Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis-Reference-Cited by-同舟云学术

Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis

Published:2020-03 Issue: Volume:133 Page:21-37
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Yu Danlin,Murakami Daisuke,Zhang Yaojun,Wu Xiwei,Li Ding,Wang Xiaoxi,Li Guangdong

Funder

National Natural Science Foundation of China’s

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference104 articles.

1. From periphery to core: measuring agglomeration effects using high-speed rail;Ahlfeldt;J. Econ. Geogr.,2018

2. Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan;Andersson;J. Transp. Geogr.,2010

3. Spatial dependence and spatial structural instability in applied regression-analysis;Anselin;J. Reg. Sci.,1990

4. Simple diagnostic tests for spatial dependence;Anselin;Reg. Sci. Urban Econ.,1996

5. A spatial econometric approach to the economics of site-specific nitrogen management in corn production;Anselin;Am. J. Agric. Econ.,2004

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