打开全要素生产率的“黑箱” 让现有投入“用得更好”

Core Insights - China's TFP (Total Factor Productivity) level is only 0.37 of that of the United States, indicating significant growth potential [1] - The traditional growth model in China has relied heavily on capital and labor input, but this approach is facing challenges due to diminishing returns and the exhaustion of demographic dividends [1] - A structural shift is necessary for China's economy to transition from input-driven growth to efficiency-driven growth, focusing on improving TFP rather than merely increasing inputs [1] Group 1: Understanding TFP - TFP has long been viewed as a "black box," representing the residual factors contributing to output growth beyond capital and labor, but lacks clarity on its underlying mechanisms [2] - Existing research often measures TFP changes without fully understanding the driving forces behind these changes, limiting the practical applicability of findings [2] Group 2: Components of TFP - TFP can be decomposed into measurable components such as innovation, digitalization, institutional and organizational management, and externalities [3] - Innovation and technological advancement are traditional sources of TFP growth, with an emphasis on the diffusion and absorption of innovations rather than just research outcomes [3] - Digital assets are emerging as new production factors, reshaping production functions and enhancing overall efficiency through improved resource allocation and operational optimization [3] Group 3: Institutional and Organizational Factors - A conducive institutional and organizational management system is essential for fostering innovation and driving TFP growth [4] - Institutional arrangements influence resource allocation efficiency across sectors, with improved management practices potentially increasing output without additional input [4] Group 4: External Effects and Social Responsibility - Traditional TFP measurements often overlook the external effects and social responsibilities that contribute to overall efficiency [5] - Enhancing productivity in one sector can lead to efficiency improvements across supply chains and service networks, suggesting a broader definition of TFP that includes social contributions [5] Group 5: Policy Implications - Establishing a unified TFP data and analysis system is crucial for dynamic assessment and policy evaluation [6] - Expanding the scope of TFP assessments to include social value and externalities can lead to a more comprehensive understanding of efficiency [6] - Policy reforms should focus on improving resource allocation efficiency, with TFP enhancement as a common goal across various sectors [6] Group 6: From Metrics to Management Tools - TFP should transition from a statistical measure to a management tool, allowing policymakers to design targeted incentives for innovation and efficiency improvements [7] - Understanding TFP as a dynamic system connecting macroeconomic policies with micro-level behaviors can enhance China's economic competitiveness [7]