High-speed rail impact on urban economic growth -- Based on grey prediction model

DOI

10.2991/hsmet-18.2018.50How to use a DOI?

Keywords

High-speed railway, Urban economic growth, GM(1,1) model, Contribution rate.

Abstract

With the rapid development of high-speed railways, China has entered the era of high-speed rail. High-speed railways inject new impetus into the economic development of the city and enable the economy to achieve a new leap-forward development. This article takes Changsha City as an example to evaluate high-speed railways using comparative evaluation methods. It is assumed that under the conditions of “having high-speed rail” and “without high-speed rail” the impact of high-speed railway on regional economic development will be discussed by the regression model and gray predict the GM(1,l) model. The results show that the opening of high-speed rail has a pulling effect on urban economic growth and the contribution rate to economic growth shows a tendency of increasing first and then decreasing. Particularly, the contribution of high-speed rail to the economic growth in the first few years is swift and violent, with significant impact, then slows down.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yiping Wei
PY  - 2018/06
DA  - 2018/06
TI  - High-speed rail impact on urban economic growth -- Based on grey prediction model
BT  - Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
PB  - Atlantis Press
SP  - 265
EP  - 268
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-18.2018.50
DO  - 10.2991/hsmet-18.2018.50
ID  - Wei2018/06
ER  -