High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China

Zhou, Zhengyi; Zhang, Anming

doi:10.1016/j.tra.2021.05.001

Cited by 39 publications

(21 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Empirical studies have also evaluated the relationship between the decrease in transportation costs and the redistribution of economic activities (Reggiani & Ortiz‐Moya, 2022; Sasaki et al, 1997; Zhou & Zhang, 2021). Taking industrial structure, employment, house prices, and other economic indicators as the research objects, previous studies have explored the transfer of economic activities between regions determined by a decrease in transportation costs.…”

Section: Literature Review and Conceptual Frameworkmentioning

confidence: 99%

Does the bullet train exacerbate urban shrinkage? Lessons from Japan

Wang

Qian

2023

Papers in Regional Science

View full text Add to dashboard Cite

This paper evaluates the driving forces of urban shrinkage, focusing on transportation infrastructure using a conceptual framework. Employing a difference-in-difference approach, this study explores the impact of the high-speed railway on local shrinkage by focusing on implementing the bullet train in the Kyushu Shinkansen region of Japan. Our results show that after the introduction of the bullet train line, remote peripheral regions suffered population loss while suburban areas near the metropolitan area experienced population growth. Further analysis verifies that the bullet train had a particularly significant negative impact on local employment and establishments in the service sector in remote regions.

show abstract

Section: Literature Review and Conceptual Frameworkmentioning

confidence: 99%

Does the bullet train exacerbate urban shrinkage? Lessons from Japan

Wang

Qian

2023

Papers in Regional Science

View full text Add to dashboard Cite

show abstract

“…The current research on industrial agglomeration, agricultural agglomeration and environmental pollution has been widely studied by domestic and foreign scholars from different perspectives.Firstly, studies on industrial agglomeration mainly involve: the definition of the concept of industrial agglomeration by Alfred, M (2013), Alfred, W(1929), Joseph (1983, Edgar (1975), Michael(1990); the reasons for the formation of industrial agglomeration, such as spatial costs (Henry 1992), regional house price differences (Zhou and Zhang 2021), and marketization (Wenfang Anlu 2021); the regional economic effects of industrial agglomeration, such as promoting technological progress (Hou et al 2021), optimizing resource allocation (Zhang and Lin 2022), and reducing pollution emissions (Zhuang et al 2021); and the measurement of industrial agglomeration, such as the Herfindahl index (Qiu and Wu 2010), concentration index (Dong et al 2021), Gini coefficient (Chang and Oxley 2009), and locational entropy index (Sikorski and Brezden 2021).Secondly, studies on agricultural agglomeration mainly concern: the causes of agricultural agglomeration formation, including the improvement of technology and human capital (Griffith et al 2004;Rosenthal and Strange 2004), technology exchange (XIAO and LI 2014), demonstration and learning effects (Xu et al 2022), and artificial intelligence [(WANG 2021); the spatial and temporal evolutionary trends of agricultural agglomeration (Chi et al 2022;Li and Li 2022;FU et al 2021;Ni and Wang 2018); and the economic effects of agricultural agglomeration, including promoting the economic growth of agricultural industries (He et al 2021;Wang and Liu 2012;Hailu and Deaton 2016), facilitating labor productivity (TVETERAS and BATTESE 2006;Xin and Qin 2011), boosting agricultural industrialization , and advancing the income level of farmers (Balezentis and Sapolaite 2020). Finall...…”

Section: Introductionmentioning

confidence: 99%

Spatial Spillover Effects of Agricultural Agglomeration on Agricultural Non-Point Source Pollution in the Yangtze River Basin of China

Zhu

Huang

2022

Preprint

View full text Add to dashboard Cite

Studying the impact of agricultural agglomeration (AGG) on agricultural non-point source pollution (NPS) is important for reconciling the resource environment and agricultural economic growth.The paper is based on the panel data of 89 prefecture-level cities in the main agricultural production areas of the Yangtze River basin from 2000 to 2020, measuring the level of AGG and NPS emissions in each area and employing spatial analysis techniques and spatial econometric models to empirically investigate the spatial and temporal distribution characteristics and spatial spillover effects of AGG and NPS.The results show that there are differences in temporal changes, spatial distribution, spatial association and spatial evolutionary trends between AGG and agricultural surface pollution, and the changes in the upper, middle and lower basin show non-equilibrium characteristics;NPS has a positive spatial spillover effect, and AGG has a positive direct impact effect and a negative spatial spillover effect on NPS, and there are a differences in the direct impact effect and spatial spillover effect between upper, middle and lower basin;Agricultural production conditions and the share of livestock and poultry industry have a positive direct effect and a negative spatial spillover effect on NPS, while agricultural population size has a positive direct effect and spatial spillover effect;The urbanization rate exacerbates the emission of NPS, while the industrial structure reduces the emission of NPS, but neither has a spatial spillover effect.The fndings of this paper cannot only provide a theoretical basis and practice reference for NPS and AGG evaluation but also beneft more focused policy-making of the Green and sustainable development of agriculture in Yangtze River Basin.

show abstract

“…Researchers have investigated the impacts of HSR from several perspectives. One recent study used house prices and city-level gross domestic product (GDP) to evaluate impacts on industrial development (Zhou & Zhang 2021). Other researchers have assessed the impact of HSR on urbanisation and population (Wang et al 2019), choice of destination amongst tourists (Campa, López-Lambas & Guirao 2016;Chen & Haynes 2012;Liu, Yun & Liu 2016;Pagliara & Mauriello 2022), social inequity (Liu et al 2016;Ren et al 2020;Zhang & Meng 2016) and mode market share (Álvarez-SanJaime et al 2015;Borsati & Albalate 2020).…”

Section: Introductionmentioning

confidence: 99%

Motivations and barriers to using high-speed rail: An application of conjoint analysis – Insights from Vietnam

Ngoc

2022

J. transp. supply chain manag.

View full text Add to dashboard Cite

Background: Nowadays, a gradual change in customers’ attitudes towards transport service makes it more challenging to understand the reasons behind customers’ travel decisions. High-speed rail (HSR) has been mentioned recently and is expected as the best and most modern transport option in long-distance trips in Vietnam. However, research studies have paid scant regard to how HSR’s attributes may affect potential users, and therefore the motivations and barriers to adopting HSR are still unknown.Objectives: This study aimed at examining motivations and barriers to take-up HSR for considering customers’ preference on the proper attributes and levels of HSR.Method: This study drew on a nationwide survey and conjoint analysis to investigate customers’ behaviour.Results: In Vietnam’s context, HSR ticket was found to be the principal barrier to adoption, whereas the speed of HSR was identified as the least important behavioural driver amongst potential HSR users. The results show that HSR design and planning should provide a combination of minimum check-in and waiting time, a 20-min frequency, average speed of 250 km/h, all add-on services and facilities, ticketing of approximately VND 500–700 thousand per 300–500 km and nearby all-day parking.Conclusion: This investigation has demonstrated the value of conjoint analysis to compare a wide range of attributes associated with consumers’ decision to use HSR. The findings indicate that in countries such as Vietnam, in particular, where train usage is low, policymakers and transportation agencies seeking to boost the use of HSR must take attributes other than fare into consideration.

show abstract

High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China

Cited by 39 publications

References 35 publications

Does the bullet train exacerbate urban shrinkage? Lessons from Japan

Does the bullet train exacerbate urban shrinkage? Lessons from Japan

Spatial Spillover Effects of Agricultural Agglomeration on Agricultural Non-Point Source Pollution in the Yangtze River Basin of China

Motivations and barriers to using high-speed rail: An application of conjoint analysis – Insights from Vietnam

Contact Info

Product

Resources

About