Transfer Pricing in a World Recovering from COVID: Juggling Compliance with New Global Tax Policies

Authors

  • Piyushkumar Patel Accounting Consultant at Steelbro International Co., Inc, USA Author

Keywords:

Transfer pricing, COVID-19, OECD, global tax regimes

Abstract

The COVID-19 epidemic damaged world economies, so multinational companies had to navigate challenging transfer pricing policies while following fast changing tax laws. As supplier networks altered and profit margins evolved to reflect the new reality, tax authorities all around started attentively reviewing conventional transfer pricing rules. The epidemic sped up debates over equitable profit distribution as new international frameworks like the OECD's Unified Approach acquired traction—especially for enterprises in the digital economy. Multinational corporations today suffer increased risks of conflicts as governments handle economic crises and strengthen enforcement laws.Transfer pricing policies in this environment have to go beyond mere compliance to include proactive stakeholder involvement, real-time data analysis, and thorough documentation. Companies responding to pandemic-induced disruptions—which include market instability and changes in supply-demand dynamics—must rethink intercompany transactions, intangible asset pricing, and the arm's length principle.This study looks at how companies could balance their need to comply with their adaption to new worldwide tax systems. It emphasizes the importance of employing current technology for tax reporting, such as risk management systems, and encourages cooperation with tax authorities to reduce conflicts.  Moreover, it examines case studies of sectors notably affected by the epidemic—more especially, drugs and technology—to offer practical solutions for control of transfer pricing in a post-COVID world. Using a proactive and flexible approach will help businesses ensure compliance and build resilience among ongoing changes in regulations and economic uncertainty.

References

1. Megersa, K. (2020). Tax reforms after COVID-19 and financial crises. Knowledege, Evidence and learning for Development. Institute of Development studies. Helpdesk Report.

2. Michel, A. N. (2020). Post-COVID-19 Tax Policy: Keeping Taxes Low to Ensure a Robust Recovery. Heritage Foundation Backgrounder, (3549).

3. Kelsey, J., Bush, J., Montes, M., & Ndubai, J. (2020). How ‘Digital Trade’Rules Would Impede Taxation of the Digitalised Economy in the Global South. Third World Network.

4. Collins, M. (2017). Taxation: Measures and policy issues. The Economy of Ireland: Policy Making in a Global Context, 92-115.

5. POST, T. B. B. I. A., & EUROZONE, O. (2013). Policy Note.

6. Bhandari, B. (2006). Essays on Foreign Direct Investment and Income Inequality and Cross-price Effects in the US Trade Balance (Doctoral dissertation, University of Oregon).

7. Strategy, T. A. (2002). Ministry of Finance. Final Draft. January.

8. Qureshi, A. H., & Ziegler, A. (1999). International economic law (p. 338). London.

9. Crouch, C. (2009). Privatised Keynesianism: An unacknowledged policy regime. The British journal of politics and international relations, 11(3), 382-399.

10. Reid, J., Nicol, G., Burns, N., & Chanda, S. (2017). Long-term asset return study. The next financial crisis. London: Deutsche Bank.

11. Eichengreen, B., TOBIN, J., & WYPLOSZ, C. (2000). Financial Globalization. The Economic Journal, 105(428), 162-172.

12. Umeora, C. E. (2020). EFFECT OF CORONA VIRUS DISEASE (COVID 19) PANDEMIC ON OFFSHORE BANKING AND TAX HAVENS. www. accexgate. com, 1(3), 171-184.

13. Razin, A., Sadka, E., & Schwemmer, A. H. (2020). DEglobalizaion and Social Safety Nets in Post-Covid-19 Era: Textbook Macroeconomic Analysis (No. w27239). National Bureau of Economic Research.

14. Meyer, T. (2020). Trade law and supply chain regulation in a post-COVID-19 world. American Journal of International Law, 114(4), 637-646.

15. Enderwick, P., & Buckley, P. J. (2020). Rising regionalization: will the post-COVID-19 world see a retreat from globalization?. Transnational Corporations Journal, 27(2).

16. Thumburu, S. K. R. (2020). Enhancing Data Compliance in EDI Transactions. Innovative Computer Sciences Journal, 6(1).

17. Thumburu, S. K. R. (2020). Leveraging APIs in EDI Migration Projects. MZ Computing Journal, 1(1).

18. Gade, K. R. (2020). Data Mesh Architecture: A Scalable and Resilient Approach to Data Management. Innovative Computer Sciences Journal, 6(1).

19. Gade, K. R. (2020). Data Analytics: Data Privacy, Data Ethics, Data Monetization. MZ Computing Journal, 1(1).

20. Katari, A. Conflict Resolution Strategies in Financial Data Replication Systems.

21. Katari, A., & Rallabhandi, R. S. DELTA LAKE IN FINTECH: ENHANCING DATA LAKE RELIABILITY WITH ACID TRANSACTIONS.

22. Komandla, V. Enhancing Security and Fraud Prevention in Fintech: Comprehensive Strategies for Secure Online Account Opening.

23. Komandla, V. Transforming Financial Interactions: Best Practices for Mobile Banking App Design and Functionality to Boost User Engagement and Satisfaction.

24. Gade, K. R. (2019). Data Migration Strategies for Large-Scale Projects in the Cloud for Fintech. Innovative Computer Sciences Journal, 5(1).

25. Immaneni, J. (2020). Cloud Migration for Fintech: How Kubernetes Enables Multi-Cloud Success. Innovative Computer Sciences Journal, 6(1).

26. Boda, V. V. R., & Immaneni, J. (2019). Streamlining FinTech Operations: The Power of SysOps and Smart Automation. Innovative Computer Sciences Journal, 5(1).

27. Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2020). Automating ETL Processes in Modern Cloud Data Warehouses Using AI. MZ Computing Journal, 1(2).

28. Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2020). Data Virtualization as an Alternative to Traditional Data Warehousing: Use Cases and Challenges. Innovative Computer Sciences Journal, 6(1).

29. Muneer Ahmed Salamkar, and Karthik Allam. “Data Lakes Vs. Data Warehouses: Comparative Analysis on When to Use Each, With Case Studies Illustrating Successful Implementations”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Sept. 2019

30. Muneer Ahmed Salamkar. Data Modeling Best Practices: Techniques for Designing Adaptable Schemas That Enhance Performance and Usability. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Dec. 2019

31. Muneer Ahmed Salamkar. Batch Vs. Stream Processing: In-Depth Comparison of Technologies, With Insights on Selecting the Right Approach for Specific Use Cases. Distributed Learning and Broad Applications in Scientific Research, vol. 6, Feb. 2020

32. Muneer Ahmed Salamkar, and Karthik Allam. Data Integration Techniques: Exploring Tools and Methodologies for Harmonizing Data across Diverse Systems and Sources. Distributed Learning and Broad Applications in Scientific Research, vol. 6, June 2020

33. Naresh Dulam, et al. “Data As a Product: How Data Mesh Is Decentralizing Data Architectures”. Distributed Learning and Broad Applications in Scientific Research, vol. 6, Apr. 2020

34. Naresh Dulam, et al. “Data Mesh in Practice: How Organizations Are Decentralizing Data Ownership ”. Distributed Learning and Broad Applications in Scientific Research, vol. 6, July 2020

35. Naresh Dulam, et al. “Kubernetes Operators: Automating Database Management in Big Data Systems”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Jan. 2019

36. Naresh Dulam, and Karthik Allam. “Snowflake Innovations: Expanding Beyond Data Warehousing ”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Apr. 2019

37. Sarbaree Mishra. A Distributed Training Approach to Scale Deep Learning to Massive Datasets. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Jan. 2019

38. Sarbaree Mishra, et al. Training Models for the Enterprise - A Privacy Preserving Approach. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Mar. 2019

39. Sarbaree Mishra. Distributed Data Warehouses - An Alternative Approach to Highly Performant Data Warehouses. Distributed Learning and Broad Applications in Scientific Research, vol. 5, May 2019

40. Sarbaree Mishra, et al. Improving the ETL Process through Declarative Transformation Languages. Distributed Learning and Broad Applications in Scientific Research, vol. 5, June 2019

41. Babulal Shaik. Network Isolation Techniques in Multi-Tenant EKS Clusters. Distributed Learning and Broad Applications in Scientific Research, vol. 6, July 2020

Downloads

Published

16-07-2021

How to Cite

[1]
Piyushkumar Patel, “Transfer Pricing in a World Recovering from COVID: Juggling Compliance with New Global Tax Policies”, Aus. J. of Machine Learning Res. & App., vol. 1, no. 2, pp. 208–227, Jul. 2021, Accessed: Mar. 14, 2025. [Online]. Available: https://ajmlra.org/index.php/publication/article/view/100