Climate change poses severe challenges to global survival and development, but it also provides unprecedented historical opportunities for the green transformation of the economy. The rapid rise of artificial intelligence and the digital economy has opened up new space for my country's economic transformation and innovative development. Recently, the first "Carbon and Data New Elements Forum" and China Evaluation Forum (2024) hosted by Fudan University and the Central University of Finance and Economics was held at Fudan University.
[The government and state-owned enterprises should release data for private enterprises]
"Without data, carbon reduction cannot be achieved at all." Jiang Xiaojuan, a professor at the University of China Academy of Social Sciences and former deputy secretary-general of the State Council, said in his keynote speech that achieving carbon peaking and carbon neutrality is an extensive and profound economic and social systemic change, and digital technology can help reduce carbon emissions in all scenarios and chains.
China's green transformation has achieved remarkable results. As of the end of June 2024, my country's renewable energy installed capacity has reached 1.65 billion kilowatts, accounting for 53.8% of the country's total installed capacity. In 2023, the national energy consumption and carbon emission intensity per unit of GDP will drop by 26% and more than 35% respectively compared with 2012. In 2023, China will far exceed other countries in the production and use of low-carbon technologies for various electric vehicles, electric pumps and other electric equipment. Among the top 15 global new installed wind power in 2022, there are 10 wind power companies in my country, and 19 in the global top 20 photovoltaic comprehensive ranking are China companies. my country's green industry already has strong international competitiveness.
To achieve emission reduction in the entire chain and entire scenarios, a large amount of technological innovation and application promotion are needed in various scenarios such as energy structure, production and consumption. Digital technology plays an irreplaceable and important role as a key enabling technology for green transformation. For example, in the industrial field, it helps traditional industries reduce energy consumption; in the construction field, reduce comprehensive energy consumption throughout the life cycle; in the transportation field, improve transportation efficiency of transportation networks and reduce carbon emissions; and in terms of carbon management, it helps carbon asset management and carbon emission tracking. Digitalization, etc.
New energy has the characteristics of multi-directional data interaction and real-time changes. It requires extremely high data aggregation and processing capabilities, and high-degree intelligence is a must. Jiang Xiaojuan believes that the government and state-owned enterprises are important holders of data, and the combination of "carbon and digital" will produce massive structured data. Therefore, it is necessary to not only enhance its own development capabilities, but also provide digital and intelligent services to the whole society, such as focusing on intelligence. Private enterprises in new energy businesses release data.
Jiang Xiaojuan introduced that the massive connection capabilities and huge computing power provided by digital technology allow the various forms of emissions and the contribution of emission reduction behaviors in environmental issues to be calculated on a large scale on the macro level and can be granular to individuals on the micro level. And dynamic footprints can be tracked. For example,"Ant Forest" uses digital technology to quantify and amplify individual green behaviors, which not only promotes green and low-carbon development, but also establishes 18 public welfare reserves in backward areas in 10 provinces across the country, protecting more than 1500 species of wild animals and plants.
[The scale of my country's digital economy has ranked second in the world for many consecutive years]
"Compared with traditional production factors such as land and capital, data elements are highly permeable and integrated, and can break through time and space constraints and be integrated into all aspects of production, distribution, circulation, consumption and social service management." Yu Weiping, deputy director of the Economic Committee of the 14th National Committee of the Chinese People's Political Consultative Conference and president of the China Asset Appraisal Association, said in his keynote speech.
Under the needs of the integrated development of the digital economy and the real economy, data elements have become the most advanced and active new production factors. They have not only given birth to emerging industries such as the platform economy, sharing economy, and computing power industry, but also achieved a leap in the industrial structure. It also promotes the digital transformation of traditional industries by empowering thousands of industries and becoming a new engine for building a modern industrial system and promoting high-quality economic and social development.
In recent years, the scale of my country's digital economy has continued to grow, growing rapidly from 11.2 trillion yuan in 2012 to 53.9 trillion yuan in 2023, ranking second in the world for many consecutive years. In 2023, the added value of my country's core digital economy industries will exceed 12 trillion yuan, accounting for 10% of GDP.
Yu Weiping believes that doing a good job in data asset evaluation will help accelerate the development and application of data assets, promote data transactions and circulation, and broaden financing channels.
my country's data dividend has huge potential. The ultra-large market generates massive data resources. The extensive and rich economic scenarios provide rich "soil" for the generation and application of data. But at the same time, as data assets explode in size and become more complex, data security is facing greater challenges.
In his view, it is difficult to identify the ownership of data elements and there are differences in pricing, which puts forward higher requirements for the management of data assets. He suggested strengthening the supervision of data asset evaluation business, promoting data security and transaction circulation, innovating the continuing education content of asset valuers, and strengthening special training on data asset evaluation. In the era of digital economy, the asset evaluation industry needs a large number of compound talents. Relevant universities and scientific research institutes must strengthen theoretical research and talent training, and expand the team of high-quality talents in the field of data asset evaluation.
[The carbon pricing model supported by Fudan achieves first phase results]
In recent years, Fudan University has taken a series of actions to promote the "double carbon" goal and high-quality development of the digital economy, especially in the fields of carbon and data assets, energy system transformation, and climate change.
Three industry-university-research results were released at the meeting--
First, the results of the international green fuel standards initiated by the Fudan University team include two specifications and standards: "Product Carbon Footprint-Product Category Rules-Biomethanol" and "Product Carbon Footprint-Product Category Rules-Electronic Methanol", which contribute to the decarbonization of the shipping industry. Contribute to the sustainable development of the energy industry.
The International Green Trade Platform is the first international comprehensive service platform sponsored by Fudan University focusing on green trade in import and export. It innovatively creates the first digital carbon service platform in China that integrates third-party institutional inventory and international certification. Based on this, the international green trade "Jinmaotong" project has been listed as one of the major projects implemented by the new Indonesian government.
Second, the carbon pricing model supported by Fudan University. This model is optimized and upgraded based on China's first carbon price index-the "Fudan Carbon Price Index" to more accurately capture the impact of policies and market trends on carbon prices, and improve asset management efficiency for relevant entities, improve carbon market pricing mechanisms, and promote the healthy development of the carbon market. It is of great significance. Currently, this model has achieved its first stage results.
Third, the data asset value evaluation model of Chain City Digital Science. This evaluation model, created by Hangzhou Liancheng Digital Technology Co., Ltd. and the Asset Evaluation Research Center of Fudan University, deeply explores the influence factors of data asset value, explores diversified application scenarios, and provides enterprises with an accurate and easy-to-use data asset evaluation tool.