Tan Youwei, Wang Yiting, Duan Lipeng, Gu Zhihui
School of Architecture & Urban Planning, Shenzhen University, Shenzhen, 518060, China.
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, 999077, China.
Heliyon. 2024 Sep 7;10(17):e37623. doi: 10.1016/j.heliyon.2024.e37623. eCollection 2024 Sep 15.
Cross-regional investment behavior plays a pivotal role in enterprise development and regional economic growth. Nonetheless, existing investment network analyses often adopt a broad perspective, most studies tend to invest in network models and focus on a particular industry, and pay less attention to investment models in different industries. Therefore, this paper will combine the dual perspectives of space and network to observe the spatial and temporal evolution characteristics of enterprise investment and its investment model. Additionally, it delves into the unique features of investment networks within various industries at the district and county levels. The results show that enterprise investment agglomeration exhibits a development pattern characterized by points, bands, and surfaces, with a notable distance attenuation trend in investment distances. The overall structure of the industry investment network showcases characteristics of being multi-centered and multi-nodal. The investment models across different industries can be categorized into four distinct types. The research conclusion is of great significance to optimize multi-scale intercity investment, realize industrial gradient transfer and promote the coordinated development of industry.
跨区域投资行为在企业发展和区域经济增长中起着关键作用。尽管如此,现有的投资网络分析往往采用宽泛的视角,大多数研究倾向于投资网络模型并专注于特定行业,而较少关注不同行业的投资模式。因此,本文将结合空间和网络的双重视角,观察企业投资的时空演变特征及其投资模式。此外,还深入探讨了区县层面各行业投资网络的独特特征。结果表明,企业投资集聚呈现出以点、带、面为特征的发展格局,投资距离存在明显的距离衰减趋势。行业投资网络的整体结构呈现出多中心、多节点的特征。不同行业的投资模式可分为四种不同类型。该研究结论对于优化多尺度城际投资、实现产业梯度转移和促进产业协调发展具有重要意义。