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Northeast China Urban Network Structure And Reorganization

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Spatial structure and organization of the medical device industry urban network in China: evidence from specialized, refined, distinctive, and innovative firms Meanwhile, it is greatly significant to express the relationships of regional spaces. The paper characterizes and explores the evolution of urban spatial structure with complex network research methods to enrich the relevant works on city networks in the Yangtze River Economic Belt from 2011 to 2017.

Distribution of urban integration pairs in Northeast China. | Download ...

The findings are as follows: (1) The development of a monocentric spatial structure in Northeast China significantly reduces the Urban-Rural income gap, a conclusion verified through robustness testing. (2) A mediation effect test confirms that this spatial structure reduces the gap by increasing urban labor productivity. However, urban networks have gradually become the main form of regional economic systems. Urban network externalities are also becoming increasingly critical with the dramatic development of infrastructure and information technology.

Research on the Evaluation of Resilience and Influencing Factors of the Urban Network Structure in the Three Provinces of Northeast China Based on Multiple Flows He Liu 1,2 , Xueming Li 1,2 This paper analyzed urban network and regions in China using a complex network model. Data of daily migration among 348 prefectural-level Considering the importance of China’s digital economy, industrial Internet, and high-quality development, this study analyzed China’s urban network from the perspective of the communications technology service industry. Three sub-networks (R & D, sales,

Urban spatial structure and firm growth: Evidence from China

In the face of the urgent need for the coordinated development of regional rural functions and the orderly and efficient integration of urban and rural areas, the problem of how to accurately identify the spatial correlation relationships and characteristics of rural elements among regions in Northeast China has become a key issue that urgently needs to be resolved. The

Furthermore, a model of an urban-rural multi-level polycentric network was proposed to guide the optimization of SOURI in urban agglomerations with an emphasis on the three-level centres of city-town-village and networking linkages. Following the model, optimization policies for the Chang-Zhu-Tan Urban Agglomeration are discussed. Based on the theory of space of flows, this study ad-opts China Smart Logistics Network relational data to build China’s e-commerce express logistics network and explore its spatial struc-ture characteristics through social network analysis (SNA), the

Urban networks have been widely examined using infrastructure connection and firm connection data. In particular, urban networks constructed based on firm connection data have been used to depict the circulation of capital, information, personnel, and products between cities. Existing studies on firm connection networks rely on either inter- or intra-firm relationships. However, Herein we analyzed the resilience of the urban network structure and explored the influencing factors of resilience in the three provinces of Northeast China.

The results of the study can provide a scientific basis and theoretical reference for the future adjustment of urban spatial structure, planning and construction as well as resource allocation in the main urban areas of the cities in the Three Northeast Provinces. Therefore, how to accurately identify urban agglomerations and study their spatial structure from the perspective of inter-city network is a fundamental problem that remains to be solved. Although the existing literature solves the scope issue to a certain extent, there are still some shortcomings. It is of great significance to analyze the structural characteristics and differences of urban network from different perspectives for deeply understanding the structural mode of China’s urban network. In this study, urban network in China is constructed and compared based on the relationship data of Huawei’s supplier value chain from 2019 to 2022 and the head-branch relationship data of

High-speed Rail Network Spatial Structure and Organization Model in China

In this paper, we use factor analysis to evaluate the urban comprehensive quality of each city in the Lanzhou-Xining (Lan-Xi) urban agglomeration. The time distance was obtained by using GIS spatial analysis, and the structure and pattern of the spatial network were analyzed by using the gravity model and social network analysis method. The results show that: 1) The

Spatio-Temporal Evolution of Urban Innovation Networks: A Case Study of ...

Abstract Considering the importance of China’s digital economy, industrial Internet, and high-quality development, this study analyzed China’s urban network from the perspective of the communications technology service industry. Three sub-networks (R & D, sales, and investment) and a comprehensive network were constructed.

  • High-speed Rail Network Spatial Structure and Organization Model in China
  • The Spatial Organization of Power in the Development of Urban
  • Urban spatial structure and firm growth: Evidence from China
  • What matters for regional economic resilience amid

Introduction: Urban human settlements‘ spatial network structures have emerged as crucial determinants impacting their health and sustainability. Understanding the influencing factors is pivotal

Based on Baidu migration data from March 9 to April 28, 2021, the “hierarchical-network” structure of cities in Northeast China was studied from the perspective of population migration by High-speed rail is an important part of modern transport infrastructure. It has an important impact on the flow of production factors, the expansion of urban space, and the reconstruction of regional spatial structure. Based on the O-D data of high-speed rail network in 2018, the social network analysis is used to discuss the structural characteristics of high-speed rail network and other An important indicator for measuring the resilience and ability of urban networks to recover under external environmental shock, which is

The results of the study can provide a scientific basis and theoretical reference for the future adjustment of urban spatial structure, planning and construction as well as resource allocation in the main urban areas of the cities in the Three Northeast Provinces. The use of multi-perspective and multi-scalar city networks has gradually developed into a range of critical approaches to understand spatial interactions and linkages. In particular, road linkages represent key characteristics of spatial dependence and distance decay, and are of great significance in depicting spatial relationships at the regional scale. Therefore,

The rst part analyzes the urban spatial structure of Liaoning Pro-fi vince, including the urban hierarchy structure, urban dominance axis and urban radiation range; The second part discusses the

What matters for regional economic resilience amid

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

Based on the modified gravity model and social network analysis method, the paper constructed the economic linkage intensity matrix of 34 prefecture-level cities of Northeast China and analyzed At present, the theoretical basis and empirical research of urban network structure from the perspective of “flow space” are not completely clear.

This analysis enabled us to propose relevant suggestions and strategies to optimize urban network structure resilience. Our results indicate that (1) in 2019, the multi-city network structure in the three provinces of Northeast China contains both commonalities and characteristics. An important indicator for measuring the resilience and ability of urban networks to recover under external environmental shock, which is essential for the healthy development of the region, is urban network structure resilience. Herein we analyzed the resilience of the urban network structure and explored the influencing factors of resilience in the three provinces of Northeast

This paper examines how the economies of old industrial cities in Northeast China respond to the on-going COVID-19 pandemic crisis. The notion of resistance in regional economic resilience is used to explore what impact factors shape We measure urban spatial structures in China using land plot location and floor area ratio (FAR) information. Then, we explore how the urban spatial structure affects firm growth. We find that a high-quality urban spatial structure can promote firm growth by reducing firms’ average costs and increasing firms’ total factor China’s urban agglomeration is not only crucial to tackle with the more and more contradiction between population, resources and environment, but also an important spatial actor to increase the global competitiveness and promote the transformation of China’s economic development mode. In the national „14th Five-Year Plan“ in 2021, it is proposed to „promote

Spatial pattern, and evolution of China’s urban agglomerations

Exploring the pattern of population flow will help reveal the law of urban systems and connections between cities. Based on Baidu migration data from March 9 to April 28, 2021, the “ hierarchical-network” structure of cities in Northeast China was studied from the perspective of population migration by using fractal theory, urban scaling law, social network analysis and Self

Introduction Urban human settlements‘ spatial network structures have emerged as crucial determinants impacting their health and sustainability. Understanding the influencing factors is pivotal