考虑滞后效应和吸收能力的电商供应链低碳发展策略研究
Research on Low-Carbon Development Strategies of E-Commerce Supply Chain Considering Lag Effect and Absorptive Capacity
摘要: 在“双碳”目标背景下,减排研发已成为电商平台推动低碳转型的关键途径。本文构建包含供应商、低碳型电商平台与传统型电商平台的供应链结构,基于纵向、横向、双向三种吸收方向,构建微分博弈模型,研究不同情形下滞后效应和吸收能力对电商平台低碳发展策略的影响。研究发现:1) 纵向吸收下,低碳平台的研发投入随滞后时间增加而上升,受供应商吸收能力正向影响;传统平台的研发投入则受吸收能力调节,且与低碳竞争强度相关,当低碳竞争强度较低时,传统制造商的研发努力投入与供应商的吸收能力呈正相关,反之则负相关。2) 横向与双向吸收下,传统平台吸收能力在特定阈值内时,低碳平台研发随滞后时间增加而增强,超出阈值则受抑制,且其研发努力整体上受传统平台吸收能力负向影响;3) 双向情形下,当低碳竞争强度在特定阈值内时,传统平台的研发努力投入与供应商的吸收能力呈正相关,超出阈值时,供应商的吸收能力会抑制其研发努力。本文旨在为电商平台制定低碳发展策略和技术扩散路径提供决策参考,也为政府制定差异化减排激励政策、构建低碳协同创新生态体系提供理论依据。
Abstract: Under the background of the “dual carbon” goals, emission reduction R&D has become a key approach for e-commerce platforms to promote low-carbon transformation. This paper constructs a supply chain structure consisting of a supplier, a low-carbon e-commerce platform, and a traditional e-commerce platform. Based on three technology absorption directions—vertical, horizontal, and bidirectional—we develop a differential game model to examine how lag effects and absorptive capacity influence low-carbon development strategies of e-commerce platforms under different scenarios. The results show that: 1) Under vertical absorption, the low-carbon platform’s R&D efforts increase with longer lag time and are positively influenced by the supplier’s absorptive capacity. The traditional platform’s R&D input is regulated by the supplier’s absorptive capacity and varies with the intensity of low-carbon competition. When competition is weak, the traditional platform’s R&D effort is positively correlated with the supplier’s absorptive capacity, and negatively correlated when competition is strong. 2) Under horizontal and bidirectional absorption, the low-carbon platform’s R&D increases with lag time only when the traditional platform’s absorptive capacity remains within a certain threshold; exceeding this threshold suppresses its R&D efforts. In general, the low-carbon platform’s R&D is negatively affected by the traditional platform’s absorptive capacity. 3) In the bidirectional case, the traditional platform’s R&D effort is positively related to the supplier’s absorptive capacity when the low-carbon competition intensity is within a specific range, but this relationship becomes negative once the intensity exceeds the threshold. This study aims to provide decision-making references for e-commerce platforms in formulating low-carbon strategies and technology diffusion paths, and offers theoretical guidance for policymakers to design differentiated emission reduction incentives and build a collaborative low-carbon innovation ecosystem.
文章引用:施溢婷. 考虑滞后效应和吸收能力的电商供应链低碳发展策略研究[J]. 电子商务评论, 2025, 14(6): 2314-2327. https://doi.org/10.12677/ecl.2025.1461993

参考文献

[1] Liu, Q. and Zhu, X. (2023) Carbon Reduction Decisions in Green Technology Collaborative R&D and Spillover Time Lag Effects. Journal of Cleaner Production, 429, Article 139595. [Google Scholar] [CrossRef
[2] 李金溪, 易余胤. 考虑溢出效应的双寡头绿色研发时机选择[J/OL]. 系统管理学报, 2024: 1-20.
http://kns.cnki.net/kcms/detail/31.1977.N.20241008.1659.002.html, 2024-12-28.
[3] 刘名武, 吴开兰, 许茂增. 面向消费者低碳偏好的供应链减排成本分摊与协调[J]. 工业工程与管理, 2016, 21(4): 50-57.
[4] 李友东, 谢鑫鹏. 考虑消费者低碳偏好的供应链企业减排成本分摊比较研究[J]. 运筹与管理, 2017, 26(10): 65-73.
[5] 梁喜, 张余婷. 基于消费者偏好的低碳双渠道供应链定价与减排策略[J]. 运筹与管理, 2020, 29(12): 107-117.
[6] Zhao, J., Zhang, R., Wang, Z. and Cui, S. (2024) Low-Carbon Supply Chain Decision-Making and CSR Strategy Evolution Analysis Considering Heterogeneous Consumer Preferences. Systems, 12, Article 283. [Google Scholar] [CrossRef
[7] Wu, P., Yin, Y., Li, S. and Huang, Y. (2018) Low-Carbon Supply Chain Management Considering Free Emission Allowance and Abatement Cost Sharing. Sustainability, 10, Article 2110. [Google Scholar] [CrossRef
[8] Yu, B., Wang, J., Lu, X. and Yang, H. (2020) Collaboration in a Low-Carbon Supply Chain with Reference Emission and Cost Learning Effects: Cost Sharing versus Revenue Sharing Strategies. Journal of Cleaner Production, 250, Article 119460. [Google Scholar] [CrossRef
[9] 王道平, 常敬雅, 郝玫. 碳交易政策下基于技术投资的供应链纵向合作动态减排研究[J]. 控制与决策, 2024, 39(5): 1654-1664.
[10] 刘丽, 张再生, 王哲. 基于双边匹配-动态博弈的碳减排技术投资决策[J]. 运筹与管理, 2020, 29(8): 20-26.
[11] 魏守道. 碳交易政策下供应链减排研发的微分博弈研究[J]. 管理学报, 2018, 15(5): 782-790.
[12] 王玉燕, 梁佳平, 申亮, 等. 电商平台公平关切下低碳E-CLSC的决策研究[J]. 中国管理科学, 2021, 29(4): 115-125.
[13] Cohen, W.M. and Levinthal, D.A. (1990) Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, 35, 128-152. [Google Scholar] [CrossRef
[14] 杨仕辉, 熊艳, 王红玲. 吸收能力、研发合作创新激励与补贴政策[J]. 中国管理科学, 2003(1): 95-100.
[15] 秦玮, 徐飞, 宋波. 研发联盟合作伙伴行为演化博弈分析——吸收能力的视角[J]. 工业工程与管理, 2011, 16(6): 16-20.
[16] 张军果, 任浩. 吸收能力与竞争企业研发投资及方式选择[J]. 系统工程, 2007(4): 64-68.
[17] 夏晶, 牛文举. 考虑非对称溢出效应的竞争企业研发投资[J]. 科研管理, 2022, 43(2): 108-117.
[18] 游达明, 朱桂菊. 低碳供应链生态研发, 合作促销与定价的微分博弈分析[J]. 控制与决策, 2016, 31(6): 1047-1056.
[19] 陈东彦, 黄春丽. 滞后效应影响下低碳供应链减排投入与零售定价[J]. 控制与决策, 2018, 33(9): 1686-1692.