Does High-Speed Rail Promote Agglomeration in China?

Lin, Shanlang; Gan, Tian

doi:10.1155/2022/6443204

Cited by 4 publications

(2 citation statements)

References 61 publications

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“…Meanwhile, the Kleibergen-Paap F-statistics are 74.06 and 69.87, which are much larger than 10. This indicates no weak IV problem in the relevant empirical results (Lin & Gan, 2022;Wei et al, 2022). Columns (3) and (4) in Table 3 report the second-stage and IV estimates.…”

Section: Estimates On the Impact Of Industrial Robotsmentioning

confidence: 84%

Do industrial robots affect the labour market? Evidence from China

Zhang

Gan

Fan

2023

Econ of Transit and Inst Chang

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The industrial robot is an essential part of modern manufacturing. Using micro‐level data, this study investigates the effects of industrial robots on the labour market in China. The results show that the adoption of industrial robots increases firm‐level employment by 31.65%. Using the Bartik method, we construct robot penetration as an instrumental variable of robot adoption to tackle endogenous problems. Our results stand up to a series of robustness checks. Moreover, the effects of robots are mainly owing to the expansion of the output scale, increased productivity, and upgraded products. We also find the skill‐biased impact of robots and the spillover effect of industrial robots through production networks.

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Section: Estimates On the Impact Of Industrial Robotsmentioning

confidence: 84%

Do industrial robots affect the labour market? Evidence from China

Zhang

Gan

Fan

2023

Econ of Transit and Inst Chang

Self Cite

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“…Econometric method Multiple linear regression [48], DID [39,49], multistage DID estimation [16,47] Focus on identifying the effects of railway opening on the extent of urban sprawl. DID taken the new railway opening as the treatment of policy implementation to examine the differences in urban sprawl before and after the treatment.…”

Section: Methods Characteristic and Usementioning

confidence: 99%

Spatial Effects of Railway Network Construction on Urban Sprawl and Its Mechanisms: Evidence from Yangtze River Delta Urban Agglomeration, China

Yi,

He,

2023

Land

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Urban sprawl has become a notable feature in China. Previous studies have found that railway development has a significant effect on urban sprawl. However, the detailed mechanisms of how railways affect urban sprawl have not been studied in depth. Furthermore, China’s railway system has already formed a network. The network status of cities within the railway network may affect urban sprawl, but few studies have examined this factor. In this context, to explore the effects of railway networks on urban sprawl and the mechanisms of these effects, this study applied the social network analysis (SNA) method to measure the indicators of railway network characteristics and conducted panel model regression with the above indicators using the data from 26 cities from 2011 to 2019 in the Yangtze River Delta (YRD) in China. The main conclusions are as follows: (1) Railway network construction has a significantly positive impact on urban sprawl through the network agglomeration and diffusion mechanisms. (2) The network agglomeration mechanism improves the location condition of the central cities on the railway network, which encourages urban sprawl as an agglomeration pattern. (3) The network diffusion mechanism enhances the integration of the peripheral cities with the central city on the railway network, which encourages urban sprawl as a diffusion pattern. The network diffusion mechanism is heterogeneous in metropolitan areas (MAs) for the different levels of central city agglomeration. The findings provide a reference for railway construction and urban planning.

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