Innovative approach to a fair tax system for Multinationals and Governments

为跨国公司和政府提供公平税收制度的创新方法

• 批准号: DP200102935
• 负责人: A/Prof M. Shumi Akhtar
• 金额: $ 23.43万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-12-18 至 2023-12-17
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200102935
• 关键词: Innovative; approach; fair; tax; system

Multinationals (MNCs) tax avoidance has become a national blight and a global problem impacting tax fairness, transparency and economic efficiency. This project aims to find the optimal solution for the tax avoidance problem for both MNCs and governments via effective cost-benefit analysis through the design of a cutting-edge interdisciplinary machine-learning technique. Expected outcomes will include profound breakthroughs for enhancing economic growth via tax policy reform in Australia but also globally through cross-country tax avoidance comparison. The benefits will be instrumental in reforming fiscal and investment policies that are highly critical for improving economic welfare and capital inflows in Australia.

跨国公司（MNC）避免税收已成为一场全国疫病，并成为影响税收公平，透明度和经济效率的全球问题。该项目旨在通过设计尖端的跨学科机器学习技术，通过有效的成本效益分析来找到跨国公司和政府的最佳解决方案。预期的结果将包括通过澳大利亚通过税收政策改革，以及通过越野避税比较来增强经济增长的深刻突破。这些收益将有助于改革财政和投资政策，这些财政和投资政策对于改善澳大利亚的经济福利和资本流入至关重要。