Analysis of the Green Development Effects of High-Speed Railways Based on Eco-Efficiency: Evidence from Multisource Remote Sensing and Statistical Data of Urban Agglomerations in the Middle Reaches of the Yangtze River, China

Xiangjing Zeng, Yong Ma, Jie Ren () and Biao He
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Xiangjing Zeng: School of Tourism, Hainan University, Haikou 570228, China
Yong Ma: School of Tourism, Hainan University, Haikou 570228, China
Jie Ren: School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Biao He: School of Tourism, Hainan University, Haikou 570228, China

IJERPH, 2022, vol. 19, issue 24, 1-20

Abstract: As part of the modern transport infrastructure, high-speed railways (HSRs) have been considered an important factor affecting eco-efficiency (EE). This study used multisource remote sensing and statistical data from 185 counties representing urban agglomerations in the middle reaches of the Yangtze River (UAMRYR) in China from 2009 to 2018. The study integrated ArcGIS analysis, the Super-SBM (super slack-based measure) model, and the DSPDM (dynamic spatial panel Durbin model) to explore the spatial effects of HSRs on EE. The results showed that the coordinates of the interannual centers of gravity for EE and HSRs both fell in the same county, possessing similar parameter values for the standard deviation elliptical, a negative spatial mismatch index, and obvious spatial mismatch characteristics. In different spatially dislocated areas, the spatial effects of HSRs on EE are variable. Overall, the short-term effects are more intense than the long-term effects, and both the long-term and short-term effects are dominated by the effects of spatial spillover. A new perspective is proposed to explore the green development effects of HSRs, with a view to providing policy implications for the enhancement of EE and the planning of HSRs.

Keywords: eco-efficiency; high-speed railways; multisource remote sensing data; spatial effects; urban agglomerations; middle reaches of the Yangtze River; county (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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