Antiavoidancemeetmete

Antiavoidancemeetmete is a proposed policy concept in the field of tax law and regulatory compliance that seeks to deter and detect aggressive avoidance by combining anti-avoidance rules with continuous transaction monitoring and measurement—the "meter" component—of economic activities. The term is primarily discussed in policy papers and think-tank debates and is not widely adopted as of the time of writing.

Conceptually, antiavoidancemeetmete would require entities to subject transactions to predefined anti-avoidance criteria in near real time, using data reporting, analytics, and risk scoring; violations would trigger automatic prompts, audits, or penalties. The "meetmete" aspect refers to aligning behavior with both the letter of the rules and the intent to prevent circumvention, through real-time controls and feedback loops; it would involve cross-border information sharing and possibly a centralized monitoring infrastructure.

Potential applications include corporate income taxation, transfer pricing adjustments, subsidies and state aid controls, and financial market regulation; it emphasizes timely detection, reduced room for retroactive adjustment, and greater predictability for compliant actors. Implementation would require data infrastructure, interoperability standards, privacy safeguards, and governance to prevent abuse.

Critics raise concerns about administrative burden, risks to legitimate planning, privacy and data security, potential chilling effects on investment, and the feasibility of proportionate enforcement. Supporters argue it could close loopholes more effectively than traditional GAARs and deter aggressive schemes.

Related concepts include general anti-avoidance rule (GAAR), BEPS actions, real-time reporting regimes, and dynamic compliance frameworks. The term remains a topic of ongoing debate and analysis in fiscal policy discussions.