New quality productivity is where innovation plays a leading role. The core symbol is a substantial increase in total factor productivity. The path to achieve it is revolutionary breakthroughs in technology, innovative allocation of production factors, and in-depth industrial transformation and upgrading. We must focus on the real economy and promote the deep integration of technological innovation and industrial innovation in the process of building a modern industrial system and achieving an overall leap in the industrial system; in the process of productivity transformation and production relations innovation, we must accelerate the process of intelligence, greenness, and integration of the real economy to better support high-quality development.
Consolidate the global competitive advantage of the real economy through technological innovation
The key to building a solid core competitiveness of the real economy lies in continuously improving technological innovation capabilities. This is not only an important starting point for the real economy to make up for its shortcomings and build its strengths, but also corrects the misunderstanding of "developing new productive forces and neglecting traditional industries". It directly reflects the core essence that the nurturing and development of new productive forces must be rooted in the real economy.
In view of the need to continue to improve the comprehensive strength of scientific and technological innovation in key manufacturing industries, we must persist in promoting major technological breakthroughs, use a new national system to organize high-quality development actions and industrial innovation projects in key industrial chains, improve basic research capabilities, and ensure that innovation elements such as technology, funds, and talents focus on the transformation and upgrading of key industries such as steel, petrochemicals, and ships, as well as full-chain innovation such as electronic information and equipment, to break through key components and materials, and improve the supply level of high-end and in-demand products.
Strengthen the upgrading and transformation of traditional production factors and labor materials such as labor, land, equipment, and capital by new production factors such as data, and promote the optimization, combination, and update of labor objects with data-driven and artificial intelligence model services.
Strengthen standard guidance and brand building, prevent "involution" competition, get rid of the traditional path of relying on extensive input of factors and low product price advantages to compete in the international market, and create a modern industrial system with high quality, high cost performance and new advantages.
Use technological innovation to safeguard the steady and long-term development of intelligent, green, and integrated manufacturing, cultivate independent, controllable, and resilient emerging industries and future industries, improve the quality, efficiency, and competitiveness of the service industry, and promote the steady improvement of the real economy's global value chain status and international division of labor.
Promote the deep integration of the real economy and the digital economy
In the early stage, the digital transformation of the manufacturing industry was steadily advancing. Tens of thousands of smart factories in the industrial field were built and put into operation. The role of online consumption in expanding domestic demand continued to increase. The application of digital technology to thousands of industries has obvious effects. At present and in the future, with the iterative optimization and continuous innovation of artificial intelligence technology, it is necessary to combine digital intelligence technology to promote new situations and new situations in the optimal combination of workers, labor materials, and labor objects, superimpose the multiplication effect of digital intelligence technology empowerment in the in-depth advancement of industrial digitalization, and promote the "intelligent transformation to digital transformation" in the manufacturing industry.
Through the accumulation of data, we will continue to optimize artificial intelligence models, and use digital intelligence technology to embed the entire manufacturing chain from R&D, pilot testing, manufacturing, sales, and after-sales, cultivate and expand data collection, annotation, and management enterprises for real economy subdivisions and value chain links, improve the efficiency and cost-effectiveness of artificial intelligence models in vertical fields, and widely integrate into the development process of industrial digital intelligence and smart agriculture, driving the double improvement of manufacturing, service industries, and agricultural scale and profits.
Based on the accumulation of digital industrialization and on the basis that the core industries of the digital economy have become the "ballast" and "booster" of the real economy, in response to urgent needs such as computing facilities, cloud services, data circulation infrastructure and the supply of high-quality data resources that are urgently needed for the development of the real economy, we will accelerate the construction of a national integrated computing network, optimize the layout, construction and operation of data infrastructure, and intensify efforts to promote the development and utilization of various data resources.
Promote government data sharing, public data openness, and authorized operations to be in-depth and practical, continue to improve and optimize data property ownership identification, market transactions, rights distribution, and security systems. With solid technical support, facility guarantees, and a favorable institutional ecology, we will optimize the inclusive "cloud and use data to empower" services that are truly needed in the digital intelligence process of the real economy, and ensure that the digital economy deeply empowers the real economy.
Promote innovation in development methods and build a modern industrial system
The key features of a modern industrial system are integrity, advancement, and safety. The basic requirement is to ensure a reasonable proportion of manufacturing. We must adhere to the direction of intelligence, greenness, and integration. The key is to innovate development methods and innovative systems and mechanisms. This not only consistently implements the high technology, high efficiency, and high quality that must be adhered to in the process of cultivating new quality productivity, but also is a vivid practice in developing new quality productivity and promoting the deep integration of technological innovation and industrial innovation in an all-round way.
To this end, we must first focus on the development of green manufacturing, green services, and green energy industries, and on the other hand focus on the green transformation of key industries, and promote the promotion and application of cutting-edge green technologies through both scenario application and consumption incentives.
The second is to optimize the allocation of policy tools such as fiscal and taxation, finance, price, and technology incentives in view of some of the public goods attributes of green technology products and services and the characteristics of emerging industries. We must provide both hard policy constraints and soft market support, and implement policies based on local conditions and industries.
Third, in view of the characteristics of advanced manufacturing such as high technology and intensive new growth points, we should solidly promote the reform of systems and mechanisms that are conducive to the close integration of science and technology and economy, encourage scientific and technological achievements with market value to be prioritized and obtain tax support and recognition of relevant qualifications of job inventors; guide the entire manufacturing chain from R&D, pilot testing to production, pre-sales and after-sales, and operation and maintenance to strengthen professional cooperation with data companies and artificial intelligence companies.
The fourth is to continue to promote the integration of innovative resources into the real economy, improve the vocational skills of all walks of life in applying new technologies and new services such as data and artificial intelligence, optimize the adjustment mechanism of higher education disciplines and majors that adapt to the direction of new productivity and new scientific and technological revolution, promote the modernization of vocational and technical education, and continue to improve the system, mechanism and institutional ecology of attracting and retaining talents in the manufacturing and service industries.
Author: Jiang Jiang, Vice President and Researcher, National Data Development Institute
