Tsinghua Ten Professors Interpret Government Work Report from Multiple Dimensions

Securities Times Two Sessions Reporting Team

The 2026 National Two Sessions have successfully concluded. The development goals outlined in the government work report for the first year of the “14th Five-Year Plan” have attracted much attention. From the “4.5%–5% economic growth target” to “creating a new form of intelligent economy,” and to “accelerating high-level technological independence and self-reliance”… a series of macro policy coordinated deployments sketch a roadmap for China’s economy to shift from “speed priority” to “quality and efficiency priority.”

Taking this opportunity, Securities Times invited 10 authoritative experts and scholars from Tsinghua University to conduct in-depth analysis around the core keywords in the government work report. Regarding the economic growth target of “4.5%–5%,” scholars generally believe this marks a profound transformation in macroeconomic governance. Liu Qing, Deputy Secretary of the Party Committee of Tsinghua University School of Economics and Management, interprets this as a paradigm upgrade from “bottom-line thinking” to “interval thinking,” creating space for economic restructuring and industrial upgrading. Dong Feng, Chair Professor of Economics at Tsinghua University School of Economics and Management, emphasizes that the core driver of “striving for better results in practical work” is the “digital intelligence” leading to the explosion of new qualitative productivity.

Several professors unanimously focus on cultivating new forms of intelligent economy and deepening the path of “Artificial Intelligence +.” Zhang Jiayin, Associate Professor of Leadership and Organizational Management at Tsinghua University School of Economics and Management, states that AI moving from “single-point empowerment” to “full industry chain penetration” is essentially a process of organizational restructuring, requiring systemic reforms in data governance and collaborative mechanisms. Li Ning, Director of Leadership and Organizational Management at Tsinghua University, interprets AI governance, believing that in large-scale AI applications, it is essential to ensure that “people remain at the center of value creation,” avoiding short-term efficiency sacrifices that deplete long-term talent reserves. Multiple viewpoints converge on one conclusion: cultivating new forms of intelligent economy is not only a competition of technological algorithms but also a reconstruction of industrial ecology, organizational models, and talent development.

Several professors focus on building the “foundation” of technological innovation, analyzing strategies to accelerate high-level technological independence and self-reliance from multiple dimensions. Chen Jin, Director of the Tsinghua University Center for Technological Innovation, states that reform of the science and technology evaluation system has entered “deep water,” with the difficulty lying in breaking the inertia of “self-circulation” and making “market evaluation” the main “grader” for applied research. Shen Tao, Deputy Director of the Finance Department at Tsinghua University School of Economics and Management, pays attention to the cultivation mechanism of future industries, believing that establishing a “risk-sharing mechanism” is an institutional innovation to address innovation uncertainties and mismatched capital risk preferences, providing fertile ground for patient capital.

(Detailed report see A4 page)