打开全要素生产率的“黑箱”，让现有投入“用得更好”

Group 1 - The core argument emphasizes that the key to future economic growth in China lies in improving Total Factor Productivity (TFP) rather than merely increasing inputs of capital and labor [1] - China's TFP level is only 0.37 of that of the United States, indicating significant growth potential [1] - The traditional growth model based on capital and labor accumulation is facing challenges due to diminishing returns and the exhaustion of factor input growth [1] Group 2 - TFP has long been viewed as a "black box," with its definition and application lacking clarity, often treated as a residual that does not explain the sources of efficiency [2] - Existing research has primarily focused on measuring TFP changes without adequately analyzing the underlying mechanisms driving these changes [2] Group 3 - To understand TFP, it should be decomposed into measurable components such as innovation, digitalization, institutional and organizational management, and externalities [3] - Innovation and technological progress are traditional sources of TFP growth, with an emphasis on the diffusion and absorption of innovation rather than just research outcomes [3] - Digital assets are emerging as new production factors that can enhance TFP by reshaping production functions and improving overall efficiency [3] Group 4 - A conducive institutional and organizational management system is essential for fostering innovation and driving TFP growth [4] - Institutional arrangements determine the efficiency of resource allocation across different sectors and regions, highlighting the importance of management and governance improvements [4] Group 5 - External effects and social responsibility should redefine the boundaries of productivity, as improvements in one sector can enhance overall efficiency across supply chains [5] - Social responsibility costs, often seen as efficiency losses, should be recognized as contributions to systemic stability and sustainability [5] Group 6 - The goal of "opening the black box" is to create a more scientific approach to development and governance, with TFP enhancement serving as a starting point for policy design [6] - A unified TFP data and analysis system is necessary to break down data silos and provide a quantitative basis for policy evaluation [6] Group 7 - Expanding the assessment criteria for TFP to include social value and externalities is crucial for a comprehensive evaluation of efficiency [6] - Policies should focus on improving resource allocation efficiency rather than merely reducing inputs, with TFP as a guiding principle for reforms [6] Group 8 - TFP should transition from a statistical measure to a management tool, allowing policymakers to design targeted incentives for innovation and digitalization efforts [7] - Understanding TFP as a dynamic system connecting macroeconomic policies with micro-level behaviors is essential for enhancing China's economic competitiveness [7]