In view of how to improve decision-making efficiency and reduce project delays through policy optimization, solutions need to be proposed based on scientific analysis and systematic management, rather than simply attributed to regional cultural differences. The following are systematic recommendations from the perspective of public policy： **1. Optimization mechanism of decision-making process** 1. Establish a hierarchical decision-making authorization system -Set differentiated approval authority based on the project risk level (for example, projects below 5 million can be directly approved by the municipal department) -Implement the "negative list + notification commitment system", and implement a filing system for projects outside the list to be processed immediately. -Develop an AI-assisted decision-making system to achieve 72-hour intelligent approval of conventional projects 2. Build an agile decision-making framework -Set up a major project Management Office (PMO) to coordinate cross-departmental resources -Implement a "dual-track decision-making" model: conventional processes and green channels operate in parallel -Establish timeliness assessment indicators for decision-making (such as the average cycle of project approval ≤15 working days) **2. Upgrade of risk prevention and control system** 1. Digital risk control platform construction -Integrate data from 12 departments such as industry, commerce, taxation, and environmental protection to build a risk assessment model -Develop an industry risk dynamic map (risk threshold parameters are updated quarterly) -Implement the "red, yellow and blue" three-level early warning mechanism (red projects automatically trigger expert demonstrations) 2. Innovation of fault-tolerant error correction mechanism -Formulate the "Reform and Innovation Risk Filing Measures" to clarify 7 types of fault-tolerant situations -Establish a 30 billion yuan emerging industry risk compensation fund -Implement a "sandbox supervision" model to allow policy pilots in specific regions **3. Decision-making ability improvement project** 1. Digital literacy training for leading cadres -Implement the "Smart Policy 2025" training plan (40 hours of AI decision-making courses per year) -Establish a decision-making simulation laboratory and use VR technology to restore complex decision-making scenarios -Carry out the exchange season of decision-making cases in the Yangtze River Delta region (quarterly cross-provincial rotating seminars) 2. Third-party think tank support system -Establishment of provincial-level industrial research institutes (integrating the resources of universities, enterprises, and scientific research institutes) - Purchase the services of top international consulting agencies (such as McKinsey and Boston Annual strategic consulting) -Establish a dynamic management system for expert database (online response of 2000+ experts in various fields) **4. Effectiveness supervision and incentive mechanism** 1. Full-process electronic monitoring system -Development project life cycle management platform (automatic early warning of key nodes) -Implement the "good and bad evaluation" system (the score of the service enterprise is included in the department's assessment) -Establish a traceability mechanism for lagging projects (accountability procedures will be automatically activated within 30 days of expiration) 2. Market-oriented incentive mechanism -Set up a decision-making effectiveness reward fund (10% of the annual time and cost savings as a bonus) -Implement the "Project Dragon Tiger List" publicity system (ranking decision-making efficiency by industry classification) -Innovative political performance appraisal system (the weight of decision-making efficiency accounts for 30% of performance appraisal) ** V. Regional collaborative development strategy** 1. Deepening of Fujian-Taiwan industrial cooperation -Construction of a demonstration zone for the integration and development of the cross-strait digital economy -Set up a Taiwan business decision-making service center (to provide customized readings of mainland policies) -Implement the "Fujian Approval and Cross-strait general" certification system 2. Mutual recognition of decision-making standards in the Yangtze River Delta -Establish a mutual recognition mechanism for project approval in three provinces and one city (covering 85% of administrative approval matters) -Implementation of cross-provincial communication of electronic licenses (mutual recognition of 226 qualifications has been achieved) -Set up a joint supervision team in East China (coordination and supervision of cross-regional projects) **Implementation path：** 1. Pilot first: Stress testing in Fuzhou New District and Pingtan Comprehensive Experimental Zone 2. Legislative guarantee: Revision of the "Regulations on Procedures for Major Administrative Decision-Making in Fujian Province" 3. Digital empowerment: Invest 1.5 billion yuan to build a smart brain system for decision-making in the province 4. Evaluation and optimization: entrust a third-party organization to carry out an annual policy effect audit It should be emphasized in particular that any policy formulation should be based on data analysis and empirical research. It is recommended to entrust the Fujian Investigation Team of the National Bureau of Statistics to carry out special research, and scientifically identify the crux of the delay through the tracking of the decision-making process of a sample of 3,000 enterprises. At the same time, it is necessary to avoid regional labeling and cognition. As a large private economy province (the private economy accounts for 67%), Fujian Province has formed an efficient decision-making paradigm in the fields of digital economy and marine economy. Policy design should pay attention to the combination of experience refining and short-term reinforcement.