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| 中国城市人工智能发展的时空演化特征及其影响因素 | |
| 引用本文： | 邹伟勇,熊云军.中国城市人工智能发展的时空演化特征及其影响因素[J].地理科学,2022,42(7):1207-1217. |
| 作者姓名： | 邹伟勇 熊云军 |
| 作者单位： | 1.上海大学经济学院，上海 200444 2.上海财经大学公共经济与管理学院，上海 200433 |
| 基金项目： | 国家社会科学基金项目(19BJY079);上海市哲学社会科学项目(2019BJB020) |
| 摘 要： | 基于2000—2019年中国285个地级及以上城市面板数据，以关键词检索人工智能相关的专利申请数，运用标准差椭圆、探索性空间数据分析以及空间杜宾分解模型，探析中国城市人工智能的时空演变特征及其影响因素。结果表明：① 人工智能发展在时间上可分为起步期、成长期以及高速发展期；空间上呈明显的层级效应，东部沿海城市优势明显，中西部城市正加快崛起。② 人工智能存在较强的空间正向相关关系，局部地区城市形成集聚发展态势。空间分布沿“东北?西南”方向产生极化现象，沿“西北?东南”方向产生扩散现象。分布重心位于安徽省内，有持续向东南迁移的趋势。③ 市场化水平、人口密度、人力资本、外商投资水平和金融发展水平的提升有利于人工智能发展，存在正向空间溢出效应。政府干预与人工智能发展呈倒U型曲线关系，存在空间溢出效应。产业升级和基础设施建设水平的提升有利于人工智能发展，但空间溢出效应不明显。 |
| 关 键 词： | 中国城市 人工智能 标准差椭圆法 空间杜宾模型 |
| 收稿时间： | 2021-08-06 |
| 修稿时间： | 2021-12-25 |
Spatio-temproral Evolution Characteristics of AI Development in Chinese Cities and Its Influencing Factors |
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| Zou Weiyong,Xiong Yunjun.Spatio-temproral Evolution Characteristics of AI Development in Chinese Cities and Its Influencing Factors[J].Scientia Geographica Sinica,2022,42(7):1207-1217. | |
| Authors: | Zou Weiyong Xiong Yunjun |
| Institution: | 1. School of Economics, Shanghai University, Shanghai 200444, China 2. School of Public Economics and Management, Shanghai University of Finance and Economics, Shanghai 200433, China |
| Abstract: | Based on the panel data of 285 cities in China from 2000 to 2019, this paper searches the number of patent applications related to artificial intelligence with keywords. Using standard deviation ellipse, exploratory spatial data analysis and spatial Dubin decomposition model, this paper analyzes the temporal and spatial evolution characteristics and influencing factors of urban artificial intelligence in China. The results show that: 1) The development of artificial intelligence can be divided into initial stage, growth stage and high-speed development stage. There is an obvious hierarchical effect in space. The advantages of eastern coastal cities are obvious, and the rise of central and western cities are accelerated. 2) Artificial intelligence has a strong spatial positive correlation, and cities in some areas form an agglomeration development trend. The spatial distribution produces polarization along the “northeast-southwest” and diffusion along the “northwest-southeast” direction. The distribution center is located in Anhui Province, with a trend of continuous migration to the southeast. 3) The improvement of marketization level, population density, human capital, foreign investment level and financial development level are conducive to the development of artificial intelligence, and there is a positive spatial spillover effect. The relationship between government intervention and the development of artificial intelligence shows an inverted U-shaped curve, with spatial spillover effect. Industrial upgrading and infrastructure construction are conducive to the development of artificial intelligence, but the spatial spillover effect are not obvious. The research conclusion can provide empirical enlightenment for China’s cities to accelerate the implementation of artificial intelligence strategy. |
| Keywords: | Chinese cities artificial intelligence standard deviation ellipse spatial Dubin model |
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