Category: Economics for Business: Ch 31

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Supply shocks – long-term gain from the short-term pain?

The world has suffered from a number of adverse supply shocks in recent years. First there was the credit supply shock of 2007–9 that led to a default on mortgages, a collapse in confidence in the banking system, the drying up of the inter-bank market, the freezing of lending and a global economic contraction. Then there was the COVID-19 pandemic. This shock to the the global economy led to a a fall in output and breaks in supply chains. As recovery took place, supply-side difficulties led to a surge in inflation.

Then there was the Russian invasion of Ukraine. This shock to energy and grain supplies led to rises in fuel and food prices: a cost-push inflationary shock. More recently, the closing of the Strait of Hormuz has cut off an important supply route and again sent fuel and other other prices rising.

These supply-side shocks create a dilemma for central banks. They push up inflation, but push output and employment down – a situation of ‘stagflation’.

This can be illustrated with a simple aggregate demand and supply diagram. The shock shifts the aggregate supply curve upwards to the left, illustrated by the move from SRAS1 to SRAS2. The price level rises to P2 and GDP falls to Y2.

But central bank policy is designed to affect aggregate demand, not aggregate supply. If it raises interest rates, aggregate demand will shift to the left. The price level will fall (or at least the rate of inflation will fall), but output will fall further. If it cuts interest rates, aggregate demand will shift to the right. This will help to curtail, or even reverse, the fall in GDP, but will lead to even higher prices.

For countries where their central bank has a simple inflation mandate (e.g. keeping inflation close to 2%), sticking to this target in the short term would result in higher interest rates, lower economic growth and higher unemployment – and possibly even a recession. In such cases, central banks tend to project forward beyond the short-term shock and set interest rates to target inflation in a few months’ time. Indeed, many central banks do explicitly target inflation in the medium term (1 or 2 years) rather than the short term.

Central banks, such as the US Federal Reserve Bank, which have a dual mandate of targeting inflation but also maximising employment, the trade-off between these two objectives can be stark. Getting the inflation down requires a higher rate of interest; maximising employment in the face of an adverse supply shock requires a lower rate of interest.

The short-term economic costs, let alone the human costs if the shock involves a war, can be great. People may suffer extreme hardship. The cost to the US Treasury of the first six weeks of the Iran war were estimated by the Pentagon to be some $29bn1 – which translates into higher taxes for US residents, lower government spending on non-war related items, higher government borrowing or some combination of the three. Other estimates put the cost to the US taxpayer as much higher – up to $1 trillion over the longer term.2 Then there are the costs to consumers of higher fuel and other prices, estimated at around $410 per month.3

The costs to Iranian citizens will be much higher in terms of war damage and loss of livelihood, let alone the suffering and loss of life. Then there are the costs to the rest of the world from higher prices of fuel, fertilisers and various industrial materials that are normally shipped through the Strait of Hormuz.

Long-term economic gain?

Supply shocks often expose economic vulnerabilities that can later be addressed, making supply chains more diverse and more resilient. They can give a boost to alternative technologies, such as a switch from fossil-fuels to green energy.

After the 2007–9 financial crisis, banking systems were made more robust under the Basel III system. Capital and liquidity requirements were increased and bank leverage was decreased. Many countries, such as the UK, introduced ‘ringfencing’ to separate retail banking from the riskier investment banking. This increased confidence in the banking system.

The COVID-19 pandemic gave a boost to working remotely and the establishment of more flexible work patterns. What was a necessity during lockdowns, was seen as an effective model by many companies. Fully remote or hybrid working became commonplace for many jobs that were previously done in the office. Time has allowed employers to find the best balance of in-office and remote working, with the optimum balance often varying by type of job being performed.

The rising price of oil and gas following the Russian invasion of Ukraine in February 2022, saw many countries that had been reliant on imports from Russia, accelerating their efforts to switch to renewable energy. Supply chains were re-examined and there was a move towards ‘re-shoring’, ‘near-shoring’, or ‘friend-shoring’: that is, obtaining supplies from countries that are nearer and/or more reliable as trading partners.

This approach was further boosted by the extensive tariffs imposed by the Trump second administration. One of the responses to the higher tariffs was to seek markets, both for exports and imports, away from the USA. To the extent that there is ‘re-shoring’ (substituting exports and imports for production and consumption within the country), then this amounts to deglobalisation. If this represents a move from low-cost to high-cost production and is contrary to the law of comparative advantage, then there will be a net economic loss. If, however, the reduction in risk of disruption and the boost to domestic industries allows a reduction in costs, there could be a net gain.

The most recent example of the Iran war has led many countries to reconsider sources of supply and to make their supply chains more robust and less risky. Gulf countries are considering expanding their pipeline network to avoid the Strait of Hormuz. For other countries, it is providing a further boost to green energy. Increased investment in the renewable sector will help to bring down costs and make countries less vulnerable to future conflicts involving oil-producing countries or sea passages.

To summarise: if initially adverse supply-side shocks cause a diversification and strengthening of supply chains, a diversification of energy sources, accelerated technological innovation and the adoption of new more efficient techniques, the long-term supply-side effects could be positive. Pain today for gain tomorrow?

But the short run comes before the long run and today’s costs are real and mounting. A shock may stimulate a positive response, but the current shock is persisting, and forecasts are getting more dire by the day. And even when the Iran war is over, there may be more shocks around the corner – ‘unknown unknowns’. As Keynes said: ‘In the long run we’re all dead’.

References

  1. Pentagon’s estimate for Iran war grows to $29B

    2. Politico, Mark Sweney (12/5/26)

  2. World Politics The Iran war could cost the American taxpayer $1 trillion, says Harvard academic

    3. CNBC, Joseph Wilkins (14/4/26)

  3. The Economic Costs of the Iran War

    4. American Enterprise Institute, Roger Pielke Jr. (2/4/26)

Articles

Questions

  1. What policies have central banks pursued during the Iran war?
  2. Paint an optimistic scenario for the global economy five years hence.
  3. Paint a pessimistic scenario for the global economy five years hence.
  4. Compare the sources of supply of oil and gas for Europe directly prior to the Iran war with those directly prior to the Russian invasion of Ukraine.
  5. Compare the relative merits of globalisation and deglobalisation. Does this depend on the nature of globalisation and deglobalisation?
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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?