Vol. 1 No. 3 (2026): Sustainable Management Review
Articles

How Sustainable Supply Chain Operation Management Enhances Enterprise Perceived Low-Carbon Development Efficiency: Evidence from Manufacturing Enterprises

PDF
Dong Guo
SEGi University
Wei Yet Tan
SEGi University
DOI: https://doi.org/10.70693/smr.v1i3.18

Published 2026-05-27

Keywords

  • Sustainable supply chain operation management,
  • low-carbon development efficiency,
  • green procurement,
  • green production,
  • structural equation modelling

How to Cite

Guo, D., & Tan, W. Y. (2026). How Sustainable Supply Chain Operation Management Enhances Enterprise Perceived Low-Carbon Development Efficiency: Evidence from Manufacturing Enterprises. Sustainable Management Review, 1(3), 8–18. https://doi.org/10.70693/smr.v1i3.18

Copyright (c) 2026 Dong Guo, Wei Yet Tan

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This study examines how sustainable supply chain operation management enhances enterprise perceived low-carbon development efficiency in manufacturing enterprises. A quantitative survey design was adopted. Data were collected from 384 respondents, including supply chain managers, production managers, operations managers, logistics managers, ESG or environmental officers, and senior administrative staff. Structural equation modelling was used to test the effects of five supply chain operation practices on four low-carbon development outcomes. The results show that green procurement, green production, green logistics, supply chain collaboration, and green information sharing positively predict enterprise perceived low-carbon development efficiency. Green production shows the strongest effect on carbon reduction efficiency, while supply chain collaboration and green information sharing are particularly important for low-carbon competitive performance. This study extends sustainable supply chain management research by examining multiple operational dimensions and multiple low-carbon efficiency outcomes simultaneously.

PDF

References

  1. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
  2. Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. https://doi.org/10.1177/002224377901600110
  3. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  4. Gao, D., Mo, X., Xiong, R., & Huang, Z. (2022). Tax Policy and Total Factor Carbon Emission Efficiency: Evidence from China's VAT Reform. International journal of environmental research and public health, 19(15), 9257. https://doi.org/10.3390/ijerph19159257
  5. Golicic, S. L., & Smith, C. D. (2013). A meta-analysis of environmentally sustainable supply chain management practices and firm performance. Journal of Supply Chain Management, 49(2), 78–95. https://doi.org/10.1111/jscm.12006
  6. Green, K. W., Zelbst, P. J., Meacham, J., & Bhadauria, V. S. (2012). Green supply chain management practices: Impact on performance. Supply Chain Management: An International Journal, 17(3), 290–305. https://doi.org/10.1108/13598541211227126
  7. Gupta, P., Sharma, Y., Chauhan, A., Parewa, B., Rai, P., & Naik, N. (2025). Investigation of green supply chain management practices and sustainability in Indian manufacturing enterprises using a structural equation modelling approach. Scientific reports, 15(1), 14909. https://doi.org/10.1038/s41598-025-95940-9
  8. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  9. Karaman, A. S., Kilic, M., & Uyar, A. (2020). Green logistics performance and sustainability reporting practices of the logistics sector: The moderating effect of corporate governance. Journal of Cleaner Production, 258, Article 120718. https://doi.org/10.1016/j.jclepro.2020.120718
  10. Liu, Z., Huang, N., Hu, B., Sun, W., Shi, L., Zhao, Y., & Han, C. (2024). Cross-border supply chain coordination of low-carbon agricultural products under the risk of supply uncertainty. PloS one, 19(10), e0309763. https://doi.org/10.1371/journal.pone.0309763
  11. Lu, Y., & Liao, Z. (2025). The influence of AI application on carbon emission intensity of industrial enterprises in China. Scientific reports, 15(1), 12585. https://doi.org/10.1038/s41598-025-97110-3
  12. Meacham, J., Toms, L., Green, K. W., Jr., & Bhadauria, V. S. (2013). Impact of information sharing and green information systems. Management Research Review, 36(5), 478–494. https://doi.org/10.1108/01409171311327244
  13. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  14. Qu, G., Zhang, Y., Tan, K., Han, J., & Qu, W. (2022). Exploring Knowledge Domain and Emerging Trends in Climate Change and Environmental Audit: A Scientometric Review. International journal of environmental research and public health, 19(7), 4142. https://doi.org/10.3390/ijerph19074142
  15. Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710. https://doi.org/10.1016/j.jclepro.2008.04.020
  16. Sánchez-García, E., Martínez-Falcó, J., Marco-Lajara, B., & Sloniec, J. (2025). Unveiling key drivers of green operational efficiency. Journal of the science of food and agriculture, 105(14), 8233–8244. https://doi.org/10.1002/jsfa.70068
  17. Vachon, S., & Klassen, R. D. (2008). Environmental management and manufacturing performance: The role of collaboration in the supply chain. International Journal of Production Economics, 111(2), 299–315. https://doi.org/10.1016/j.ijpe.2006.11.030
  18. Wang, J., Zhu, L., Feng, L., & Feng, J. (2023). A meta-analysis of sustainable supply chain management and firm performance: Some new findings on sustainable supply chain management. Sustainable Production and Consumption, 38, 312–330. https://doi.org/10.1016/j.spc.2023.04.015
  19. Zhu, Q., & Sarkis, J. (2004). Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of Operations Management, 22(3), 265–289. https://doi.org/10.1016/j.jom.2004.01.005

Similar Articles

You may also start an advanced similarity search for this article.