The 21st Century Business Herald reporter learned that Jiang Haoran, member of the CPPCC National Committee and Cashway Fintech Co.Ltd(603106) chairman, brought a number of proposals this year, including “using digital and intelligent means to optimize the bank loan approval mechanism”.
In an interview with 21st Century Business Herald on March 4, Jiang Haoran said that when China’s financing structure is dominated by indirect financing, credit funds play a greater role in economic development. Its scale and investment structure have a direct impact on the quality of macroeconomic development and economic structure adjustment.
“The optimization of loan approval process can invest more credit funds in key areas and weak links.” He believes that in terms of green development, credit support for green development and scientific and technological innovation can be increased to promote the realization of the “double carbon” goal. In terms of optimizing and stabilizing the industrial chain and supply chain, we can increase credit support for high-tech manufacturing and small and micro enterprises, increase medium and long-term loans for manufacturing, and give play to the leading and supporting role of large enterprises and the cooperation and supporting role of small, medium and micro enterprises. In promoting the coordinated development of urban and rural regional economy, we can increase credit in rural areas and economically difficult areas according to local conditions, and strictly control the inflow of credit funds for industries with high energy consumption, high pollution and overcapacity, which will effectively coordinate regional economic development.
As we all know, small, medium and micro enterprises are an indispensable force in national economic and social development. In recent years, the state has issued a series of supportive policies such as tax reduction and fee reduction to alleviate the operating pressure of small, medium-sized and micro enterprises, continuously expand enterprise financing channels and increase the direct flow of funds to enterprises. However, in the process of specific operation, the progress of financial institutions using big data, artificial intelligence and other technologies to establish an efficient loan approval model is not fast enough. The risk control strategy still relies on traditional mortgages, guarantees, etc. the personal small loan approval mechanism based on big data intelligent risk control technology has not been effectively utilized to the enterprise loan platform.
Jiang Haoran pointed out in the proposal that in the next step, we need to accelerate the use of digital and intelligent means, optimize the bank loan approval mechanism, and help solve the problems of difficult and expensive loans for small, medium-sized and micro enterprises. In this regard, his suggestions are as follows:
First, continue to improve the loan approval mechanism of financial institutions and guide the upgrading of risk control system. It is suggested that the China Banking and Insurance Regulatory Commission (CIRC) should take the lead in setting up a reform group on the bank loan approval mechanism to guide financial institutions to strengthen the integrated application of financial institutions and data resources such as justice, social security, industry and commerce, taxation, water and electricity in the mode of “emphasizing subjects and strengthening data”, so as to increase the real-time grasp of enterprise operation conditions and reduce the dependence on traditional means, Through accurate corporate portraits, we can dynamically evaluate the repayment status and ability of loans of small, medium-sized and micro enterprises, and whether through policy guidance, financial institutions can quickly approve loans of less than 20 million yuan through intelligent risk control means in a certain proportion within a certain period of time.
The second is to clarify the norms of enterprise data use and strengthen the ability of data management. The data has dynamic attributes. It is suggested that the regulatory authorities should take the lead to clarify the data use specifications of financial institutions for risk control, guide financial institutions to strengthen the collection and identification of business data, make full use of intelligent technologies such as data mining and machine learning, strengthen the monitoring of enterprise fixed-point and high-frequency transaction data, and effectively screen high-risk transactions, Improve the accuracy of financial business risk identification and disposal.
Third, strengthen the policy and financial support for the upgrading of the loan approval mechanism of financial institutions. It is suggested that relevant government departments jointly issue special policies and match special funds, increase the support for the upgrading of the bank’s automatic, online and intelligent loan approval mechanism, and promote the implementation of the risk control mode of “emphasizing subjects and strengthening data” as soon as possible. In particular, we will increase support for urban commercial banks and rural financial institutions, encourage them to make use of the advantages of grass-roots touch, dynamically evaluate the needs of small and decentralized enterprises, and promote the solution of the problem of difficult and expensive loans for small, medium-sized and micro enterprises.
It is reported that during the two sessions last year, Jiang Haoran submitted a proposal on strengthening the integration of data elements and unblocking the channel of data sharing. He also put forward suggestions on accelerating the legislative consultation on data collection and data use, clarifying the process and authority of data collection and use, and ensuring the safety of enterprise and personal data.
On September 1, 2021, the data security law and the regulations on security protection of key information infrastructure were officially implemented; On November 1, the personal information protection law was officially implemented; On November 18, the state Anti Monopoly Bureau was officially listed.
Jiang Haoran pointed out that after the completion of relevant legislation, the boundary and road of big data intelligent risk control have been clarified, providing an environment for the healthy development of the industry. I believe that in the future, the industry will continue to optimize data mining collection efficiency and artificial intelligence algorithms, realize the standardization of data of financial institutions and financial technology companies, and accelerate the implementation of various scenarios.
