Without sufficient collateral, the entrepreneur Yang Jianxiong still successfully applied for a start-up fund of 200,000 yuan through the online financial service hall, which became easier only because Yichang has flexibly used government data to depict the "portrait" of enterprise credit. Recently, the reporter learned from the Municipal Local Financial Work Bureau that the 6 billion pieces of government data collected by Yichang smart city construction have all been connected to the online financial service hall, and become the basis for bank access and rating.

　　Lack of collateral and opaque information are the crux of financing difficulties for small and medium-sized enterprises. In the past, due to the incomplete information of credit investigation system, banks had to control risks through mortgage, guarantee and other means when granting credit. However, this approach has a high threshold for many enterprises, especially light asset enterprises such as cultural and creative enterprises, Internet and start-ups.

　　In fact, in addition to the information held by banks, there are many data that can reflect the financial status and repayment ability of enterprises. For example, the tax payment of a company can judge the development of the enterprises; the use of electricity, water, and gas can judge the production status of the enterprises; the accumulation of social funds and social security can determine the size and operation of the employees.

　　In order to “wake up” the “sleeping” information, Yichang launched the “Data Access, Migration and Synchronism” project, focusing on the key points of informatization of enterprises, and collecting more than 6 billion pieces of data from 32 units , including Human Resources and Social Security Bureau, Bureau of Civil Affairs and Bureau of Public Security, and focusing on connecting traffic data, such as taxation to the platform that empowers credit data finance.

　　When the daily "clues" are collected and connected into the system, the corporate "image" of credit is gradually becoming clear. Enterprises that are in normal operation, commended, and subsidized will be labeled as “high quality”; on the contrary, enterprises that fail to submit annual reports, wage arrears, malice in payment of electricity, etc., may be included in the"blacklist" of loan support.

　　"With the support of government data, banks dare to provide, can provide and receive the loan back." Hu Jiangli, general manager of personal credit department of Three Gorges Branch of Agricultural Bank of China, said that the bank would pay more attention to serving high-quality enterprises, and give preferential policies in terms of credit line, interest rate and loan period to help enterprises get through difficulties. The head of the Investment and Guarantee Co. Ltd. for small and medium-sized enterprises of Yichang also believed that the government data accurately depicts the "portrait" of the enterprise, so that the guarantee institutions can serve the small and medium-sized enterprises with more confidence in risk prevention and sustainable development.

　　The person in charge told the reporter that in recent years, Yichang has set up the credit policies, such as the prohibition of no loans to enterprises, early recovery of loans and retaining to cover loans through ’’double decline” in total non-performing loans and non-performing loan ratios, among which, the non-performing loan rate reached 1.1% at the end of September in 2019, the lowest level in Hubei province. (Reporter: Yang Jing; Correspondent: Yang Ming)