Abstract
Given the cross-border e-commerce import tariff and random demands, this study establishes a pricing decision model for cross-border e-commerce dual-channel supply chain, which is composed of domestic manufacturers and overseas retailers, so as to analyze the effects of import tariff and random demand on the pricing, demand and profit of cross-border e-commerce. According to the research, import tariffs have a positive correlation with retailers' retail prices and a negative correlation with manufacturers' direct prices, wholesale prices, demand and profit from direct channels, and profit from retail channels. The export tax rebate policy will lessen the negative effects of import tariffs and maximize the best choices made by manufacturers and retailers.
Copyright: © 2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
MeSH terms
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Commerce*
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Costs and Cost Analysis
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Marketing*
Grants and funding
The authors greatly appreciate the anonymous referees and the associate editor for their very valuable and helpful suggestions on an earlier version of the paper. This research is supported by the NSF of China (Grant No. 71962037), Zhu Qinghua Expert Workstation in Yunnan Province (202305AF150028), Humanities and Social Sciences Research Project of Yunnan Provincial Academy and School Education Cooperation(Grant No. SYSX202207), General Project of Yunnan Basic Research Plan(Grant No. 202201AT070035), Yunnan Philosophy and Social Science Planning Project(Grant No. QN2019026), Yunnan Postgraduate Tutor Team Construction Project(Financial Innovation and Risk Management), Yunnan Postgraduate Quality Curriculum Construction Project(Grant No. YH2020-C13), Yunnan Province Professional Degree Postgraduate Teaching Case Database Construction Project(Rural public management), Key Laboratory of Yunnan Provincial Department of Education: Digital Finance Development and Management. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.