboration with supply chain, to develop the standard structure of the platform and analyze the functions of the application system of the platform, so as to provide reference for the development of the e-commerce in collaboration with the supply chain.

There are many kinds and large scale of agricultural products in Henan Province of China. To research on regional logistics capacity of agricultural products is helpful for us to understand the advantages and disadvantages of agricultural products logistics capacity. However, there are many influencing factors and large complexity in the evaluation of agricultural product logistics ability, so it is necessary to establish a scientific variable system. In this paper, 10 variables are selected from three dimensions which are regional economic variables, regional basic variable, and regional development variable, therefore the variable system is constructed. The regional agricultural product logistics capability of 18 cities in Henan Province is evaluated by factor analysis and Cluster Analysis. It is found that logistics development is different among these cities with the low efficiency and high loss of agricultural product logistics. In addition, on the basis of conclusion of the analysis, some suggestions are putting forward to promote the development of agricultural products logistics.