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The industrial green technology innovation of a region is of great significance for promoting the high-quality development of the regional economy and promoting the construction of ecological civilization. Based on the panel data of 30 provinces (except Tibet) in China from 2010 to 2020, this paper uses the Data Envelopment Analysis model adding unexpected output to measure China’s industrial green technology innovation efficiency (IGTIE) under the common Frontier and regional Frontier. The results show that: 1) The industrial green technology innovation efficiency generally shows an upward trend, which is mainly due to technical progress and efficiency improvement. Under the common Frontier, IGTIE has an average annual growth of 6.54%, and under the regional Frontier, IGTIE has an average annual growth of 6.77%. 2) Whether under the common Frontier or the regional Frontier, the central region has obvious advantages in IGTIE compared with the western region and the eastern region. 3) Under the two frontiers, the western region is dominated by efficiency change. Finally, according to the empirical analysis results, specific policy recommendations are put forward for the improvement of China’s future industrial green technology innovation efficiency.

The current supply chain finance risk management has problems such as asymmetric operation information and difficult risk control, for this reason, this paper proposes a research on supply chain finance risk management based on block chain technology. Combining the technical characteristics of block chain and the business model of supply chain finance, we analyze the causes of its operational risk, trade authenticity risk, payback risk and contingency risk, and use the physical sensors to react and track data in real time to improve the efficiency of supply chain risk control; replace the signing of legal documents in various disciplines with electronic signatures to solve the problem of trade authenticity risk; program the transaction contract and contract-related clauses to provide trust for both sides of the transaction and improve transaction efficiency. Implement a comprehensive risk management strategy, design early warning and emergency management processes, and realize supply chain financial risk management based on block chain technology.

The introduction of green credit policy provides an important idea to solve the contradiction between economic development and environmental protection. Based on fuzzy-set Qualitative Comparative Analysis (fsQCA) method, from the perspective of bank governance structure, this paper selects ownership concentration, independence of the Board, executive incentive, activity of Supervisory Board, degree of market competition and loan quality as antecedent variables to analyze the path of their impact on green credit. It is found that: (1) The main way to achieve high-level green credit is high ownership concentration and good loan quality. (2) The configuration of green credit has causal asymmetry. (3) Ownership structure is the most important factor affecting green credit. (4) There is a substitution between the low independence of the Board and the low executive incentive. The low activity of Supervisory Board and the poor loan quality are also substitutable to a certain extent. The research conclusion of this paper is helpful to improve the green credit level of Chinese banks and win the green reputation for banks.

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