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Static and Dynamic Evaluation of Financing Efficiency in Enterprises’ Low-Carbon Supply Chain: PCA–DEA–Malmquist Model Method

Author

Listed:
  • Fayu Chen

    (Department of Electronic Business, South China University of Technology, Guangzhou 510006, China)

  • Jinhao Liu

    (School of Business, Central South University, Changsha 410083, China)

  • Xiaoyu Liu

    (School of Shi Cheng, Hunan Normal University, Changsha 410081, China)

  • Hua Zhang

    (Institute of Innovation and Entrepreneurship, Loughborough University London, London E20 3BS, UK)

Abstract

The dual-carbon target brings severe challenges to enterprise financing. Low-carbon supply chain financing has become a key measure by which enterprises break through the financing bottleneck. How to accurately evaluate and optimize the financial efficiency of a low-carbon supply chain is of great significance. We developed a financial behavior scale of the low-carbon supply chain for enterprises and constructed the evaluation index system for financing efficiency of enterprises’ low-carbon supply chain. Based on the qualitative and quantitative data of 205 listed companies, we combine the PCA model with the DEA–Malmquist model to conduct static and dynamic analysis of the financing efficiency of enterprises’ low-carbon supply chain. The results show that the financing efficiency of the culture, sports, and entertainment industries needs to be improved. The pure technical efficiency of information transmission, software, and information technology services is low. The total factor productivity index of water conservancy, environment and public facilities management, and the real estate industry fluctuated significantly. In this regard, enterprises must combine the characteristics of the industry and improve the financing efficiency of the supply chain using low-carbon processes of improvement, selection of low-carbon environmental protection materials, and collaborative supply chain emission reduction to break the financing constraints of enterprises and promote the realization of the national dual-carbon target.

Suggested Citation

  • Fayu Chen & Jinhao Liu & Xiaoyu Liu & Hua Zhang, 2023. "Static and Dynamic Evaluation of Financing Efficiency in Enterprises’ Low-Carbon Supply Chain: PCA–DEA–Malmquist Model Method," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2510-:d:1052040
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    as
    1. Xiaohuan Lyu & Anna Shi, 2018. "Research on the Renewable Energy Industry Financing Efficiency Assessment and Mode Selection," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    2. Kimitaka Nishitani & Katsuhiko Kokubu & Takehisa Kajiwara, 2016. "Does low-carbon supply chain management reduce greenhouse gas emissions more effectively than existing environmental initiatives? An empirical analysis of Japanese manufacturing firms," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 33-60, February.
    3. Gao Xiang Lou & Hai Yang Xia & Jie Qiong Zhang & Ti Jun Fan, 2015. "Investment Strategy of Emission-Reduction Technology in a Supply Chain," Sustainability, MDPI, vol. 7(8), pages 1-25, August.
    4. Song, Hua & Yang, Xuan & Yu, Kangkang, 2020. "How do supply chain network and SMEs’ operational capabilities enhance working capital financing? An integrative signaling view," International Journal of Production Economics, Elsevier, vol. 220(C).
    5. Wuzhao Xue & Hua Li & Rizwan Ali & Ramiz ur Rehman & Gonzalo Fernández-Sánchez, 2021. "Assessing the Static and Dynamic Efficiency of Scientific Research of HEIs China: Three Stage DEA–Malmquist Index Approach," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    6. Xiaojing Liu & Wenyi Du & Yijie Sun, 2020. "Green Supply Chain Decisions Under Different Power Structures: Wholesale Price vs. Revenue Sharing Contract," IJERPH, MDPI, vol. 17(21), pages 1-18, October.
    7. Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    8. Chaorui Huang & Felix T. S. Chan & S. H. Chung, 2022. "Recent contributions to supply chain finance: towards a theoretical and practical research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 60(2), pages 493-516, January.
    9. Jin, Yi & Gao, Xiaoyan & Wang, Min, 2021. "The financing efficiency of listed energy conservation and environmental protection firms: Evidence and implications for green finance in China," Energy Policy, Elsevier, vol. 153(C).
    10. Cao, Erbao & Du, Lingxia & Ruan, Junhu, 2019. "Financing preferences and performance for an emission-dependent supply chain: Supplier vs. bank," International Journal of Production Economics, Elsevier, vol. 208(C), pages 383-399.
    11. Xiaoli Zhang & Guoyi Xiu & Fakhar Shahzad & Caiquan Duan, 2021. "The Impact of Equity Financing on the Performance of Capital-Constrained Supply Chain under Consumers’ Low-Carbon Preference," IJERPH, MDPI, vol. 18(5), pages 1-22, February.
    12. Xuedong Liang & Xianli Zhao & Min Wang & Zhi Li, 2018. "Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    13. Fuyou Li & Hao Di, 2021. "Analysis of the Financing Structure of China’s Listed New Energy Companies under the Goal of Peak CO 2 Emissions and Carbon Neutrality," Energies, MDPI, vol. 14(18), pages 1-15, September.
    14. Marek Giebel & Kornelius Kraft, 2019. "External Financing Constraints and Firm Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 67(1), pages 91-126, March.
    15. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    16. Chen, Kun & Song, Yao-yao & Pan, Jiao-feng & Yang, Guo-liang, 2020. "Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    17. An, Simin & Li, Bo & Song, Dongping & Chen, Xue, 2021. "Green credit financing versus trade credit financing in a supply chain with carbon emission limits," European Journal of Operational Research, Elsevier, vol. 292(1), pages 125-142.
    18. Bikramaditya Ghosh & Spyros Papathanasiou & Vandita Dar & Konstantinos Gravas, 2022. "Bubble in Carbon Credits during COVID-19: Financial Instability or Positive Impact (“Minsky” or “Social”)?," JRFM, MDPI, vol. 15(8), pages 1-16, August.
    19. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    20. Zhifang Zhou & Lingyan Zhang & Li Lin & Huixiang Zeng & Xiaohong Chen, 2020. "Carbon risk management and corporate competitive advantages: “Differential promotion” or “cost hindrance”?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(4), pages 1764-1784, May.
    21. Liang Liang & Feng Yang & Wade Cook & Joe Zhu, 2006. "DEA models for supply chain efficiency evaluation," Annals of Operations Research, Springer, vol. 145(1), pages 35-49, July.
    22. Xianhua Tan & Sanggyun Na & Lei Guo & Jing Chen & Zhihua Ruan, 2019. "External Financing Efficiency of Rural Revitalization Listed Companies in China—Based on Two-Stage DEA and Grey Relational Analysis," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    23. Yuanying Chi & Meng Xiao & Yuexia Pang & Menghan Yang & Yuhao Zheng, 2022. "Financing Efficiency Evaluation and Influencing Factors of Hydrogen Energy Listed Enterprises in China," Energies, MDPI, vol. 15(1), pages 1-16, January.
    24. Wang, Yuyan & Yu, Zhaoqing & Jin, Mingzhou & Mao, Jiafu, 2021. "Decisions and coordination of retailer-led low-carbon supply chain under altruistic preference," European Journal of Operational Research, Elsevier, vol. 293(3), pages 910-925.
    25. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    26. Tseng, Ming-Lang & Wu, Kuo-Jui & Chiu, Anthony SF. & Lim, Ming K. & Tan, Kimhua, 2019. "Reprint of: Service innovation in sustainable product service systems: Improving performance under linguistic preferences," International Journal of Production Economics, Elsevier, vol. 217(C), pages 159-170.
    27. Beatrice Marchi & Simone Zanoni & Ivan Ferretti & Lucio E. Zavanella, 2018. "Stimulating Investments in Energy Efficiency Through Supply Chain Integration," Energies, MDPI, vol. 11(4), pages 1-13, April.
    28. Lei Yang & Yufan Chen & Jingna Ji, 2018. "Cooperation Modes of Operations and Financing in a Low-Carbon Supply Chain," Sustainability, MDPI, vol. 10(3), pages 1-25, March.
    29. Chrisostomos Florackis & Aydin Ozkan, 2009. "The Impact of Managerial Entrenchment on Agency Costs: An Empirical Investigation Using UK Panel Data," European Financial Management, European Financial Management Association, vol. 15(3), pages 497-528, June.
    30. Matthias Klumpp, 2017. "Do Forwarders Improve Sustainability Efficiency? Evidence from a European DEA Malmquist Index Calculation," Sustainability, MDPI, vol. 9(5), pages 1-33, May.
    31. Adel Hatami-Marbini & Siavash Hekmat & Per J. Agrell, 2022. "A strategy-based framework for supplier selection: a grey PCA-DEA approach," Operational Research, Springer, vol. 22(1), pages 263-297, March.
    32. Ge, Ying & Qiu, Jiaping, 2007. "Financial development, bank discrimination and trade credit," Journal of Banking & Finance, Elsevier, vol. 31(2), pages 513-530, February.
    33. Biao Li & Yong Geng & Xiqiang Xia & Dan Qiao, 2021. "The Impact of Government Subsidies on the Low-Carbon Supply Chain Based on Carbon Emission Reduction Level," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    34. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
    35. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, March.
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