International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1710678

1710678 Vol 9 · Issue 3 Download Paper

Tariff Exposure On the Financial Performance of Firms Across Different Industries

Onoriode Enaigbe

Subject area: Management and Commerce  ·  Area of research: Finance

DOI: 10.64388/IREV9I3-1710678-4188

Abstract

This study examines the impact of tariff exposure on the financial performance of firms across different industries, with a comparative lens on public and private companies. The analysis is situated within the context of growing global protectionism and trade policy uncertainty, which have imposed new challenges on corporate cost structures and supply chain strategies. Drawing on secondary data from the period 2020 to 2024, the study employs a quantitative cross-sectional design to evaluate financial indicators such as return on assets (ROA), return on equity (ROE), revenue growth, and operating margins. The findings reveal that technology firms are generally more resilient to tariff shocks, while manufacturing and agriculture sectors show greater financial vulnerability. Public companies consistently outperform private ones, benefiting from broader access to capital, diversified operations, and more robust risk management capabilities. Strategic responses such as supply chain diversification, localized production, and financial hedging were found to mitigate the adverse effects of tariff exposure. The study contributes to the understanding of how firms navigate tariff-induced risks and offers practical insights for policymakers, corporate leaders, and investors aiming to strengthen operational resilience in an increasingly volatile trade environment.

Keywords

Tariff Exposure, Financial Performance, Public Vs. Private Firms, Trade Policy, Supply Chain Strategy, Trade Risk Management.

References

[1] Ackah, C., Aryeetey, E., & Morrissey, O. (2012). Tariffs and total factor productivity: The case of Ghanaian manufacturing firms. Modern Economy, 3(3), 352–361. https://doi.org/10.4236/me.2012.33037

[2] Alessandria, G., Kaboski, J. P., & Midrigan, V. (2021). The aggregate effects of tariffs on US manufacturing: Micro evidence from matched producer–product data. American Economic Review, 111(1), 322–362. https://doi.org/10.1257/aer.20181280

[3] Amiti, M., Redding, S. J., & Weinstein, D. E. (2019). The impact of the 2018 trade war on US prices and welfare. Journal of Economic Perspectives, 33(4), 187–210. https://doi.org/10.1257/jep.33.4.187

[4] Arend, R. J., & Bromiley, P. (2009). Assessing the dynamic capabilities view: Spare change, everyone? Strategic Organization, 7(1), 75–90. https://doi.org/10.1177/1476127008100132

[5] Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

[6] Boz, E., Gopinath, G., & Plagborg-Møller, M. (2022). Global trade and inflation under trade policy uncertainty. IMF Economic Review, 70(3), 315–345. https://doi.org/10.1057/s41308-022-00159-5

[7] Bown, C. P. (2019). The 2018 US-China trade conflict after forty years of special protection. Peterson Institute for International Economics Working Paper No. 19-5. https://doi.org/10.2139/ssrn.3362256

[8] Bräuning, F., Fillat, J., & Joaquim, G. (2021). Trade policy uncertainty and the structure of global supply chains. Federal Reserve Bank of Boston. https://doi.org/10.2139/ssrn.3745246

[9] Brigham, E. F., & Daves, P. R. (2020). Intermediate financial management (13th ed.). Cengage Learning.

[10] Caldara, D., Iacoviello, M., Molligo, P., Prestipino, A., & Raffo, A. (2020). The economic effects of trade policy uncertainty. Journal of Monetary Economics, 109, 38–59. https://doi.org/10.1016/j.jmoneco.2019.11.001

[11] Chen, H., Lu, Y., & Huang, H. (2025). Study on the impact of trade policy uncertainty on the performance of enterprise ESG performance. arXiv preprint. https://arxiv.org/abs/2502.01640

[12] Cravino, J., & Levchenko, A. A. (2017). Multinational firms and international business cycle transmission. Quarterly Journal of Economics, 132(2), 921–962. https://doi.org/10.1093/qje/qjx003

[13] Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

[14] Donaldson, L. (2001). The contingency theory of organizations. Sage Publications.

[15] Du, X., & Shi, X. (2024). Import competition and domestic vertical integration: Theory and evidence from Chinese firms. arXiv preprint. https://arxiv.org/abs/2408.13706

[16] Fajgelbaum, P. D., Goldberg, P. K., Kennedy, P. J., & Khandelwal, A. K. (2020). The return to protectionism. The Quarterly Journal of Economics, 135(1), 1–55. https://doi.org/10.1093/qje/qjz036

[17] Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.

[18] Flaaen, A., & Pierce, J. R. (2019). Disentangling the effects of the 2018–2019 tariffs on a globally connected US manufacturing sector. Finance and Economics Discussion Series. https://doi.org/10.17016/FEDS.2019.086

[19] Furceri, D., Hannan, S. A., Ostry, J. D., & Rose, A. K. (2019). Macroeconomic consequences of tariffs. IMF Economic Review, 67(3), 448–486. https://doi.org/10.1057/s41308-019-00063-0

[20] Gopinath, G., Boz, E., Casas, C., Diez, F. J., Gourinchas, P. O., & Plagborg-Møller, M. (2022). Supply chains and trade policy. Journal of International Economics, 136, 103594. https://doi.org/10.1016/j.jinteco.2022.103594

[21] Gormley, T. A., Matsa, D. A., & Milbourn, T. T. (2020). CEO compensation and corporate risk: Evidence from a natural experiment. Journal of Financial Economics, 137(3), 712–740. https://doi.org/10.1016/j.jfineco.2020.04.003

[22] Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2020). Multivariate data analysis (8th ed.). Cengage Learning.

[23] Handley, K., & Limão, N. (2017). Policy uncertainty, trade, and investment. Review of Economics and Statistics, 99(4), 660–677. https://doi.org/10.1162/REST_a_00640

[24] Handley, K., & Limão, N. (2020). Policy uncertainty, trade, and welfare: Theory and evidence for China and the United States. American Economic Review, 110(10), 3034–3073. https://doi.org/10.1257/aer.20190171

[25] Johnston, M. P. (2017). Secondary data analysis: A method of which the time has come. Qualitative and Quantitative Methods in Libraries (QQML), 3(3), 619–626.

[26] Kim, I. S. (2021). Firms and the political economy of trade: Lobbying for tariffs in the U.S. International Organization, 75(2), 357–390. https://doi.org/10.1017/S0020818320000393

[27] Krugman, P. R., Obstfeld, M., & Melitz, M. J. (2018). International economics: Theory and policy (11th ed.). Pearson.

[28] Li, N., Lincoln, W. F., & McCallum, A. H. (2021). Firm responses to US trade policy: Evidence from the US-China trade war. NBER Working Paper No. 29315. https://doi.org/10.3386/w29315

[29] Miroudot, S. (2020). Resilience versus robustness in global value chains: Some policy implications. OECD Policy Responses to Coronavirus (COVID-19). https://www.oecd.org/coronavirus/policy-responses

[30] OECD. (2020a). SMEs in a globalized world. https://www.oecd.org

[31] OECD. (2020b). Trade policy implications for SMEs: Resilience and strategies in a tariff-affected world. https://www.oecd.org/industry/smes

[32] Peng, M. W., Wang, D. Y. L., & Jiang, Y. (2008). An institution-based view of international business strategy: A focus on emerging economies. Journal of International Business Studies, 39(5), 920–936. https://doi.org/10.1057/palgrave.jibs.8400377

[33] RapidRatings. (2025). Stress testing the impact of tariffs, navigating volatility, and more. https://www.rapidratings.com/post/stress-testing-the-impact-of-tariffs-navigating-volatility-and-more

[34] Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education Limited.

[35] Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). Sage Publications.

[36] SEC. (2021). Public company reporting requirements. https://www.sec.gov

[37] Taherdoost, H. (2016). Sampling methods in research methodology; How to choose a sampling technique for research. International Journal of Academic Research in Management (IJARM), 5(2), 18–27.

[38] WTO. (2023). Understanding the WTO: The agreements. https://www.wto.org

[39] World Bank. (2022). World development report: International trade for development. https://www.worldbank.org

[40] Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row.

[41] Zhao, M. (2020). Short-termism of public firms and long-term impacts of trade shocks. Journal of International Economics, 126, 103338. https://doi.org/10.1016/j.jinteco.2020.103338

How to cite this paper

Onoriode Enaigbe "Tariff Exposure On the Financial Performance of Firms Across Different Industries" Iconic Research And Engineering Journals Volume 9 Issue 3 2025 Page 853-866 https://doi.org/10.64388/IREV9I3-1710678-4188
Onoriode Enaigbe "Tariff Exposure On the Financial Performance of Firms Across Different Industries" Iconic Research And Engineering Journals, vol. 9, no. 3, Sep. 2025, doi: https://doi.org/10.64388/IREV9I3-1710678-4188
Onoriode Enaigbe (2025). Tariff Exposure On the Financial Performance of Firms Across Different Industries. Iconic Research And Engineering Journals, 9(3). doi: https://doi.org/10.64388/IREV9I3-1710678-4188
Onoriode Enaigbe "Tariff Exposure On the Financial Performance of Firms Across Different Industries" Iconic Research And Engineering Journals, vol. 9, no. 3, Sep. 2025. Crossref, https://doi.org/10.64388/IREV9I3-1710678-4188
@article{1710678,
      author = {Onoriode Enaigbe},
      title = {Tariff Exposure On the Financial Performance of Firms Across Different Industries},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {3},
      pages = {853-866},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710678.pdf},
      abstract = {This study examines the impact of tariff exposure on the financial performance of firms across different industries, with a comparative lens on public and private companies. The analysis is situated within the context of growing global protectionism and trade policy uncertainty, which have imposed new challenges on corporate cost structures and supply chain strategies. Drawing on secondary data from the period 2020 to 2024, the study employs a quantitative cross-sectional design to evaluate financial indicators such as return on assets (ROA), return on equity (ROE), revenue growth, and operating margins. The findings reveal that technology firms are generally more resilient to tariff shocks, while manufacturing and agriculture sectors show greater financial vulnerability. Public companies consistently outperform private ones, benefiting from broader access to capital, diversified operations, and more robust risk management capabilities. Strategic responses such as supply chain diversification, localized production, and financial hedging were found to mitigate the adverse effects of tariff exposure. The study contributes to the understanding of how firms navigate tariff-induced risks and offers practical insights for policymakers, corporate leaders, and investors aiming to strengthen operational resilience in an increasingly volatile trade environment.},
      keywords = {Tariff Exposure, Financial Performance, Public Vs. Private Firms, Trade Policy, Supply Chain Strategy, Trade Risk Management.},
      month = {September},
      doi = {https://doi.org/10.64388/IREV9I3-1710678-4188}
  }