Category: Economics: Ch 15

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The Russian economy after two years of war

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

Questions

  1. Argue the case for and against including military production in GDP.
  2. How successful has the freezing of Russian assets been?
  3. How could Western sanctions against Russia be made more effective?
  4. What are the dangers to Western economies of further tightening financial sanctions against Russia?
  5. Would it be a desirable policy for a Western economy to divert large amounts of resources to building public infrastructure?
  6. Has the Ukraine war hastened the rise of the Chinese yuan as a reserve currency?
  7. How would you summarise Russia’s current public finances?
  8. How would you set about estimating the cost to Russia of its war with Ukraine?
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UK enters recession: what does this mean for living standards?

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’?
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Worries about the Chinese economy

According to the IMF, Chinese GDP grew by 5.2% in 2023 and is predicted to grow by 4.6% this year. Such growth rates would be extremely welcome to most developed countries. UK growth in 2023 was a mere 0.5% and is forecast to be only 0.6% in 2024. Advanced economies as a whole only grew by 1.6% in 2023 and are forecast to grow by only 1.5% this year. Also, with the exception of India, the Philippines and Indonesia, which grew by 6.7%, 5.3% and 5.0% respectively in 2023 and are forecast to grow by 6.5%, 6.0% and 5.0% this year, Chinese growth also compares very favourably with other developing countries, which as a weighted average grew by 4.1% last year and are forecast to grow at the same rate this year.

But in the past, Chinese growth was much higher and was a major driver of global growth. Over the period 1980 to 2018, Chinese economic growth averaged 9.5% – more than twice the average rate of developing countries (4.5%) and nearly four times the average rate of advanced countries (2.4%) (see chart – click here for a PowerPoint of the chart).

Not only is Chinese growth now much lower, but it is set to decline further. The IMF forecasts that in 2025, Chinese growth will have fallen to 4.1% – below the forecast developing-country average of 4.2% and well below that of India (6.5%).

Causes of slowing Chinese growth

There are a number of factors that have come together to contribute to falling economic growth rates – growth rates that otherwise would have been expected to be considerably higher as the Chinese economy reopened after severe Covid lockdowns.

Property market
China has experienced a property boom over the past 20 years years as the government has encouraged construction in residential blocks and in factories and offices. The sector has accounted for some 20% of economic activity. But for many years, demand outstripped supply as consumers chose to invest in property, partly because of a lack of attractive alternatives for their considerable savings and partly because property prices were expected to go on rising. This lead to speculation on the part of both buyers and property developers. Consumers rushed to buy property before prices rose further and property developers borrowed considerably to buy land, which local authorities encouraged, as it provided a valuable source of revenue.

But now there is considerable overcapacity in the sector and new building has declined over the past three years. According to the IMF:

Housing starts have fallen by more than 60 per cent relative to pre-pandemic levels, a historically rapid pace only seen in the largest housing busts in cross-country experience in the last three decades. Sales have fallen amid homebuyer concerns that developers lack sufficient financing to complete projects and that prices will decline in the future.

As a result, many property developers have become unviable. At the end of January, the Chinese property giant, Evergrande, was ordered to liquidate by a Hong Kong court, after the judge ruled that the company did not have a workable plan to restructure around $300bn of debt. Over 50 Chinese property developers have defaulted or missed payments since 2020. The liquidation of Evergrande and worries about the viability of other Chinese property developers is likely to send shockwaves around the Chinese property market and more widely around Chinese investment markets.

Overcapacity
Rapid investment over many years has led to a large rise in industrial capacity. This has outstripped demand. The problem could get worse as investment, including state investment, is diverted from the property sector to manufacturing, especially electric vehicles. But with domestic demand dampened, this could lead to increased dumping on international markets – something that could spark trade wars with the USA and other trading partners (see below). Worries about this in China are increasing as the possibility of a second Trump presidency looks more possible. The Chinese authorities are keen to expand aggregate demand to tackle this overcapacity.

Uncertainty
Consumer and investor confidence are low. This is leading to severe deflationary pressures. If consumers face a decline in the value of their property, this wealth effect could further constrain their spending. This will, in turn, dampen industrial investment.

Uncertainty is beginning to affect foreign companies based in China. Many foreign companies are now making a loss in China or are at best breaking even. This could lead to disinvestment and add to deflationary pressures.

The Chinese stock market and policy responses
Lack of confidence in the Chinese economy is reflected in falling share prices. The Shanghai SSE Composite Index (an index of all stocks traded on the Shanghai Stock Exchange) has fallen dramatically in recent months. From a high of 3703 in September 2021, it had fallen to 2702 on 5 Feb 2024 – a fall of 27%. It is now below the level at the beginning of 2010 (see chart: click here for a PowerPoint). On 5 February alone, some 1800 stocks fell by over 10% in Shanghai and Shenzhen. People were sensing a rout and investors expressed their frustration and anger on social media, including the social media account of the US Embassy. The next day, the authorities intervened and bought large quantities of key stocks. China’s sovereign wealth fund announced that it would increase its purchase of shares to support the country’s stock markets. The SSE Composite rose 4.1% on 6 February and the Shenzhen Component Index rose 6.2%.

However, the rally eased as investors waited to see what more fundamental measures the authorities would take to support the stock markets and the economy more generally. Policies are needed to boost the wider economy and encourage a growth in consumer and business confidence.

Interest rates have been cut four times since the beginning of 2022, when the prime loan rate was cut from 3.85% to 3.7%. The last cut was from 3.55% to 3.45% in August 2023. But this has been insufficient to provide the necessary boost to aggregate demand. Further cuts in interest rates are possible and the government has said that it will use proactive fiscal and effective monetary policy in response to the languishing economy. However, government debt is already high, which limits the room for expansionary fiscal policy, and consumers are highly risk averse and have a high propensity to save.

Graduate unemployment
China has seen investment in education as an important means of increasing human capital and growth. But with a slowing economy, there are are more young people graduating each year than there are graduate jobs available. Official data show that for the group aged 16–24, the unemployment rate was 14.9% in December. This compares with an overall urban unemployment rate of 5.1%. Many graduates are forced to take non-graduate jobs and graduate jobs are being offered at reduced salaries. This will have a further dampening effect on aggregate demand.

Demographics
China’s one-child policy, which it pursued from 1980 to 2016, plus improved health and social care leading to greater longevity, has led to an ageing population and a shrinking workforce. This is despite recent increases in unemployment in the 16–24 age group. The greater the ratio of dependants to workers, the greater the brake on growth as taxes and savings are increasingly used to provide various forms of support.

Effects on the rest of the world

China has been a major driver of world economic growth. With a slowing Chinese economy, this will provide less stimulus to growth in other countries. Many multinational companies, including chip makers, cosmetics companies and chemical companies, earn considerable revenue from China. For example, the USA exports over $190 billion of goods and services to China and these support over 1 million jobs in the USA. A slowdown in China will have repercussions for many companies around the world.

There is also the concern that Chinese manufacturers may dump products on world markets at less than average (total) cost to shift stock and keep production up. This could undermine industry in many countries and could initiate a protectionist response. Already Donald Trump is talking about imposing a 10% tariff on most imported goods if he is elected again in November. Such tariffs could be considerably higher on imports from China. If Joe Biden is re-elected, he too may impose tariffs on Chinese goods if they are thought to be unfairly subsidised. US (and possibly EU) tariffs on Chinese goods could lead to a similar response from China, resulting in a trade war – a negative sum game.

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Questions

  1. Why is China experiencing slowing growth and is growth likely to pick up over the next five years?
  2. How does the situation in China today compare with that in Japan 30 years ago?
  3. What policies could the Chinese government pursue to stimulate economic growth?
  4. What policies were enacted towards China during the Trump presidency from 2017 to 2020?
  5. Would you advise the Chinese central bank to cut interest rates further? Explain.
  6. Should China introduce generous child support for families, no matter the number of children?
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The AI revolution

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?
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The fiscal arithmetic of sustainable public debt: is the maths getting harder?

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

Data

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.