Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China

Guo, Ying; Cao, Lingyan; Song, Yunping; Wang, Yan; Li, Yongkui

doi:10.1016/j.tranpol.2021.12.014

Cited by 22 publications

(8 citation statements)

References 55 publications

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“…High-Speed Rail in China HSR is a railway system that operates at speeds faster than 250 km/h (according to the definition presented by the National Railway Administration of the People's Republic of China). The first HSR went into operation in China in 2008, and by the end of 2020, had a 38,000-km network, which accounted for two-thirds of the world's HSR networks [54]. HSR infrastructure construction has strengthened social and economic activities between connected cities [55].…”

Section: Data Variables and Methodsmentioning

confidence: 99%

The Effect of High-Speed Rail on Cropland Abandonment in China

Shi

Wang

2022

Land

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This study analyzed Chinese labor-force survey data to determine the relationship between cropland abandonment and high-speed rail (HSR) infrastructure. A PSM-DID approach was employed to examine 2014 and 2016 data from the China Labor-force Dynamics Survey and estimate the impact of HSR, from which it was found that HSR accessibility promoted cropland abandonment in local farm households with a coefficient of 0.206, that is, HSR projects led to a 20.6% increase in area of cropland abandonment and these impacts were found to be greater in hilly areas and lower in plain areas. The results also suggested that HSR accessibility could have a “pull” effect, which resulted in rural labor force shifts to non-agricultural sectors in the local region. Countermeasures and policy suggestions are given to reduce cropland abandonment.

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Section: Data Variables and Methodsmentioning

confidence: 99%

The Effect of High-Speed Rail on Cropland Abandonment in China

Shi

Wang

2022

Land

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“…Meanwhile, there are also some studies on regional transportation networks based on high-speed railway data [ 13 ], invention patent data [ 14 ], and enterprise data [ 15 ] in the Yangtze River Delta. This kind of studies mainly measures the urban network structure and urban grade division and especially pay attention to the content of the transportation system [ 16 , 17 ]. Recently many scholars have also analyzed the characteristics of the interaction network structure more deeply based on population flows, information flows, and financial flows [ [18] , [19] , [20] ].…”

Section: Literature Reviewmentioning

confidence: 99%

Revisiting the regional sustainable development from the perspective of multi-system factor flows–Evidence in the Yangtze River Delta of China

Shen¹,

Zhang²,

Li³

2023

Heliyon

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“…Joint pollution prevention and control efforts can create a trans-regional mechanism for cooperation in reducing industrial emissions, thus strengthening the spatial correlation in high-quality development [46]. 4 Openness.…”

Section: Greennessmentioning

confidence: 99%

The Spatial Correlation Network of China’s High-Quality Development and Its Driving Factors

Chen,

Li,

Zhang

et al. 2023

Sustainability

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The spatial correlation of high-quality development has emerged as a crucial approach to tackling economic polarization. This study assesses the level of high-quality development in China from 2006 to 2020, utilizing the new development concept. Social network analysis is employed to explore the spatial correlation mechanism of high-quality development. The quadratic assignment procedure (QAP) is used to analyze the driving factors that impact spatial correlation systems from both internal and external perspectives. The research indicates that China’s level of high-quality development has consistently improved between 2006 and 2020. The spatial correlation network has increasingly become more connected, while the eastern provinces, specifically Shanghai and Beijing, have a significant influence in the spatial correlation of high-quality development. However, the central and western provinces, such as Xinjiang and Inner Mongolia, occupy peripheral positions in this network. Furthermore, clear spatial correlation and spillover effects are apparent among the dimensions. From an internal standpoint, innovation, greenness, openness, and sharing are the key factors that contribute to establishing a high-quality development network. In addition, external elements such as financial development, social consumption, and convenient transportation are interconnected in space, which promote the creation of a high-quality development network. Local protectionism and population concentration impede the establishment of a high-quality development network.

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Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China

Cited by 22 publications

References 55 publications

The Effect of High-Speed Rail on Cropland Abandonment in China

The Effect of High-Speed Rail on Cropland Abandonment in China

Revisiting the regional sustainable development from the perspective of multi-system factor flows–Evidence in the Yangtze River Delta of China

The Spatial Correlation Network of China’s High-Quality Development and Its Driving Factors

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