Evolution of spatial structure patterns of city networks in the Yangtze River Economic Belt from the perspective of corporate pledge linkage

Jin, Xin; Hu, Guojian; Ding, Hailong; Ye, Shilin; Yu-qi, LU; Lin, Jinhuang

doi:10.1111/grow.12371

Cited by 11 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of connecting factors such as water conservancy, the environment, shipping, and population migration from the middle and upper reaches of rivers in inland areas to coastal areas, cities in river basins have a natural association with each other. Research on city networks can provide direct guidance for the overall river basin development planning [16]. Varol et al together with Jennifer and Angel [17,18] studied the Tigris and Euphrates River basins in Turkey and the Mississippi River basin urban agglomeration in the USA but still used the traditional geospatial distance analysis method.…”

Section: Related Workmentioning

confidence: 99%

Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis Method

et al. 2020

View full text Add to dashboard Cite

Modern cities form city networks through complex social ties. City network research is widely applied to guide regional planning, infrastructure construction, and resource allocation. China put forward the Yellow River Basin Development Strategy in 2019, but no research has been conducted on regional social connections among cities. Based on the gravity model modified by two-way “time distance” between cities, this is the first study to empirically examine the intensity and structure of the entire city network in the Yellow River basin using the social network analysis method and ArcGIS software. The connection rules of the cross-city transfer of city officials in the basin are also investigated to illustrate the official ties between cities. The results suggest that the intensity of two-way connections between cities is generally low in the Yellow River basin and there is a positive correlation between city network development level and regional economic development level. The development gap between cities on the north and south banks is larger than that between the east and west regions, and some cities in the middle and upper reaches of the river are marginalized in the network. The status of the central cities in the Yellow River basin is distinct, but their connecting and leading abilities are not strong, showing an inverted T-shaped spatial distribution. The subgroups of city networks have strong internal connections, while the connection among subgroups is weak and the development shows a partitioned and fragmented pattern, making it difficult to form linkages among the upper, middle, and lower reaches. The “beaded chain” spatial development strategy can be adopted in the river basin planning, giving priority to strengthening the links within subgroups of cities and among adjacent subgroups, building central city chains, and reinforcing the overall basin management.

show abstract

Section: Related Workmentioning

confidence: 99%

Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis Method

et al. 2020

View full text Add to dashboard Cite

show abstract

“…e intensity, direction, network pattern, and hierarchical structure of the connections between cities have been discussed [16][17][18][19]. e measurement methods of urban connection intensity mainly include the gravity model [20,21], urban flow intensity model [22], regional accessibility [23], and social network analysis [24,25]. However, most studies focused only on one dimension of urban connections, lacking comprehensive analysis.…”

Section: Introductionmentioning

confidence: 99%

Exploring Coupling Relationship between Urban Connection and High‐quality Development Using the Case of Lanzhou‐Xining Urban Agglomeration

et al. 2021

View full text Add to dashboard Cite

Based on socioeconomic statistical data, transport data, and network big data, the urban connection index (UCI) was constructed in terms of industry, transportation, information, and innovation, and the high-quality development index (HDI) was established from five aspects: innovation, coordination, green development, openness, and sharing. Taking Lanzhou-Xining urban agglomeration as a case, the urban connection intensity and high-quality development level were measured to analyze the relationship between them. From 2012 to 2018, the UCI and HDI of each city showed different degrees of growth. Note that there exist significant regional differences, with Lanzhou and Xining having the largest difference. The biggest gap among cities lies in the innovative connection intensity. Moreover, urban external connections are closely related to high-quality development, especially innovation and green development. For every 1% increase in industrial and transport connection, the HDI will increase by 0.317% and 0.159%, respectively. This study provides a methodological reference for measuring urban connectivity and provides decision support for high-quality development in China and other countries.

show abstract

“…e "network" trend of China's urban spatial structure has been enhanced over time [48]. In this context, the empirical research of China's urban networks from the perspective of enterprise linkages roughly follows that of the western path and has the following main characteristics: the research mainly adopts a single indicator of headquarter-branch enterprises or APS enterprises [8,49], focuses on the main developed urban agglomerations or regions in China [50,51], and selects specific years or short time series [52,53].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution and Complexity of Urban Networks in China, 1978–2019: An Enterprise Linkages Perspective

Sun

2021

Complexity

View full text Add to dashboard Cite

With the development of globalization and informatization, the relationships among cities have become closer, and a “network” paradigm in urban studies is gaining attention. To examine China’s urban network evolution in a long time series, we used flow-based data to measure enterprise linkages from 1978 to 2019. We investigated the spatiotemporal evolution and complexity characteristics of urban networks in China and arrived at the following conclusions. (1) Intercity enterprise linkages in China have been continuously strengthened. The scale and density of urban networks have increased rapidly. Although the distribution of node cities’ importance and influence has been significantly unbalanced, the degree of which has lessened over time. (2) Network density has significantly improved since 1978, gradually forming a monocentric (Beijing) radial pattern. From the beginning of the twenty-first century, the status of core nodes (e.g., Shanghai) has gradually become prominent. Finally, four vertices stood out in 2019, forming a stable diamond structure. The spatial connection flows of enterprises constituted the core networks with Beijing as the center, skeleton networks with trunk lines formed by subnodes, and regional networks covering a wide range of peripheral areas. (3) China’s urban networks were typically small-scale and scale-free. However, the scale-free characteristics were weakened after 2010. The overall scale gap of intercity enterprise linkages gradually narrowed, and the structure of urban networks became optimized. Meanwhile, the urban networks were heterogeneous. There were more cities with headquarter-branches and active investment behaviors, which had strong influence and control over networks, playing their functions of “broker” and “transfer.”

show abstract

Evolution of spatial structure patterns of city networks in the Yangtze River Economic Belt from the perspective of corporate pledge linkage

Cited by 11 publications

References 9 publications

Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis Method

Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis Method

Exploring Coupling Relationship between Urban Connection and High‐quality Development Using the Case of Lanzhou‐Xining Urban Agglomeration

Spatiotemporal Evolution and Complexity of Urban Networks in China, 1978–2019: An Enterprise Linkages Perspective

Contact Info

Product

Resources

About