IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i2p218-d89467.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/2/218/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/2/218/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lo, Shih-Fang & Lu, Wen-Min, 2009. "An integrated performance evaluation of financial holding companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 198(1), pages 341-350, October.
    2. Chih-Chao Chung & Li-Chung Chao & Shi-Jer Lou, 2016. "The Establishment of a Green Supplier Selection and Guidance Mechanism with the ANP and IPA," Sustainability, MDPI, vol. 8(3), pages 1-24, March.
    3. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    4. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    5. Joe Zhu, 2014. "Quantitative Models for Performance Evaluation and Benchmarking," International Series in Operations Research and Management Science, Springer, edition 3, number 978-3-319-06647-9, July-Dece.
    6. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    7. Roberto Maria Grisi & Luigi Guerra & Giuseppe Naviglio, 2010. "Supplier Performance Evaluation for Green Supply Chain Management," Springer Books, in: Paolo Taticchi (ed.), Business Performance Measurement and Management, chapter 0, pages 149-163, Springer.
    8. Ki‐Hoon Lee & Ji‐Whan Kim, 2011. "Integrating Suppliers into Green Product Innovation Development: an Empirical Case Study in the Semiconductor Industry," Business Strategy and the Environment, Wiley Blackwell, vol. 20(8), pages 527-538, December.
    9. Stephen Fowler & C. Hope, 2007. "A Critical Review of Sustainable Business Indices and their Impact," Journal of Business Ethics, Springer, vol. 76(3), pages 243-252, December.
    10. Li Sun & Marty Stuebs, 2013. "Corporate Social Responsibility and Firm Productivity: Evidence from the Chemical Industry in the United States," Journal of Business Ethics, Springer, vol. 118(2), pages 251-263, December.
    11. Nana Geng & Yong Zhang & Yixiang Sun & Yunjian Jiang & Dandan Chen, 2015. "Forecasting China’s Annual Biofuel Production Using an Improved Grey Model," Energies, MDPI, vol. 8(10), pages 1-20, October.
    12. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    13. Jiaxing Pang & Xingpeng Chen & Zilong Zhang & Hengji Li, 2016. "Measuring Eco-Efficiency of Agriculture in China," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    14. Hamdan, Amer & (Jamie) Rogers, K.J., 2008. "Evaluating the efficiency of 3PL logistics operations," International Journal of Production Economics, Elsevier, vol. 113(1), pages 235-244, May.
    15. Yuh-Horng Wen, 2011. "Shipment forecasting for supply chain collaborative transportation management using grey models with grey numbers," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(6), pages 605-624, June.
    16. Ying-Fang Huang & Chia-Nan Wang & Hoang-Sa Dang & Shun-Te Lai, 2015. "Predicting the Trend of Taiwan’s Electronic Paper Industry by an Effective Combined Grey Model," Sustainability, MDPI, vol. 7(8), pages 1-20, August.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    18. Quariguasi Frota Neto, J. & Bloemhof-Ruwaard, J.M., 2009. "The Environmental Gains of Remanufacturing: Evidence from the Computer and Mobile Industry," ERIM Report Series Research in Management ERS-2009-024-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Wang, Derek & Li, Shanling & Sueyoshi, Toshiyuki, 2014. "DEA environmental assessment on U.S. Industrial sectors: Investment for improvement in operational and environmental performance to attain corporate sustainability," Energy Economics, Elsevier, vol. 45(C), pages 254-267.
    20. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Santos Arteaga, Francisco J. & Tavana, Madjid & Di Caprio, Debora & Toloo, Mehdi, 2019. "A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution," European Journal of Operational Research, Elsevier, vol. 278(2), pages 448-462.
    2. Victoria Wojcik & Harald Dyckhoff & Marcel Clermont, 2019. "Is data envelopment analysis a suitable tool for performance measurement and benchmarking in non-production contexts?," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 559-595, December.
    3. Chen, Chun-Mei, 2019. "Evaluating the efficiency change and productivity progress of the top global telecom operators since OTT's prevalence," Telecommunications Policy, Elsevier, vol. 43(7), pages 1-1.
    4. Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
    5. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    6. Jiyoung Lee & Gyunghyun Choi, 2019. "A Dominance-Based Network Method for Ranking Efficient Decision-Making Units in Data Envelopment Analysis," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
    7. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.
    8. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    9. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    10. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    11. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    12. Chia-Nan Wang & Jen-Der Day & Nguyen Thi Kim Lien & Luu Quoc Chien, 2018. "Integrating the Additive Seasonal Model and Super-SBM Model to Compute the Efficiency of Port Logistics Companies in Vietnam," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    13. Josef Jablonsky, 2022. "Individual and team efficiency: a case of the National Hockey League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 479-494, June.
    14. Vicente J. Bolós & Rafael Benítez & Vicente Coll-Serrano, 2023. "Continuous models combining slacks-based measures of efficiency and super-efficiency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 363-391, June.
    15. Yung-ho Chiu & Chin-wei Huang & Chung-te Ting, 2012. "A non-radial measure of different systems for Taiwanese tourist hotels’ efficiency assessment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 45-63, March.
    16. Guo, I-Lung & Lee, Hsuan-Shih & Lee, Dan, 2017. "An integrated model for slack-based measure of super-efficiency in additive DEA," Omega, Elsevier, vol. 67(C), pages 160-167.
    17. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    18. Zhen Shi & Huinan Huang & Yingju Wu & Yung-Ho Chiu & Shijiong Qin, 2020. "Climate Change Impacts on Agricultural Production and Crop Disaster Area in China," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    19. Tran, Trung Hieu & Mao, Yong & Nathanail, Paul & Siebers, Peer-Olaf & Robinson, Darren, 2019. "Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis," Omega, Elsevier, vol. 85(C), pages 156-165.
    20. Jradi, Samah & Bouzdine Chameeva, Tatiana & Aparicio, Juan, 2019. "The measurement of revenue inefficiency over time: An additive perspective," Omega, Elsevier, vol. 83(C), pages 167-180.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:218-:d:89467. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.