人工智能发展水平测度研究——基于区域对比分析的视角  

Measurement of Artificial Intelligence Development:A Regional Comparative Analysis

作　　者：黄辉[1] HUANG Hui(Concord University College Fujian Normal University,Fuzhou 350117,China)

机构地区：[1]福建师范大学协和学院,福州350117

出　　处：《高科技与产业化》2024年第8期74-78,共5页High-Technology & Commercialization

基　　金：2022年度福建省中青年教师教育科研项目(科技类)JAT220520元宇宙技术赋能商业银行场景金融建设路径研究;2022年度福建省中青年教师教育科研项目(社科类)一般项目JAS22249碳中和视域下福建省制造业碳解锁效率研究。

摘　　要：人工智能(AI)作为前沿技术,推动全球经济和社会发展变革。准确测度各地区AI发展水平对制定政策和资源优化至关重要。本文构建了包含环境支撑力、技术创造力和产业竞争力的AI发展水平评价指标体系,采用熵权法对2011-2021年中国30个省市的AI发展进行了测度。结果显示,中国AI发展整体持续增长,但存在区域失衡,东部地区领先,中西部地区滞后且差距扩大。本文提出加大中西部AI投入、培育产业集群、鼓励技术渗透和加强区域协作的政策建议,以推动中国AI产业均衡发展。Artificial Intelligence(AI),as a frontier technology,drives global economic and social transformation.Accurate measurement of regional AI development levels is crucial for policy-making and resource optimization.This study constructs an AI development evaluation index system encompassing environmental support,technological creativity,and industrial competitiveness.Using the entropy weight method,we measure AI development in 30 Chinese provinces from 2011 to 2021.The results indicate continuous overall growth in AI development in China but highlight regional imbalances,with the eastern regions leading and the central and western regions lagging and widening the gap.This paper suggests increasing AI investment in the central and western regions,fostering industrial clusters,encouraging technological diffusion,and strengthening regional collaboration to promote balanced AI industry development in China.

关 键 词：人工智能发展水平 区域差异 测度分析 指标体系 

分 类 号：F49[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程]