High-speed rail and urban green productivity: the mediating role of climatic conditions in China
High-speed rail and urban green productivity: the mediating role of climatic conditions in China
Climate change has become a global challenge to the economy and society, highlighting the urgent need for effective policy interventions. Green total factor productivity (GTFP) is a sine qua non for an environmental-friendly and sustainable economy. Therefore, this study investigates the causal relationship between the High-Speed Rail (HSR) and GTFP in a panel of 277 Chinese prefecture-level cities observed from 2003 to 2016. Using the Difference-in-Differences (DiD) approach, we demonstrate that the HSR opening has significantly increased urban GTFP. Furthermore, we explore the channels of the observed positive relationship between the HSR opening and urban GTFP. Specifically, we shed light on the mediating role of climatic conditions, air pollution, and factor agglomeration in the relationship between the HSR opening and GTFP. The results show that climatic conditions significantly mediate this relationship. HSR opening leads to lower pollution and more favourable climatic conditions. Improved climatic conditions drive talent gathering, investment gathering, and green technology concentration, which translate into higher GTFP. Government policies that create favourable climatic conditions to attract green investments in human and physical capital and stimulate green innovations can translate into higher GTFP.
Air pollution, China, Climatic conditions, Factor agglomeration, High-speed rail, Urban green Total factor productivity
Sun, Yunpeng
7058c2b8-b22f-4159-88bb-cab5886c09a5
Razzaq, Asif
e007a748-b31b-4726-b20e-8ce1efbef26a
Kizys, Renatas
9d3a6c5f-075a-44f9-a1de-32315b821978
Bao, Qun
139f6d15-eece-4a9e-ae42-f0c599bb4ad9
December 2022
Sun, Yunpeng
7058c2b8-b22f-4159-88bb-cab5886c09a5
Razzaq, Asif
e007a748-b31b-4726-b20e-8ce1efbef26a
Kizys, Renatas
9d3a6c5f-075a-44f9-a1de-32315b821978
Bao, Qun
139f6d15-eece-4a9e-ae42-f0c599bb4ad9
Sun, Yunpeng, Razzaq, Asif, Kizys, Renatas and Bao, Qun
(2022)
High-speed rail and urban green productivity: the mediating role of climatic conditions in China.
Technological Forecasting and Social Change, 185, [122055].
(doi:10.1016/j.techfore.2022.122055).
Abstract
Climate change has become a global challenge to the economy and society, highlighting the urgent need for effective policy interventions. Green total factor productivity (GTFP) is a sine qua non for an environmental-friendly and sustainable economy. Therefore, this study investigates the causal relationship between the High-Speed Rail (HSR) and GTFP in a panel of 277 Chinese prefecture-level cities observed from 2003 to 2016. Using the Difference-in-Differences (DiD) approach, we demonstrate that the HSR opening has significantly increased urban GTFP. Furthermore, we explore the channels of the observed positive relationship between the HSR opening and urban GTFP. Specifically, we shed light on the mediating role of climatic conditions, air pollution, and factor agglomeration in the relationship between the HSR opening and GTFP. The results show that climatic conditions significantly mediate this relationship. HSR opening leads to lower pollution and more favourable climatic conditions. Improved climatic conditions drive talent gathering, investment gathering, and green technology concentration, which translate into higher GTFP. Government policies that create favourable climatic conditions to attract green investments in human and physical capital and stimulate green innovations can translate into higher GTFP.
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Accepted/In Press date: 20 September 2022
e-pub ahead of print date: 3 October 2022
Published date: December 2022
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© 2022
Keywords:
Air pollution, China, Climatic conditions, Factor agglomeration, High-speed rail, Urban green Total factor productivity
Identifiers
Local EPrints ID: 472798
URI: http://eprints.soton.ac.uk/id/eprint/472798
ISSN: 0040-1625
PURE UUID: f0950dbf-8230-4415-ba82-7c34d533a9af
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Date deposited: 19 Dec 2022 17:41
Last modified: 03 Oct 2024 04:01
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Author:
Yunpeng Sun
Author:
Asif Razzaq
Author:
Qun Bao
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