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High-speed rail, economic agglomeration and urban innovation: analysis of Chinese evidence

High-speed rail, economic agglomeration and urban innovation: analysis of Chinese evidence
High-speed rail, economic agglomeration and urban innovation: analysis of Chinese evidence
By adjusting the spatial and temporal distance between small and medium-sized cities and provincial capital cities, high-speed rail has reshaped the distribution of innovation resources, and eventually significantly affected China’s economy. Employing data from 284 Chinese prefecture-level cities for the period of 2005 to 2015, this paper uses the propensity score matching model (PSM-DID) to analyze the relationship between the high-speed rail opening and urban innovation in China. Our empirical results show that: 1) the opening of high-speed rail significantly improves the overall level of urban innovation in China, but affected by “the distance from provincial capital” which present a “∽”-type structural feature 2) the mechanism of the effect of high-speed rail on urban innovation is mainly to promote economic agglomeration; and 3) the impact of high-speed rail opening on urban innovation has gradually declined characteristics based on opening time and regional economy heterogeneity.
economic agglomeration, economic density, geographical distance, High-speed rail, urban innovation
1476-5284
363-386
Pan, Shuang
df9c0648-7997-4ea5-81d9-a5f325c36245
Wang, Hao Nan
766716f1-ec4c-4bdc-b054-e07b45f08e32
Li, Yangda
1bf810b0-e8c0-48a1-b42f-d0a12b26fb99
Chen, Libo
66bd3c29-7918-4fc3-aa7d-9a9fa1913e36
Pan, Shuang
df9c0648-7997-4ea5-81d9-a5f325c36245
Wang, Hao Nan
766716f1-ec4c-4bdc-b054-e07b45f08e32
Li, Yangda
1bf810b0-e8c0-48a1-b42f-d0a12b26fb99
Chen, Libo
66bd3c29-7918-4fc3-aa7d-9a9fa1913e36

Pan, Shuang, Wang, Hao Nan, Li, Yangda and Chen, Libo (2023) High-speed rail, economic agglomeration and urban innovation: analysis of Chinese evidence. Journal of Chinese Economic and Business Studies, 21 (3), 363-386. (doi:10.1080/14765284.2023.2222567).

Record type: Article

Abstract

By adjusting the spatial and temporal distance between small and medium-sized cities and provincial capital cities, high-speed rail has reshaped the distribution of innovation resources, and eventually significantly affected China’s economy. Employing data from 284 Chinese prefecture-level cities for the period of 2005 to 2015, this paper uses the propensity score matching model (PSM-DID) to analyze the relationship between the high-speed rail opening and urban innovation in China. Our empirical results show that: 1) the opening of high-speed rail significantly improves the overall level of urban innovation in China, but affected by “the distance from provincial capital” which present a “∽”-type structural feature 2) the mechanism of the effect of high-speed rail on urban innovation is mainly to promote economic agglomeration; and 3) the impact of high-speed rail opening on urban innovation has gradually declined characteristics based on opening time and regional economy heterogeneity.

Text
RCEA-2022-0049_R2 - Accepted Manuscript
Restricted to Repository staff only until 20 December 2024.
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More information

Accepted/In Press date: 21 May 2023
e-pub ahead of print date: 21 June 2023
Published date: 2023
Additional Information: Publisher Copyright: © 2023 The Chinese Economic Association–UK.
Keywords: economic agglomeration, economic density, geographical distance, High-speed rail, urban innovation

Identifiers

Local EPrints ID: 479969
URI: http://eprints.soton.ac.uk/id/eprint/479969
ISSN: 1476-5284
PURE UUID: 08815fc0-f350-4492-8326-c044fa67e266

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Date deposited: 31 Jul 2023 16:50
Last modified: 17 Mar 2024 03:31

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Contributors

Author: Shuang Pan
Author: Hao Nan Wang
Author: Yangda Li
Author: Libo Chen

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