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A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications

Author

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  • Lili Pan

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Lin Wang

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 201620, China)

  • Qianqian Feng

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

Aiming to identify the intellectual structure of risk management in foreign direct investment and its evolving trends, this paper introduces bibliometric analysis to systematically review the 1231 articles published between 1995 and 2022. Through the analysis of publication trends, influential indicators, cooperative networks, and citations, we draw the following important conclusions. From 1995 to 2021, the average annual growth rate of scientific production in the field reached 21.4%, with scholars from the United States and China contributing the most. Regarding the cooperation network, its structure is relatively dispersed, and the deep cooperation among a wide range of researchers has not yet been formed. As for research topics, the popularity of interest in environmental protection, carbon dioxide emissions, energy consumption, and climate change has increased significantly in recent years. Moreover, this paper points out that future research directions include new risks and challenges posed by the COVID-19 pandemic and the effects of climate risks on foreign direct investment. These results are helpful for scholars to systematically understand the current research status, research frontiers, and future trends of risk management in foreign direct investment.

Suggested Citation

  • Lili Pan & Lin Wang & Qianqian Feng, 2022. "A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7078-:d:835029
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    References listed on IDEAS

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    Cited by:

    1. Feng Wu & Yue Tang & Chaoran Lin & Yanwei Zhang & Wanqiang Xu, 2022. "Knowledge Trajectories Detection and Prediction of Modern Emergency Management in China Based on Topic Mining from Massive Literature Text," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    2. Tiberiu Iancu & Valentina Constanta Tudor & Eduard Alexandru Dumitru & Cristina Maria Sterie & Marius Mihai Micu & Dragos Smedescu & Liviu Marcuta & Elena Tonea & Paula Stoicea & Catalin Vintu & Andy , 2022. "A Scientometric Analysis of Climate Change Adaptation Studies," Sustainability, MDPI, vol. 14(19), pages 1-20, October.

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