Category: Economics: Ch 23

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Youth unemployment and the post-pandemic peak

Unemployment in the UK reached its highest level in nearly five years at the close of 2025, according to new data from the Office for National Statistics. Figures show the unemployment rate rising to 5.2% in the three months to December, up slightly from 5.1% in the preceding quarter.

This marks the highest unemployment level since the pandemic, coinciding with a slowdown in wage growth and increasing speculation that interest rates may soon be lowered.

Youth unemployment

However, young people are taking the heaviest hit, with unemployment climbing to 16.1% among those aged 16 to 24. (Click here for a PowerPoint of the chart.) This is the highest level in more than a decade, including the spike seen during the pandemic. Economists largely attribute this trend to rising payroll costs, which they say are discouraging employers from offering entry level roles. Long-term youth unemployment is also worsening, with recent data showing that a growing share of unemployed young people have been out of work for over 12 months, highlighting deeper and more persistent barriers to re entry.

At the same time, although wages for those in work continue to grow faster than prices, the pace of wage growth is steadily slowing, adding further pressure on young people already facing the most challenging labour market conditions in years. According to ONS data, the annual growth in average weekly wages, excluding bonuses, slowed to 4.2% in the last three months of 2025. Private-sector wage growth eased to 3.4%, bringing it closer to the 3.25% rate that the Bank of England believes is consistent with its 2% inflation target.

The impact on interest rates

The Bank of England is watching the slowdown in the UK jobs market closely as it gauges when next to lower its interest rates. In February 2026, the Monetary Policy Committee voted to hold the base rate (Bank Rate) at 3.75%. However, the committee voted with a majority of 5-4, with four members voting to reduce the rate to 3.5%.

The Bank of England uses interest rates as a policy tool to control inflation, the rate at which general prices rise in the economy. The current rate of inflation of 3.4% is above the Bank of England’s target of 2%.

In addition to the split vote, some economists believe that the easing in pay growth makes it likely that Bank Rate will be cut at the next meeting on 19th March. Paul Dales, chief UK economist at Capital Economics, said the fall in wage growth ‘supports the idea that the Bank of England has at least a couple more interest rate cuts in its locker’. A decrease in interest rates will be welcomed by investors.

What is behind the increase in youth unemployment?

Young people always tend to be the most impacted by a downturn in hiring. But economists warned that the rise in youth unemployment was a sign that employers are being more cautious about hiring younger workers. Openings for low-skilled entry-level roles and for new graduates have dropped steeply. Many businesses have slowed hiring due to an increase in costs because of measures in Chancellor Rachel Reeves’s last two Budgets. Businesses claim that the combination of increases in employer National Insurance contributions and a rise in the minimum wage mean they are facing higher payroll costs.

Peter Dixon at the National Institute for Economic and Social Research said, ‘there are indications that younger workers in particular are being priced out of the market’, supporting the explanation that raising the minimum wage might also be disincentivising the hiring of young people.

The ONS reported that the retail and wholesale sector saw the biggest fall in the number of workers on company payrolls, with 65,000 jobs lost in the sector since January last year. Meanwhile, health and social work saw the biggest rise in payrolled workers of any sector, adding 39,000 jobs in the year to January. Financial analyst at AJ Bell, Danni Hewson, suggested that those leaving the retail sector were now entering healthcare, with both sectors employing large numbers of women. However, she also warned that a recent surge in investment in artificial intelligence could hit young people the hardest as it could result ‘in a scarcity of entry level posts’ (see the blog Will AI make the world less equal?.

Job vacancies

Job vacancy data across the UK indicates a significant cooling in labour demand. According to the latest ONS figures, vacancies fell from 736,000 in the three months to December to 726,000 in January, signalling continued weakening in hiring activity. According to the job search site, Adzuna, the number of vacant positions has dropped to its lowest level in five years, with job listings sliding 3% in January to 695,000, marking the first time vacancies have dipped below 700,000 since early 2021. Notably, graduate opportunities have fallen below 10,000 for the first time since Adzuna started tracking in 2016, underscoring the deepening challenges for new entrants to the workforce.

This downward trend in job openings extends patterns seen throughout late 2025, with vacancies down 16% from the previous January and nearly 20% lower than six months earlier. This coincides with a rise in unemployment to 5.2%, slower wage growth, and a growing concern that young people are disproportionately affected as hiring slows. As opportunities shrink, competition has intensified: there are now 2.4 jobseekers per vacancy, up from 2.27 in December, with the most sought-after roles including warehouse staff, healthcare support workers, lorry drivers, labourers and kitchen assistants.

How can the situation be improved?

Pat McFadden, Secretary for Work and Pensions, has commissioned the former Health Secretary Alan Milburn to lead a review into the causes of rising youth inactivity. There will be a particular focus on mental health issues that are pushing young people out of education and employment. This initiative responds to the growing number of young people not in education, employment, or training (NEETs), many of whom are now classified as inactive rather than unemployed. Some receive health-related benefits and are therefore not required to look for work, while others fall outside the benefits system entirely, making them harder to identify and support.

However, Pat McFadden said there was ‘more to do to get people into jobs’, and that tackling youth unemployment is a key government priority. He added that Labour was working to make it easier for young people to find and secure an apprenticeship, supported by a wider package of reforms. The reforms announced by McFadden include creating 50,000 additional apprenticeships. The government will also expand support for 350,000 people to move into work or training in sectors such as care and construction, with the risk of losing benefits if they refuse. They also include the provision of 55,000 state-funded, six-month work placements for the long-term unemployed.

While these measures are widely seen as necessary, campaign groups argue the government should go further by extending its ‘Youth Guarantee’ to cover all young people up to age 24, rather than ending at 22.

However, as Alice Martin, head of research at Lancaster University’s Work Foundation, notes, initiatives designed to help people return to the labour market have limited impact ‘if the jobs aren’t out there.’ Even graduates are finding that opportunities are scarce, and for those leaving education with few qualifications, the situation is even more challenging. Sectors such as retail, once a reliable source of first jobs, have been in long-term structural decline, a trend that is now accelerating and further narrowing the pathways available to young people entering the workforce.

The situation has prompted government discussions about postponing the planned rise in the minimum wage for 18- to 20-year-olds to address employers’ concerns and encourage more youth employment. However, on Wednesday, Keir Starmer stressed that Labour remains committed to its manifesto pledge to align the pay of younger workers with that of older employees. The Prime Minister confirmed that the promise to ‘remove the discriminatory age bands’ in the minimum wage system still stands, and that the increase scheduled for April will proceed as planned.

Starmer said ‘We’ve made commitments to young people in our manifesto, and we will keep to those commitments, including the commitment that we would make sure that the living wage and minimum wage will go up this April, which we can absolutely confirm to you will happen.’

Unemployment outlook

Multiple economic forecasts predict that unemployment will to continue to rise in 2026. The most frequently cited projection places the 2026 unemployment rate around 5.2%–5.5%. However, some economists expect businesses to regain confidence and begin hiring again later in the year, supporting a gradual stabilisation in job markets.

Yet risks remain significant: if that recovery fails to materialise, unemployment could edge toward 6% by the end of the year, with forecasts from JP Morgan suggesting unemployment may reach 2 million in the first half as firms delay recruitment following the recent rise in the employers’ National Insurance rate. This environment is proving especially challenging for young people, with early career opportunities among the first to disappear and delayed entry into work potentially limiting long-term earnings and progression.

As hiring becomes more cautious and entry-level roles tighten, the path into the labour market risks becoming narrower, underscoring the need for policies and conditions that support both employer confidence and opportunities for new entrants.

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Questions

  1. Explain why youth unemployment has risen more sharply than overall unemployment at the end of 2025.
  2. What are the costs to the individual of being unemployed?
  3. What are the wider non-monetary costs to society?
  4. Explain the main financial costs to the wider economy of a rising unemployment rate.
  5. Assess the likely impact of slowing wage growth on the Bank of England’s decision about whether or not to cut interest rates in early 2026.
  6. Discuss how falling job vacancies, particularly graduate and entry‑level opportunities, might affect long‑term labour market outcomes for young people.
  7. Evaluate the effectiveness of government policies such as expanding apprenticeships, increasing work placements, and reviewing youth inactivity in reducing youth unemployment.
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The Russian economy after four years of war

At the fourth anniversary of Russia’s invasion of Ukraine, we look at the effect of the war on the Russian economy. Two years ago, in the blog The Russian economy after two years of war, we argued that the Russian economy had seemingly weathered the war successfully.

Unlike Ukraine, very little of its infrastructure had been destroyed; it had started the war with a current account balance of payments surplus, a budget surplus and a low general government debt-to-GDP ratio; it had achieved a lot of success in diverting its exports, including oil, away from countries imposing sanctions to countries such as China and India; it was the same with imports, with China especially becoming a major suppliers of machinery, components and vehicles; it has a strong central bank, which engenders a high level of confidence in managing inflation; the military expenditure provided a Keynesian boost to the economy, with production and employment rising.

The situation today

But two years further on, the Russian economy is looking a lot weaker and on the verge of recession. GDP growth fell to 0.6 per cent in 2025 and is forecast to be no more than 1 per cent for the next two years. (Click here for a PowerPoint of the chart.) And despite growth still being positive (just), this is largely because of the growth in military expenditure. Retail and wholesale trade fell by 1.1% in 2025, reflecting supply chain problems and high inflation dampening consumer demand.

With labour being diverted into the armaments and allied industries or into the armed forces, this has led to labour shortages. This has been compounded by the emigration of up to 1 million people by 2025 – often young, educated and skilled professionals.

Official CPI inflation averaged 8.7 per cent in 2025, although the prices of food and other consumer essentials rose by more, especially in recent months. At the beginning of 2026, supermarket prices rose by 2.3% in just one month, made worse by a rise in VAT from 20% to 22%. The central bank has responded to the high inflation with high interest rates, which averaged 19.2% in 2025, giving a real rate of 10.5%. With such a high real rate, the response of households has been to save. This has masked the constraints on production, or imports, of consumer goods. Savings have also been boosted by large payments to soldiers and bereaved families, with the money saved by the recipients being used in part to fund future such payments. So far there has been trust in the banking system, but if that trust waned and people starting making large withdrawals of savings, it could be seriously destabilising.

Whilst the high real interest rates have helped to mask shortages of consumer goods, they have had a seriously dampening effect on investment by domestic companies. Gross capital formation fell by 3% in 2025, not helped by an increase in the corporation tax from 20% to 25%. At the same time, foreign direct investment remains subdued due to high perceived risks. The lack of investment, plus the labour shortages, will have profound effects on the supply side of the economy, with potential output in the non-military sector likely to decline over the medium term.

The balance of payments and government finances are turning less favourable. The balance of trade surplus has declined from US$173bn in 2021 to US$67bn in 2025. This could decline further, or even become a deficit, if oil prices continue to be weak, if Western sanctions are tightened (such as stopping the flow of Russian oil exports in the ‘shadow’ fleet of tankers) or if major importing countries stop buying Russian oil. Indian refiners have announced that they are not taking Russian crude in March/April as India seeks to finalise a trade deal with the USA.

The budget balance has moved from a small surplus of 0.8% of GDP in 2021 to a deficit of 2.9% in 2025. Although the government debt-to-GDP ratio remains low by international standards at 23.1% of GDP in 2025, this was up from 16.5% in 2021 and is set to rise further as budget deficits deepen. Nevertheless, as long as the saving rate remains high, the debt can be serviced by domestic bond purchase.

Russia’s economy is definitely weakening and labour shortages and low investment will create major problems for the future. But whether this deterioration will be enough to change Russia’s stance on the war in Ukraine remains to be seen.

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Questions

  1. What constraints are there currently on the supply side of the Russian economy?
  2. Some economists have argued that the economic effects of a stalemate in the Ukraine war would suit the Russian leadership more than peace or victory. Why might this be so?
  3. Under what circumstances might a deep recession in Russia be more likely than stagnation?
  4. In what ways does Russia’s current financial system resemble a pyramid scheme?
  5. What cannot a Keynesian boost contunue to support the Russian economy indefinitely?
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Will AI make the world less equal?

With businesses increasing their use of AI, this is likely to have significant effects on employment. But how will this affect the distribution of income, both within countries and between countries?

In some ways, AI is likely to increase inequality within countries as it displaces low-skilled workers and enhances the productivity of higher-skilled workers. In other ways, it could reduce inequality by allowing lower-skilled workers to increase their productivity, while displacing some higher-skilled workers and managers through the increased adoption of automated processes.

The effect of AI on the distribution of income between countries will depend crucially on its accessibility. If it is widely available to low-income countries, it could significantly enhance the productivity of small businesses and workers in such countries and help to reduce the income gap with the richer world. If the gains in such countries, however, are largely experienced by multinational companies, whether in mines and plantations, or in labour-intensive industries, such as garment production, few of the gains may accrue to workers and global inequality may increase.

Redistribution within a country

The deployment of AI may result in labour displacement. AI is likely to replace both manual and white-collar jobs that involve straightforward and repetitive tasks. These include: routine clerical work, such as data entry, filing and scheduling; paralegal work, contract drafting and legal research; consulting, business research and market analysis; accounting and bookkeeping; financial trading; proofreading, copy mark-up and translation; graphic design; machine operation; warehouse work, where AI-enabled warehouse robots do many receiving, sorting, stacking, retrieval, carrying and loading tasks (e.g. Amazon’s Sequoia robotic system); basic coding or document sifting; market research and advertising design; call-centre work, such as enquiry handling, sales, telemarketing and customer service; hospitality reception; sales cashiers in supermarkets and stores; analysis of health data and diagnosis. Such jobs can all be performed by AI assistants, AI assisted robots or chat bots.

Women are likely to be disproportionately affected because they perform a higher share of the administrative and service roles most exposed to AI.

Workers displaced by AI may find that they can find employment only in lower-paid jobs. Examples include direct customer-facing roles, such as bar staff, shop assistants, hairdressers and nail and beauty consultants.

Such job displacement by AI is likely to redistribute income from relatively low-skilled labour to capital: a redistribution from wages to profits. This will tend to lead to greater inequality.

AI is also likely to lead to a redistribution of income towards certain types of high-skilled labour that are difficult to replace with AI but which could be enhanced by it. Take the case of skilled traders, such as plumbers, electricians and carpenters. They might be able to use AI in their work to enhance their productivity, through diagnosis, planning, problem-solving, measurement, etc. but the AI would not displace them. Instead, it could increase their incomes by allowing them to do their work more efficiently or effectively and thus increase their output per hour and enhance their hourly reward. Another example is architecture, where AI can automate repetitive tasks and open up new design possibilities, allowing architects to focus on creativity, flexibility, aesthetics, empathy with clients and ethical decision-making.

An important distinction is between disembodied and embodied AI investment. Disembodied AI investment could include AI ‘assistants’, such as ChatGPT and other software that can be used in existing jobs to enhance productivity. Such investment can usually be rolled out relatively quickly. Although the extra productivity may allow some reduction in the number of workers, disembodied AI investment is likely to be less disruptive than embodied AI investment. The latter includes robotics and automation, where workers are replaced by machines. This would require more investment and may be slower to be adopted.

Then there are jobs that will be created by AI. These include prompt engineers, who develop questions and prompt techniques to optimise AI output; health tech experts, who help organisations implement new medical AI products; AI educators, who train people in the uses of AI in the workplace; ethics advisors, who help companies ensure that their uses of AI are aligned with their values, responsibilities and goals; and cybersecurity experts who put systems in place to prevent AI stealing sensitive information. Such jobs may be relatively highly paid.

In other cases, the gains from AI in employment are likely to accrue mainly to the consumer, with probably little change in the incomes of the workers themselves. This is particularly the case in parts of the public sector where wages/salaries are only very loosely related to productivity and where a large part of the work involves providing a personal service. For example, health professionals’ productivity could be enhanced by AI, which could allow faster and more accurate diagnosis, more efficient monitoring and greater accuracy in surgery. The main gainers would be the patients, with probably little change in the incomes of the health professionals themselves. Teachers’ productivity could be improved by allowing more rapid and efficient marking, preparation of materials and record keeping, allowing more time to be spent with students. Again, the main gainers would be the students, with little change in teachers’ incomes. Other jobs in this category include social workers, therapists, solicitors and barristers, HR specialists, senior managers and musicians.

Thus there is likely to be a distribution away from lower-skilled workers to both capital and higher-skilled workers who can use AI, to people who work in new jobs created by AI and to the consumers of certain services.

AI will accelerate productivity growth and, with it, GDP growth, but will probably displace workers faster than new roles emerge. This is likely to increase inequality and be a major challenge for society. Can the labour market adapt? Could the effects be modified if people moved to a four- or three-day week? Will governments introduce statutory limits to weekly working hours? Will training and education adapt to the new demands of employers?

Redistribution between countries

AI threatens to widen the global rich–poor divide. It will give wealthier nations a productivity and innovation edge, which could displace low-skilled jobs in low-income nations. Labour-intensive production could be replaced by automated production, with the capital owned by the multinational companies of just a few countries, such as the USA and China, which between them account for 40% of global corporate AI R&D spending. For some companies, it would make sense to relocate production to rich countries, or certain wealthier developing countries, with better digital infrastructure, advanced data systems and more reliable power supply.

For other companies, however, production might still be based in low-income countries to take advantage of low-cost local materials. But there would still be a redistribution from wages in such countries to the profits of multinationals.

But it is not just in manufacturing where low-income countries are vulnerable to the integration of AI. Several countries, such as India, the Philippines, Mexico and Egypt have seen considerable investment in call centres and IT services for business process outsourcing and customer services. AI now poses a threat to employment in this industry as it has the potential to replace large numbers of workers.

AI-related job losses could exacerbate unemployment and deepen poverty in poorer countries, which, with limited resources, limited training and underdeveloped social protection systems, are less equipped to absorb economic and social shocks. This will further widen the global divide. In the case of embodied AI investment, it may only be possible in low-income countries through multinational investment and could displace many traditional jobs, with much of the benefit going in additional multinational profit.

But it is not all bad news for low-income countries. AI-driven innovations in healthcare, education, and agriculture, if adopted in poor countries, can make a significant contribution to raising living standards and can slow, or even reverse, the widening gap between rich and poor nations. Some of the greatest potential is in small-scale agriculture. Smallholders can boost crop yields though precision farming powered by AI; AI tools can help farmers buy seeds, fertilisers and animals and sell their produce at optimum times and prices; AI-enabled education tools can help farmers learn new techniques.

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Questions

  1. What types of job are most vulnerable to AI?
  2. How will AI change the comparative advantage of low-income countries and what effect will it be likely to have on the pattern of global trade?
  3. Assess alternative policies that governments in high-income countries can adopt to offset the growth in inequality caused by the increasing use of AI.
  4. What policies can governments in low-income countries or aid agencies adopt to offset the growth in inequality within low-income countries and between high- and low-income countries?
  5. How might the growth of AI affect your own approach to career development?
  6. Is AI likely to increase or decrease economic power? Explain.
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How to increase productivity – the key to economic growth

The productivity gap between the UK and its main competitors is significant. In 2024, compared to the UK, output per hour worked was 10.0% higher in France, 19.8% higher in Germany and 41.1% higher in the USA. These percentages are in purchasing-power parity terms: in other words, they reflect the purchasing power of the respective currencies – the pound, the euro and the US dollar.

GDP per hour worked (in PPP terms) is normally regarded as the best measure of labour productivity. An alternative measure is GDP per worker, but this does not take into account the length of the working year. Using this measure, the gap with the USA is even higher as workers in the USA work longer hours and have fewer days holiday per year than in the UK.

The productivity gap is not a new phenomenon. It has been substantial and growing over the past 20 years. (The exception was in 2020 during lockdowns when many of the least productive sectors, such as hospitality, were forced to close temporarily.)

The productivity gap is shown in the two figures. Both figures show labour productivity for the UK, France, Germany and the USA from 1995 to 2024.

Figure 1 shows output (GDP) per hour, measured in US dollars in PPP terms.

Figure 2 shows output (GDP) per hour relative to the UK, with the UK set at 100. The gap narrowed somewhat up to the early 2000s, but since then has widened.

Low UK productivity has been a source of concern for UK governments and business for many years. Not only does it constrain the growth in living standards, it also make the UK less attractive as a source of inward investment and less competitive internationally.

Part of the reason for low UK productivity compared to that in other countries is a low level of investment. As a proportion of GDP, the UK has persistently had the lowest, or almost the lowest, level of investment of its major competitors. This is illustrated in Table 1.

It is generally recognised by government, business and economists that if the economy is to be successful, the productivity gap must be closed. But there is no ‘quick fix’. The policies necessary to achieve increased productivity are long term. There is also a recognition that the productivity problem is a multi-faceted one and that to deal with it requires policy initiatives on a broad front: initiatives that encompass institutional changes as well as adjustments in policy.

So what can be done to improve productivity and how can this be achieved at the micro as well as the macro level?

Improving productivity: things that government can do

Encouraging investment. Over the years, UK governments have increased investment allowances, enabling firms to offset the cost of investment against pre-tax profit, thereby reducing their tax liability. For example, in the UK, companies can offset a multiple of research and development costs against corporation tax. The rate of relief for small and medium-sized enterprises (SMEs) allows companies that work in science and technology to deduct an extra 86% of their qualifying expenditure from their trading profit in addition to the normal 100% deduction: i.e. a total of 186% deduction. Meanwhile, since April 2016, larger companies have been able to claim a R&D expenditure credit, initially worth 11 per cent of R&D expenditures, then 12 per cent from 2018 and 13 per cent from 2020. This was then raised to 20 per cent from 2023.

Strengthening competition. A number of studies have revealed that, with increasing market share, business productivity growth slows. As a result, government policy sought to strengthen competition policy. The Competition Act 1998, which came into force in March 2000, and the Enterprise Act of 2002, enhanced the powers of the Office of Fair Trading (OFT) (a predecessor to the Competition and Markets Authority) in respect to dealing with anti-competitive practices. It was given the ability to impose large fines on firms which had been found guilty of exploiting a dominant market position. Today, one of the strategic goals of the Competition and Markets Authority (CMA) is the aim of ‘extending competition frontiers’ in order to improve the way competition works.

Encouraging an enterprise culture. The creation of an enterprise culture is seen as a crucial factor not only to encourage innovation but also to stimulate technological progress. Innovation and technological progress are crucial to sustaining growth and raising living standards. The UK government launched the Small Business Service in April 2000, later renamed Business and Industry. Its role is to co-ordinate small-business policy within government and liaise with business, providing advice and information. However, according to the OECD, there remains considerable scope for increasing the level of government support for entrepreneurship in the UK.

Improving productivity: things that organisations can do

In the podcast from the BBC’s The Bottom Line series, titled ‘Productivity: How Can British Business Work Smarter’ (see link below), Evan Davis and guests discuss what productivity really looks like in practice – from offices and factories, to call centres and operating theatres.’ The episode identifies a number of ways in which labour productivity can be improved. These include:

  • People could work harder;
  • Workers could be better trained and more skilled and thus able to produce more per hour;
  • Capital could be increased so that workers have more equipment or tools to enable them to produce more, or there could be greater automation, releasing labour to work on other tasks;
  • Workplaces could be arranged more efficiently so that less time is spent moving from task to task;
  • Systems could put in place to ensure that tasks are done correctly the first time and that time is not wasted having to repeat them or put them right;
  • Workers could be better incentivised to work efficiently, whether through direct pay or promotion prospects, or by increasing job satisfaction or by management being better attuned to what motivates workers and makes them feel valued;
  • Firms could move to higher-value products, so that workers produce a greater value of output per hour.

The three contributors to the programme discuss various initiatives in their organisations (an electronics manufacturer, NHS foundation trusts and a provider of office services to other organisations).

They also discuss the role that AI plays, or could play, in doing otherwise time-consuming tasks, such as recording and paying invoices and record keeping in offices; writing grants or producing policy documents; analysing X-ray results in hospitals and performing preliminary diagnoses when patients present with various symptoms; recording conversations/consultations and then sorting, summarising and transcribing them; building AI capabilities into machines or robots to enable them to respond to different specifications or circumstances; software development where AI writes the code. Often, there is a shortage of time for workers to do more creative things. AI can help release more time by doing a lot of the mundane tasks or allowing people to do them much quicker.

There are huge possibilities for increasing labour productivity at an organisational level. The successful organisations will be those that can grasp these possibilities – and in many cases they will be incentivised to so so as it will improve their profitability or other outcomes.

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Questions

  1. In what different ways can productivity be measured? What is the most appropriate measure for assessing the effect of productivity on (a) GDP and (b) human welfare generally?
  2. Why has the UK had a lower level of labour productivity than France, Germany and the USA for many years? What can UK governments do to help close this gap?
  3. Find out how Japanese labour productivity has compared with that in the UK over the past 30 years and explain your findings.
  4. Research an organisation of your choice to find out ways in which labour productivity could be increased.
  5. Identify various ways in which AI can improve productivity. Will organisations be incentivised to adopt them?
  6. Has Brexit affected UK labour productivity and, if so, how and why?
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Low UK business investment: the problem of high minimum expected rates of return

The UK’s poor record on productivity since the 2008 financial crisis is well documented, not least in this blog series. Output per worker has flatlined over the 17 years since the crisis. As was noted in the blog, The UK’s poor productivity record, low UK productivity is caused by a number of factors, including the lack of investment in training, the poor motivation of many workers and the feeling of being overworked, short-termism among politicians and management, and generally poor management practices.

One of the most significant issues identified by analysts and commentators is the lack of investment in physical capital, both by private companies and by the government in infrastructure. Gross fixed capital formation (a measure of investment) has been much lower in the UK compared to international competitors.

From Figure 1 it can be observed that, since the mid-1990s, the UK has consistently had lower investment as a percentage of GDP compared to other significant developed market economies. The cumulative effect of this gap has contributed to lower productivity and lower economic growth.

Interestingly, since the financial crisis, UK firms have had high profitability and associated high cash holdings. This suggests that firms have had a lot of financial resources to reinvest. However, data from the OECD suggests that reinvestment rates in the UK, typically 40–50% of profit, are much lower than in many other OECD countries. In the USA the rate is 50%, in Germany 60–70% and in Japan 70%+. There is much greater emphasis in the UK on returning funds to shareholders through dividends and share buybacks. However, the reinvestment of much of this cash within firms could have gone some way to addressing the UK’s investment gap – but, it hasn’t been done.

Analysis by the OECD suggest that, while the cost of financing investment has declined since the financial crisis, the gap between this and the hurdle rate used to appraise investments has widened. Between 2010 and 2021 the difference nearly doubled to 4%. This increase in the hurdle rate can be related to increases in the expected rate of return by UK companies and their investors.

In this blog we will analyse (re)investment decisions by firms, discussing how increases in the expected rate of return in the UK raise the hurdle rate used to appraise investments. This reduces the incentive to engage in long-term investment. We also discuss policy prescriptions to improve reinvestment rates in the UK.

Investment and the expected rate of return

Investment involves the commitment of funds today to reap rewards in the future. This includes spending on tangible and intangible resources to improve the productive capacity of firms. Firms must decide whether the commitment of funds is worthwhile. To do so, economic theory suggests that they need to consider the compensation required by their provider of finance – namely, investors.

What rewards do investors require to keep their funds invested with the firm?

When conducting investment appraisal, firms compare the estimated rate of return from an investment with the minimum return investors are prepared to receive (termed the ‘expected return’). Normally this is expressed as a percentage of the initial outlay. Firms have to offer returns to investors which are equal to or greater than the minimum expected return – the return that is sufficient to keep funds invested in the firm. Therefore, returns above this minimum expected level are termed ‘excess returns’.

When firms conduct appraisals of potential investments, be it in tangible or intangible capital, they need to take into account the fact that net benefits, expressed as cash flows, will accrue over the life of the investment, not all at once. To do this, they use discounted cash flow (DCF) analysis. This converts future values of the net benefits to their present value. This is expressed as follows:

Where:
NPV = Net present value (discounted net cash flows);
K = Capital outlay (incurred at the present time);
C = Net cash flows (occur through the life of the investment project);
r = Minimum expected rate of return.

In this scenario, the investment involves an initial cash outlay (K), followed in subsequent periods by net cash inflows each period over the life of the investment, which in this case is 25 years. All the cash flows are discounted back to the present so that they can be compared at the same point in time.

The discount rate (r) used in appraisals to determine the present value of net cash flows is determined by the minimum expected return demanded by investors. If at that hurdle rate there are positive net cash flows (+NPV), the investment is worthwhile and should be pursued. Conversely, if at that hurdle rate there are negative net cash flows (–NPV), the investment is not worthwhile and should not be pursued.

According to economic theory, if a firm cannot find any investment projects that produce a positive NPV, and therefore satisfy the minimum expected return, it should return funds to shareholders through dividends or share buybacks so that they can invest the finance more productively.

Firm-level data from the OECD suggest that UK firms have had higher profits and this has been associated with increased cash holdings. But, due to the higher hurdle rate, less investment is perceived to be viable and thus firms distribute more of their profits through dividends and share buybacks. These payouts represent lost potential investment and cumulatively produce a significant dent in the potential output of the UK economy.

Why are expected rates of return higher in the UK?

This higher minimum rate of expected return can be explained by factors influencing its determinants; opportunity cost and risk/uncertainty.

Higher opportunity cost.  Opportunity cost relates to the rate of return offered by alternatives. Investors and, by implication firms, will have to consider the rate of return offered by alternative investment opportunities. Typically, investors have focused on interest rates as a measure of opportunity cost. Higher interest rates raise the opportunity cost of an investment and increase the minimum expected rate of return (and vice versa with lower interest rates).

However, it is not interest rates that have increased the opportunity cost, and hence the minimum expected rate of return associated with investment, in the UK since the financial crisis. For most of the period since 2008, interest rates have been extremely low, sitting at below 1%, only rising significantly during the post-pandemic inflationary surge in 2022. This indicates that this source of opportunity cost for the commitment of business investment has been extremely low.

However, there may be alternative sources of opportunity cost which are pushing up the expected rate of return. UK investors are not restricted to investing in the UK and can move their funds between international markets determined by the rate of return offered. The following table illustrates the returns (in terms of percentage stock market index gain) from investing in a sample of UK, US, French and German stock markets between August 2010 and August 2025.

When expressed in sterling, returns offered by UK-listed companies are lower across the whole period and in most of the five-yearly sub-periods. Indeed, the annual equivalent rate of return (AER) for the FTSE 100 index across the whole period is less than half that of the S&P 500. The index offered a paltry annual return of 2.57% between 2015 and 2020, while the US index offered a return of 16.48%. Both the French and German indices offered higher rates of return, in the latter part of the period particularly. This represents a higher opportunity cost for UK investors and may have increased their expectations about the return they require for UK investments.

Greater perceived risk/uncertainty.  Expected rates of return are also determined by perceptions of risk and uncertainty – the compensation investors need to bear the perceived risk associated with an investment. Investors are risk averse. They demand higher expected return as compensation for higher perceived risk. Higher levels of risk aversion increase the expected rate of return and related investment hurdle rates.

There has been much discussion of increased uncertainty and risk aversion among global investors and firms (see the blogs Rising global uncertainty and its effects, World Uncertainty Index, The Chancellor’s fiscal dilemma and Investment set to fall as business is baffled by Trump). The COVID-19 pandemic, inflation shocks, the war in Ukraine, events across the Middle East and the trade policies adopted by the USA in 2025 have combined to produce a very uncertain business environment.

While these have been relatively recent factors influencing world-wide business uncertainty, perceptions of risk and uncertainty concerning the UK economy seem to be longer established. To measure policy-related economic uncertainty in the UK, Baker, Bloom and Davis at www.PolicyUncertainty.com construct an index based on the content analysis of newspaper articles mentioning terms reflecting policy uncertainty.

Figure 2 illustrates the monthly index from 1998 to July 2025. The series is normalised to standard deviation 1 prior to 2011 and then summed across papers, by month. Then, the series is normalised to mean 100 prior to 2011.

Some of the notable spikes in uncertainty in the UK since 2008 have been labelled. Beginning with the global financial crisis, investors and firms became much more uncertain. This was exacerbated by a series of economic shocks that hit the economy, one of which, the narrow vote to leave the European Union in 2016, was specific to the UK. This led to political turmoil and protracted negotiations over the terms of the trade deal after the UK left. This uncertainty has been exacerbated recently by the series of global shocks highlighted above and also the budget uncertainty of Liz Truss’s short-lived premiership and now the growing pressure to reduce government borrowing.

While spikes in uncertainty occurred before the financial crises, the average level of uncertainty, as measured by the index, has been much higher since the crisis. From 1998 to 2008, the average value was 89. Since 2008, the average value has been 163. Since the Brexit vote, the average value has been 185. This indicates a much higher perception of risk and uncertainty over the past 15 year and this translates into higher minimum expected return as compensation. Consequently, this makes many long-term investment projects less viable because of higher hurdle rates. This produces less productive investment in capital, contributing significantly to lower productivity.

Policy proposals

There has been much debate in the UK about promoting greater long-term investment. Reforms have been proposed to improve public participation in long-term investment through the stock market. To boost investment, this would require the investing public to be prepared to accept lower expected returns for a given level of risk or accept higher risk for a given level of returns.

Evidence suggests that the appetite for this may be very low. UK savers tend to favour less risky and more liquid cash deposits. It may be difficult to encourage them to accept higher levels of risk. In any case, even if they did, many may invest outside the UK where the risk-return trade-off is more favourable.

Over the past 10 years, policy uncertainty has played a significant role in deterring investment. So, if there is greater continuity, this may then promote higher levels of investment.

The Labour government has proposed policies which aim to share or reduce the risk/uncertainty around long-term investment for UK businesses. For instance, a National Wealth Fund (NWF) has been established to finance strategic investment in areas such as clean energy, gigafactories and carbon capture. Unfortunately, the Fund is financed by borrowing through financial markets and the amount expected to be committed over the life of the current Parliament is only £29 billion, assuming that private capital matches public commitments in the ratio expected. It is questionable whether the Fund’s commitment will be sufficient to attract private capital.

Alternatively, Invest 2035 is a proposal to create a stable, long-term policy environment for business investment. It aims to establish an Industrial Strategy Council for policy continuity and to tackle issues like improving infrastructure, reducing energy costs and addressing skills gaps. Unfortunately, even if there is some attempt at domestic policy stability, the benefits may be more than offset by perceptions around global uncertainty, which may mean that UK investors’ minimum expected rates of return remain high and long-term investment low for the foreseeable future.

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Questions

  1. Use the marginal efficiency of capital framework to illustrate the ‘lost’ investment spending in the UK due to the investment hurdle rate being higher than the cost of capital.
  2. Explain the arbitrage process which produces the differences in valuations of UK securities and foreign ones due to differences in the expected rate of return.
  3. Sketch an indifference curve for a risk-averse investor, treating expected return and risk as two characteristics of a financial instrument.
  4. How does higher uncertainty affect the slope of an indifference curve for such an investor? How does this affect their investment hurdle rate?
  5. Analyse the extent to which the proposed polices can reduce the investment hurdle rate for UK companies and encourage greater levels of investment.