智能经济治理:应对技术颠覆性变革的制度弹性建设研究OACHSSCD

While the rise of the intelligent economy has spawned new quality productive forces,it has caused governance problems such as fuzzy data property rights,monopoly of digital platforms,and mismatch of talents and skills.The traditional rigid institutional system is difficult to deal with these problems effectively.This study sys-tematically discusses the theoretical connotation of intelligent economy and institutional flexibility,and analyzes the internal demand of intelligent economy development for flexible governance from the perspectives of the property rights system,market system,and innovation system.Based on the theory of"creative destruction"and the per-spective of adaptive efficiency,this study finds that institutional flexibility,as a dynamic adjustment of rules,multi-subject coordination,and risk prevention and control mechanism in the institutional system,can play an adaptive,inclusive and repairable role in coping with the impact of technological change.Intelligent economic governance needs to seek a dynamic balance between innovation incentives and stable expectations.At the level of the property rights system,it is necessary to break through the traditional property rights framework,establish a dynamic adapta-tion mechanism for the separation of data"use property rights","income rights"and"control rights",provide a more inclusive system for disruptive technological innovation and R&D,and build a collaborative supervision mech-anism for cross-border data flow.At the market system level,it should build an inclusive market access mecha-nism,establish a"risk classification+dynamic supervision"model,strengthen anti-monopoly law enforcement,and promote multiple collaborative governance of government,enterprises,and social organizations.At the level of the innovation system,it is necessary to build a risk-sharing mechanism for R&D investment,establish a"regulato-ry sandbox"to provide fault-tolerant trial and error space,and alleviate the mismatch of talents and skills through the reform of the education system and the lifelong learning system. Given the current institutional gaps such as the governance vacuum in the industrial upgrading and reconstruc-tion of intelligent economic governance,the short board of property rights and circulation mechanism of data factor allocation,and the mismatch of talents and skills caused by new technological changes,the following policy impli-cations are put forward:Policymakers should(1)reconstruct the data governance system and build a classified and hierarchical flexible property rights and dynamic regulatory framework;(2)balance the relationship between inno-vation and competition to optimize the market governance policy with dynamic efficiency as the core;(3)innovate the education and training system of knowledge and skills and build a lifelong learning system covering the whole career;(4)standardize the paradigm of scientific research organization and strengthen basic research investment and open collaborative innovation network;(5)innovate public governance mechanisms and build an adaptive gov-ernance system with multiple synergies among government,market and society.