The innovative development of the digital economy will promote the green transformation of the industrial structure

  The government work report of this year’s "two sessions" proposed that "vigorously promote the construction of a modern industrial system and accelerate the development of new quality productive forces" as the first task in 2024. New quality productive forces are advanced productive forces generated by revolutionary breakthroughs in technology, innovative allocation of production factors, and deep industrial transformation and upgrading. Further promoteInnovative development and the promotion of high-end, intelligent and green transformation of traditional industries are important measures to accelerate the development of new productive forces.

  The previous report of the 20th National Congress of the Communist Party of China pointed out that it is necessary to "promote deep integration with the real economy and build a digital industrial cluster with international competitiveness." The government work report also emphasized many times that it is necessary to vigorously develop, accelerate the digital transformation of traditional industries and small and medium-sized enterprises, and strive to improve the level of greening. Therefore, the digital economy has become an important driving force for the green transformation of the industrial structure and deeply empowers the development of new quality productive forces.

  The digital economy refers to theAs the core resource, digital technology is the main driver, and the form of economic activities based on digitalization, networking and intelligence. By improvingThe ability to analyze and predict, optimize resource allocation and management, and promote the development of green technologies to guide the whole society to carry out green changes is another important economic growth point in the new era. However, the current digital economy is still in the early stage of development, facing energy consumption, cost, promotion and other issues. It is necessary for the government to take effective measures to guide the healthy and orderly development of related industries and promote deep empowerment.

  data elementsEmpowerCorporate green transformation

  As the core of the digital economy, data elements can provide enterprises with refined data analytics and predictive capabilities, promote sustainable innovation and technological development, optimize resource allocation and supply chain management, and promote changes in market demand. These factors will deeply empower the development of new quality productivity and promote the green transformation of the industrial structure.

  First, provide analytical and predictive capabilities. Deep empowerment of data elements means the collection, collation and analysis of large-scale data, from which valuable information and insights can be extracted. This granular data analytics and predictive capabilities can help enterprises better understand resource utilization, environmental impact and market demand for precise planning and decision-making. Through accurate data analytics, enterprises can identify opportunities for environmentally friendly products and services, optimize resource allocation, reduce energy consumption and waste generation, and achieve a green transformation of the industrial structure.

  Second, optimize resource allocation and supply chain management. Data element depth empower can help enterprises better optimize resource allocation and supply chain management to achieve green transformation. Through comprehensive analysis of data, enterprises can better understand the flow and utilization of resources, identify problems of resource waste and environmental risks, and take corresponding measures to improve. Data element depth empower can also achieve transparency and traceability of supply chains, ensure the sustainability of supply chains for environmentally friendly products, and promote the transformation of the entire industrial structure to green supply chains.

  Third, promote sustainable innovation and technological development. Data elements deeply empower can provide enterprises with more innovation opportunities and the potential of technological development. Through the mining and analysis of right, enterprises can discover environmental protection technologies and sustainable solutions, improve product design and production processes, and promote efficient use of resources and reduction of environmental pollution. Data elements deeply empower can also promote cross-industry and cross-field cooperation and innovation, accelerate the development and application of green technologies, and promote the transformation of industrial structure towards green, low-carbon and sustainable direction.

  Fourth, promote the green transformation of market demand. Data elements are deeply empowered, which can help enterprises better understand changes in market demand and consumer preferences, adjust the positioning of products and services in a timely manner, and meet the needs of green consumption. With the strengthening of environmental awareness and the government’s increasing requirements for environmental protection, consumer demand for green products and services continues to grow. Data elements are deeply empowered, which can help enterprises capture these market opportunities, develop products and services that meet green requirements, and promote the development of industrial structure in the direction of green transformation.

  Digital factors promote industrygreentransformationreturnexistWhat bottlenecks?

  The current digital economy-related industries are in the early stages of development, and there are some shortcomings in promoting the green transformation of the industrial structure.

  First, the energy consumption of industries related to the digital economy is relatively high. The rapid development of the digital economy has brought about the demand for large-scale data storage, processing and transmission, which requires a huge energy supply to support.Is supportThe critical infrastructure for big data processing and online services usually requires a large number of servers and network equipment, while big data processing requires large-scale computing resources and storage devices. These devices generate a lot of heat during operation and require cooling systems to maintain a stable working temperature. Cooling systems usually consume a lot of energy, resulting in increased energy consumption. Moreover, the development of the digital economy requires a large amount of data transmission and communication. The Internet, mobile communication and data transmission networks all need to consume a lot of electricity to maintain their operation and coverage. With the growth of the digital economy, the energy consumption of network transmission and communication has also increased accordingly.

  Second, the cost of digital transformation in traditional industries is high. First, the digital transformation of enterprises requires updating the existing technology infrastructure, introducing new software and hardware systems, and training employees to adapt to new workflows, resulting in higher technology update and training costs. Second, digital transformation may require closer collaboration and information sharing with suppliers, partners, and customers, which in turn incurs supply chain adjustment and integration costs. Finally, the digital transformation of enterprises also needs to ensure thatEnsuring the security and privacy of data may require additional investments, such as establishing secure data storage facilities, adopting encryption technology and implementing strict access control measures

  Third, the scope of digital economy empowerment is still insufficient. Traditional industries usually have complex business processes and traditional information systems. Introducing digital technology into these systems may require large-scale technical and system integration work. This may involve issues such as compatibility with existing systems, data migration, security, etc., resulting in slow digital transformation. In addition, the construction and penetration of digital infrastructure in some less developed regions is relatively low, and the popularization of digital skills and knowledge is relatively low. Therefore, these regions may face certain difficulties in carrying out green transformation and digital development.

  Policy recommendations to deeply empower data elements

  The first is to optimize the layout, improve equipment and systems and other measures to improve energy efficiency and promote the green development of the digital economy industry. Optimizing the layout can not only reduce cooling demand and reduce energy consumption, but also promote the effective use of renewable energy. For example, building data centers in the western region rich in air-conditioning resources, using natural airflow for alternative cooling. Moreover, the western region also has better wind and light resources. Through the matching update with the power sector, it can greatly realize the dependence on traditional energy and reduce carbon emissions. In addition, governments and regulators can strengthen environmental supervision of the digital economy industry and develop corresponding policies and standards to promote the use of more energy-efficient servers, optimized equipment configuration, and improved cooling system efficiency in data centers, providers, and operators, among others, in order to promote the development of a green and sustainable digital economy.

  Second, strengthen data infrastructure building and technology popularization, strengthen data privacy and security protection, and improve the enthusiasm of enterprises for digital transformation. The government can increase investment in data infrastructure in underdeveloped areas, including high-speed Internet, data centers, cloud computing platforms, etc. At the same time, strengthen data science,Talent training and skill upgrading in areas such as big data analytics can provide basic support for local enterprises to deeply empower data elements. In addition, clear and stable policies can provide a favorable environment for deeply empowering data elements, and the construction of laws and regulations on data privacy and security should be strengthened. Strengthening technologies and measures to ensure that user data is properly protected, and establishing regulatory mechanisms to supervise the compliance of data processing and use can enhance the good expectations of enterprises and the public for data elements empowering, and promote the further development of the digital economy, thereby providing stronger momentum for the development of new quality productivity.

  Third, promote data sharing and openness, promote data exchange and cooperation between different departments, institutions and enterprises, and remove "stumbling blocks" to development. The government can encourage enterprises and research institutions to conduct innovative research and development in terms of deeply empowering data elements by providing incentives such as funding and tax incentives. The government can also establish innovation support platforms and incubators to provide technical support and market orientation to help innovative projects land and grow. At the same time, by establishing data sharing platforms and formulating data open standards and policies, it can facilitate data sharing and openness among various departments and organizations, thereby encouraging the wide use and innovation of data elements, and opening up data channels for the green transformation of industrial structure and the development of new quality productivity.