Pandemic shift to dwelling working might create UK tax disaster

The shift to home working brought about by the pandemic could cost the UK economy up to £32bn a year in lost personal income tax.

Highly paid workers who live abroad but work in the UK will pay their income tax in their country of residence, rather than to HMRC – which researchers say could cost billions each year.

This new mobility of the workforce can also affect where corporate income tax is paid and value created, as well as VAT and where goods and services are purchased.

Professor Rita de la Feria, Chair in Tax Law in the University of Leeds’ School of Law, co-led the new research with Dr Giorgia Maffini, Tax Policy expert, at PWC, London.

Their paper, The Impact of Digitalisation on Personal Income Taxes, is published in British Tax Review.

Professor de la Feria said: “The acceleration of digitalisation and the spread of remote working internationally as a result of the pandemic poses very significant challenges to personal income taxes.

“New mobile workers are likely to be at top of the income distribution, and even a small number could result in significant revenue losses to the UK, of between £6bn and £32bn.

“The likely effect will be a tightening of employment rules, introduction of new tax avoidance rules, and increased personal income taxes competition with countries fighting to attract new mobile workers.

“The impact of these labour changes is likely to be more significant in countries like the UK, which relies heavily on income tax – especially from a small number of high-income – and now potentially mobile – taxpayers.

“How big these challenges are, and how countries will react to them, will be a key issue in the coming years.”

Total income tax paid in the UK in 2018-19 was £187 billion, with 35% paid by the 4.2 million higher rate taxpayers, and 31% from additional rate taxpayers.

An estimated 31% of UK jobs can be carried out remotely – of which an as-yet unknown share will be internationally mobile.

Assuming only higher and additional rate taxpayers are internationally mobile, the researchers say the potential loss in income tax would be between 2% and 10% of the total revenue – between £3.8bn and £19bn a year.

Including Social Security contribution losses of between £2.7bn and £13bn a year, the total income tax revenue loss would amount to between £6.5 billion and £32.5 billion a year.

The researchers say recent global tax discussions have focussed on solving challenges to corporation tax posed by digitalisation, but the pandemic-led shift to remote working could pose an even bigger crisis.

Professor de la Feria said: “This crisis has the potential for much wider economic and societal ramifications than the challenges to corporation tax. The challenges of adapting our tax systems to a digital economy are far from over; indeed, they have just started.”


Further information

For media enquiries contact University of Leeds press officer Lauren Ballinger via [email protected].

University of Leeds

The University of Leeds is one of the largest higher education institutions in the UK, with more than 38,000 students from more than 150 different countries, and a member of the Russell Group of research-intensive universities. The University plays a significant role in the Turing, Rosalind Franklin and Royce Institutes.

We are a top ten university for research and impact power in the UK, according to the 2014 Research Excellence Framework, and are in the top 100 of the QS World University Rankings 2021.

The University was awarded a Gold rating by the Government’s Teaching Excellence Framework in 2017, recognising its ‘consistently outstanding’ teaching and learning provision. Twenty-six of our academics have been awarded National Teaching Fellowships – more than any other institution in England, Northern Ireland and Wales – reflecting the excellence of our teaching.

Follow University of Leeds or tag us in to coverage: Twitter Facebook LinkedIn Instagram

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.