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The Risk Monitoring of the Financial Ecological Environment in Chinese Outward Foreign Direct Investment Based on a Complex Network

Author

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  • Jian Min

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Jiaojiao Zhu

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Jian-Bo Yang

    (Alliance Manchester Business School, The University of Manchester, Manchester M15 6PB, UK)

Abstract

Aiming at the risk problem of financial ecological environment in outward foreign direct investment (OFDI), this paper constructs a risk monitoring model of the financial ecological environment based on complex network theory, and analyzes the general laws of financial risk evolution in Chinese OFDI by using data from 2008 to 2017 in 20 countries. First, the key risk factors are found through centrality analysis, then the correlation between risk indicators is obtained by cohesive subgroup analysis. Finally, we calculate network density, clustering coefficient and global efficiency to explore the time-spatial laws of the financial risk evolution in OFDI are obtained. At the same time, Kruskal’s algorithm is used to generate the minimum spanning tree (MST), and the change trend of risk transmission path is obtained. The results show that the following four risk indicators: M2/GDP, foreign exchange reserve, stock exchange turnover rate, total government debt as a percentage of GDP play an important role in the whole risk network and are the key nodes of risk evolution. The internal financial risks in Pakistan, the United States, Israel and Poland are more complex and highly transmissible. The risk transmission path based on MST shows that Australia and Bulgaria play an important role in risk transmission, and the length of risk transmission path has an overall upward trend. The conclusions of this study have guiding significance for overseas investment companies to prevent investment risks and ensure their sustainable development overseas.

Suggested Citation

  • Jian Min & Jiaojiao Zhu & Jian-Bo Yang, 2020. "The Risk Monitoring of the Financial Ecological Environment in Chinese Outward Foreign Direct Investment Based on a Complex Network," Sustainability, MDPI, vol. 12(22), pages 1-26, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9456-:d:444589
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    as
    1. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    2. Jinhee Kim & Soora Rasouli & Harry J. P. Timmermans, 2018. "Social networks, social influence and activity-travel behaviour: a review of models and empirical evidence," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 499-523, July.
    3. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    4. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    5. Kumar, Mohan & Moorthy, Uma & Perraudin, William, 2003. "Predicting emerging market currency crashes," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 427-454, September.
    6. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    7. Kazunobu Hayakawa & Fukunari Kimura & Hyun-Hoon Lee, 2013. "How Does Country Risk Matter for Foreign Direct Investment?," The Developing Economies, Institute of Developing Economies, vol. 51(1), pages 60-78, March.
    8. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    9. Egger, Peter & Winner, Hannes, 2006. "How Corruption Influences Foreign Direct Investment: A Panel Data Study," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 459-486, January.
    10. Zhang, Jianhua & Wang, Shuliang & Wang, Xiaoyuan, 2018. "Comparison analysis on vulnerability of metro networks based on complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 72-78.
    11. Gai, Prasanna & Kapadia, Sujit, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
    12. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
    13. Jeffrey D. Sachs & Aaron Tornell & Andrés Velasco, 1996. "Financial Crises in Emerging Markets: The Lessons from 1995," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1), pages 147-216.
    14. Emmanouil N. Karimalis & Nikos K. Nomikos, 2018. "Measuring systemic risk in the European banking sector: a copula CoVaR approach," The European Journal of Finance, Taylor & Francis Journals, vol. 24(11), pages 944-975, July.
    15. Christian Brownlees & Robert F. Engle, 2017. "SRISK: A Conditional Capital Shortfall Measure of Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
    16. Oet, Mikhail V. & Bianco, Timothy & Gramlich, Dieter & Ong, Stephen J., 2013. "SAFE: An early warning system for systemic banking risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4510-4533.
    17. Dastkhan, Hossein & Gharneh, Naser Shams, 2018. "How the ownership structures cause epidemics in financial markets: A network-based simulation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 324-342.
    18. Takagi, Shinji & Shi, Zongying, 2011. "Exchange rate movements and foreign direct investment (FDI): Japanese investment in Asia, 1987–2008," Japan and the World Economy, Elsevier, vol. 23(4), pages 265-272.
    19. Alfaro, Laura & Chanda, Areendam & Kalemli-Ozcan, Sebnem & Sayek, Selin, 2004. "FDI and economic growth: the role of local financial markets," Journal of International Economics, Elsevier, vol. 64(1), pages 89-112, October.
    20. Sobczyk, Eugeniusz J. & Kicki, Jerzy & Sobczyk, Wiktoria & Szuwarzyński, Marek, 2017. "Support of mining investment choice decisions with the use of multi-criteria method," Resources Policy, Elsevier, vol. 51(C), pages 94-99.
    21. Fioramanti, Marco, 2008. "Predicting sovereign debt crises using artificial neural networks: A comparative approach," Journal of Financial Stability, Elsevier, vol. 4(2), pages 149-164, June.
    22. Alon, Ilan & Herbert, Theodore T., 2009. "A stranger in a strange land: Micro political risk and the multinational firm," Business Horizons, Elsevier, vol. 52(2), pages 127-137.
    23. Harris, Robert S & Ravenscraft, David, 1991. "The Role of Acquisitions in Foreign Direct Investment: Evidence from the U.S. Stock Market," Journal of Finance, American Finance Association, vol. 46(3), pages 825-844, July.
    24. Nikola Tarashev & Claudio Borio & Kostas Tsatsaronis, 2009. "The systemic importance of financial institutions," BIS Quarterly Review, Bank for International Settlements, September.
    25. Goldberg, Linda S & Kolstad, Charles D, 1995. "Foreign Direct Investment, Exchange Rate Variability and Demand Uncertainty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(4), pages 855-873, November.
    26. Kiymaz, Halil, 2009. "The impact of country risk ratings on U.S. firms in large cross-border acquisitions," Global Finance Journal, Elsevier, vol. 20(3), pages 235-247.
    27. Chin-Tsai Lin & Meng-Chuan Tsai, 2010. "Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(2), pages 375-390, February.
    28. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    29. Thomas, Douglas E. & Grosse, Robert, 2001. "Country-of-origin determinants of foreign direct investment in an emerging market: the case of Mexico," Journal of International Management, Elsevier, vol. 7(1), pages 59-79.
    30. Christian Schmidt & Udo Broll, 2009. "Real exchange-rate uncertainty and US foreign direct investment: an empirical analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(3), pages 513-530, October.
    31. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    32. Izzet Sidki Darendeli & T L Hill, 2016. "Uncovering the complex relationships between political risk and MNE firm legitimacy: Insights from Libya," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 47(1), pages 68-92, January.
    33. Kent D Miller, 1992. "A Framework for Integrated Risk Management in International Business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 23(2), pages 311-331, June.
    34. Gandy, Axel & Veraart, Luitgard A. M., 2017. "A Bayesian methodology for systemic risk assessment in financial networks," LSE Research Online Documents on Economics 66312, London School of Economics and Political Science, LSE Library.
    35. Liu, Nairong & An, Haizhong & Gao, Xiangyun & Li, Huajiao & Hao, Xiaoqing, 2016. "Breaking news dissemination in the media via propagation behavior based on complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 44-54.
    36. Steven Globerman & Daniel M Shapiro, 1999. "The Impact of Government Policies on Foreign Direct Investment: The Canadian Experience," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 30(3), pages 513-532, September.
    37. Axel Gandy & Luitgard A. M. Veraart, 2017. "A Bayesian Methodology for Systemic Risk Assessment in Financial Networks," Management Science, INFORMS, vol. 63(12), pages 4428-4446, December.
    38. Xiaming Liu & Haiyan Song & Yingqi Wei & Peter Romilly, 1997. "Country characteristics and foreign direct investment in China: A panel data analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(2), pages 313-329, June.
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