This study examines trade credit strategy in a supply chain framework including one manufacturer and two competitive retailers under a Cournot game setting. We consider three supply chain models depending on how many retailers have capital constraints: (i) Model NN (i.e., none of the retailers has capital constraints); (ii) model AN (i.e., a single retailer has capital constraint); and (iii) model AA (i.e., dual retailers have capital constraints). We analyze equilibrium strategies of supply chain under three models, and show that the manufacturer sets a higher price for a capital-constrained retailer than that for a fund-abundant retailer. Notably, the fund-abundant retailer's wholesale price is not dependent on its rival's capital status. Certain numerical experiments have been performed to show the impact of retailer's competition, market disturbance, and production cost on trade credit financing strategy. Findings reveal that by increasing the horizontal competition intensity, the capital-constrained retailer benefits more from trade credit. With a higher market disturbance or a higher production cost, the manufacturer is more willing to offer trade credit to capital-constrained retailers.
机构:
Hong Kong Polytech Univ, Fac Business, Kowloon, Hong Kong, Peoples R ChinaShenzhen Univ, Coll Econ, Dept Transportat Econ & Logist Management, Shenzhen 518060, Guangdong, Peoples R China
Wang, Yulan
Chen, Ying-Ju
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Univ Sci & Technol, Sch Business & Management, Dept ISOM, Kowloon, Hong Kong, Peoples R China
Hong Kong Univ Sci & Technol, Dept IEDA, Sch Engn, Kowloon, Hong Kong, Peoples R ChinaShenzhen Univ, Coll Econ, Dept Transportat Econ & Logist Management, Shenzhen 518060, Guangdong, Peoples R China
机构:
China Univ Polit Sci & Law, Business Sch, Beijing 100088, Peoples R ChinaHarbin Inst Technol, Sch Econ & Management, Harbin 150001, Peoples R China
机构:
S China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R ChinaS China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
Chen, Jianxin
[J].
INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES (ICCIS 2014),
2014,
: 877
-
882