Tag: productivity

For a while now, debate has raged over how to revive the fortunes of the London Stock Exchange (LSE). Since the 2008 financial crisis, the market has suffered a lack of investment, poor liquidity and low performance. This has produced a moribund financial market which has become unattractive to both investors and companies. Returns from the UK market lag international competitors, particularly the USA (see the chart).


Investment in the S&P 500 Index over the period would have produced annualised rates of return of 14.35%, more than double that from the FTSE 100 Index. Part of this underperformance is due to the industrial mix of the listed companies: low-growth energy and mining compared to the high-growth technology sectors in the USA. This has led to the perception that London is not a place for firms to list, particularly those in high-growth sectors.

In 2024, 88 companies choose to delist or transfer their primary listing elsewhere. Only 18 took their place. Several big companies from a range of industries, including Ashtead, Flutter and CRH have transferred their primary listing to New York or have plans to do so.

The new Labour government views stimulating higher levels of investment though the London market as an important element in its drive to boost productivity and growth in the UK. Recently, it has been reported that investment institutions have been lobbying the UK government to reduce significantly the tax-free allowance for Cash Individual Savings Accounts (ISAs) as a way to encourage more of UK households’ savings to be channelled through the UK stock market.

Currently, UK savers can save up to £20 000 annually into ISAs without paying tax on the interest earned. This can be held solely in Cash ISAs, or in a combination of Cash plus Stocks and Shares ISAs. The tax-free instruments which were introduced by a Labour government in 1999 to encourage higher savings have proved immensely popular. Data from Paragon Bank indicate that over £350 billion are held in these accounts. However, under the new proposals, the amount which would be allowed to be saved as cash has been rumoured to be cut to £4000 per year, with the hope that some of it will be invested in the UK stock market.

The proposals have proved controversial, with high-profile figures voicing opposition. In this blog, we’ll analyse the reasons behind the proposal and discuss whether it will have the desired effect of stimulating higher levels of investment. We’ll also discuss other proposed policies for making the LSE a more effective channel for investment flows to boost economic growth.

Stock markets and the saving and investment channel

The main reason for the proposed ISA change is to encourage more investment in the UK stock market. By reducing the amount which can be saved in Cash ISAs, the government hopes to encourage savers to invest in Stocks and Shares ISAs instead, particularly ones linked to the UK market. This would increase the amount of finance capital in the market, thereby boosting its liquidity. This would then make it an attractive place for young, vibrant UK and foreign companies to list.

An active, liquid secondary market in shares is important to attract firms to list on stock exchanges by issuing shares to outside investors. Traditionally, this channel has been important to the growth and development of firms.

Existing savings in Cash ISAs are deposited with financial institutions such as banks and building societies. Through the credit-creation process such funds can be used to finance productive investment. In countries like the UK, lending by financial institutions is an important way that investment is financed, particularly for small and medium-sized enterprises. However, scale limits, regulatory restrictions and the need to diversify lending properly means that there are limits to the financing available for company investment through these institutions.

Capital markets like the LSE are intended to meet these larger-scale requirements. Financial claims, such as debt and equity, are divided into atomised instruments and sold to outside investors to fund investment and business growth.

Further, the desire for a capital injection to finance growth is not the only reason that firms seek stock market listings. Founders of companies may have a lot of wealth invested in the equity of their firms. Selling some of their equity to outside investors through a stock market listing is a way of diversifying their wealth. However, if they are to maximise the potential sale price, there must be an active, liquid secondary market to encourage investors to buy shares in the primary market.

Proponents of reform want to encourage a greater appetite for risk among UK investors, which will produce more savings being channelled through the LSE.

One issue is whether savers will respond in the way anticipated and channel more funds through the UK stock market. Many savers like the security of Cash ISAs. Such vehicles offer a low-risk/low-return combination, which savers like because the tax benefits boost returns. A survey by the Nottingham Building Society found that a substantial number of Cash ISA savers are concerned that the proposed changes could affect their ability to save for important financial goals, such as buying a house or building an emergency fund. Higher-risk Stocks and Shares ISAs are not suitable for such savings because of the potential to lose the initial amount invested. Many may not be prepared to do so and one-third suggested they would save less overall.

According to the survey, only 38% of Cash ISA holders said they would consider investing in Stocks and Shares ISAs if the Cash ISA allowance were reduced. It may be difficult to alter such risk-averse preferences given the average amount saved through ISAs and demographics. In 2022/23, the average amount subscribed to ISAs was £5000. This does not suggest that average households have a significant surplus of cash that they may want to investment at a high risk through the stock market. Indeed, many may want to have access to the cash at short notice and so are not prepared to forgo liquidity for the time needed to accrue the benefits of compounding which stock market investing produces.

Demographics may also play a role in this. Many of those who save more are now retired, or near retirement. They are less likely to see the appeal of compounding returns over long periods through investment in shares. Instead, with shorter investment horizons, they may only see the potential for losses associated with Stocks and Shares ISAs. Indeed, they will be starting to liquidate their long-term positions to draw income in retirement. Therefore, they may save less.

For others, who may be prepared to accept the additional risk, with the prospect of higher returns in the way that advocates of the reform hope for, the reduction in the Cash ISA allowance does not necessarily mean that they will invest in Stocks and Shares ISAs linked to the UK market. Since returns from the UK market have lagged international competitors, it may be that savers will channel their savings to those international markets, particularly in the USA, where the risk–return relationship has been more rewarding. Doing so has been made much easier and cheaper through a combination of economic forces including technological advances, regulatory changes and increased competition. This makes it much easier for UK savers to channel investment funds to wherever potential return is highest. At the moment, this is unlikely to be the UK, meaning that the anticipated boost to investment funds may not be as much as anticipated.

Critics of the proposal also question the motives of investment fund managers who have been lobbying government. They argue that the reforms will mean that many people who do now choose to save in Stocks and Shares ISAs will buy funds managed by fund managers who will receive fees for doing so. Critics argue that it is the prospect of higher fees which is the real motive behind the lobbying, not any desire to boost investment and growth.

What alternatives are available to boost the London Stock Exchange

The low valuations of LSE-listed companies compared to their international counterparts, particularly those in the USA, has discouraged growing firms from listing in London. To address this, there have been calls to enhance corporate governance standards and reduce regulatory burdens for listed companies.

This has already been recognised by the authorities. In 2024, UK regulators approved the biggest overhaul of rules regulating London-listed companies. The new listing rules will hand more power to company bosses to make decisions without shareholder votes. They will give companies more flexibility to adopt dual-class share structures used by founders and venture capital firms to give themselves stronger voting rights than other investors. This is particularly popular for founders who want to diversify their wealth without sacrificing control and is used frequently by tech companies and venture capitalists when listing in the USA. Such reforms may attract more companies in high-growth sectors to list in London.

Tax policies which provide the right incentives to buy and sell shares could also encourage more investment in the LSE. For instance, the repeal in the mid-1990s of the preferential tax treatment of dividend income for UK pension funds and insurance companies is seen as a major factor in discouraging those institutions from investing more funds in the London market. Since tax on capital gains is only liable when they are realised, this reduces their present value versus the equivalent amount on dividends.

As the following table illustrates, given the significantly higher percentage of total returns derived from dividends in the LSE compared to other exchanges, the equal tax treatment of dividend and capital gains provides an incentive to seek jurisdictions where capital gains predominate. This is what UK pension funds have done. Data from the Office of National Statistics show that in 2024, 77% of UK occupational pensions equity investments were overseas.

Reinstating this tax benefit could stimulate greater demand for UK equity from this significant sector, boosting liquidity in the London market. Allied to this are proposals from the UK government to consolidate the fragmented UK pension industry to achieve greater scale economies in that channel for investment. This can reduce financing costs, boosting the marginal return from UK investments for these funds, encouraging greater investment in the UK market (ceteris paribus).

Further, the 2.5% stamp duty on share purchases has been viewed as another disincentive for both retail and institutional investors to engage in security trading on the London Stock Exchange. The duty, which is much higher than in peer economies, effectively raises the expected rate of return on UK equites which depresses perceptions of their values and prices. Its removal may raise trading volumes, improving the liquidity of the market and be offset by increased tax revenues in the future. However, the Treasury suggests that the removal of stamp duty is doubtful, since it would create a significant hole in the UK government’s budget.

Ultimately, many of these reforms may have limited impact on investment. Efforts to boost confidence in the stock market will depend on improving the overall economic environment in the UK. Therefore, it will be the wider policies promoting growth in general which will increase the rates of return offered by London-listed firms and be more significant to attracting capital to London.

However, many of these are controversial themselves, such as relaxing laws around planning permissions and addressing business uncertainties around post-Brexit trading arrangements with the European Union. These broader economic measures could help make the UK generally, and the LSE specifically, more appealing to both domestic and international investors.

Conclusion

The UK government’s proposal to reduce the Cash ISA allowance is part of a broader strategy to boost investment in the stock market and stimulate economic growth. While this change could lead to more capital being directed towards productive investments, it also poses challenges for savers who like the security and simplicity of Cash ISAs.

The ultimate impact will depend on how savers respond to these changes. The potential reduction in overall savings rates could counteract some of the intended benefits. Further, the extent to which they are prepared to channel their savings into UK-listed companies will be important. If many seek higher returns elsewhere, the impact on the UK stock market may be limited. In any case, policies to address the problems of the UK stock market will only work if the wider issues associated with UK productivity and growth are addressed.

Articles

Data

Questions

  1. Explain how banks use cash ISAs to finance investment through credit creation.
  2. What do stock markets offer which may boost investment and economic growth?
  3. What are the issues with the London Stock Exchange which is making it unattractive for raising finance?
  4. How is the rumoured ISA reform intended to help address these issues?
  5. Analyse the extent to which it will do so.
  6. How might some of the broader reforms proposed by the UK government influence rate of return on UK equities and attract capital?

Latest figures from the Office for National Statistics show that the UK was in recession at the end of 2023. The normal definition of recession is two quarters of falling real GDP. This is what happened to the UK in the last two quarters of 2023, with GDP falling by 0.1% in Q3 and 0.3% in Q4. In Q4, output of the service industries fell by 0.2%, production industries by 1.0% and construction by 1.3%.

But how bad is this? What are the implications for living standards? In some respects, the news is not as bad as the term ‘recession’ might suggest. In other respects, it’s worse than the headline figures might imply.

The good news (or not such bad news)

The first thing to note is that other countries too experienced a recession or slowdown in the second half of 2023. So, relative to these countries, the UK is not performing that badly. Japan, for example, also experienced a mild recession; Germany just missed one. These poor economic growth rates were caused largely by higher global energy and food prices and by higher central bank interest rates in response. The good news is that such cost pressures are already easing.

The second piece of good news is that GDP is expected to start growing again (modestly) in 2024. This will be helped by the Bank of England cutting interest rates. The Monetary Policy Committee is expected to do this at its May, June or August meetings provided that inflation falls. Annual CPI inflation was 4% in January – the same as in December. But it is expected to fall quite rapidly over the coming months provided that there are no serious supply-side shocks (e.g. from world political factors).

The third is that the recession is relatively modest compared with ones in the past. In the recession following the financial crisis, real GDP fell by 5.3% in 2009; during the pandemic, GDP fell by 10.7% in 2020. For this reason, some commentators have said that the last two quarters of 2023 represent a mere ‘technical recession’, with the economy expected to grow again in 2024.

Why things may be worse than the headline figures suggest

Real GDP per head
So far we have considered real GDP (i.e. GDP adjusted for inflation). But if changes in GDP are to reflect changes in living standards, we need to consider real GDP per head. Population is rising. This means that the rate of growth in real GDP per head is lower than the rate of growth in real GDP

For 2023 as a whole, while real GDP rose by 0.20%, real GDP per head fell by 0.67%. In the last two quarters of 2023, while real GDP fell by 0.1% and 0.3% respectively, real GDP per head fell by 0.4% and 0.6%, respectively, having already fallen in each of the previous five quarters. Chart 1 shows real GDP growth and real GDP growth per head from 2007 to 2023 (click here for a PowerPoint). As you can see, given population growth, real GDP per head has consistently grown slower than real GDP.

Long-term trends.
If we are assessing the UK’s potential for growth in GDP, rather than the immediate past, it is useful to look at GDP growth over a longer period. Looking at past trend growth rates and explaining them can give us an indication of the likely future path of the growth in GDP – at least in the absence of a significant change in underlying economic factors. Since 2007, the average annual rate of growth of real GDP has been only 1.1% and that of real GDP per head a mere 0.4%.

This compares unfavourably with the period from 1994 to 2007, when the average annual rate of growth of real GDP was 3.0% and that of real GDP per head was 2.5%.

This is illustrated in Chart 2 (click here for a PowerPoint). The chart also projects the growth rate in GDP per head of 2.5% forward from 2007 to 2023. Had this growth rate been achieved since 2007, GDP per head in 2023 would have been 41.4% higher than it actually was.

It is not only the UK that has seen low growth over the past 15 years compared to previous years. It has achieved a similar average annual growth rate over the period to Germany (1.1%), lower rates than the USA (1.8%) and Canada (1.6%), but higher than France (0.9%) and Japan (0.4%).

Low investment
A key determinant of economic growth is investment. Since 2008, the UK has invested an average of 17.3% of GDP. This is the lowest of the G7 countries and compares with 24.9% in Japan, 23.7% in Canada, 23.5% in France, 21.3% in Germany, 20.4% in the USA and 19.1% in Italy. If UK growth is to recover strongly over the longer term, the rate of investment needs to increase, both private and public. Of course, investment has to be productive, as the key underlying determinant of economic growth is the growth in productivity.

Low productivity growth
This is a key issue for the government – how to encourage a growth in productivity. The UK’s record of productivity growth has been poor since 2008. The period from 1996 to 2006 saw an average annual growth in labour productivity of 6.4%. Since then, however, labour productivity has grown by an average annual rate of only 0.3%. This is illustrated in Chart 3 (click here for a PowerPoint). If the pre-2007 rate had continued to the end of 2023, labour productivity would be 189% higher. This would have made GDP per head today substantially higher. If GDP per head is to grow faster, then the underlying issue of a poor growth in labour productivity will need to be addressed.

Inequality and poverty
Then there is the issue of the distribution of national income. The UK has a high level of income inequality. In 2022 (the latest data available), the disposable income of the poorest 20% of households was £13 218; that for the richest 20% was £83 687. The top 1% of income earners’ share of disposable income is just under 9.0%. (Note that disposable income is after income taxes have been deducted and includes cash benefits and is thus more equally distributed than original income.)

The poorest 20% have been hit badly by the cost-of-living crisis, with many having to turn to food banks and not being able to afford to heat their homes adequately. They are also particularly badly affected by the housing crisis, with soaring and increasingly unaffordable rents. Many are facing eviction and others live in poor quality accommodation. Simple growth rates in real GDP do not capture such issues.

Limited scope for growth policies
Fiscal policy has an important role in stimulating growth. Conservatives stress tax cuts as a means of incentivising entrepreneurs and workers. Labour stresses the importance of public investment in infrastructure, health, education and training. Either way, such stimulus policy requires financing.

But, public finances have been under pressure in recent years, especially from COVID support measures. General government gross debt has risen from 27.7% of GDP in 1990/91 to 99.4% in 2022/23. This is illustrated in Chart 4 (click here for a PowerPoint). Although it has fallen from the peak of 107.6% of GDP in 2020/21 (during the COVID pandemic), according to the Office for Budget Responsibility it is set to rise again, peaking at 103.8% in 2026/27. There is thus pressure on the government to reduce public-sector borrowing, not increase it. This makes it difficult to finance public investment or tax cuts.

Measuring living standards

Questions about real GDP have huge political significance. Is the economy in recession? What will happen to growth in GDP over the coming months. Why has growth been sluggish in recent years? The implication is that if GDP rises, living standards will rise; if GDP falls, living standards will fall. But changes in GDP, even if expressed in terms of real GDP and even if the distribution of GDP is taken into account, are only a proxy for living standards. GDP measures the market value of the output of goods and services and, as such, may not necessarily be a good indicator of living standards, let alone well-being.

Produced goods and services that are not part of GDP
The output of some goods and services goes unrecorded. As we note in Economics, 11e (section 15.2), “If you employ a decorator to paint your living room, this will be recorded in the GDP statistics. If, however, you paint the room yourself, it will not. Similarly, if a childminder is employed by parents to look after their children, this childcare will form part of GDP. If, however, a parent stays at home to look after the children, it will not.

The exclusion of these ‘do-it-yourself’ and other home-based activities means that the GDP statistics understate the true level of production in the economy. If over time there is an increase in the amount of do-it-yourself activities that people perform, the figures will also understate the rate of growth of national output.” With many people struggling with the cost of living, such a scenario is quite likely.

There are also activities that go unrecorded in the ‘underground’ or ‘shadow’ economy: unemployed people doing casual jobs for cash in hand that they do not declare to avoid losing benefits; people doing extra work outside their normal job and not declaring the income to evade taxes; builders doing work for cash to save the customer paying VAT.

Externalities
Large amounts of production and consumption involve external costs to the environment and to other people. These externalities are not included in the calculation of GDP.

If external costs increase faster than GDP, then GDP growth will overstate the rise in living standards. If external costs rise more slowly than GDP (or even fall), then GDP growth will understate the rise in living standards. We assume here that living standards include social and environmental benefits and are reduced by social and environmental costs.

Human costs of production
If production increases as a result of people having to work harder or longer hours, its net benefit will be less. Leisure is a desirable good, and so too are pleasant working conditions, but these items are not included in the GDP figures.

The production of certain ‘bads’ leads to an increase in GDP
Some of the undesirable effects of growth may in fact increase GDP! Take the examples of crime, stress-related illness and environmental damage. Faster growth may lead to more of all three. But increased crime leads to more expenditure on security; increased stress leads to more expenditure on health care; and increased environmental damage leads to more expenditure on environmental clean-up. These expenditures add to GDP. Thus, rather than reducing GDP, crime, stress and environmental damage actually increase it.

Alternative approaches to measuring production and income

There have been various attempts to adjust GDP (actual or potential) to make it a better indicator of total production or income or, more generally, of living standards.

Index of Sustainable Economic Welfare (ISEW)
As Case Study 9.20 in the Essentials of Economics (9e) website explains, ISEW starts with consumption, as measured in GDP, and then makes various adjustments to account for factors that GDP ignores. These include:

  • Inequality: the greater the inequality, the more the figure for consumption is reduced. This is based on the assumption of a diminishing marginal utility of income, such that an additional pound is worth less to a rich person than to a poor person.
  • Household production (such as childcare, care for the elderly or infirm, housework and various do-it-yourself activities). These ‘services of household labour’ add to welfare and are thus entered as a positive figure.
  • Defensive expenditures. This is spending to offset the adverse environmental effects of economic growth (e.g. asthma treatment for sufferers whose condition arises from air pollution). Such expenditures are taken out of the calculations.
  • ‘Bads’ (such as commuting costs). The monetary expense entailed is entered as a negative figure (to cancel out its measurement in GDP as a positive figure) and then an additional negative element is included for the stress incurred.
  • Environmental costs. Pollution is entered as a negative figure.
  • Resource depletion and damage. This too is given a negative figure, in just the same way that depreciation of capital is given a negative figure when working out net national income.

Productive Capacities Index (PCI)
In 2023, the United Nations Conference on Trade and Development (UNCTAD) launched a new index to provide a better measure of countries’ economic potential. What the index focuses on is not actual GDP but potential output: in other words, ‘countries’ abilities to produce goods and deliver services’.

The PCI comprises 42 indicators under eight headings: human capital, natural capital, information and communication technology (ICT), structural change (the movement of labour and other productive resources from low-productivity to high-productivity economic activities), transport infrastructure, institutions (political, legal and financial) and the private sector (ease of starting businesses, availability of credit, ease of cross-border trade, etc.). It covers 194 economies since 2000 (currently to 2022). As UNCTAD states, ‘The PCI can help diagnose the areas where countries may be leading or falling behind, spotlighting where policies are working and where corrective efforts are needed.’ Chart 5 shows the PCI for various economies from 2000 to 2022 (click here for a PowerPoint).

The UK, with a PCI of 65.8 in 2022, compares relatively favourably with other developed countries. The USA’s PCI is somewhat higher (69.2), as is The Netherlands’ (69.8); Germany’s is the same (65.8); France’s is somewhat lower (62.8). The world average is 46.8. For developing countries, China is relatively high (60.7); India’s (45.3) is close to the developing country average of 43.4.

Looked at over a longer time period, the UK’s performance is relatively weak. The PCI in 2022 (65.8) was below that in 2006 (66.9) and below the peak of 67.6 in 2018.

GDP and well-being

GDP is often used as a proxy for well-being. If real GDP per head increases, then it is assumed that well-being will increase. In practice, people’s well-being depends on many factors, not just their income, although income is one important element.

The UK Measuring National Well-being (MNW) programme
The MNW programme was established in 2010. This has resulted in Office for National Statistics developing new measures of national well-being. The ONS produces statistical bulletins and datasets with its latest results.

The aim of the programme is to provide a ‘fuller picture’ of how society is doing beyond traditional economic indicators. There are currently 44 indicators. These are designed to describe ‘how we are doing as individuals, as communities and as a nation, and how sustainable this is for the future’. The measures fall within a number of categories, including: personal well-being, relationships, health, what we do, where we live, personal finance, the economy, education and skills, governance and the natural environment.

Conclusions

In the light of the limitations of GDP as a measure of living standards, what can we make of the news that the UK entered recession in the last half of 2023? It does show that the economy is sluggish and that the production of goods and services that are included in the GDP measure declined.

But to get a fuller assessment of the economy, it is important to take a number of other factors into account. If we are to go further and ask what has happened to living standards or to well-being, then we have to look at a range of other factors. If we are to ask what the latest figures tell us about what is likely to happen in the future to production, living standards and well-being, then we will need to look further still.

Articles

Data and Analysis

Questions

  1. Using GDP and other data, summarise the outlook for the UK economy.
  2. Why is GDP so widely used as an indicator of living standards?
  3. Explain the three methods of measuring GDP?
  4. What key contributors to living standards are omitted from GDP?
  5. What are the ONS Satellite Accounts? Are they useful for measuring living standards?
  6. Assess the UK’s economic potential against each of the eight category indices in the Productive Capacities Index.
  7. What is the difference between ‘living standards’ and ‘well-being’?

Artificial intelligence is having a profound effect on economies and society. From production, to services, to healthcare, to pharmaceuticals; to education, to research, to data analysis; to software, to search engines; to planning, to communication, to legal services, to social media – to our everyday lives, AI is transforming the way humans interact. And that transformation is likely to accelerate. But what will be the effects on GDP, on consumption, on jobs, on the distribution of income, and human welfare in general? These are profound questions and ones that economists and other social scientists are pondering. Here we look at some of the issues and possible scenarios.

According to the Merrill/Bank of America article linked below, when asked about the potential for AI, ChatGPT replied:

AI holds immense potential to drive innovation, improve decision-making processes and tackle complex problems across various fields, positively impacting society.

But the magnitude and distribution of the effects on society and economic activity are hard to predict. Perhaps the easiest is the effect on GDP. AI can analyse and interpret data to meet economic goals. It can do this much more extensively and much quicker than using pre-AI software. This will enable higher productivity across a range of manufacturing and service industries. According to the Merrill/Bank of America article, ‘global revenue associated with AI software, hardware, service and sales will likely grow at 19% per year’. With productivity languishing in many countries as they struggle to recover from the pandemic, high inflation and high debt, this massive boost to productivity will be welcome.

But whilst AI may lead to productivity growth, its magnitude is very hard to predict. Both the ‘low-productivity future’ and the ‘high-productivity future’ described in the IMF article linked below are plausible. Productivity growth from AI may be confined to a few sectors, with many workers displaced into jobs where they are less productive. Or, the growth in productivity may affect many sectors, with ‘AI applied to a substantial share of the tasks done by most workers’.

Growing inequality?

Even if AI does massively boost the growth in world GDP, the distribution is likely to be highly uneven, both between countries and within countries. This could widen the gap between rich and poor and create a range of social tensions.

In terms of countries, the main beneficiaries will be developed countries in North America, Europe and Asia and rapidly developing countries, largely in Asia, such as China and India. Poorer developing countries’ access to the fruits of AI will be more limited and they could lose competitive advantage in a number of labour-intensive industries.

Then there is growing inequality between the companies controlling AI systems and other economic actors. Just as companies such as Microsoft, Apple, Google and Meta grew rich as computing, the Internet and social media grew and developed, so these and other companies at the forefront of AI development and supply will grow rich, along with their senior executives. The question then is how much will other companies and individuals benefit. Partly, it will depend on how much production can be adapted and developed in light of the possibilities that AI presents. Partly, it will depend on competition within the AI software market. There is, and will continue to be, a rush to develop and patent software so as to deliver and maintain monopoly profits. It is likely that only a few companies will emerge dominant – a natural oligopoly.

Then there is the likely growth of inequality between individuals. The reason is that AI will have different effects in different parts of the labour market.

The labour market

In some industries, AI will enhance labour productivity. It will be a tool that will be used by workers to improve the service they offer or the items they produce. In other cases, it will replace labour. It will not simply be a tool used by labour, but will do the job itself. Workers will be displaced and structural unemployment is likely to rise. The quicker the displacement process, the more will such unemployment rise. People may be forced to take more menial jobs in the service sector. This, in turn, will drive down the wages in such jobs and employers may find it more convenient to use gig workers than employ workers on full- or part-time contracts with holidays and other rights and benefits.

But the development of AI may also lead to the creation of other high-productivity jobs. As the Goldman Sachs article linked below states:

Jobs displaced by automation have historically been offset by the creation of new jobs, and the emergence of new occupations following technological innovations accounts for the vast majority of long-run employment growth… For example, information-technology innovations introduced new occupations such as webpage designers, software developers and digital marketing professionals. There were also follow-on effects of that job creation, as the boost to aggregate income indirectly drove demand for service sector workers in industries like healthcare, education and food services.

Nevertheless, people could still lose their jobs before being re-employed elsewhere.

The possible rise in structural unemployment raises the question of retraining provision and its funding and whether workers would be required to undertake such retraining. It also raises the question of whether there should be a universal basic income so that the additional income from AI can be spread more widely. This income would be paid in addition to any wages that people earn. But a universal basic income would require finance. How could AI be taxed? What would be the effects on incentives and investment in the AI industry? The Guardian article, linked below, explores some of these issues.

The increased GDP from AI will lead to higher levels of consumption. The resulting increase in demand for labour will go some way to offsetting the effects of workers being displaced by AI. There may be new employment opportunities in the service sector in areas such as sport and recreation, where there is an emphasis on human interaction and where, therefore, humans have an advantage over AI.

Another issue raised is whether people need to work so many hours. Is there an argument for a four-day or even three-day week? We explored these issues in a recent blog in the context of low productivity growth. The arguments become more compelling when productivity growth is high.

Other issues

AI users are not all benign. As we are beginning to see, AI opens the possibility for sophisticated crime, including cyberattacks, fraud and extortion as the technology makes the acquisition and misuse of data, and the development of malware and phishing much easier.

Another set of issues arises in education. What knowledge should students be expected to acquire? Should the focus of education continue to shift towards analytical skills and understanding away from the simple acquisition of knowledge and techniques. This has been a development in recent years and could accelerate. Then there is the question of assessment. Generative AI creates a range of possibilities for plagiarism and other forms of cheating. How should modes of assessment change to reflect this problem? Should there be a greater shift towards exams or towards project work that encourages the use of AI?

Finally, there is the issue of the sort of society we want to achieve. Work is not just about producing goods and services for us as consumers – work is an important part of life. To the extent that AI can enhance working life and take away a lot of routine and boring tasks, then society gains. To the extent, however, that it replaces work that involved judgement and human interaction, then society might lose. More might be produced, but we might be less fulfilled.

Articles

Questions

  1. Which industries are most likely to benefit from the development of AI?
  2. Distinguish between labour-replacing and labour-augmenting technological progress in the context of AI.
  3. How could AI reduce the amount of labour per unit of output and yet result in an increase in employment?
  4. What people are most likely to (a) gain, (b) lose from the increasing use of AI?
  5. Is the distribution of income likely to become more equal or less equal with the development and adoption of AI? Explain.
  6. What policies could governments adopt to spread the gains from AI more equally?

The past decade or so has seen large-scale economic turbulence. As we saw in the blog Fiscal impulses, governments have responded with large fiscal interventions. The COVID-19 pandemic, for example, led to a positive fiscal impulse in the UK in 2020, as measured by the change in the structural primary balance, of over 12 per cent of national income.

The scale of these interventions has led to a significant increase in the public-sector debt-to-GDP ratio in many countries. The recent interest rates hikes arising from central banks responding to inflationary pressures have put additional pressure on the financial well-being of governments, not least on the financing of their debt. Here we discuss these pressures in the context of the ‘r g’ rule of sustainable public debt.

Public-sector debt and borrowing

Chart 1 shows the path of UK public-sector net debt and net borrowing, as percentages of GDP, since 1990. Debt is a stock concept and is the result of accumulated flows of past borrowing. Net debt is simply gross debt less liquid financial assets, which mainly consist of foreign exchange reserves and cash deposits. Net borrowing is the headline measure of the sector’s deficit and is based on when expenditures and receipts (largely taxation) are recorded rather than when cash is actually paid or received. (Click here for a PowerPoint of Chart 1)

Chart 1 shows the impact of the fiscal interventions associated with the global financial crisis and the COVID-19 pandemic, when net borrowing rose to 10 per cent and 15 per cent of GDP respectively. The former contributed to the debt-to-GDP ratio rising from 35.6 per cent in 2007/8 to 81.6 per cent in 2014/15, while the pandemic and subsequent cost-of-living interventions contributed to the ratio rising from 85.2 per cent in 2019/20 to around 98 per cent in 2023/24.

Sustainability of the public finances

The ratcheting up of debt levels affects debt servicing costs and hence the budgetary position of government. Yet the recent increases in interest rates also raise the costs faced by governments in financing future deficits or refinancing existing debts that are due to mature. In addition, a continuation of the low economic growth that has beset the UK economy since the global financial crisis also has implications for the burden imposed on the public sector by its debts, and hence the sustainability of the public finances. After all, low growth has implications for spending commitments, and, of course, the flow of receipts.

The analysis therefore implies that the sustainability of public-sector debt is dependent on at least three factors: existing debt levels, the implied average interest rate facing the public sector on its debts, and the rate of economic growth. These three factors turn out to underpin a well-known rule relating to the fiscal arithmetic of public-sector debt. The rule is sometimes known as the ‘r g’ rule (i.e. the interest rate minus the growth rate).

Underpinning the fiscal arithmetic that determines the path of public-sector debt is the concept of the ‘primary balance’. This is the difference between the sector’s receipts and its expenditures less its debt interest payments. A primary surplus (a positive primary balance) means that receipts exceed expenditures less debt interest payments, whereas a primary deficit (a negative primary balance) means that receipts fall short. The fiscal arithmetic necessary to prevent the debt-to-GDP ratio rising produces the following stable debt equation or ‘r g’ rule:

On the left-hand side of the stable debt equation is the required primary surplus (PS) to GDP (Y) ratio. Moving to the right-hand side, the first term is the existing debt-to-GDP ratio (D/Y). The second term ‘r g’, is the differential between the average implied interest rate the government pays on its debt and the growth rate of the economy. These terms can be expressed in either nominal or real terms as this does not affect the differential.

To illustrate the rule consider a country whose existing debt-to-GDP ratio is 1 (i.e. 100 per cent) and the ‘r g’ differential is 0.02 (2 percentage points). In this scenario they would need to run a primary surplus to GDP ratio of 0.02 (i.e. 2 percent of GDP).

The ‘r g‘ differential

The ‘r g’ differential reflects macroeconomic and financial conditions. The fiscal arithmetic shows that these are important for the dynamics of public-sector debt. The fiscal arithmetic is straightforward when r = g as any primary deficit will cause the debt-to-GDP ratio to rise, while a primary surplus will cause the ratio to fall. The larger is g relative to r the more favourable are the conditions for the path of debt. Importantly, if the differential is negative (r < g), it is possible for the public sector to run a primary deficit, up to the amount that the stable debt equation permits.

Consider Charts 2 and 3 to understand how the ‘r g’ differential has affected debt sustainability in the UK since 1990. Chart 2 plots the implied yield on 10-year government bonds, alongside the annual rate of nominal growth (click here for a PowerPoint). As John explains in his blog The bond roller coaster, the yield is calculated as the coupon rate that would have to be paid for the market price of a bond to equal its face value. Over the period, the average annual nominal growth rate was 4.5 per cent, while the implied interest rate was almost identical at 4.6 per cent. The average annual rate of CPI inflation over this period was 2.8 per cent.

Chart 3 plots the ‘r g’ differential which is simply the difference between the two series in Chart 2, along with a 12-month rolling average of the differential to help show better the direction of the differential by smoothing out some of the short-term volatility (click here for a PowerPoint). The differential across the period is a mere 0.1 percentage points implying that macroeconomic and financial conditions have typically been neutral in supporting debt sustainability. However, this does mask some significant changes across the period.

We observe a general downward trend in the ‘r g’ differential from 1990 up to the time of the global financial crisis. Indeed between 2003 and 2007 we observe a favourable negative differential which helps to support the sustainability of public debt and therefore the well-being of the public finances. This downward trend of the ‘r g’ differential was interrupted by the financial crisis, driven by a significant contraction in economic activity. This led to a positive spike in the differential of over 7 percentage points.

Yet the negative differential resumed in 2010 and continued up to the pandemic. Again, this is indicative of the macroeconomic and financial environments being supportive of the public finances. It was, however, largely driven by low interest rates rather than by economic growth.

Consequently, the negative ‘r g’ differential meant that the public sector could continue to run primary deficits during the 2010s, despite the now much higher debt-to-GDP ratio. Yet, weak growth was placing limits on this. Chart 4 indeed shows that primary deficits fell across the decade (click here for a PowerPoint).

The pandemic and beyond

The pandemic saw the ‘r g’ differential again turn markedly positive, averaging 7 percentage points in the four quarters from Q2 of 2020. While the differential again turned negative, the debt-to-GDP ratio had also increased substantially because of large-scale fiscal interventions. This made the negative differential even more important for the sustainability of the public finances. The question is how long the negative differential can last.

Looking forward, the fiscal arithmetic is indeed uncertain and worryingly is likely to be less favourable. Interest rates have risen and, although inflationary pressures may be easing somewhat, interest rates are likely to remain much higher than during the past decade. Geopolitical tensions and global fragmentation pose future inflationary concerns and a further drag on growth.

As well as the short-term concerns over growth, there remain long-standing issues of low productivity which must be tackled if the growth of the UK economy’s potential output is to be raised. These concerns all point to the important ‘r g’ differential become increasingly less negative, if not positive. If so the fiscal arithmetic could mean increasingly hard maths for policymakers.

Articles

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Questions

  1. What is meant by each of the following terms: (a) net borrowing; (b) primary deficit; (c) net debt?
  2. Explain how the following affect the path of the public-sector debt-to-GDP ratio: (a) interest rates; (b) economic growth; (c) the existing debt-to-GDP ratio.
  3. Which factors during the 2010s were affecting the fiscal arithmetic of public debt positively, and which negatively?
  4. Discuss the prospects for the fiscal arithmetic of public debt in the coming years.
  5. Assume that a country has an existing public-sector debt-to-GDP ratio of 60 percent.
    (a) Using the ‘rule of thumb’ for public debt dynamics, calculate the approximate primary balance it would need to run in the coming year if the expected average real interest rate on the debt were 3 per cent and real economic growth were 2 per cent?
    (b) Repeat (a) but now assume that real economic growth is expected to be 4 per cent.
    (c) Repeat (a) but now assume that the existing public-sector debt-to-GDP ratio is 120 per cent.
    (d) Using your results from (a) to (c) discuss the factors that affect the fiscal arithmetic of the growth of public-sector debt.