‘No county left behind?’ The distributional impact of high-speed rail upgrades in China

By Yu Qin. 2016

411 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/3f5be85932ac5b07dde906a1e484f565074ace9f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. A. Feddersen
2. Yang Xie
3. Guojun He
4. Bing Zhang
5. Gabriel M. Ahlfeldt

In Transportation

1. Gabriel M. Ahlfeldt
2. A. Feddersen

Citations in the corpus

• From periphery to core: measuring agglomeration effects using high-speed rail (2018, background): “From periphery to core 7 (Lin, 2014; Qin, 2016; Zheng & Kahn, 2013).”
• Expressways, GDP, and the environment: The case of China (2020, background): “Notable examples that focus on China, besides the ones that will be discussed below, include Banerjee et al. (2012), Zheng and Kahn (2013), Qin (2017), and Alder and Kondo (2018).”