IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i6p5164-d1097818.html
   My bibliography  Save this article

FDI and Wellbeing: A Key Node Analysis for Psychological Health in Response to COVID-19 Using Artificial Intelligence

Author

Listed:
  • Da Huo

    (School of International Trade and Economics, Central University of Finance and Economics, No. 39 South College Road, Haidian District, Beijing 100081, China)

  • Jingtao Yi

    (School of Business, Remin University of China, No. 59 Zhongguancun Road, Haidian District, Beijing 100872, China)

  • Xiaotao Zhang

    (School of International Trade and Economics, Central University of Finance and Economics, No. 39 South College Road, Haidian District, Beijing 100081, China)

  • Shuang Meng

    (School of International Trade and Economics, Central University of Finance and Economics, No. 39 South College Road, Haidian District, Beijing 100081, China)

  • Yongchuan Chen

    (School of Art, Sun Yat-Sen University, No. 135 West Xingang Road, Guangzhou 510275, China)

  • Rihui Ouyang

    (China Center of Internet Economics, Central University of Finance and Economics, No. 39 South College Road, Haidian District, Beijing 100081, China)

  • Ken Hung

    (A.R. Sanchez School of Business, Texas A&M International University, 5201 University Boulevard, Laredo, TX 78041, USA)

Abstract

Developing countries are primary destinations for FDI from emerging economies following the World Investment Report 2022, including destinations in OECD countries. Based on three theoretical lenses and case analyses, we argue that Chinese outward FDI has impacts on wellbeing in destination countries, and that this is an important issue for psychological health in response to COVID-19. Based on the super-efficiency DEA approach, our study investigated the impact of Chinese outward FDI on wellbeing in OECD countries. We also applied a Tabu search to identify country groups based on the relationship between Chinese outward FDI and wellbeing and we developed a key node analysis of the country groups using an immune algorithm. This research has implications for public administrators in global governance and could help shape FDI policies to improve psychological health of the destination countries in response to COVID-19.

Suggested Citation

  • Da Huo & Jingtao Yi & Xiaotao Zhang & Shuang Meng & Yongchuan Chen & Rihui Ouyang & Ken Hung, 2023. "FDI and Wellbeing: A Key Node Analysis for Psychological Health in Response to COVID-19 Using Artificial Intelligence," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5164-:d:1097818
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/6/5164/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/6/5164/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yong Yang & Pedro S. Martins & Nigel Driffield, 2013. "Multinational Performance and the Geography of FDI," Management International Review, Springer, vol. 53(6), pages 763-794, December.
    2. Fu, Xiaolan & Helmers, Christian & Zhang, Jing, 2012. "The two faces of foreign management capabilities: FDI and productive efficiency in the UK retail sector," International Business Review, Elsevier, vol. 21(1), pages 71-88.
    3. Yuping P Zeng & Oded Shenkar & Sangcheol Song & Seung-Hyun Lee, 2013. "FDI Experience Location and Subsidiary Mortality," Management International Review, Springer, vol. 53(3), pages 477-509, June.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. Unsal Yetim, 2003. "The Impacts of Individualism/Collectivism, Self-Esteem, and Feeling of Mastery on Life Satisfaction among the Turkish University Students and Academicians," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 61(3), pages 297-317, March.
    6. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    7. Li, Jian & Strange, Roger & Ning, Lutao & Sutherland, Dylan, 2016. "Outward foreign direct investment and domestic innovation performance: Evidence from China," International Business Review, Elsevier, vol. 25(5), pages 1010-1019.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Lea Simms & Katherine E. Ottman & James L. Griffith & Michael G. Knight & Lorenzo Norris & Viktoriya Karakcheyeva & Brandon A. Kohrt, 2023. "Psychosocial Peer Support to Address Mental Health and Burnout of Health Care Workers Affected by COVID-19: A Qualitative Evaluation," IJERPH, MDPI, vol. 20(5), pages 1-18, March.
    10. Igor Filatotchev & Roger Strange & Jenifer Piesse & Yung-Chih Lien, 2007. "FDI by firms from newly industrialised economies in emerging markets: corporate governance, entry mode and location," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 556-572, July.
    11. Huang, Youxing & Zhang, Yan, 2017. "How does outward foreign direct investment enhance firm productivity? A heterogeneous empirical analysis from Chinese manufacturing," China Economic Review, Elsevier, vol. 44(C), pages 1-15.
    12. Kolk, Ans & van Tulder, Rob, 2010. "International business, corporate social responsibility and sustainable development," International Business Review, Elsevier, vol. 19(2), pages 119-125, April.
    13. Dollar, David, 2017. "United States-China two-way direct investment: Opportunities and challenges," Journal of Asian Economics, Elsevier, vol. 50(C), pages 14-26.
    14. Peter J Buckley & L Jeremy Clegg & Adam R Cross & Xin Liu & Hinrich Voss & Ping Zheng, 2007. "The determinants of Chinese outward foreign direct investment," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 499-518, July.
    15. A S Shiralashetti & S S Hugar, 2009. "Foreign Direct Investment and Economic Development of India: A Diagnostic Study," The IUP Journal of Managerial Economics, IUP Publications, vol. 0(1), pages 54-69, February.
    16. Bruce Kogut & Harbir Singh, 1988. "The Effect of National Culture on the Choice of Entry Mode," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 19(3), pages 411-432, September.
    17. Bunyaratavej, Kraiwinee & Hahn, Eugene D. & Doh, Jonathan P., 2008. "Multinational investment and host country development: Location efficiencies for services offshoring," Journal of World Business, Elsevier, vol. 43(2), pages 227-242, March.
    18. L. Jeremy Clegg & Hinrich Voss, 2018. "Chinese Outward FDI as a Stimulus to Research in International Business," Management International Review, Springer, vol. 58(1), pages 1-8, February.
    19. Keith D. Brouthers & Liang Chen & Sali Li & Noman Shaheer, 2022. "Charting new courses to enter foreign markets: Conceptualization, theoretical framework, and research directions on non-traditional entry modes," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(9), pages 2088-2115, December.
    20. Jindra, Björn & Hassan, Sohaib S. & Cantner, Uwe, 2016. "What does location choice reveal about knowledge-seeking strategies of emerging market multinationals in the EU?," International Business Review, Elsevier, vol. 25(1), pages 204-220.
    21. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    22. Karasakal, Esra & Aker, Pınar, 2017. "A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem," Omega, Elsevier, vol. 73(C), pages 79-92.
    23. Nan Zhou & Heli Wang, 2020. "Foreign subsidiary CSR as a buffer against parent firm reputation risk," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(8), pages 1256-1282, October.
    24. Abodohoui, Alexis & Su, Zhan, 2020. "Influence of Chinese managerial soft power on African skills development," International Business Review, Elsevier, vol. 29(5).
    25. Babajide Fowowe & Mohammed Shuaibu, 2014. "Is foreign direct investment good for the poor? New evidence from African countries," Economic Change and Restructuring, Springer, vol. 47(4), pages 321-339, November.
    26. Mina Fazel & Emma Soneson & Elise Sellars & Gillian Butler & Alan Stein, 2023. "Partnerships at the Interface of Education and Mental Health Services: The Utilisation and Acceptability of the Provision of Specialist Liaison and Teacher Skills Training," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    27. Demirbag, Mehmet & McGuinness, Martina & Akin, Ahmet & Bayyurt, Nizamettin & Basti, Eyup, 2016. "The professional service firm (PSF) in a globalised economy: A study of the efficiency of securities firms in an emerging market," International Business Review, Elsevier, vol. 25(5), pages 1089-1102.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dai, Qianzhi & Li, Yongjun & Lei, Xiyang & Wu, Dengsheng, 2021. "A DEA-based incentive approach for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 292(2), pages 675-686.
    2. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    3. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    4. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    5. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    6. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    7. da Silva, Aneirson Francisco & Miranda, Rafael de Carvalho & Marins, Fernando Augusto Silva & Dias, Erica Ximenes, 2024. "A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis," European Journal of Operational Research, Elsevier, vol. 314(1), pages 308-322.
    8. Lin, L.C. & Hong, C.H., 2006. "Operational performance evaluation of international major airports: An application of data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 12(6), pages 342-351.
    9. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    10. Haugland, Sven A. & Myrtveit, Ingunn & Nygaard, Arne, 2007. "Market orientation and performance in the service industry: A data envelopment analysis," Journal of Business Research, Elsevier, vol. 60(11), pages 1191-1197, November.
    11. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
    12. Ruiz, Jose L. & Sirvent, Inmaculada, 2001. "Techniques for the assessment of influence in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 390-399, July.
    13. Pelloneová Natalie, 2023. "Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?," Polish Journal of Sport and Tourism, Sciendo, vol. 30(3), pages 23-28, September.
    14. Alexandr Gedranovich & Mykhaylo Salnykov, 2012. "Productivity analysis of Belarusian higher education system," BEROC Working Paper Series 16, Belarusian Economic Research and Outreach Center (BEROC).
    15. Alexandre Marinho & Simone de Souza Cardoso & Vivian Vicente de Almeida, 2009. "Avaliação da Eficiência Técnica dos Países nos Jogos Olímpicos de Pequim – 2008," Discussion Papers 1394, Instituto de Pesquisa Econômica Aplicada - IPEA.
    16. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Aktas, Emel & Parker, Barnett R., 2011. "The competitiveness of nations and implications for human development," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 16-27, March.
    17. Haixiang Xu & Rui Zhang, 2024. "Dynamic Analysis of Urban Land Use Efficiency in the Western Taiwan Strait Economic Zone," Land, MDPI, vol. 13(8), pages 1-26, August.
    18. Zhu, Joe, 2001. "Super-efficiency and DEA sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 129(2), pages 443-455, March.
    19. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    20. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5164-:d:1097818. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.