COVID-19 has created a strong demand for supply chain finance (SCF) for small and medium-sized enterprises (SMEs). However, the rapid development of SCF leads to more complex credit risks. How to effectively discriminate and manage SMEs to reduce credit risk has become one of the most critical issues in SCF. In addition, sustainable SCF (SSCF) has received increasing attention, and credit risk management is important to achieve SSCF. Therefore, it is significant to identify the key factors influencing the credit risk of SMEs and construct a prediction model to promote SSCF. This study uses the lasso-logistic model to identify factors influencing the credit risk of SMEs and to predict the credit risk of SMEs. The empirical results show that (i) the key factors influencing SMEs’ credit risk include six variables—the matching degree of order data, ratio of contract enforcement, number of contract defaults, degree of business concentration, and number of administrative penalties; and (ii) the lasso-logistic model can identify the key factors influencing credit risk and have a better prediction performance. Moreover, transaction credit and reputation supervision significantly influence the credit risk of SMEs.

This paper aims at the promotion of the application of inclusive financing into transportation capacity financing by combining transportation capacity supply chain with block chain technology as a brand-new financing topic. It focuses on the influencing mechanism by block chain on credit access, credit line, and credit supervision. From the perspective of “transportation” finance, the application of block chain in different scenarios is demonstrated after analyzing the attenuation process of credit transmission in the supply chain, the reviewing of two credit line evaluation methods of business self-compensation and credit guarantee, and the reviewing of regulatory requirements in transaction closed-loop, delivery closed-loop, and capital closed-loop; therefore the 3 major influencing mechanisms by block chain on the transportation capacity supply chain financing credit granting are discovered, indicating the effective improvement of financial institutions participation and better credit line for the financing of micro, medium, and small transportation enterprises (SMEs) by the application of block chain technology.

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This study analyses the effectiveness of vertical integration for motion pictures’ box office revenues and the moderating effects of environmental uncertainty on China’s film industry, where a market economy was introduced in 2002. We analyzed a sample of 1,824 films released between 2005 and 2016 using a PROCESS model. We found strong evidence that vertical integration positively influenced box office revenues, which were higher under greater environmental uncertainty post reforms than under relative stability. We also found films that (1) had major producers or distributors, (2) were based on intellectual property, (3) belonged to the action or fantasy genre, or (4) featured superstars performed better. This study demonstrates the current operating level of the market economy in China’s film industry and offers a unique, fresh dataset comprising almost all films released in Mainland China and produced by enterprises in Greater China.