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Evaluation of Green Logistics Efficiency in Jiangxi Province Based on Three-Stage DEA from the Perspective of High-Quality Development

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Listed:
  • Weihua Gan

    (School of Transportation and Logistics, East China Jiaotong University, Nanchang 330013, China)

  • Wenpei Yao

    (School of Transportation and Logistics, East China Jiaotong University, Nanchang 330013, China)

  • Shuying Huang

    (School of Transportation and Logistics, East China Jiaotong University, Nanchang 330013, China)

Abstract

The high-quality development of the logistics industry plays an important role in high-quality economic development. Green logistics is attracting more attention, owing to environmental concern. Based on the five concepts of “innovation, coordination, green, openness and sharing” of high-quality economic development, the input–output indicators of green logistics efficiency (GLE) have been designed. The correlation between the green logistics input and output indicators have been analyzed by Pearson, and the green logistics efficiency of 11 cities in Jiangxi Province has been calculated by three-stage DEA. The evolutionary characteristics of the high-quality development of green logistics efficiency in Jiangxi Province were analyzed and evaluated. The conclusions were achieved as follows: (1) Nanchang, Xinyu and Ganzhou city are at the forefront of efficiency, and are less affected by environmental factors. The logistics efficiency of other cities is obviously affected by environmental factors. (2) The comprehensive technical efficiency (TE) of green logistics in Jiangxi Province is strongly influenced by scale efficiency (SE). The poor scale efficiency reduces the comprehensive technical efficiency of green logistics. (3) There is a positive correlation between high-quality economic development and logistics efficiency. In these cities of Jiangxi province (Nanchang, Ganzhou, Jiujiang, etc.) the share of total economy and green logistics efficiency is high. This study proves that Jiangxi province is moving towards high-quality economic development due to good environmental protection. (4) In 2017, Jiangxi Province was recognized as one of the national ecological civilization pilot region by the State Council. Green logistics efficiency in Jiangxi Province showed an inflection point in 2017, indicating that the green concept is becoming more and more popular. From the government to enterprises, the province has achieved initial results in promoting the transformation of the economic development mode. It aims to provide reference for the high-quality development of other provinces.

Suggested Citation

  • Weihua Gan & Wenpei Yao & Shuying Huang, 2022. "Evaluation of Green Logistics Efficiency in Jiangxi Province Based on Three-Stage DEA from the Perspective of High-Quality Development," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:797-:d:722466
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    References listed on IDEAS

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    1. Bo-Rui Yan & Qian-Li Dong & Qian Li & Fahim UI Amin & Jia-Ni Wu, 2021. "A Study on the Coupling and Coordination between Logistics Industry and Economy in the Background of High-Quality Development," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
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    Cited by:

    1. Yu He & Wenkuan Chen, 2023. "Evaluation of Sustainable Development Policy of Sichuan Citrus Industry in China Based on DEA–Malmquist Index and DID Model," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    2. Wen Qin & Xiaolie Qi, 2022. "Evaluation of Green Logistics Efficiency in Northwest China," Sustainability, MDPI, vol. 14(11), pages 1-14, June.
    3. Pei Fun Lee & Weng Siew Lam & Weng Hoe Lam, 2023. "Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model," Mathematics, MDPI, vol. 11(3), pages 1-15, January.
    4. Tao Zhou & Rui Ding & Yiming Du & Yilin Zhang & Shihui Cheng & Ting Zhang, 2022. "Study on the Coupling Coordination and Spatial Correlation Effect of Green Finance and High-Quality Economic Development—Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-22, March.

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