Spatial Patterns and Drivers of Intelligent Manufacturing from a 'Global-local' Perspective: A Study of China's Industrial Robotics
文献类型：期刊论文
| 作者 | Li, Fengjiao2; Zhang, Hong3; Jiang, Lili1; Liu, Jiaming4 |
| 刊名 | CHINESE GEOGRAPHICAL SCIENCE
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 34期号:6页码:1090-1104 |
| 关键词 | intelligent manufacturing industry (IMI) industrial robot industry (IRI) spatial correlation diamond model (DM) geodetector |
| ISSN号 | 1002-0063 |
| DOI | 10.1007/s11769-024-1466-1 |
| 产权排序 | 4 |
| 英文摘要 | The advancement of the intelligent manufacturing industry (IMI) represents the future direction for the world's manufacturing sector, offering a promising avenue to bolster national competitiveness and enhance industrial manufacturing efficiency. In this study, we took the industrial robot industry (IRI) as a case study to elucidate the spatial distribution and interconnections of IMI from a geographical perspective, and the modified diamond model (DM) was used to analyze the influencing factors. Results show that: 1) the spatial pattern of IRI with various investment attributes in different industrial chain links is generally similar, centered in the southeast. Key investment areas are in the east and south. The spatial distribution of China's IRI covers a multitude of provinces and obtains different scales of investment in different countries (regions). 2) The spatial correlation between foreign investors and China's provincial-level administrative regions (PARs) forms a network, and the network of foreign-invested enterprises is more stable. Different countries (regions) have distinct location preferences in China, with significant spatial differences in correlation degrees. 3) Overall, the interaction of these factors shapes the location decisions and correlation patterns of industrial robot enterprises. This study not only contributes to our theoretical knowledge of the industrial spatial structure and industrial economy but also offers valuable references and suggestions for national IMI planning and relevant industry investors. |
| WOS关键词 | FOREIGN DIRECT-INVESTMENT |
| 资助项目 | Natural Science Foundation Project of Heilongjiang Province[LH2O19D009] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001356233000011 |
| 出版者 | SPRINGER |
| 资助机构 | Natural Science Foundation Project of Heilongjiang Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210693]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Jiang, Lili |
| 作者单位 | 1.Harbin Normal Univ, Coll Geog Sci, Harbin 150025, Peoples R China 2.Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China 3.Fujian Normal Univ, Inst Geog Res, Fuzhou 350007, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Fengjiao,Zhang, Hong,Jiang, Lili,et al. Spatial Patterns and Drivers of Intelligent Manufacturing from a 'Global-local' Perspective: A Study of China's Industrial Robotics[J]. CHINESE GEOGRAPHICAL SCIENCE,2024,34(6):1090-1104. |
| APA | Li, Fengjiao,Zhang, Hong,Jiang, Lili,&Liu, Jiaming.(2024).Spatial Patterns and Drivers of Intelligent Manufacturing from a 'Global-local' Perspective: A Study of China's Industrial Robotics.CHINESE GEOGRAPHICAL SCIENCE,34(6),1090-1104. |
| MLA | Li, Fengjiao,et al."Spatial Patterns and Drivers of Intelligent Manufacturing from a 'Global-local' Perspective: A Study of China's Industrial Robotics".CHINESE GEOGRAPHICAL SCIENCE 34.6(2024):1090-1104. |
入库方式： OAI收割
来源：地理科学与资源研究所
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