The Core‐Periphery Structure in the Yangtze River Delta: An Enterprise Linkage Perspective, 1978–2019

Jie-ying, Yang; Zhang, Jingxiang; Lu, Junhui; Sun, Dongqi

doi:10.1155/2021/9351741

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…The population concentration in the Yangtze River Economic Belt ( Figure 3 ) forms an obvious “core–periphery” structure, decreasing from the center to the periphery [ 42 ]. The uneven spatial pattern in the east is higher than that in the west.…”

Section: Resultsmentioning

confidence: 99%

Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt

Wang

Zou

Duan

et al. 2022

IJERPH

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The degree of population–economy coupling and coordination is an important indicator of a region’s balanced development. This study examines the evolution of the population–economy coupling coordination pattern in the Yangtze River Economic Belt spanning from 2000 to 2019. It draws from the economic growth stage and related theories, and employs methods such as geographic concentration, center of gravity analysis, and the coupling coordination model. Accordingly, the population and economy of the Yangtze River Economic Belt form a core–periphery, with a decreasing center toward the periphery, and the east higher than the west. The spatial coupling situation of the population-economic center of gravity yields an inverted U-shaped curve, where their center of gravity separates and then converges, and the difference in regional development expands and then shrinks. Moreover, the population center of gravity lags behind that of the economy. The population–economy coupling and coordination degree shows a decreasing trend after rising fluctuations. Further, the study finds that regional economic development, government role, and market-led capital agglomeration are significant drivers of the population–economy coupling and coordination, with the industrial structural influence being spatially heterogeneous.

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Section: Resultsmentioning

confidence: 99%

Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt

Wang

Zou

Duan

et al. 2022

IJERPH

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“…Port logistics and urban economy will show different characteristics in different development periods, and if the development rules between these two can be grasped, then the development ideas of port logistics and urban economy at the present stage and in the future can be formed from them [6][7][8][9]. In recent years, port cities have coincidentally put forward the development strategies of "port-city linkage" and "portcity co-prosperity", and advocated the vigorous development of port logistics parks (centers), port industries, supporting infrastructure and logistics channels, etc., in order to achieve the major goal of mutually beneficial and win-win situation and virtuous cycle between port logistics and city economy [10][11][12][13]. Therefore, it is a point of interest and concern for many scholars to carry out research on the linkage development of both port logistics and urban economy, so that the unity of mutual promotion and coordination between port logistics and urban economy can be formed [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

An empirical study on the economic linkage characteristics of Yangtze River port cities based on discrete second-order derivatives

Xie

Song

2023

Applied Mathematics and Nonlinear Sciences

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Rapid economic development cannot be achieved without a well-developed trade in goods of various forms, so it depends on the construction and development of coastal or inland ports. How to coordinate the relationship between ports and cities in the development process is of great significance to the sustainable development of port cities, and is also an important part of the current research on ports. This paper uses gray correlation model to study the correlation between city economic development indexes and port development indexes, and finds that the correlation between GDP and gross industrial output value and port cargo throughput is the largest, and on the basis of gray correlation analysis, the impulse response analysis finds that the growth of total economic volume and gross industrial output value of port cities has an obvious promotion effect on the development of ports in the short term. The research results show that the value added of Nanjing’s tertiary industry drives the port logistics of Nanjing port most significantly; the growth rate stabilizes at 0.006 after the 11th period. The growth of Nanjing port container throughput on the value added of Nanjing’s secondary industry changes most significantly and finally stabilizes at 0.0035.

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“…Fang et al [14] established a tourism economy network of contacts by modifying the gravity model and applied the social network analysis method to conduct a quantitative analysis of the network and analyze the reasons for the spatial differences in the tourism economy. Liang and Shi [15] and Bian [16] analyzed the evolution of the core-edge spatial structure of the tourism cities. Based on the tourist flow potential index, Huang [17] suggested that there was a significant linear relationship between the tourist flow potential and GDP in the YRDUA region.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics and Influencing Factors of Tourism Revenue in the Yangtze River Delta Urban Agglomeration Region during 2001–2019

et al. 2021

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Green development is a solution to achieve sustainable development, while tourism development is one of the best approaches to realize a green economy. As the most rapid economic development region in China, the Yangtze River Delta Urban Agglomeration (YRDUA) has also witnessed rapid changes in its tourism economy during 2001–2019. Here, we analyzed the spatiotemporal patterns of its tourism revenue, and further identified contributions from multiple socio-economic factors using spatial analysis tools and regression models. The total tourism revenue increased 14.35 fold, with an annual increase rate of 79.73% during 2001–2019. The proportion of tourism revenue to the GDP continuously increased from 11.57% in 2001 to 18.89% in 2019. Tourism revenue increased for all cities, with the least increasing rates in the metropolitan cities including Shanghai, Nanjing, Suzhou and Hangzhou, and the largest increase rates in Ma’anshan, Hefei, Huzhou and Zhoushan. A regression and causality test indicated that different socioeconomic factors controlled the spatiotemporal variation patterns in different cities. The economic structure in the YRDUA has undergone significant shifts, with an increasing importance of tourism revenue in the GDP for most cities and a reducing discrepancy of tourism revenue among cities. Our study can enable the policy makers to be aware of the magnitude, temporal variation patterns, differences among cities and controlling factors for tourism development, and thus take suitable measures to further promote green tourism development in the YRDUA region.

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The Core‐Periphery Structure in the Yangtze River Delta: An Enterprise Linkage Perspective, 1978–2019

Cited by 7 publications

References 45 publications

Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt

Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt

An empirical study on the economic linkage characteristics of Yangtze River port cities based on discrete second-order derivatives

Spatiotemporal Characteristics and Influencing Factors of Tourism Revenue in the Yangtze River Delta Urban Agglomeration Region during 2001–2019

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