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Supply chain concentration, industry concentration and enterprise innovation performance

Author

Listed:
  • Jiang, Mengting
  • Fang, Jian
  • Yang, Yuecheng
  • Yu, Chengzhi
  • Li, Jieyi

Abstract

This paper selects Chinese A-share-listed manufacturing enterprises as a sample from 2012–2022 to empirically analyse the relationship between supply chain concentration and corporate innovation performance. It is found that there is a significant negative correlation between supplier concentration and corporate innovation and a significant positive correlation between customer concentration and corporate innovation; industry concentration enhances the positive impact of customer concentration on corporate innovation performance; compared with state-owned enterprises, the relationship between supply chain concentration and corporate innovation performance is more significant in private enterprises.

Suggested Citation

  • Jiang, Mengting & Fang, Jian & Yang, Yuecheng & Yu, Chengzhi & Li, Jieyi, 2024. "Supply chain concentration, industry concentration and enterprise innovation performance," Finance Research Letters, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:finlet:v:63:y:2024:i:c:s1544612324004240
    DOI: 10.1016/j.frl.2024.105394
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    References listed on IDEAS

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    1. Pan, Jianping & Yu, Manjiao & Liu, Jiayuan & Fan, Rui, 2020. "Customer concentration and corporate innovation: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
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    3. Delgado, Mercedes & Mills, Karen G., 2020. "The supply chain economy: A new industry categorization for understanding innovation in services," Research Policy, Elsevier, vol. 49(8).
    4. Albis, Nadia & Álvarez, Isabel & García, Aura, 2021. "The impact of external, internal, and dual relational embeddedness on the innovation performance of foreign subsidiaries: Evidence from a developing country," Journal of International Management, Elsevier, vol. 27(4).
    5. Yuan, Xiaodong & Li, Xiaotao, 2021. "The evolution of the industrial value chain in China's high-speed rail driven by innovation policies: A patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    6. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Grenoble Ecole de Management (Post-Print) hal-03032504, HAL.
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