We will accelerate the collaborative transformation and development of digital intelligence and green technology in traditional manufacturing industries

Manufacturing is the foundation of the country and the foundation of a strong country. The "Decision of the Central Committee of the Communist Party of China on Further Comprehensively Deepening Reform and Promoting Chinese-style Modernization" reviewed and adopted by the Third Plenary Session of the 20th CPC Central Committee stressed that "promoting high-end, intelligent and green development of the manufacturing industry." The Opinions of the Central Committee of the Communist Party of China and The State Council on Accelerating the Comprehensive Green Transformation of Economic and Social Development, issued in July 2024, proposed to "support enterprises to transform and upgrade traditional industries with digital intelligence technology and green technology." A few days ago, the Central Network Information Office and other ten departments jointly issued the "Digital Green Collaborative Transformation Development Implementation Guide", which provides specific guidance for accelerating the digital green collaborative transformation development of traditional industries. China is a big manufacturing country, the traditional manufacturing industry as the basis of the modern industrial system, its added value accounts for about 80% of the total manufacturing industry, occupies an important position in the economic transformation and development. In the context of the deep integration of the digital economy and the real economy, as an important part of the real economy, the traditional manufacturing industry to achieve the deep integration and coordinated development of digital intelligence and green will become an important engine for high-quality economic development.

The collaborative transformation of digital intelligence and green in traditional manufacturing industry is the inherent requirement of developing new quality productivity

Digital intelligence is an important way to form digital productivity, and the development of digital productivity is to develop new quality productivity. To examine the development of digital technology and digital economy from the perspective of new quality productivity is to form digital productivity and form advanced productivity in line with the development trend of cutting-edge science and technology. Digital intelligence technology represented by big data, cloud computing, Internet of Things, artificial intelligence and its wide application in the field of production are the key content and core driving force for the current development of digital productivity. The digital productivity characterized by the development of digital intelligence has led to major changes in the production mode, making the production process more intelligent, efficient, and accurate, which can quickly respond to changes in market demand, improve resource utilization efficiency, and reduce production costs of enterprises. For example, through digital technology, intelligent manufacturing can realize the interconnection and automatic control of production equipment, greatly improving production efficiency and product quality. The development of digital productivity characterized by digital intelligence has spawned new forms and models, which can promote the improvement of enterprise activity and the upgrading of industrial structure. For example, under the guidance of digital technology, the gig economy, the first launch economy, and webcast are booming, creating a large number of new jobs and economic growth points.

Greening is an important process to form green productivity, and developing green productivity is to develop new quality productivity. This important discussion profoundly clarifies the internal relationship between new quality productivity and green productivity. The development of green productivity, through the introduction of new labor force, labor tools, labor objects and combination optimization, with the help of green to break the development path of traditional productive forces, open up the key link of high-quality development, is an important support for the development of new quality productivity. Green productivity emphasizes the realization of ecological environment protection, efficient use of resources and sustainable development in the production process. Through the adoption of green technology, the development of circular economy, the promotion of clean energy applications and other ways, green productivity can achieve a positive interaction between economic development and environmental protection, improve economic benefits at the same time, but also can bring good social and ecological benefits.

The collaborative transformation of digital intelligence and green in traditional manufacturing industry is an inevitable choice to develop new quality productivity. Digital intelligent development provides technology, tools, platforms and optimization programs for efficient use of resources, green innovation, energy management, etc. Green development provides application scenarios and development paths for digital intelligent technology application, sustainable development of digital intelligent industry, and prosperity of digital intelligent consumer market. The realization of intelligent green collaborative transformation and development of traditional manufacturing industry will greatly promote the qualitative improvement of social supply capacity, thus forming a dynamic balance with a high level of market demand. From the perspective of social demand, with the improvement of environmental awareness, consumers are increasingly concerned about environmentally friendly products, and are more inclined to choose low-carbon, recyclable and green products in the production process, which puts higher requirements on the environmental impact control of the whole life cycle of products. From the perspective of social supply, through big data analysis and deep learning and other technologies, digital intelligent green collaborative transformation enables traditional manufacturing enterprises to accurately analyze consumer green demand, quickly adjust production lines to respond to market changes, and achieve resource consumption reduction and waste emission reduction with intelligent production to meet consumer expectations for environmentally friendly products.

The realization path of the collaborative transformation and development of digital intelligence and green in traditional manufacturing industry

To accelerate the coordinated transformation and development of the traditional manufacturing industry, we need to adhere to the systematic concept, coordinate policy guidance, technical support, industrial collaboration, and talent cultivation, and explore a precise and effective collaborative transformation path.

Improve policy support, and achieve policy coordination for the transformation and development of digital intelligence and green. Government departments should strengthen policy guidance, target, rely on tax incentives, loans and financing support, introduce targeted measures from the aspects of capital investment, technology research and development, platform construction, service support, etc., to help the traditional manufacturing industry smart green collaborative transformation. Adhere to the principles of innovation, collaboration, openness and practicality, and establish relevant institutional arrangements for the collaborative transformation of digital intelligence and green by the local government and relevant departments, promoted by industry associations and universities and institutions, and promoted by enterprises as the main body.

Accelerate the adaptation of technology applications and scenarios, and promote the technical collaboration that drives the transformation and development of digital intelligence and green. At the level of technology integration, we strive to apply digital intelligence technology to enterprise management and production scenarios, and promote the collaborative transformation of digital intelligence and green of traditional manufacturing enterprises. For example, with the help of artificial intelligence technology to realize the intelligent production process and reduce the energy consumption of enterprises; The introduction of clean production technology, recycling technology, etc., to promote the effective integration of enterprise production and green technology; Real-time monitoring and evaluation of key indicators such as energy consumption and emissions in the production process to ensure that the production process meets the green requirements. At the data fusion level, strengthen the construction of green data centers, green base stations and other infrastructure, and break down information silos and barriers by standardizing data formats, promoting information conversion and integration, strengthening information security and privacy protection, and establishing and improving cross-departmental information collaboration and communication mechanisms.

Strengthen the demonstration role of leading enterprises, and lead the industrial collaboration that drives the transformation and development of intelligent and green data. The collaborative development of digital intelligence and green in traditional manufacturing industry involves multi-link changes such as raw material supply, product design, and marketing. Leading enterprises should play a demonstration effect in the aspects of digital intelligence enabling green supply chain and promoting energy transformation, and jointly promote the collaborative transformation of traditional manufacturing industries. Relying on technological advantages, promote technology spillover through technological innovation cooperation and market resource sharing, promote upstream and downstream enterprises to realize technology sharing, and promote the application and promotion of digital intelligent green technology and process by establishing and providing service platforms and integrating industrial resources. Leading enterprises are at the forefront of the industry, and should actively explore the direction of intelligent green collaborative transformation, and lead the overall transformation and upgrading of the traditional manufacturing industry by formulating industry standards, optimizing product structure, and promoting technological innovation.

Deepen personnel training and exchanges. Improve the knowledge and skill level of existing traditional manufacturing employees through internal training. Guided by the collaborative transformation of digital intelligence and green in the traditional manufacturing industry, we will promote the innovation of personnel training models such as school-enterprise cooperation and the combination of industry, university and research, improve the training system of composite intelligent technology and management personnel and the corresponding incentive mechanism, and consolidate the talent base for the integration of digital intelligence and green in the manufacturing industry. Actively introduce high-quality talents with green technology and intelligent technology background, and enhance the talent competitiveness and innovation ability of the collaborative transformation of intelligent green technology. (Author: Gong Xianglong, Lecturer, Harbin Institute of Finance)