Deepening the integration of data and reality to accelerate the cultivation and development of new quality productive forces

With the accelerated evolution of a new round of technological revolution and industrial transformation, the deep integration of the digital economy and the real economy has injected strong impetus into accelerating the formation of new quality productivity and promoting high-quality economic development. As a key new economic form leading the development of new quality productivity, the integration of data and reality plays an important role in the comprehensive optimization and reshaping of workers, labor materials, and labor objects.

To promote the integration of data and reality and play a greater role in promoting the formation of new quality productivity, it is necessary to strengthen the construction of digital infrastructure and consolidate the foundation for the development of new quality productivity; Improve the digital industry ecosystem and stimulate the potential for the development of new quality productivity; Give full play to the driving effect of data elements and unleash the development momentum of new quality productivity; Enhance the efficiency of digital government governance and unleash the vitality of new quality productivity development.

The intrinsic correlation between the integration of data and reality and new quality productivity

The deep integration of the digital economy and the real economy is a key strategic measure for China to seize the first mover advantage in the new round of technological revolution and industrial transformation. It is effectively promoting the digital transformation of traditional industries in terms of technological innovation, factor allocation, and structural optimization, and is the core driving force for accelerating and cultivating new quality productivity.

Integrating data and reality to optimize resource allocation and promote the emergence of new quality productivity. In the process of integrating data with reality, data, as a new type of production factor, is deeply integrated into the production and circulation links of the real economy. Through the network effect of value doubling, resources are optimized and reorganized, which is a key force in promoting the development of digital productivity. The integration of data and reality promotes the widespread application of digital technology in the real economy, which helps accelerate the flow and sharing of innovative factors, broaden the scope of innovation resources for real enterprises, and provide strong impetus for the transformation, upgrading, and innovative development of the real economy.

The integration of data and reality is used to promote industrial upgrading and the development of new quality productivity. The integration of data and reality promotes the breakthrough development of digital communication tools, augmented reality, virtual reality and other digital technologies, empowering the acquisition, accumulation, recombination and creation of technological knowledge in physical industries through digitization, and continuously promoting the deep integration of digital technology and traditional industries. The wide application of emerging technologies such as artificial intelligence and the Internet of Things has spawned new industries such as quantum information, high-end equipment manufacturing, big data analysis, and fostered new formats such as sharing economy, Internet health care, and online education. The rise and development of emerging industries promote the digital upgrading of industries, effectively driving the quality of economic development to rise, and injecting strong impetus into accelerating the formation of new quality productivity.

Theoretical logic of accelerating the formation of new quality productivity through the integration of data and reality

As a carrier of the development of new quality productivity, the integration of data and reality plays an important role in the innovation and upgrading of laborers, labor materials, and labor objects, mainly reflected in three dimensions: social macro, industrial meso, and enterprise micro.

Firstly, the integration of data and reality promotes the digital transformation of social production methods. At the macro level of society, the integration of data and reality promotes the digital transformation of social production methods, enhances the knowledge and skills of workers, promotes the better formation of new types of labor materials, and accelerates the fission of new types of labor objects.

One is to promote the digitization of production processes and enhance the knowledge and skills of workers. The digital and intelligent development of production processes drives workers to continuously learn new knowledge, master new technologies, and accelerate the rapid iteration and upgrading of labor skills. The second is to promote the platformization of production relations and facilitate the formation of new forms of labor. The integration of data and reality builds a digital production platform through intelligent and interconnected digital technologies. As a "new medium" of labor data, the digital production platform, with digital technology as its core, can widely collect and integrate various types of production data, and organically combine data with traditional production factors such as labor, capital, and technology to explore and realize the value of data and release the data multiplier effect. The third is to drive the decentralization of factor allocation and accelerate the fission of new types of labor objects. The widespread application of digital technologies such as blockchain, cloud computing, and big data has significantly reduced the cost of factor flow and improved the efficiency of factor supply and demand matching.

Secondly, the integration of data and reality promotes digital industrialization and industrial digitization. At the meso level, the integration of data and reality promotes digital industrialization and industrial digitization through collaboration, innovates the working methods of workers, drives the intelligent transformation of labor materials, and promotes the intangible transformation of labor objects.

One is to promote the construction of industry common technology platforms and innovate the working methods of workers. The integration of data and reality promotes the transformation of the real economy business model through the use of innovative technologies such as artificial intelligence and intelligent algorithms, which is conducive to cultivating and building a group of high-level and sophisticated research and development institutions and innovation platforms. The second is to accelerate the digital transformation of traditional industries and drive the intelligent transformation of labor materials. Supported by mature digital technology and powerful digital infrastructure, the integration of data and reality can effectively help the Internet, blockchain and other technical means to infiltrate and apply to traditional industries, promote the transformation of the real economy from "product manufacturing" to "manufacturing service-oriented", and promote the digital transformation of traditional industries. The third is to optimize the digital industry ecosystem and promote the non-material transformation of labor objects. Driven by digital technology, the integration of data and reality has fostered a series of new forms of digital economy based on digital technology, such as big data services and Internet healthcare, which is conducive to building a digital industry ecosystem of collaborative innovation and digital intelligence empowerment. A new production system characterized by industrial ecologicalization promotes the deep integration of digital technology and traditional labor objects, accelerating the expansion of labor objects into non-material resources such as data, information, and knowledge.

Once again, the integration of data and reality promotes the digital transformation and upgrading of enterprises. At the micro level, the integration of data and reality promotes the digital transformation and upgrading of enterprises, reshapes the structure of the labor market, improves the efficiency of labor material utilization, and refines the management of labor objects.

One is to empower enterprises to accelerate technological innovation and reshape the structure of the labor market. The application of digital technology drives enterprises to carry out digital transformation, improve the level of digitalization in product research and development, production and manufacturing, and further promote the transformation of the labor market from low skilled to high skilled. Workers need to constantly learn and improve their own quality and skill level. The second is to promote enterprises to optimize resource allocation and improve the efficiency of utilizing labor resources. The optimization of resource allocation has prompted enterprises to increase investment in the automation and intelligent upgrading of production processes. By introducing advanced automation equipment and intelligent control systems, enterprises can achieve automated operation and intelligent scheduling of the production process, thereby improving the overall utilization efficiency of equipment and creating development space for new quality productivity. The third is to drive the innovation of enterprise management mode and refine the management of labor objects. The integration of data and reality drives emerging technologies such as big data and artificial intelligence to empower the real economy, which is conducive to driving enterprises to break through traditional rigid and slow management models and achieve more flexible and adaptable management mechanisms.

The practical path of integrating data and reality to form new quality productivity

To ensure that the integration of data and reality plays a greater role in the formation and development of new quality productivity, it is necessary to further strengthen the construction of digital infrastructure, improve the digital industry ecosystem, leverage the driving effect of data elements, enhance the efficiency of digital government governance, and promote the formation of new quality productivity through the comprehensive and multi domain deep integration of digital economy and real economy.

Firstly, strengthen the construction of digital infrastructure and consolidate the foundation for the development of new quality productive forces. One is to accelerate the construction of new digital infrastructure. Accelerate the scientific layout and rational coordination of digital infrastructure such as 5G, the Internet of Things, and the Industrial Internet, provide high-speed and safe channels for data interactive transmission, and promote the efficient deployment and operation of various digital technologies. Optimize the layout of data centers, promote the transformation of scientific research achievements into applications, and help accelerate the marketization and industrialization of innovative achievements. The second is to strengthen the construction of digital innovation platforms. Establish an open, efficient, and secure digital innovation platform to effectively attract users, suppliers, research institutions, and others to collaborate on innovation, promote the flow and integration of various production factors, and accelerate the transformation of high-tech achievements into real productivity. Promote information sharing on digital innovation platforms, facilitate interconnectivity of devices, products, and services, empower the digital transformation of traditional infrastructure with digital innovation platforms, and cultivate new driving forces for economic development. The third is to strengthen the digital transformation of traditional infrastructure. Accelerate the layout of new generation information technologies such as big data and cloud computing, deeply integrate digital technology with traditional infrastructure, and empower the transformation and upgrading of traditional infrastructure such as transportation, water conservancy, and communication.

Secondly, improve the digital industry ecosystem and stimulate the potential for the development of new quality productivity. One is to cultivate new forms of digital economy. Promote innovative applications of new technologies such as the Internet of Things, blockchain, and metaverse in traditional industries, fully leverage the multiplier effect of digital technology, and cultivate new forms of online services such as online education, telemedicine, and digital financial services. The second is to optimize the innovation ecosystem of the digital industry. Strengthen the R&D investment of enterprises in key digital technology fields such as big data, cloud computing, and the Internet of Things, accelerate the transformation of R&D achievements, and create new business models and industrial forms. Centered around the leading industries, optimize the layout of the industrial chain, promote the extension of the industrial chain, facilitate cooperation and exchange among different enterprises within the digital industry, and form an innovative ecosystem of complementary advantages and coordinated development. The third is to enhance the level of digital governance. Establish a sound system of laws, regulations, and standards for data sharing, privacy protection, and network security, clarify digital governance standards and norms, optimize digital governance mechanisms, and provide strong legal institutional guarantees for digital governance. Strengthen the research and application of network security technology, establish and improve network security monitoring, early warning, and emergency response mechanisms, and enhance digital security supervision.

Thirdly, leverage the driving effect of data elements to unleash the development momentum of new quality productivity. One is to accelerate the cultivation of the data element market. Efforts will be made to improve the construction level of data exchanges in various regions and cultivate a group of specialized data service providers. Promote the construction of a unified, open, competitive and orderly data trading market, comprehensively explore and release the value of data assets. The second is to deepen the application of multi scenario data models. Explore the application of data in different industries and business scenarios such as intelligent manufacturing, smart cities, and healthcare, broaden innovative application scenarios, and promote data-driven business model innovation. The third is to strengthen the cultivation of high-end talents in data.

Fourth, enhance the efficiency of digital government governance and unleash the vitality of new quality productivity development. One is to strengthen the supply of public data resources. Accelerate the construction of data resource system and form an open and shared data resource system. Strengthen the supply of public data open platforms, public digital technologies, and public digital services, and enhance the digital knowledge level of enterprises. The second is to optimize the platform innovation and development system. Increase investment in the construction of digital platforms, actively guide platform enterprises to participate in the research and implementation of major national scientific and technological innovation projects, and form a dynamic innovation network between government departments, innovation institutions, and platform enterprises. The third is to improve the market supervision system and mechanism. Utilize digital means to strengthen market supervision and improve the accuracy and effectiveness of market supervision. Integrate data resources from various departments, strengthen the construction of digital supervision platforms, break down "digital information silos", achieve cross departmental, cross level, and cross domain data interconnection, and improve regulatory efficiency. (Huang Qinghua, Luo Qiyu)

(Author affiliation: School of Economics and Management, Southwest University; Chongqing Design Driven Enterprise Research Center, Southwest University)

Information source: Economic Reference Report