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作者:

Fang, Lei (Fang, Lei.) | Zhang, Xuewei (Zhang, Xuewei.) | Feng, Zihua (Feng, Zihua.) | Cao, Ce (Cao, Ce.)

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SSCI Scopus

摘要:

High-speed rail is an important transportation infrastructure that can promote regional economic growth and adjust industrial layout. To explore the impact of high-speed rail construction on the industrial spatial layout of China's Bay Area, the effects of high-speed rail construction on industrial spatial layout of the Circum-Bohai Great Bay Area, the Circum-Yangtze Estuary Great Bay Area, and the Guangdong-Hong Kong-Macao Greater Bay Area in China were analyzed by using DID (difference-in-differences) model and quantile treatment effect based on the panel data obtained from 2005 to 2016. Results demonstrate that high-speed rail construction significantly affects industrial spatial layout of urban areas. Due to high-speed rail construction, manufacturing and real estate industries in the Circum-Bohai Great Bay Area expand greatly and show a significant diffusion effect. This diffusion promotes agglomeration of wholesale and retail, real estate, transportation, warehousing, and post industries in small cities. High-speed rail construction exhibits an agglomeration effect on financial industry in the Circum-Yangtze Estuary Great Bay Area. High-speed rail construction facilitates clustering of manufacturing, financial, and transportation industries in small cities. The impact of high-speed rail construction on manufacturing, accommodation and catering, financial, transportation, warehousing, and post industries in Guangdong-Hong Kong-Macao Greater Bay Area shows a diffusion effect. In sum, high-speed rail construction causes an evolution of industrial agglomeration in three great bay areas in China. The conclusion provides decision references for optimization of industrial spatial layout in great bay areas.

关键词:

three Great Bay Area High-speed rail industrial agglomeration DID model quantile treatment effect

作者机构:

  • [ 1 ] [Fang, Lei]Henan Univ Econ & Law, Sch Finance, Zhengzhou, Henan, Peoples R China
  • [ 2 ] [Zhang, Xuewei]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Feng, Zihua]Henan Univ Sci & Technol, Sch Econ, Zhengzhou, Henan, Peoples R China
  • [ 4 ] [Cao, Ce]Univ Exeter, Sch Business, Exeter, Devon, England

通讯作者信息:

  • [Fang, Lei]Henan Univ Econ & Law, Sch Finance, Zhengzhou, Henan, Peoples R China

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来源 :

E & M EKONOMIE A MANAGEMENT

ISSN: 1212-3609

年份: 2020

期: 2

卷: 23

页码: 17-32

ESI学科: ECONOMICS & BUSINESS;

ESI高被引阀值:112

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

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