A Comparative Study of Cross-Border E-Commerce Green Supply Chains Based on Enhanced G-SCOR: JD.com vs. Amazon
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A Comparative Study of Cross-Border E-Commerce Green Supply Chains Based on Enhanced G-SCOR: JD.com vs. Amazon

Anzi Zhao 1*
1 Tianjin University of Technology
*Corresponding author: 3121083957@qq.com
Published on 14 October 2025
Journal Cover
AEMPS Vol.226
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-80590-345-1
ISBN (Online): 978-1-80590-346-8
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Abstract

Based on existing literature on green supply chains in cross-border e-commerce and relevant data results, this study constructs an improved G-SCOR model that integrates cross-border indicators (such as carbon tariff sensitivity). To scientifically quantify greenness, the research first combines the Analytic Hierarchy Process (AHP) and entropy weight method to determine the weight of indicators, and then establishes a fuzzy comprehensive evaluation model. It applies and validates the model through practical examples from JD.com and Amazon. The results show that Amazon achieves a 90% carbon reduction primarily through sea transportation (accounting for 65%), with AI optimization reducing mileage by 19%, but the packaging recycling rate is only 52%; JD.com's policy-driven recycling rate reaches 74%, and blockchain reduces dispute-related returns by 30%. The model scoring reveals a dual-path differentiation: policy-driven (JD.com) excels in recycling and planning, while market-driven (Amazon) excels in logistics efficiency. The conclusion calls for the establishment of standardized carbon accounting protocols and international EPR mutual recognition to promote cross-border green collaboration.

Keywords:

Cross-border e-commerce, green supply chain, carbon emission reduction, comparative case study, G-SCOR model

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Zhao,A. (2025). A Comparative Study of Cross-Border E-Commerce Green Supply Chains Based on Enhanced G-SCOR: JD.com vs. Amazon. Advances in Economics, Management and Political Sciences,226,57-63.

References

[1]. Xue Mei Xie, Qiwei Zhu. 2022. Innovation Lever or Conservative Shackle: How Does Green Supply Chain Management Practice Leverage Corporate Performance? [J]. Chinese Journal of Management Science, 30(05): 131-143.

[2]. Chunting Wang. 2022. Literature Review on Cross-Border E-Commerce Supply Chain Optimization [J]. China Market, (34): 163-165.

[3]. Zhou Yuling. 2024. Research on Green Supply Chain Construction and Evaluation in Cross-Border E-Commerce [D]. Foshan University of Science and Technology. DOI: 10.27960/d.cnki.gfskj.2024.000053.

[4]. Peng Yifan, Yi Jinyan. 2023. Green Supply Chain Management in a Low-Carbon Economy [J]. Environmental Engineering, 41(04): 259.

[5]. CHEN S, PING J, YAN Z, et al. 2022. Blockchain in energy systems; Values, opportunities, and limitations [J]. Frontiers in Energy, 16(1): 9-18.

[6]. Abbas A, Luo X, Wat too M U, et al. 2022. Corrigendum: Organizational Behavior in Green Supply Chain Integration: Nexus Between Information Technology Capability, Green Innovation, and Organizational Performance [J].Frontiers in Psychology, 13: 874639-8746 39.

[7]. YI M, LIU Y, SHENG M S, et al. 2022. Effects of digital economy on carbon emission reduction: New evidence from Chine [J]. Energy Policy, 171: 113271.

[8]. LINGHU D, WU X, LAIK H, et al. 2022. Implementation strategy and emission reduction effectiveness Journal of Production Economics, 248 108501.

[9]. CAI J, JIANG F. 2023. Decision models of pricing and carbon emission reduction for low-carbon supply chain under cap-and-trade regulation [J]. International Journal of Production Economics, 264: 108964.

[10]. WANG S, LIU L, WEN J, et al. 2024. Product pricing and green decision-making considering consumers multiple preferences under chain-to-chain competition [J]. Kyberbetes, 53(1): 152-187.

[11]. SAHA S, BANASZAK Z, BOCEWICZ G, et al. 2022. Pricing and quality competition for substitutable green products with a common retailer [J].Operational research, 22(4): 3713-3746.

[12]. MA J, HU Y, WANG W.2022. Comparison of competition strategy and retail mode of asymmetric emission reduction in supply chain under cap-and-trade regulation [J].International Journal of Bifurcation and Chaos, 32(05): 2250062.

[13]. KONG J, YANG F. 2021. Green technology licensing under platform selling [J].Journal of Operational Research Society, 73(11): 2451-2464.

References

[1]. Xue Mei Xie, Qiwei Zhu. 2022. Innovation Lever or Conservative Shackle: How Does Green Supply Chain Management Practice Leverage Corporate Performance? [J]. Chinese Journal of Management Science, 30(05): 131-143.

[2]. Chunting Wang. 2022. Literature Review on Cross-Border E-Commerce Supply Chain Optimization [J]. China Market, (34): 163-165.

[3]. Zhou Yuling. 2024. Research on Green Supply Chain Construction and Evaluation in Cross-Border E-Commerce [D]. Foshan University of Science and Technology. DOI: 10.27960/d.cnki.gfskj.2024.000053.

[4]. Peng Yifan, Yi Jinyan. 2023. Green Supply Chain Management in a Low-Carbon Economy [J]. Environmental Engineering, 41(04): 259.

[5]. CHEN S, PING J, YAN Z, et al. 2022. Blockchain in energy systems; Values, opportunities, and limitations [J]. Frontiers in Energy, 16(1): 9-18.

[6]. Abbas A, Luo X, Wat too M U, et al. 2022. Corrigendum: Organizational Behavior in Green Supply Chain Integration: Nexus Between Information Technology Capability, Green Innovation, and Organizational Performance [J].Frontiers in Psychology, 13: 874639-8746 39.

[7]. YI M, LIU Y, SHENG M S, et al. 2022. Effects of digital economy on carbon emission reduction: New evidence from Chine [J]. Energy Policy, 171: 113271.

[8]. LINGHU D, WU X, LAIK H, et al. 2022. Implementation strategy and emission reduction effectiveness Journal of Production Economics, 248 108501.

[9]. CAI J, JIANG F. 2023. Decision models of pricing and carbon emission reduction for low-carbon supply chain under cap-and-trade regulation [J]. International Journal of Production Economics, 264: 108964.

[10]. WANG S, LIU L, WEN J, et al. 2024. Product pricing and green decision-making considering consumers multiple preferences under chain-to-chain competition [J]. Kyberbetes, 53(1): 152-187.

[11]. SAHA S, BANASZAK Z, BOCEWICZ G, et al. 2022. Pricing and quality competition for substitutable green products with a common retailer [J].Operational research, 22(4): 3713-3746.

[12]. MA J, HU Y, WANG W.2022. Comparison of competition strategy and retail mode of asymmetric emission reduction in supply chain under cap-and-trade regulation [J].International Journal of Bifurcation and Chaos, 32(05): 2250062.

[13]. KONG J, YANG F. 2021. Green technology licensing under platform selling [J].Journal of Operational Research Society, 73(11): 2451-2464.

Cite this article

Zhao,A. (2025). A Comparative Study of Cross-Border E-Commerce Green Supply Chains Based on Enhanced G-SCOR: JD.com vs. Amazon. Advances in Economics, Management and Political Sciences,226,57-63.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICEMGD 2025 Symposium: Innovating in Management and Economic Development

ISBN: 978-1-80590-345-1(Print) / 978-1-80590-346-8(Online)
Editor: Florian Marcel Nuţă Nuţă, Ahsan Ali Ashraf
Conference website: https://2025.icemgd.org/Lahore.html
Conference date: 23 September 2025
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.226
ISSN: 2754-1169(Print) / 2754-1177(Online)

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