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Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model

Author

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  • Hao Zhang

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Jianxin You

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Xuekelaiti Haiyirete

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Tianyu Zhang

    (The York Management School, University of York, York YO10 5GB, UK)

Abstract

Due to the differences in the economic and social environment, production technology heterogeneity exists in the logistics industry among provinces in China. If this fact is ignored, the evaluation result of logistics efficiency may be biased. To this end, this study developed a new analysis framework for evaluating logistics efficiency with the consideration of technology heterogeneity and carbon emission through a metafrontier data envelopment analysis (DEA) method. Furthermore, the source of logistics inefficiency were identified. The proposed method was employed in the regional logistics industry in China from 2011 to 2017. The following empirical findings could be drawn: (1) The overall logistics efficiency is low in China, and great potential exists in improving logistics efficiency. (2) Significant disparities exist in logistics efficiency and the technology gap among the three areas. The east area has higher logistics efficiency with advanced technology, while the central area and the west area have lower logistics efficiencies. (3) The technology gap and management issues in the utilization of logistics resources are the two primary reasons resulting in the logistics efficiency loss in China. The effect of the management factor is significant in the east area, while the impact of the technology gap is dominant in the central area and the west area. Some policy suggestions for enhancing logistics efficiency are provided.

Suggested Citation

  • Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8157-:d:423141
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    Cited by:

    1. Chong Wu & Jiahua Gan & Zhuo Jiang & Anding Jiang & Wenlong Zheng, 2022. "Ecological Efficiency Evaluation, Spatial Difference, and Trend Analysis of Logistics Industry and Manufacturing Industry Linkage in the Northeast Old Industrial Base," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    2. WANG, Yang & Liu, Dinghan & Sui, Xiuping & Li, Fengchun, 2022. "Does logistics efficiency matter? Evidence from green economic efficiency side," Research in International Business and Finance, Elsevier, vol. 61(C).
    3. Gowangwoo Park & Seok-Kee Lee & Kanghwa Choi, 2021. "Evaluating the Service Operating Efficiency and Its Determinants in Global Consulting Firms: A Metafrontier Analysis," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    4. Heping Ding & Yuxia Guo & Xue Wu & Cui Wang & Yu Zhang & Hongjun Liu & Yujia Liu & Aiyong Lin & Fagang Hu, 2022. "Data-Driven Resource Efficiency Evaluation and Improvement of the Logistics Industry in 30 Chinese Provinces and Cities," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    5. Wei Ma & Xiaoshu Cao & Jiyuan Li, 2021. "Impact of Logistics Development Level on International Trade in China: A Provincial Analysis," Sustainability, MDPI, vol. 13(4), pages 1-18, February.

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