At an event at the London Palladium on 6 December staged to protest against elements in the recent Budget, the Conservative leader, Kemi Badenoch, was asked whether she would introduce a flat-rate income tax if the Conservatives were returned to government. She replied that it was a very attractive idea. But first the economy would need ‘rewiring’ so that the tax burden could be lightened.
A flat-rate income tax system could take various forms, but the main feature is that there is a single rate of income tax. The specific rate would depend on how much the government wanted to raise. Also it could apply to just income tax, or to both income tax and social insurance (national insurance contributions (NICs) in the UK), or to income tax, social insurance and the withdrawal rate of social benefits. It could also apply to local/state taxes as well as national/federal taxes.
Take the simplest case of a flat-rate income tax with no personal allowance. In this system the marginal and average rate of tax is the same for everyone. This is known as a proportional tax.
Most countries have a progressive income tax system. This normally involves personal allowances (i.e. a zero rate up to a certain level of income) and then various tax bands, with the marginal rate rising when particular tax thresholds are reached. In England, Wales and Northern Ireland, there are three tax bands: 20%, 40% and 45%. Thus the higher a person’s income is, the higher their average rate of tax.
A regressive tax, by contrast, would be one where the average rate of tax fell as incomes rose. The extreme case of a regressive tax would be a lump-sum tax (such as a TV or other licence), which would be same absolute amount for everyone liable to it, irrespective of their income. This was the case with the ‘poll tax’ (or Community Charge, to give it its official title), introduced by Margaret Thatcher’s government in 1989 in Scotland and 1990 in the rest of the UK. It was a local tax, with each taxpayer taxed the same fixed sum, with the precise amount being set by each local authority. After protests and riots, it was replaced in 1993 by the current system of local taxation (Council Tax) based on property values in bands.
Figures 1 and 2 illustrate these different categories of tax: see Figure 11.12 in Economics, 12th edition. (Click here for a PowerPoint.) Income taxes in most countries are progressive, although just how progressive depends on the differences between the tax bands and the size of personal tax-free allowances. A flat-rate income tax with no allowances is shown by the black line in each diagram, the slope in Figure 1 and the height in Figure 2 depending on the tax rate.
Arguments for a flat-rate income tax
Generally, arguments in favour of flat-rate taxes come from the political right. The two main arguments in favour are tax simplification and incentives.
Advocates argue that a flat tax system makes tax collection easier and makes tax evasion harder. If there are no exemptions, then it can be easier to check that people are paying their taxes and working out the correct amount they owe. It is argued that, in contrast, high tax rates on top earners can encourage tax evasion.
Flat taxes can also be part of a drive to reduce the size of the informal economy. As the VoxEU article states:
Unlike progressive taxes, which include complex and numerous exceptions left to the tax collectorsâ discretion, the flat tax is clear cut. In combination with the low rate, its simplicity considerably reduces the stimuli for being informal.
Several post-communist countries in Eastern Europe adopted flat taxes, but for most they were seen as a temporary measure to reduce the informal sector and clamp down on tax evasion. Most have now adopted progressive taxes, with the exceptions of Bulgaria and until recently Russia.
The second major argument is that lower taxes for higher earners, especially for entrepreneurs, can act as a positive incentive. People work harder and there is more investment. The argument here is that the positive substitution effect from the lower tax (work is more profitable now and hence people substitute work for leisure) is greater than the negative income effect (lower taxes increase take-home pay so that people do not need to work so much now to maintain their standard of living).
Then there is the question of tax evasion. With high rates of income tax for top earners, such people may employ accountants to exploit tax loopholes and hide earnings. This could be seen as highly unfair by middle-income earners who are still paying relatively high rates of tax. Even though a move to flat taxes is likely to mean a cut in tax rates for high earners, the tax take from them could be higher. There is evidence that post-communist and developing countries that have adopted flat taxes have found an increase in tax revenues as evasion is harder.
The Laffer curve is often used to illustrate such arguments that high top tax rates can lead to lower tax revenue. Professor Art Laffer was one of President Reaganâs advisers during his first administration (1981â4): see Box 11.3 in Economics, 11th edition. Laffer was a strong advocate of income tax cuts, arguing that substantial increases in output would result and that tax revenues could consequently increase.
The Laffer curve in Figure 3 shows tax revenues increasing as the tax rate increases – but only up to a certain tax rate (t1). Thereafter, tax rates become so high that the resulting fall in output more than offsets the rise in tax rate. When the tax rate reaches 100 per cent, the revenue will once more fall to zero, since no one will bother to work. (Click here for a PowerPoint)
However, as Box 11.3 explains, evidence suggests that tax rates in most countries were well below t1 in the 1980s and certainly are now, given the cuts in income tax rates that have been made around the world over the past 20 years.
Arguments against flat-rate income taxes
The main argument against moving from a progressive to a flat-rate income tax in an advanced country, such as the UK, is that is would involve a large-scale redistribution of income from the poor to the rich. If the tax were designed to raise the same amount of revenue as at present, those on low incomes would pay more tax than now, as their tax rate would rise to the new flat rate. Those on high incomes would pay less tax, as their marginal rate would fall to the new flat rate.
If a new flat-rate tax in the UK also replaced national insurance contributions (NICs), then the effect would be less extreme as NICs are currently initially progressive, as there is a personal allowance before the 8% rate is applied (on incomes above ÂŁ12 570 in 2024/25). But above a higher NI threshold (ÂŁ50 270 in 2024/25), the marginal rate drops to 2%, making it a regressive tax beyond that level. Figure 4 shows tax and NI rates in England, Wales and Northern Ireland for 2024/25. (Click here for a PowerPoint.)
Nevertheless, even if a new flat-rate tax replaced NICs as well as varying rates of income tax, it would still involve a large-scale redistribution from low-income earners to high-income earners. The effect would be mitigated somewhat if personal allowances were raised so that the tax only applied to mid-to-higher incomes. Then the redistribution would be from middle-income earners to high-income earners and also somewhat to low-income earners: i.e. those below, or only a little above, the new higher personal allowance. If, on the other hand, personal allowances were scrapped so that the flat tax applied to all incomes, then there would be a massive redistribution from people on low incomes, including very low incomes, to those on high incomes.
One of the arguments used to justify a flat-rate tax is that its simplicity would ensure greater compliance. But in an advanced country, compliance is high, except, perhaps, for those on very high incomes. Most people in the UK and many other countries, have tax deducted automatically from their wages. People cannot avoid such taxes.
As far as the self-employed are concerned, they file tax returns online and the software automatically works out the tax due. There are no complex calculations that have to be performed by the individual. There is come scope for tax evasion by charging various expenditures to the business that are really personal spending, but the tax authorities can ask for evidence and sometimes do, with penalties for false claims.
What tax evasion does take place, could still do so with a flat tax. At a rate of, say, 20%, it would still be financially beneficial for a dishonest person to lie if they could get way with it.
Conclusions
If the government did try to introduce a flat-rate income tax, there would probably be an outcry. Also, as some rich people would gain a very large amount of money, the number of people gaining would be lower than the number losing if the total revenue raised were to remain the same. In other words, it would be politically difficult to achieve if the number of losers exceeded the number of gainers.
It is true that if the top rate of income tax were very high, then reducing it might bring in more revenue. But at 45%, or 47% if you include NICs, the top marginal rate in the UK is relatively low compared with other countries. In 2024, the UK had the second lowest top rate of tax out of Western European countries (behind Norway and Switzerland) and only the 16th highest out of 33 European countries when Central and Eastern European countries are also included (see the final ink below under ‘Information’). Reducing the UK’s top rate would be unlikely to bring in more revenue and would redistribute income to high-income earners.
Articles
- Flat tax rate is an âattractive ideaâ, Kemi Badenoch says
The Guardian, Helena Horton (16/12/24)
- Tories could move to a system of ‘flat taxes’ where everyone pays the same rate, Kemi Badenoch indicates
Mail Online, Jason Groves (16/12/24)
- Flat Tax: What It Is and How It Works
Investopedia (8/11/24)
- Flat tax reform in Ukraine: Lessons from Bulgaria
VoxEU, Simeon Djankov (11/12/22)
- Why not… introduce a flat tax?
BBC News, Brian Wheeler (3/7/13)
- Five country cases illustrate how best to improve tax collection
IMF Finance and Development Magazine, Bernardin Akitoby (March 2018)
- Flat taxes and the desire to increase inequality
Funding the Future blog, Richard Murphy (15/5/14)
- Options for a UK âflat taxâ: some simple simulations
IFS Briefing Note, Stuart Adam and James Browne (August 2006)
- Are the Flat Tax Folks Winning â or Have They Already Won?
Inequality.org, Sam Pizzigati (20/4/24)
Information
Questions
- Distinguish between progressive, proportional, regressive and lump-sum taxes. Into which of these four categories would you place (a) VAT, (b) motor fuel duties, (c) tobacco duties, (d) road-fund licence, (e) inheritance tax? Where the answer is either progressive or regressive, how progressive or regressive are they?
- What are the income and substitution effects of changing tax rates?
- Explain the Laffer curve and consider whether it is likely to be symmetrical.
- Discuss the desirability of having a flat tax set at a relatively high rate (say 25%) with tax-free personal allowances up to the level of income considered to be the poverty threshold. (In the UK the poverty threshold is often defined as 60% of median income.)
- In the London Palladium event where Kemi Badenoch stated that flat taxes were a very attractive idea, she also said that ‘We cannot afford flat taxes where we are now. We need to make sure we rewire our economy so that we can lighten the burden of tax and the regulation on individuals and on those businesses that are just starting out, in particular’. What do you think she meant by this?
- Find out what Bulgaria’s experience of a flat tax of 10% has been.
Global long-term economic growth has slowed dramatically since the financial crisis of 2007â8. This can be illustrated by comparing the two 20-year periods 1988 to 2007 and 2009 to 2028 (where IMF forecasts are used for 2024 to 2028: see WEO Database under the Data link below). Over the two periods, average annual world growth fell from 3.8% to 3.1%. In advanced countries it fell from 2.9% to 1.6% and in developing countries from 4.8% to 4.3%. In the UK it fell from 2.4% to 1.2%, in the USA from 3.1% to 1.8% and in Japan from 1.9% to 0.5%.
In the UK, labour productivity growth in the production industries was 6.85% per annum from 1998 to 2006. If this growth rate had been maintained, productivity would have been 204% higher by the end of 2023 than it actually was. This is shown in the chart (click here for a PowerPoint).
The key driver of long-term economic growth is labour productivity, which can best be measured by real GDP per hour worked. This depends on three things: the amount of capital per worker, the productivity of this capital and the efficiency of workers themselves – the latter two giving total factor productivity (TFP). Productivity growth has slowed, and with it the long-term rate of economic growth.
If we are measuring growth in output per head of the population, as opposed to simple growth in output, then another important factor is the proportion of the population that works. With ageing populations, many countries are facing an increase in the proportion of people not working. In most countries, these demographic pressures are likely to increase.
A major determinant of long-term economic growth and productivity is investment. Investment has been badly affected by crises, such as the financial crisis and COVID, and by geopolitical tensions, such as the war in Ukraine and tensions between the USA and China and potential trade wars. It has also been adversely affected by government attempts to deal with rising debt caused by interventions following the financial crisis and COVID. The fiscal squeeze and, more recently higher interest rates, have dampened short-term growth and discouraged investment, thereby dampening long-term growth.
Another factor adversely affecting productivity has been a lower growth of allocative efficiency. Competition in many industries has declined as the rate of new firms entering and exiting markets has slowed. The result has been an increase in concentration and a growth in supernormal profits.
In the UK’s case, growth prospects have also been damaged by Brexit. According to Bank of England and OBR estimates, Brexit has reduced productivity by around 4% (see the blog: The costs of Brexit: a clearer picture). For many companies in the UK, Brexit has hugely increased the administrative burdens of trading with the EU. It has also reduced investment and led to a slower growth in the capital stock.
The UK’s poor productivity growth over many yeas is examined in the blog The UKâs poor productivity record.
Boosting productivity
So, how could productivity be increased and what policies could help the process?
Artificial intelligence. One important driver of productivity growth is technological advance. The rapid advance in AI and its adoption across much of industry is likely to have a dramatic effect on working practices and output. Estimates by the IMF suggest that some 40% of jobs globally and 60% in advanced countries could be affected – some replaced and others complemented and enhanced by AI. The opportunities for raising incomes are huge, but so too are the dangers of displacing workers and deepening inequality, as some higher-paid jobs are enhanced by AI, while many lower paid jobs are little affected and other jobs disappear.
AI is also likely to increase returns to capital. This may help to drive investment and further boost economic growth. However, the increased returns to capital are also likely to exacerbate inequality.
To guard against the growth of market power and its abuse, competition policies may need strengthening to ensure that the benefits of AI are widely spread and that new entrants are encouraged. Also training and retraining opportunities to allow workers to embrace AI and increase their mobility will need to be provided.
Training. And it is not just training in the use of AI that is important. Training generally is a key ingredient in encouraging productivity growth. In the UK, there has been a decline in investment in adult education and training, with a 70% reduction since the early 2000s in the number of adults undertaking publicly-funded training, and with average spending on training by employers decreasing by 27% per trainee since 2011. The Institute for Fiscal Studies identifies five main policy levers to address this: “public funding of qualifications and skills programmes, loans to learners, training subsidies, taxation of training and the regulation of training” (see link in articles below).
Competition. Another factor likely to enhance productivity is competition, both internationally and within countries. Removing trade restrictions could boost productivity growth; erecting barriers to protect inefficient domestic industry would reduce it.
Investment. Policies to encourage investment are also key to productivity growth. Private-sector investment can be encouraged by tax incentives. For example, in the UK the Annual Investment Allowance allows businesses to claim 100% of the cost of plant and machinery up to ÂŁ1m in the year it is incurred. However, for tax relief to produce significant effects on investment, companies need to believe that the policy will stay and not be changed as economic circumstances or governments change.
Public-sector investment is also key. Good road and rail infrastructure and public transport are vital in encouraging private investment and labour mobility. And investment in health, education and training are a key part in encouraging the development of human capital. Many countries, the UK included, cut back on public-sector capital investment after the financial crisis and this has had a dampening effect on economic growth.
Regional policy. External economies of scale could be encouraged by setting up development areas in various regions. Particular industries could be attracted to specific areas, where local skilled workers, managerial expertise and shared infrastructure can benefit all the firms in the industry. These ‘agglomeration economies’ have been very limited in the UK compared with many other countries with much stronger regional economies.
Changing the aims and governance of firms. A change in corporate structure and governance could also help to drive investment and productivity. According to research by the think tank, Demos (see the B Lab UK article and the second report below), if legislation required companies to consider the social, economic and environmental impact of their business alongside profitability, this could have a dramatic effect on productivity. If businesses were required to be ‘purpose-led’, considering the interests of all their stakeholders, this supply-side reform could dramatically increase growth and well-being.
Such stakeholder-governed businesses currently outperform their peers with higher levels of investment, innovation, product development and output. They also have higher levels of staff engagement and satisfaction.
Articles
- World Must Prioritize Productivity Reforms to Revive Medium-Term Growth
IMF Blog, Nan Li and Diaa Noureldin (10/4/24)
- Why has productivity slowed down?
Oxford Martin School News, Ian Goldin, Pantelis Koutroumpis, François Lafond and Julian Winkler (18/3/24)
- How can the UK revive its ailing productivity?
Economics Observatory, Michelle Kilfoyle (14/3/24)
- With the UK creeping out of recession, hereâs an economistâs brief guide to improving productivity
The Conversation, Nigel Driffield (13/3/24)
- UK economy nearly a third smaller thanks to âcatastrophically badâ productivity slowdown
City A.M., Chris Dorrell (12/3/24)
- Can AI help solve the UKâs public sector productivity puzzle?
City A.M., Chris Dorrell (11/3/24)
- AI Will Transform the Global Economy. Letâs Make Sure it Benefits Humanity
IMF Blog, Kristalina Georgieva (14/1/24)
- Productivity and Investment: Time to Manage the Project of Renewal
NIESR, Paul Fisher (12/3/24)
- Productivity trends using key national accounts indicators
Eurostat (15/3/24)
- New report says change to company law could add ÂŁ149bn to the UK economy
B Lab UK (28/11/23)
- Investment in training and skills: Green Budget Chapter 9
Institute for Fiscal Studies, Imran Tahir (12/10/23)
Reports
Data
Questions
- Why has global productivity growth been lower since 2008 than before 2008?
- Why has the UK’s productivity growth been lower than many other advanced economies?
- How does the short-run macroeconomic environment affect long-term growth?
- Find out why Japan’s productivity growth has been so poor compared with other countries.
- What are likely to be the most effective means of increasing productivity growth?
- How may demand management policies affect the supply side of the economy?
- How may the adoption of an ESG framework by companies for setting objectives affect productivity growth?
The UK Chancellor of the Exchequer, Jeremy Hunt, delivered his Spring Budget on 6 March 2024. In his speech, he announced a cut in national insurance (NI): a tax paid by workers on employment or self-employment income. The main rate of NI for employed workers will be cut from 10% to 8% from 6 April 2024. This follows a cut this January from 12% to 10%. The rate for the self-employed will be cut from 9% to 6% from 6 April. These will be the new marginal rates from the NI-free threshold of ÂŁ12 750 to the higher threshold of ÂŁ50 270 (above which the marginal rate is 2% and remains unchanged). Unlike income tax, NI applies only to income from work (employment or self-employment) and does not include pension incomes, rent, interest and dividends.
The cuts will make all employed and self-employed people earning more than ÂŁ12 750 better off than they would have been without them. For employees on average incomes of ÂŁ35 000, the two cuts will be worth ÂŁ900 per year.
But will people end up paying less direct tax (income tax and NI) overall than in previous years? The answer is no because of the issue of fiscal drag (see the blog, Inflation and fiscal drag). Fiscal drag refers to the dampening effect on aggregate demand when higher incomes lead to a higher proportion being paid in tax. It occurs when there is a faster growth in incomes than in tax thresholds. This means that (a) the tax-free allowance accounts for a smaller proportion of people’s incomes and (b) a higher proportion of many people’s incomes will be paid at the higher income tax rate. Fiscal drag is especially acute when thresholds are frozen, when inflation is rapid and when real incomes rise rapidly.
Tax thresholds have been frozen since 2021 and the government plans to keep them frozen until 2028. This is illustrated in the following table.
According to the Institute for Fiscal Studies, the net effect of fiscal drag means that for every ÂŁ1 given back to employed and self-employed workers by the NI cuts, ÂŁ1.30 will have been taken away as a result of freezing thresholds between 2021 and 2024. This will rise to ÂŁ1.90 in 2027/28.
Tax revenues are still set to rise as a percentage of GDP. This is illustrated in the chart. Tax revenues were 33.2% of GDP in 2010/11. By 2022/23 the figure had risen to 36.3%. With neither of the two changes to NI (January 2024 and April 2024), the OBR forecasts that the figure would rise to 37.7% by 2028/29 – the top dashed line in the chart. After the first cut, announced in November, it forecasts a smaller rise to 37.3% – the middle dashed line. After the second cut, announced in the Spring Budget, the OBR cut the forecast figure to 37.1% – the bottom dashed line. (Click here for a PowerPoint of the chart.)
As you can see from the chart, despite the cut in NI rates, the fiscal drag from freezing thresholds means that tax revenue as a percentage of GDP is still set to rise.
Articles
Information, data and analysis
Questions
- Would fiscal drag occur with frozen nominal tax bands if there were zero real growth in incomes? Explain.
- Find out what happened to other taxes, benefits, reliefs and incentives in the 2024 Spring Budget. Assess their macroeconomic effect.
- If the government decides that it wishes to increase tax revenues as a proportion of GDP (for example, to fund increased government expenditure on infrastructure and socially desirable projects and benefits), examine the arguments for increasing personal allowances and tax bands in line with inflation but raising the rates of income tax in order to raise sufficient revenue?
- Distinguish between market-orientated and interventionist supply-side policies? Why do political parties differ in their approaches to supply-side policy?
- What is the Conservative government’s fiscal rule? Is the Spring Budget 2024 consistent with this rule?
- What policies were announced in the Spring Budget 2024 to increase productivity? Why is it difficult to estimate the financial outcome of such policies?
It’s two years since Russia invaded Ukraine. Western countries responded by imposing large-scale sanctions. These targeted a range of businesses, banks and other financial institutions, payments systems and Russian exports and imports. Some $1 trillion of Russian assets were frozen. Many Western businesses withdrew from Russia or cut off commercial ties. In addition, oil and gas imports from Russia have been banned by most developed countries and some developing countries, and a price cap of $60 per barrel has been imposed on Russian oil. What is more, sanctions have been progressively tightened over the past two years. For example, on the second anniversary of the invasion, President Biden announced more than 500 new sanctions against individuals and companies involved in military production and supply chains and in financing Russia’s war effort.
The economy in Russia has also been affected by large-scale emigration of skilled workers, the diversion of workers to the armed forces and the diversion of capital and workers to the armaments industry.
So has the economy of Russia been badly affected by sanctions and these other factors? The IMF in its World Economic Forecast of April 2022 predicted that the Russian economy would experience a steep, two-year recession. But, the Russian economy has fared much better than first predicted and the steep recession never materialised.
In this blog we look at Russia’s economic performance. First, we examine why the Russian economy seems stronger today than forecast two years ago. Then we look at its economic weaknesses directly attributable to the war.
Apparent resilience of the Russian economy
GDP forecasts have proved wrong. In April 2022, just after the start of the war, the IMF was forecasting that the Russian economy would decline by 8.5% in 2022 and by 2.3% in 2023 and grow by just 1.5% in 2024. In practice, the economy declined by only 1.2% in 2022 and grew by 3.0% in 2023. It is forecast by the IMF to grow by 2.6% in 2024. This is illustrated in the chart (click here for a PowerPoint).
Similarly, inflation forecasts have proved wrong. In April 2022, Russian consumer price inflation was forecast to be 21.3% in 2022 and 14.3% in 2023. In practice, inflation was 13.8% in 2022 and 7.4% in 2023. What is more, consumer spending in Russia has remained buoyant. In 2023, retail sales rose by 10.2% in nominal terms – a real rise of 2.8%. Wage growth has been strong and unemployment has remained low, falling from just over 4% in February 2022 to just under 3% today.
So why has the Russian economy seemingly weathered the war so successfully?
The first reason is that, unlike Ukraine, very little of its infrastructure has been destroyed. Even though it has lost a lot of its military capital, including 1120 main battle tanks and some 2000 other armoured vehicles, virtually all of its production capacity remains intact. What is more, military production is replacing much of the destroyed vehicles and equipment.
The second is that its economy started the war in a strong position economically. In 2021, it had a surplus on the current account of its balance of payments of 6.7% of GDP, reflecting large revenues from oil, gas and mineral exports. This compares with a G7 average deficit of 0.7%. It had fiscal surplus (net general government lending) of 0.8% of GDP. The G7 countries had an average deficit of 9.1% of GDP. Its gross general government debt was 16% of GDP. The G7’s was an average of 134%. This put Russia in a position to finance the war and gave it a considerable buffer against economic sanctions.
The third reason is that Russia has been effective in switching the destinations of exports and sources of imports. Trade with the West, Japan and South Korea has declined, but trade with China and various neutral countries, such as India have rapidly increased. Take the case of oil: in 2021, Russia exported 4.4 billion barrels of oil per day to the USA, the EU, the UK, Japan and South Korea. By 2023, this had fallen to just 0.6 billion barrels. By contrast, in 2021, it exported 1.9 billion barrels per day to China, India and Turkey. By 2023, this had risen to 4.9 billion. Although exports of natural gas have fallen by around 42% since 2021, Russian oil exports have remained much the same at around 7.4 million barrels per day (until a voluntary cut of 0.5 billion barrels per day in 2024 Q1 as part of an OPEC+ agreement to prop up the price of oil).
China is now a major supplier to Russia of components (some with military uses), commercial vehicles and consumer products (such as cars and electrical goods). Total trade with China (both imports and exports) was worth $147 billion in 2021. By 2023, this had risen to $240 billion.
The use of both the Chinese yuan and the Russian rouble (or ruble) has risen dramatically as a means of payment for Russian imports. Their share has risen from around 5% in 2021 (mainly roubles) to nearly 75% in 2023 (just over 37% in each currency). Switching trade and payment methods has helped Russia to circumvent many of the sanctions.
The fourth reason is that Russia has a strong and effective central bank. It has successfully used interest rates to control inflation, which is expected to fall from 7.4% in 2023 to under 5% this year and then to its target of 4% in subsequent years. The central bank policy rate was raised from 8.5% to 20% in February 2022. It then fell in steps to 7.5% in September 2022, where it remained until August 2023. It was then raised in steps to peak at 16% in December 2023, where it remains. There is a high level of confidence that the Russian central bank will succeed in bringing inflation back to target.
The fifth reason is that the war has provided a Keynesian stimulus to the economy. Military expenditure has doubled as a share of GDP – from 3.7% of GDP in 2021 to 7.5% in 2024. It now accounts for around 40% of government expenditure. The boost that this has given to production and employment has helped achieve the 3% growth rate in 2023, despite the dampening effect of a tight monetary policy.
Longer-term weaknesses
Despite the apparent resilience of the economy, there are serious weaknesses that are likely to have serious long-term effects.
There has been a huge decline in the labour supply as many skilled and professional workers have move abroad to escape the draft and as many people have been killed in battle. The shortage of workers has led to a rise in wages. This has been accompanied by a decline in labour productivity, which is estimated to have been around 3.6% in 2023.
Higher wages and lower productivity is putting a squeeze on firms’ profits. This is being exacerbated by higher taxes on firms to help fund the war. Lower profit reduces investment and is likely to have further detrimental effects on labour productivity.
Although Russia has managed to circumvent many of the sanctions, they have still had a significant effect on the supply of goods and components from the West. As sanctions are tightened further, so this is likely to have a direct effect on production and living standards. Although GDP is growing, non-military production is declining.
The public finances at the start of the war, as we saw above, were strong. But the war effort has turned a budget surplus of 0.8% of GDP in 2021 to a deficit of 3.7% in 2023 – a deficit that will be difficult to fund with limited access to foreign finance and with domestic interest rates at 16%. As public expenditure on the military has increased, civilian expenditure has decreased. Benefits and expenditure on infrastructure are being squeezed. For example, public utilities and apartment blocks are deteriorating badly. This has a direct on living standards.
In terms of exports, although by diverting oil exports to China, India and other neutral countries Russia has manage to maintain the volume of its oil exports, revenue from them is declining. Oil prices have fallen from a peak of $125 per barrel in June 2022 to around $80 today. Production from the Arabian Gulf is likely to increase over the coming months, which will further depress oil prices.
Conclusions
With the war sustaining the Russian economy, it would be a problem for Russia if the war ended. If Russia won by taking more territory in Ukraine and forcing Ukraine to accept Russia’s terms for peace, the cost to Russia of rebuilding the occupied territories would be huge. If Russia lost territory and negotiated a settlement on Ukraine’s terms, the political cost would be huge, with a disillusioned Russian people facing reduced living standards that could lead to the overthrow of Putin. As The Conversation article linked below states:
A protracted stalemate might be the only solution for Russia to avoid total economic collapse. Having transformed the little industry it had to focus on the war effort, and with a labour shortage problem worsened by hundreds of thousands of war casualties and a massive brain drain, the country would struggle to find a new direction.
Articles
- How Russia’s economy survived two years of war
The Bell (23/2/24)
- How Russia uses China to get round sanctions
The Bell, Denis Kasyanchuk (20/2/24)
- As Ukraineâs economy burns, Russia clings to a semblance of prosperity
The Observer, Larry Elliott and Phillip Inman (24/2/24)
- âA lot higher than we expectedâ: Russian arms production worries Europeâs war planners
The Guardian, Andrew Roth (15/2/24)
- There are lessons from Russiaâs GDP growth â but not the ones Putin thinks
Financial Times, Martin Sandbu (11/2/24)
- Russia’s economy going strong
DW, Miltiades Schmidt (21/2/24)
- The West tried to crush Russiaâs economy. Why hasnât it worked?
Politico, Nahal Toosi, Ari Hawkins, Koen Verhelst, Gabriel Gavin and Kyle Duggan (24/2/24)
- Donât Buy Putinâs Bluff. The West Can Outspend Him.
Bloomberg UK, Editorial (23/2/24)
- Russiaâs war economy cannot last but has bought time
BBC News, Faisal Islam (11/2/24)
- US targets Russia with more than 500 new sanctions
BBC News, George Wright and Will Vernon (24/2/24)
- Russiaâs economy is now completely driven by the war in Ukraine â it cannot afford to lose, but nor can it afford to win
The Conversation, Renaud Foucart (22/2/24)
Questions
- Argue the case for and against including military production in GDP.
- How successful has the freezing of Russian assets been?
- How could Western sanctions against Russia be made more effective?
- What are the dangers to Western economies of further tightening financial sanctions against Russia?
- Would it be a desirable policy for a Western economy to divert large amounts of resources to building public infrastructure?
- Has the Ukraine war hastened the rise of the Chinese yuan as a reserve currency?
- How would you summarise Russia’s current public finances?
- How would you set about estimating the cost to Russia of its war with Ukraine?
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
- The Macroeconomics of Artificial Intelligence
IMF publications, Erik Brynjolfsson and Gabriel Unger (December 2023)
- Economic impacts of artificial intelligence (AI)
European Parliamentary Research Service, Marcin SzczepaĆski (July 2019)
- Artificial intelligence: A real game changer
Chief Investment Office, Merrill/Bank of America (July 2023)
- Generative AI could raise global GDP by 7%
Goldman Sachs, Joseph Briggs (5/4/23)
- The macroeconomic impact of artificial intelligence
PwC, Jonathan Gillham, Lucy Rimmington, Hugh Dance, Gerard Verweij, Anand Rao, Kate Barnard Roberts and Mark Paich (February 2018)
- How genAI is revolutionizing the field of economics
CNN, Bryan Mena and Samantha Delouya (12/10/23)
- AI-powered digital colleagues are here. Some ‘safe’ jobs could be vulnerable.
BBC Worklife, Sam Becker (30/11/23)
- Generative AI and Its Economic Impact: What You Need to Know
Investopedia, Jim Probasco (1/12/23)
- AI is coming for our jobs! Could universal basic income be the solution?
The Guardian Philippa Kelly (16/11/23)
- CFPB chief’s warning: AI is a ‘natural oligopoly’ in the making
Politico, Sam Sutton (21/11/23)
Questions
- Which industries are most likely to benefit from the development of AI?
- Distinguish between labour-replacing and labour-augmenting technological progress in the context of AI.
- How could AI reduce the amount of labour per unit of output and yet result in an increase in employment?
- What people are most likely to (a) gain, (b) lose from the increasing use of AI?
- Is the distribution of income likely to become more equal or less equal with the development and adoption of AI? Explain.
- What policies could governments adopt to spread the gains from AI more equally?