As the world's largest data producer, China not only has the world's largest amount of real-time data, but also has the largest number of people online in terms of consumer data, and the longest time people spend on the Internet, with 1.2 billion people spending about 7 hours on mobile devices every day, and consumers spending a total of 8 billion hours online, which makes China's market potential in the field of digital consumption huge, and also makes China a veritable "data country".
In an era where factors of production are the basic components of economic activity and the foundation for the creation of social wealth, the proliferation of digital technologies such as the Internet and next-generation communications has brought convenience to connectivity and sharing, driving exponential growth in the scale of data. At the same time, technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence have greatly reduced the cost of data collection, storage, processing, and analysis. In the context of accelerating digitalization, networking, and intelligence, data has become an indispensable factor of production in economic activities and a key driving force for economic growth.
Compared with traditional factors of production, the data presents significant uniqueness. The complexity of data ownership transcends land and labor, and the value density of data is uneven compared to capital. From the perspective of positive effects, its high liquidity and low-cost replication characteristics, as well as the advantages of increasing returns, help to improve the efficiency of resource allocation, create new industries and models, and then realize the multiplier effect of economic development. Correspondingly, it also brings negative threats such as privacy leakage, data abuse, and widening income disparities. Therefore, how to give full play to the role of data has become an important issue that needs to be considered by China and enterprises.
At present, the following four aspects are the most critical in the development path of data:
First, the system construction
The data landscape is evolving rapidly, and top-level design must keep up with real-world practices. At present, all localities and departments are carrying out breakthrough exploration attempts of innovation first, and carry out market-oriented allocation of data elements in different industries and fields according to specific conditions. Only by finding out the laws of the development of the digital economy from practice can we improve a set of top-level designs that can be implemented for a long time, so as to build a set of data infrastructure systems that are complete, scientific, reasonable, and coordinated.
2. Data circulation and utilization
Data circulation is "usable but invisible", and in order to ensure data security and reduce the risk of leakage, it is necessary to realize the management and control of data. At present, the best way is to build a data infrastructure, build a trusted circulation system, and use multi-party secure computing, blockchain and other technical means to ensure that the first party can effectively control the purpose, method and flow direction of data use, and achieve "controllable and measurable".
3. Income distribution
Data has the characteristics of increasing returns, but the situation that the strong are getting stronger and the weak is getting weaker has become an inevitable development trend. **It is expected to play a guiding and regulating role to achieve the efficiency and fairness of data property rights, circulation transactions, income distribution and other processesEnterprises expect the market to determine the remuneration, determine the market through supply and demand, and improve the efficiency of income distribution through the distribution of remuneration. In order to truly achieve harmony between the two parties, it is necessary for all parties to work together and contribute wisdom.
Fourth, security governance
The digital economy with data as the key element is highly innovative, wide coverage, and strong penetration, which not only expands and extends traditional productivity, but also poses challenges to traditional regulatory models. In order to achieve data security governance, it is necessary to aggregate and integrate a variety of advanced and different types of data, and it is necessary to realize the reuse of data in different scenarios and different fields to obtain a stable and standardized security governance plan.
Although in the face of the increasingly severe negative threat brought by data, the road to development is long and difficult, but with the momentum of economic development and economic recovery brought by data, China, as a major country in data elements and data market, has to take key data industries and data application scenarios as the lead. It is believed that with the long-term construction of all aspects of the data field, the multiplier effect can finally be brought into play and the overall economy can be accelerated by data elements.
Text: Entrepreneurship in the world - Junyan