Does China’s high-speed rail development lead to regional disparities? A network perspective

Liu, Shuli; Wan, Yulai; Zhang, Anming

doi:10.1016/j.tra.2020.06.010

Cited by 67 publications

(31 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These studies fall into three classifications: (i) those focusing on the structure of the railway transport network [25,26]; this type of research aims to analyze how the characteristics of the railway network change during its upgrade, and the frequently used indices includes the alpha index, gamma index, beta index, and the diameter of the network; (ii) studies focusing on how railway upgrading impacts the accessibility or connectivity of cities or regions; HSR can improve accessibility to the areas along the line, but its degree of influence varies with the location, scale, and basis of development of a given region or city [27][28][29]; (iii) the third line of research focuses on how HSR impacts regional economic development [30,31]; however, there is still no consensus. Among those studies, some hold that HSR promotes an increase in population, employment, gross domestic product (GDP) and local budgets [32][33][34] and has a positive effect on the coordinated development of the regional economy [35][36][37], but some hold the opposite or neutral view [38][39][40]. The impact of HSR on the economic disparity is also controversial.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Spatial Structure in China: Evidence from Railway Transport Network

Niu

Fang

2022

Land

View full text Add to dashboard Cite

This study analyzes the structure of China’s overall railway transport network and its sub-networks of conventional railway and high-speed railway, with the aim to understand the country’s economic spatial structure that is reflected by or underlines the railway transport network. First, the results indicate that compared with developed cities, backward cities not only have fewer train services but also lack a symmetrical transport plan; backward cities tend to connect with developed cities rather than within themselves. Second, the national-level urban hierarchy was established using the proposed algorithm, which helped reveal the economic geography of three economic plates in China. Third, the law of the primate city is not prominent in a large country such as China, which is undergoing regional restructuring with the economic center of gravity shifting to the coastal area while also moving south.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Economic Spatial Structure in China: Evidence from Railway Transport Network

Niu

Fang

2022

Land

View full text Add to dashboard Cite

show abstract

“…Several studies assessed the total external economic connections of cities as an indicator of city status in the regional spatial network [46][47][48]. Liu et al [49] investigated China's HSR impacts on regional disparities on the scale of territorial regions, city tiers grouped by population sizes, and city-clusters. The authors observed that disparities between regions and within city-clusters decreased after HSR arrived; however, the third-tier cities not in proximity to major metropolises fell farther behind as a result of HSR network expansion.…”

Section: Hsr Impacts On Spatial Developmentmentioning

confidence: 99%

The Impacts of High-Speed Rail on Regional Accessibility and Spatial Development—Updated Evidence from China’s Mid-Yangtze River City-Cluster Region

Liu

Zhang

2021

Sustainability

View full text Add to dashboard Cite

There has been long and ongoing interest in the impacts of high-speed rail (HSR) on regional spatial development. Most existing studies, however, reported findings at relatively coarse geographic scales, i.e., at the prefecture-city or above level in the Chinese context. This paper presents the empirical evidence of HSR impacts from the county-level cities in China’s Mid-Yangtze River City-Cluster Region (MYRCCR). The study utilized rail time data and the socio-economic data for MYRCCR’s 185 county-level cities in the years of 2006 (without HSR) and 2014 (with HSR) and analyzed the impacts of HSR on inter-city travel times, accessibility, spatial inequality, and regional economic linkages among the MYRCCR cities. The results show that, from 2006 to 2014, HSR reduced city-to-city average travel time by 34.5% or 124 min and improved accessibility to all cities in the MYRCCR. HSR’s impacts on accessibility and spatial equality exhibited a scale-differentiated pattern. MYRCCR-wide, HSR transformed a pattern of spatial polarization towards the one of corridorization. Cities located on major HSR corridors became more balanced in 2014 than in 2006. Nevertheless, at the county-city level, the gap between cities with the most and the least accessibility gains was much greater than the gap between those with the largest and the smallest travel time savings. Attributable to HSR services, the intensity of economic linkage increased between MYRCCR cities, especially between the provincial capital cities and those on the major lines of the national HSR grid, which implies an emerging process towards territorial cohesion in MYRCCR. National, provincial, and local governments should consider transportation as well as non-transportation policies and measures to direct HSR impacts towards further enhanced spatial development and regional equality.

show abstract

“…In the literature on infrastructure and development, some findings point out different highways effects on development depending on the level of development of the country or region (Calderón and Serven, 2014;Chen and Vickerman, 2016;Deng et al, 2014;Hong, Chu and Wang, 2011). Some studies also argued that the benefits associated to the increased provision of highways are unevenly distributed across sectors and space (Cosci and Mirra, 2018;Holl, 2016;Liu, Wan and Zhang, 2020;Qi et al, 2020). Infrastructure effects on growth and productivity might be greater in the initial stages of development, than in mature economies .…”

Section: Regional Heterogeneitymentioning

confidence: 99%

Transportation infrastructure and University-Industry collaborations: regional-level evidence from Brazil

Medeiros¹,

Stein²,

Ribeiro³

et al. 2021

Blucher Engineering Proceedings

View full text Add to dashboard Cite

As universidades têm desempenhado um papel importante na promoção da inovação no nível da empresa. As interações universidade-empresa são assunto de crescente interesse nos estudos sobre inovação. A literatura identificou que spillovers de conhecimento são limitados no espaço. Assim, uma infraestrutura de transporte adequada pode amplificar transbordamentos de conhecimento, conectando locais e promovendo a difusão do conhecimento. Neste trabalho, examinamos o impacto de um aumento no provimento de estradas sobre as interações universidade-empresa no Brasil, usando modelos de variáveis instrumentais para tratar possíveis problemas de endogeneidade. Nossos resultados sugerem que rodovias impactam positivamente as interações U-E. Também mostramos que os efeitos das estradas nas interações U-E locais são maiores para empresas e grupos de pesquisa de pequeno porte, grupos de pesquisa de alta qualidade e microrregiões líderes. Além disso, encontramos que a rede de estradas pode estar concentrando espacialmente os fluxos de conhecimento no Brasil.

show abstract

Does China’s high-speed rail development lead to regional disparities? A network perspective

Cited by 67 publications

References 43 publications

Economic Spatial Structure in China: Evidence from Railway Transport Network

Economic Spatial Structure in China: Evidence from Railway Transport Network

The Impacts of High-Speed Rail on Regional Accessibility and Spatial Development—Updated Evidence from China’s Mid-Yangtze River City-Cluster Region

Transportation infrastructure and University-Industry collaborations: regional-level evidence from Brazil

Contact Info

Product

Resources

About