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Regional Differences and Spatial Aggregation of Sustainable Transport Efficiency: A Case Study of China

Author

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  • Fei Ma

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Xiaodan Li

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Qipeng Sun

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Fei Liu

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Wenlin Wang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Libiao Bai

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

Abstract

In the past few decades, traffic congestion, traffic accidents, and air pollution caused by transport become increasingly serious in China, so the issue of sustainable development of transport has attracted much attention. This study explores the development level of provincial sustainable transport in China, measures the level of sustainable development of China’s transport from the perspective of transport efficiency, and analyzes the differences and spatial effects of sustainable transport development. The undesired output of the super slacks-based-measurement data envelopment analysis (US-SBM-DEA) model is used to measure the sustainable transport efficiency ( STE ) in different provinces of China, and then the coefficient of variation ( CV ) and Gini coefficient ( GC ) are used to explore the regional differences of STE . Finally, we analyze the spatial aggregation of STE by the index of Moran’s I . The results show that the regional mean of STE presents a distribution in the order of eastern > western > central > northeastern regions. The CV reveals that there is a local σ-convergence in the STE differences among the four regions during the study period. The Moran scatter plot of STE shows that the provincial STE s in China are mainly the aggregations of high–low and low–low with the latter being more obvious. The GC basically remained at a relatively stable level during 2007–2015 while quickly decreased in 2016. i.e., the equity of sustainable transport increased dramatically in 2016. These results meet the actual development of the sustainable transport in China’s provinces and reflect the level of sustainable transport efficiency more objectively. The results of this study provides theoretical support for the provincial governments to formulate efficient transport policies.

Suggested Citation

  • Fei Ma & Xiaodan Li & Qipeng Sun & Fei Liu & Wenlin Wang & Libiao Bai, 2018. "Regional Differences and Spatial Aggregation of Sustainable Transport Efficiency: A Case Study of China," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2399-:d:157119
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    Cited by:

    1. Qipeng Sun & Xiu Wang & Fei Ma & Yanhu Han & Qianqian Cheng, 2019. "Synergetic Effect and Spatial-Temporal Evolution of Railway Transportation in Sustainable Development of Trade: An Empirical Study Based on the Belt and Road," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    2. Hao Xu & Yeqing Wang & Hongwei Liu & Ronglu Yang, 2020. "Environmental Efficiency Measurement and Convergence Analysis of Interprovincial Road Transport in China," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    3. Fei Ma & Fei Liu & Qipeng Sun & Wenlin Wang & Xiaodan Li, 2018. "Measuring and Spatio-Temporal Evolution for the Late-Development Advantage in China’s Provinces," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    4. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.

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