What is financial authorization?

What are the financial empowerment? The content is as follows:

With the development and application of Internet technology and the rapid development of social and economic model, the scientific and technological revolution represented by technologies such as cloud computing, artificial intelligence, big data, blockchain, Internet of Things and 5G has changed the boundary and research paradigm of financial science. With the continuous integration of various emerging technologies and financial services, the role of science and technology in finance has been continuously strengthened, which will fully empower the development of green finance.

Financial technology can be applied and explored from three aspects:

First, assist in formulating relevant green financial standards.

Improve risk management and control with the help of financial technology, and fundamentally solve the problems of "false green", "false green" and "washing green". For example, according to the differences of green identification standards, big data technology can be used to analyze the attribute changes of green projects in real time, so as to adjust the policies related to green finance and guide the implementation of green funds.

The second is to alleviate information asymmetry and reduce the cost of green identification and risk management.

The existence of information asymmetry increases the identification and risk management costs of financial institutions. Use big data for real-time data analysis, or use blockchain technology to solve the problem of fund penetration management because of its decentralization, information concealment and non-tampering.

You can also build a large-scale science and technology ecosystem based on a large-scale science and technology platform, which contains a large number of digital footprints, such as business flows, revenue trends, trading networks and so on. This information can effectively reflect the user's behavior characteristics, financial status, social network and other information, provide a lot of data support for the green identification and risk management of financial institutions, and effectively reduce the identification and risk management costs of financial institutions.

For example, the green credit management system developed by Huzhou Bank with the help of financial technology, relying on the two modules of green credit identification and environmental risk management, through big data capture and intelligent identification, based on the green identification of more than 42,000 businesses and the environmental benefit evaluation of about 700 project loans, the approval time and submission time of green credit of Huzhou Bank were shortened to 1/3 respectively, which greatly shortened the financing time of enterprises and indirectly reduced the financing cost for enterprises by more than 30 million yuan.

The third is to promote the innovation of green financial products and services.

All kinds of financial institutions realize the overall grasp of the green financial market through the application of financial technology. For example, through the application of big data and cloud computing, "green portraits" are made for users, and the risk assessment model indicators are continuously iterated in dynamic analysis in a low-cost and extensible form. Or through personalized customization and precision marketing, help financial institutions to create personalized and accurate investment and financing solutions for customers and enhance the user experience.

In addition, based on the distributed database architecture, enterprises will develop a green credit model with energy use rights and emission rights as pledges to help establish a mature and complete green credit system.

At the same time, the carbon emissions of personal daily consumption behaviors such as public transportation and online payment are calculated in real time for individuals, and the carbon footprint of users is displayed in intuitive forms such as images, which reflects the specific impact of residents' lifestyles on the environment, helps them to establish environmental awareness, and gives corresponding incentives to individual green behavior choices, thus realizing "carbon emission reduction trading" and enhancing the adaptability of green transformation and development of financial services entity economy.

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