Risque Pays et Investissement Direct Étranger
Une analyse bibliométrique de la littérature scientifique
DOI:
https://doi.org/10.23882/emss26354Palavras-chave:
Risque pays, Risque souverain, Notation souveraine, Investissement direct étranger, Risque politique, Bibliométrie, VOSviewer, BibliometrixResumo
Cet article propose une analyse bibliométrique approfondie de la littérature scientifique consacrée à la relation entre le risque pays et l’investissement direct étranger (IDE). L’étude couvre les publications indexées dans la base de données Scopus sur la période 1998–2025. La sélection des documents a été réalisée selon le protocole PRISMA, permettant d’identifier un corpus final de 181 publications en langue anglaise. L’objectif principal est de cartographier l’évolution de ce champ de recherche, d’identifier les principaux acteurs scientifiques et de mettre en évidence les thématiques dominantes ainsi que les orientations futures de la recherche. Les résultats montrent une croissance soutenue de la production scientifique, particulièrement à partir de 2010, avec une accélération marquée après 2018. Les États-Unis, la Chine, le Royaume-Uni et l’Afrique du Sud figurent parmi les pays les plus productifs, tandis que des revues telles que International Business Review, Journal of Comparative Economics et Journal of International Business Studies apparaissent comme les sources les plus influentes. L’analyse des auteurs révèle une structure relativement dispersée, caractéristique d’un champ multidisciplinaire mobilisant l’économie internationale, la finance, les affaires internationales et la science politique. Les analyses de co-occurrence des mots-clés, de co-citation et de couplage bibliographique mettent en évidence quatre principaux courants de recherche : (1) les institutions, la gouvernance et le risque politique ; (2) les notations souveraines, le risque de crédit et les marchés financiers ; (3) les stratégies de localisation des entreprises multinationales ; et (4) les déterminants du risque pays dans les économies émergentes. Les thèmes les plus centraux concernent le risque politique, le risque économique, le risque financier, la qualité institutionnelle, les notations souveraines et les flux d’IDE. Cette étude met en évidence le caractère multidimensionnel du risque pays et confirme son rôle central dans les décisions d’investissement international. Elle fournit une cartographie actualisée du domaine et propose plusieurs pistes de recherche futures portant sur les interactions entre risque souverain, qualité institutionnelle et attractivité des investissements directs étrangers.
Referências
Adoum Abdoulaye, M., Waita, S., WabugeWekesa, C., &Mwabora, J. M. (2024). Optimal sizing of an off-grid and grid-connected hybrid photovoltaic-wind system with battery and fuel cell storage system : A techno-economic, environmental, and social assessment. Applied Energy, 365, 123201. https://doi.org/10.1016/j.apenergy.2024.123201
Aria, M., &Cuccurullo, C. (2017). Bibliometrix : An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics, 11(4), 959‑975. https://doi.org/10.1016/j.joi.2017.08.007
Athari, S. A. (2024). Does a country’s sovereign credit rating drive capital inflows into emerging European markets? Evidence from Balkan region. The Economics and Finance Letters, 11(3), 174‑185. https://doi.org/10.18488/29.v11i3.3796
Aziz, O. G. (2018). Institutional quality and FDI inflows in Arab economies. Finance Research Letters, 25, 111‑123. https://doi.org/10.1016/j.frl.2017.10.026
Basile, V., Giacalone, M., &Cozzucoli, P. C. (2022). The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies. Review of European Studies, 14(3), 10. https://doi.org/10.5539/res.v14n3p10
Cai, P., Gan, Q., & Kim, S.-J. (2018). Do sovereign credit ratings matter for foreign direct investments? Journal of International Financial Markets, Institutions and Money, 55, 50‑64. https://doi.org/10.1016/j.intfin.2018.01.003
Cai, P., Kim, S.-J., & Wu, E. (2019). Foreign direct investments from emerging markets : The push-pull effects of sovereign credit ratings. International Review of Financial Analysis, 61, 110‑125. https://doi.org/10.1016/j.irfa.2018.10.006
Chen, C. (2006). CiteSpace II : Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359‑377. https://doi.org/10.1002/asi.20317
Chen, H., Tsang, Y., & Wu, C. (2023). When text mining meets science mapping in the bibliometric analysis : A review and future opportunities. International Journal of Engineering Business Management, 15, 1‑15. https://doi.org/10.1177/18479790231222349
Cippiciani, F. A., Savoia, J. R. F., De Mariz, F., & Bergmann, D. R. (2025). Sustainability practices, corporate value, and financial risk : Is there an academic consensus? A systematic bibliometric review. Journal of Risk and Financial Management, 18(10), 536. https://doi.org/10.3390/jrfm18100536
De Bakker, F. G. A., Groenewegen, P., & Den Hond, F. (2005). A Bibliometric Analysis of 30 Years of Research and Theory on Corporate Social Responsibility and Corporate Social Performance. Business & Society, 44(3), 283‑317. https://doi.org/10.1177/0007650305278086
De, S., Mohapatra, S., &Ratha, D. (2021). Sovereign credit ratings, relative risk ratings and private capital flows : Evidence from emerging and frontier markets. Studies in Economics and Finance, 38(4), 873‑898. https://doi.org/10.1108/SEF-10-2020-0437
Gaillard, N. (2020). Country risk : The bane of foreign investors. Springer International Publishing. https://doi.org/10.1007/978-3-030-45788-4
Garfield, E. (1955). Citation Indexes for Science : A New Dimension in Documentation through Association of Ideas. Science, 122(3159), 108‑111. https://doi.org/10.1126/science.122.3159.108
Gokmenoglu, K., Kirikkaleli, D., &Eren, B. M. (2019). Time and frequency domain causality testing : The causal linkage between FDI and economic risk for the case of Turkey. The Journal of International Trade & Economic Development, 28(6), 649‑667. https://doi.org/10.1080/09638199.2018.1561745
Hassan, M. K., Alshater, M. M., Hasan, R., & Bhuiyan, A. B. (2021). Islamic microfinance : A bibliometric review. Global Finance Journal, 49, 100651. https://doi.org/10.1016/j.gfj.2021.100651
Kamperos, I. D. G., Giannakopoulos, N. T., Kanellos, N., &Sakas, D. P. (2024). Big data and supply chain crisis financial risk management : A bibliometric review. Journal of Infrastructure Policy and Development, 8(9), 6592. https://doi.org/10.24294/jipd.v8i9.6592
Kim, J., & McMillan, S. J. (2008). Evaluation of Internet Advertising Research : A Bibliometric Analysis of Citations from Key Sources. Journal of Advertising, 37(1), 99‑112. https://doi.org/10.2753/JOA0091-3367370108
Korzeb, Z., Niedziółka, P., &Nistor, S. (2023). Sovereign creditworthiness and bank foreign ownership. An empirical investigation of the European banking sector. Journal of International Financial Markets, Institutions and Money, 89, 101857. https://doi.org/10.1016/j.intfin.2023.101857
Koskinen, J., Isohanni, M., Paajala, H., Jääskeläinen, E., Nieminen, P., Koponen, H., Tienari, P., &Miettunen, J. (2008). How to Use Bibliometric Methods in Evaluation of Scientific Research? An Example from Finnish Schizophrenia Research. Nordic Journal of Psychiatry, 62(2), 136‑143. https://doi.org/10.1080/08039480801961667
Le, P., & Nguyen, T. N. (2025). Banking Digital Drifts : What Are the Opportunities for Risk Assessment? In V. Q. Trinh & T. N. Pham (Éds.), The Future of Accounting and Finance (p. 69‑120). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-03943-9_5
MacCoun, R. J. (1998). Biases in the Interpretation and Use of Research Results. Annual Review of Psychology, 49(1), 259‑287. https://doi.org/10.1146/annurev.psych.49.1.259
Mshelia, J. B., & Anchor, J. R. (2019). Political risk assessment by multinational corporations in African markets : A Nigerian perspective. Thunderbird International Business Review, 61(2), 133‑142. https://doi.org/10.1002/tie.21964
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … McKenzie, J. E. (2021). PRISMA 2020 explanation and elaboration : Updated guidance and exemplars for reporting systematic reviews. BMJ, 372(160), 36. https://doi.org/10.1136/bmj.n160
Panetta, I. C., Leo, S., & Delle Foglie, A. (2023). The Development of Digital Payments – Past, Present, and Future – from the Literature. Research in International Business and Finance, 64, 101855. https://doi.org/10.1016/j.ribaf.2022.101855
Ponomariov, B., & Boardman, C. (2016). What is co-authorship? Scientometrics, 109(3), 1939‑1963. https://doi.org/10.1007/s11192-016-2127-7
Pranckutė, R. (2021). Web of Science (WoS) and Scopus : The Titans of Bibliographic Information in Today’s Academic World. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
Simonn, F. C. (2025). Past, present, and future research trajectories on retail investor behaviour : A composite bibliometric analysis and literature review. International Journal of Financial Studies, 13(2), 105. https://doi.org/10.3390/ijfs13020105
Smith, L. C. (1981). Analyse des citations.
Sun, C., & Liu, Y. (2019). Can china’s diplomatic partnership strategy benefit outward foreign direct investment? China & World Economy, 27(5), 108‑134. https://doi.org/10.1111/cwe.12289
Tomczyk, P., Brüggemann, P., & Paul, J. (2024). Variable science mapping as literature review method. Journal of Marketing Analytics, 12(4), 829‑841. https://doi.org/10.1057/s41270-024-00336-9
Van Eck, N. J., & Waltman, L. (2010). Software survey : VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523‑538. https://doi.org/10.1007/s11192-009-0146-3
Van Eck, N. J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer (Version 1). arXiv. https://doi.org/10.48550/ARXIV.1702.03411
Van Eck, N. J., & Waltman, L. (2023, janvier 23). VOSviewer Manual. Leiden University. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.19.pdf
Wagh, A. B., & Vyas, G. S. (2024). Assessment of financial risk associated with integrated project delivery using BIM : A bibliometric review. In M. Nehdi, R. A. Rahman, R. P. Davis, J. Antony, P. E. Kavitha, & S. Jawahar Saud (Éds.), Proceedings of SECON’24 (Vol. 607, p. 1121‑1142). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70431-4_83
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