Notice from the General Office of the Ministry of Industry and Information Technology on Issuing the Implementation Plan for the Forecasting of Industrial Talent Demand (2020–2022) (MIIT Office Personnel Letter [2020] No. 86)

Relevant units under the ministry, and relevant departments and bureaus of the ministry’s headquarters:
Hereby, we are releasing the Implementation Plan for the Forecasting of Industrial Talent Demand ( 2020 — 2022 year) has been issued to you. Please combine it with the actual situation and earnestly implement it.
   

General Office of the Ministry of Industry and Information Technology
2020 Year 4 Moon 21 day

Implementation Plan for the Forecasting of Industrial Talent Demand (2020–2022) Year)

Industry talent demand forecasting is an activity aimed at analyzing and predicting the quantity, quality, and structural requirements of talent needed for high-quality industrial development in response to the trends of a new round of scientific and technological revolution and industrial transformation. It serves as an important basis for scientifically conducting talent cultivation, recruitment, selection, and evaluation efforts, and plays a fundamental, leading, and holistic role in building a robust industrial talent pool. Since the 18th National Congress of the Communist Party of China, reforms to the systems and mechanisms for industrial and information technology talent development have continued to deepen. Some industries, sectors, and regions have actively explored talent demand forecasting and achieved certain results. However, compared with the requirements for building a manufacturing powerhouse and a cyber power, there remain challenges such as an insufficiently clear concept of talent demand forecasting, an inadequate data foundation, an unscientific analytical framework, an incomplete working system, and insufficient utilization of forecasting outcomes. To implement the "Opinions of the CPC Central Committee on Deepening Reform of Talent Development Systems and Mechanisms" and the spirit of the Central Economic Work Conference, to proactively leverage the role of industry authorities, to strengthen the construction of industrial talent teams, and to accelerate the establishment of an industrial system characterized by coordinated development among the real economy, scientific and technological innovation, modern finance, and human resources, this plan has been formulated.

One, General Requirements

(1) Guiding Ideology

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will thoroughly implement the spirit of the 19th National Congress of the Communist Party of China and the Second, Third, and Fourth Plenary Sessions of the 19th Central Committee. We will uphold the new development philosophy, adhere to a problem-oriented, goal-oriented, and results-oriented approach, and remain committed to building a manufacturing powerhouse. 、 The overall strategy for building a cyber power. ， Focusing on the upgrading of industrial foundations and the modernization of industrial chains, and leveraging big data on industrial talent, our primary objectives are to align occupational positions (and groups) with relevant majors (and groups), to match occupational qualification standards with professional training programs, and to bridge the demand side of industrial talent with the supply side of talent development. We will regularly release forecasts of industrial talent needs and catalogs of urgently needed talent, strengthen the application of these findings, emphasize forward-looking guidance, and strive—through three years of concerted effort—to establish a governance system for industrial talent development that is demand-driven, data-informed, integrates industry and talent, promotes open sharing, and fosters collaborative efficiency, thereby boosting high-quality development in the manufacturing sector.

(2) Main objective

By 2020, coverage “Two Great Powers” Key areas The preliminary establishment of an industrial talent big data platform provides strong support for the integrated circuit industry. 、 New breakthroughs have been made in forecasting talent needs in key areas such as the aerospace industry, intelligent manufacturing, the industrial internet, intelligent connected vehicles, artificial intelligence, critical software, and blockchain, and the working system for the integrated development of industries and talent has become even more comprehensive.

By 2022, a big data platform for industrial talent—characterized by advanced technology, dynamic monitoring, scientific forecasting, and open sharing—will be basically completed, effectively supporting the forecasting of talent needs in key areas such as next-generation information and communication technologies, high-end equipment manufacturing, biopharmaceuticals, and new materials—the “two powerful nations” strategic priorities. We will promote the development of a set of industry-specific standards for evaluating the competency levels of urgently needed industrial talents, launch a series of training and competency assessment programs for such talents, and facilitate the alignment between the supply side of talent cultivation and the demand side of industrial talent needs, enabling dynamic adjustments to relevant disciplines and specialties. Furthermore, the results of demand forecasting will be fully integrated into all aspects of industrial talent development, including recruitment, introduction, selection, and evaluation.

II. Main task

(1) Build an industrial talent big data platform

Based on the high-quality development needs of the key areas under the “Two Powerful Nations” initiative, we will develop categorized directories for key industries (and sectors) as well as enterprise directories. We will integrate data resources including national statistical data, industry-specific statistical data, data from major recruitment platforms, and education and employment data. By seamlessly connecting key links in talent development—such as industrial classification, occupational classification, enterprise job roles (groups), job qualification standards, academic disciplines (groups), and professional training programs—we will leverage cutting-edge technologies like big data acquisition, analysis, and mining to build and operate an industrial talent big data platform. This platform will serve the demand forecasting for talent in key industries, sectors, and localities. By dynamically releasing information on job demands within various industries to the public, we will help a broad range of technical and skilled professionals establish realistic expectations and scientifically plan their career paths, thereby promoting high-quality employment.

(2) Prepare a forecast report on industry talent demand.

In line with the industrial development plan and using the “Guidelines for Preparing Industry Talent Demand Forecast Reports” (see attachment) as the overall framework, organize the preparation of industry talent demand forecast reports. Analyze the current status and future development trends of the industry, including the structure of the industrial chain and the scale of output value. Clearly identify the current state of industry talent development, such as the number of practitioners, their educational backgrounds, occupational job sequences, and the competency requirements for various job roles. Additionally, analyze the curriculum and specialty offerings of relevant institutions, the size of graduate cohorts, and the proportion of graduates entering this industry—thus assessing the supply of talent cultivation. Forecast future talent demand and talent gaps, and based on specific occupational positions (or job families), develop indicators to measure talent shortages. Scientifically compile a catalog of urgently needed talent. With a focus on the integrated development of industry and talent, put forward policy recommendations regarding adjustments to institutional curricula and specialty arrangements, training programs for urgently needed talent, and standards for evaluating their proficiency levels.

(3) Strengthen the application of results.

Support and encourage the timely release of outcomes such as industry talent demand forecasts and lists of urgently needed talent through organizing industry summits, talent development forums, and other similar initiatives, and strengthen the practical application of these findings. Enhance coordination with departments including education, science and technology, and human resources and social security, broadly build consensus, and promote the introduction of new occupations within industries. Guide the formulation of industry-specific talent competency evaluation standards and facilitate their elevation to national standards. Promote the establishment and continuous improvement of a dynamic mechanism for adjusting academic disciplines and specialties in response to industry needs. Conduct research and develop training programs and competency assessment initiatives tailored to urgently needed talent. Drive adjustments and optimization of key areas for talent recruitment as well as the professional layout of relevant vocational qualification (level) examinations. Organize various technical skills competitions for urgently needed talent, and further tilt talent policies and resources toward industries and fields characterized by higher levels of talent shortages.

III. Guarantee Measures

(1) Strengthen organizational leadership

Under the unified leadership of the Party Group of the Ministry, a coordinated mechanism will be established, led by the Department of Personnel and Education, with each business division and bureau taking on specific responsibilities in a collaborative manner, to guide direction, formulate plans, and ensure implementation. An Office for Forecasting Industrial Talent Demand (located at the Ministry’s Talent Exchange Center) will be set up to carry out organizational coordination, platform development and operation, resource support, and supervision and evaluation. A Specialist Advisory Panel for Forecasting Talent Demand in Industry and Information Technology will also be established to conduct major surveys and studies, put forward significant policy recommendations, and provide expert advisory services, thereby further enhancing the scientific basis of decision-making.

(2) Innovation Work Promotion System

Focusing on key industries and sectors, we will promote leading enterprises to take the lead in establishing collaborative working mechanisms together with ordinary universities, vocational colleges, industry associations, and other relevant entities. We encourage the adoption of approaches such as "posting challenges and appointing leaders" to select organizations that will undertake specific tasks. We will also strengthen coordination and collaboration with expert organizations, including the Teaching Guidance Committee for Higher Education under the Ministry of Education and the Teaching Guidance Committees for Vocational Education in related industries.

(3) Increase financial support.

Integrate and make efficient use of existing funding channels to support the construction of an industrial talent big data platform, and to assist relevant industries and sectors in conducting industrial talent demand forecasting, talent training evaluation, and other related activities. This will promote the full application of research findings and foster deep integration and development between industry and talent.