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Does supply-chain-finance help to improve the efficiency of outward foreign direct investment?

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  • Zheng, Xiaxuan
  • Chen, Yueyan

Abstract

Outward foreign direct investment is an important way to obtain sustainable market value. However, existing studies pay less attention to the efficiency of OFDI, especially the lack of in-depth investigation on the influence mechanism of supply chain finance on OFDI efficiency. Therefore, based on the perspective of synergy theory, this paper using A-share listed companies from 2010 to 2022 as a sample, found supply chain finance improves the efficiency of OFDI; and the degree of synergy positively strengthens this promotion effect. The results of the study provide new perspectives and practical insights for enterprises to improve OFDI efficiency.

Suggested Citation

  • Zheng, Xiaxuan & Chen, Yueyan, 2024. "Does supply-chain-finance help to improve the efficiency of outward foreign direct investment?," Finance Research Letters, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:finlet:v:59:y:2024:i:c:s1544612323010759
    DOI: 10.1016/j.frl.2023.104703
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    References listed on IDEAS

    as
    1. Huang, Yichu & Fan, Yaoyao, 2022. "Risk along the supply chain: Geographic proximity and corporate risk taking," Finance Research Letters, Elsevier, vol. 50(C).
    2. Xiong, Yurong & Wu, Haomin & Ding, Xin & Wu, Ji (George), 2023. "Supplier geographical concentration and corporate innovation," Finance Research Letters, Elsevier, vol. 56(C).
    3. Liu, Yapan & Jin, Ming, 2023. "Does supply chain network centrality affect firm cost stickiness?," Finance Research Letters, Elsevier, vol. 58(PB).
    4. Berger, Theo, 2023. "Explainable artificial intelligence and economic panel data: A study on volatility spillover along the supply chains," Finance Research Letters, Elsevier, vol. 54(C).
    5. Xu, Yanhui, 2023. "Common ownership along supply chain and trade credit: Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).
    6. Feng, Ya & Wen, Junqi, 2023. "Foreign direct investment and employee income share: Firm-level evidence," Finance Research Letters, Elsevier, vol. 55(PA).
    7. Gozgor, Giray & Khalfaoui, Rabeh & Yarovaya, Larisa, 2023. "Global supply chain pressure and commodity markets: Evidence from multiple wavelet and quantile connectedness analyses," Finance Research Letters, Elsevier, vol. 54(C).
    8. Ye, Xiang & Yue, Pengpeng, 2023. "Financial literacy and household energy efficiency: An analysis of credit market and supply chain," Finance Research Letters, Elsevier, vol. 52(C).
    9. Bi, Wenjing & Li, Jiansheng & Xu, Weiyin & Zhang, Xiaotao, 2023. "How corporate rent-seeking affects outward FDI——Empirical evidence based on A-share listed manufacturing companies," Finance Research Letters, Elsevier, vol. 58(PA).
    Full references (including those not matched with items on IDEAS)

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