We use Word2vec to develop a financial sentiment dictionary from 3.1 million Chinese-language financial news articles. Our dictionary maps semantically similar words to a subset of human-expert generated financial sentiment words. In validation tests, our dictionary scores the sentiment of articles consistently with human reading of full articles. In return association tests, our dictionary outperforms and subsumes previous Chinese financial sentiment dictionaries, such as direct translations of Loughran and McDonald’s (2011) English-language financial dictionary. We also generate a list of politically-related positive words that is unique to China; we find that this list has a weaker association with returns than does the list of other positive words. We demonstrate that state media uses more politically-related positive and fewer negative words, and exhibits a sentiment bias. This bias renders the state media’s sentiment as less return-informative. Our findings demonstrate that dictionary-based sentiment analysis exhibits strong language and domain specificity.

As environmental pollution becomes more serious, green supply chain management has gradually become a research hotspot. However, the fact is often ignored that many companies are small‐ and medium‐sized enterprises. They do not have enough capital to make green decisions. This paper studies a green supply chain financing system, including a green manufacturer and a capital‐constrained retailer and analyzes the effect of credit insurance on financing and product's green level. We consider consumers have a green preference. The retailer can finance through two methods: bank credit financing and trade credit financing. We find the manufacturer's financing preference is closely related to unit production cost and green investment cost coefficient. When the unit production cost is low, and the green investment cost coefficient is high, or the unit production cost is high, and the green investment cost coefficient is in the middle threshold, the manufacturer prefers to actively provide trade credit financing for the capital‐constrained retailer. And, in the former case, trade credit financing can also enhance the green level of the supply chain. Finally, we also find that credit insurance can mitigate the default risk of the retailer and help the manufacturer improve profits but cannot improve the product's green level.

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In this paper, the home delivery mode of fresh food in chain supermarket under new retail was studied, including its operation model, organizational structure, business process, to find the best implementation model of the "last kilometer". At the same time, the cold chain logistics information system was constructed to meet the customer's purchase demand, and realize the information sharing of the stakeholders, such as suppliers, supermarket chains, distribution personnel, etc. and provide the basis for supermarket chains and related traditional retail enterprises to deal with the change of trade form.