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Spatial Peer Effect of Enterprises’ Digital Transformation: Empirical Evidence from Spatial Autoregressive Models

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  • Xiaozhen Pan

    (School of Accounting, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Gengxi Xu

    (School of Accounting, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Nina Zhu

    (School of Accounting, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

This study uses the spatial autoregressive model for panel data to empirically test the spatial peer effect of enterprises’ digital transformation by using a sample of Chinese listed companies during 2012–2021. We find that there is a significant spatial peer effect in the digital transformation of Chinese companies, and the level of digital transformation of a company increase with the level of digital transformation of its spatial peer companies. Moreover, heterogeneity analysis shows that the spatial peer effect of digital transformation can be effectively played only under a higher digital environment, higher marketization environment, and state-owned equity nature of companies. The findings suggest that it should focus on building a benchmark company for digital transformation, vigorously enhance the digital and marketization environment in the region and provide more policy support for the digital transformation of non-state-owned enterprises.

Suggested Citation

  • Xiaozhen Pan & Gengxi Xu & Nina Zhu, 2022. "Spatial Peer Effect of Enterprises’ Digital Transformation: Empirical Evidence from Spatial Autoregressive Models," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12576-:d:932464
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    Cited by:

    1. Xiaoxu Zhang & Xinyu Du, 2023. "Industry and Regional Peer Effects in Corporate Digital Transformation: The Moderating Effects of TMT Characteristics," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    2. Yu Ma & Pan Tao, 2023. "A Perspective on Management Myopia: The Impact of Digital Transformation on Carbon Emission Intensity," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    3. Hui Zhao & Ao Lei & Yuhui Li & Dingjun Hong, 2023. "The Sectoral and Regional Peer Influences on Heavy-Pollution Corporate Environmental, Social, and Governance Performance," Sustainability, MDPI, vol. 15(17), pages 1-42, August.
    4. Na Li & Ziyang Liu & Xi Zhang, 2022. "A Study on the Impact of Dynamic Visitor Demand on the Digital Transformation of Enterprises—Considerations Based on the Regional Innovation Environment and the Level of Big Data," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    5. Zhang, Kesen & Pan, Zhen & Zhang, Keming & Ji, Feng, 2023. "The effect of digitalization transformation on greenwashing of Chinese listed companies: an analysis from the dual perspectives of resource-based view and legitimacy," LSE Research Online Documents on Economics 125707, London School of Economics and Political Science, LSE Library.

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