NDLI: 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.

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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.

Content Provider	Europe PMC
Author	Zeng, Xiangjing Ma, Yong Ren, Jie He, Biao
Editor	Jiao, Wenjun Wang, Lingen Filimonau, Viachaslau
Copyright Year	2022
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.
ISSN	16617827
Journal	International Journal of Environmental Research and Public Health [Int J Environ Res Public Health]
Volume Number	19
DOI	10.3390/ijerph192416431
PubMed Central reference number	PMC9778274
Issue Number	24
PubMed reference number	36554311
e-ISSN	16604601
Language	English
Publisher	Molecular Diversity Preservation International (MDPI)
Publisher Date	2022-12-07
Access Restriction	Open
Subject Keyword	eco-efficiency high-speed railways multisource remote sensing data spatial effects urban agglomerations middle reaches of the Yangtze River county
Content Type	Text
Resource Type	Article
Subject	Health, Toxicology and Mutagenesis Pollution Public Health, Environmental and Occupational Health

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