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An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development

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  • Chia-Nan Wang

    (Department of Industrial Engineering and Management, Fortune Institute of Technology, Kaohsiung 83160, Taiwan
    Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan)

  • Hong-Xuyen Thi Ho

    (Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan)

  • Shih-Hsiung Luo

    (Department of Business Administration, Fortune Institute of Technology, Kaohsiung 83160, Taiwan)

  • Tsung-Fu Lin

    (Department of Management Information Systems, National Chengchi University, Taipei 11605, Taiwan)

Abstract

Balancing economic development with environmental protection has become a critical concern worldwide. However, along with the highly competitively global marketplace, economic factors are known to directly affect an enterprise’s development and its future business. Therefore, selecting the right partner for sustainable collaboration that will lead to improved business performance and reduce carbon dioxide (CO 2 ) emissions is a significant problem for many enterprises. In addition, investigating the economic impact of companies that are charged to protect the environment is becoming increasingly problematic. Thus, the purpose of this paper is to evaluate the comparative efficiencies of 16 Green Logistics Providers (GLPs) in the USA from 2012 to 2015, and the projected four-year period of 2016–2019, by means of an integrated approach that combines the grey forecasting model GM (1,1) and Data Envelopment Analysis (DEA). The results show that there are two GLPs, Knight Transportation and the Union Pacific Corporation, that possess a higher efficiency level and are achieving positive technical change. However, this study also determined that Hyster-Yale Materials Handling and CSX Corporation did not reach an acceptable efficiency score; therefore, they should improve technical efficiency to mitigate environmental concerns. This completely integrative methodology has the potential to provide the best decision-making strategies for finding suitable collaborative partners who are able to meet the sustainability requirements in most economic and environmental areas.

Suggested Citation

  • Chia-Nan Wang & Hong-Xuyen Thi Ho & Shih-Hsiung Luo & Tsung-Fu Lin, 2017. "An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development," Sustainability, MDPI, vol. 9(2), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:218-:d:89467
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    1. Chia-Nan Wang & Ming-Hsun Lin & Chung-Jen Huang & Ching-Chiu Huang & Ruei-Yuan Liao, 2017. "Using TRIZ to Improve the Procurement Process of Spare Parts in the Taiwan Navy," Sustainability, MDPI, vol. 9(10), pages 1-12, October.
    2. Sebastjan Lazar & Dorota Klimecka-Tatar & Matevz Obrecht, 2021. "Sustainability Orientation and Focus in Logistics and Supply Chains," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    3. Chia-Nan Wang & Nhat-Luong Nhieu & Yu-Chi Chung & Huynh-Tram Pham, 2021. "Multi-Objective Optimization Models for Sustainable Perishable Intermodal Multi-Product Networks with Delivery Time Window," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    4. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    5. Jagannath Roy & Dragan Pamučar & Samarjit Kar, 2020. "Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach," Annals of Operations Research, Springer, vol. 293(2), pages 669-714, October.
    6. Yunchan Zhu & Shuo Han & Yimeng Zhang & Qi Huang, 2021. "Evaluating the Effect of Government Emission Reduction Policy: Evidence from Demonstration Cities in China," IJERPH, MDPI, vol. 18(9), pages 1-16, April.
    7. Chia-Nan Wang & Hong-Xuyen Thi Ho & Ming-Hsien Hsueh, 2017. "An Integrated Approach for Estimating the Energy Efficiency of Seventeen Countries," Energies, MDPI, vol. 10(10), pages 1-16, October.
    8. Hai-Na Zhang, 2023. "Coupling System Dynamics Model of Cross Border Logistics and Ecological Environment Based on the Sustainable Perspective of Global Value Chain," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    9. Hongyou Lu & Yunchan Zhu & Yu Qi & Jinliang Yu, 2018. "Do Urban Subway Openings Reduce PM 2.5 Concentrations? Evidence from China," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    10. Chia-Nan Wang & Hector Tibo & Duy Hung Duong, 2020. "Renewable Energy Utilization Analysis of Highly and Newly Industrialized Countries Using an Undesirable Output Model," Energies, MDPI, vol. 13(10), pages 1-21, May.
    11. Supriyo Roy & R. P. Mohanty, 2024. "Green logistics operations and its impact on supply chain sustainability: An empirical study," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1447-1476, February.
    12. Mingxia Shi & Yibo Wang, 2023. "Do Green Transfer Payments Contribute to Carbon Emission Reduction?," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    13. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.

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