Category: Economics: Ch 24

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

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

The situation today

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

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

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

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

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

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

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

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Reports

Data

Questions

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

Three recent reports (see links below) have suggested that US consumers and businesses pay most of the tariffs imposed by the second Trump administration. The percentage varies from around 86% to 96%. US customs revenue surged by approximately $200 billion in 2025, but this was a tax paid almost entirely by US consumers and businesses. Foreign suppliers largely maintained their (pre-tariff) prices. They took a hit in terms of reduced volumes rather than reduced pre-tariff prices.

The incidence of a tariff between consumers, domestic importers and overseas producers will depend on price elasticities of demand and supply. The following diagram shows a product where the importing country is large enough to have a degree of market power, which will normally be the case with the USA. The greater its buying power, the flatter will be its demand curve, showing that the foreign supplier will have little influence on the price. With no tariff, the equilibrium price paid by importers will be at point a, where demand equals supply. Q1 would be imported at a price of P1.

Imposition of a tariff will shift the supply curve upwards by the amount of the tariff. The new equilibrium price paid by importers will be at point b, where the new supply curve crosses the demand curve. Importers thus now pay a post-tariff price of P2: an effective rise in price of P2 minus P1. Foreign exporters receive P3, which is what they are paid by importers after the tariff has been paid.

The consumer price will be above P2 as that includes a mark-up by US businesses on top of the price they pay to import the product. Importers may bear some of the increase in price and not pass the full amount onto consumers, depending on competition and their ability to absorb cost increases.

President Trump argued that there would be very little rise in price from the tariffs and that overseas suppliers would bear the brunt of the tariffs. Indeed, recently he has argued that this must be the case as US inflation has been falling. In response, critics maintain that the rate of inflation would have fallen more without the tariffs and that current prices would be lower than they are. Also, if US importing firms or retailers bear some of the increased cost, even though this helps to dampen the price rise, their lower profits could damage investment and employment.

The Reports

The first report is from the New York Fed (one of the regional branches of the Federal Reserve Bank). It examines the effect of tariffs imposed in 2025, over three periods: (i) January to August, (ii) September to October, and (iii) November. In the first period, 94% of the tariffs were paid by US importers and 6% by foreign exports; in the second period, the figures were 92% and 8% and in the third period, 86% and 14%.

The second report is The Budget and Economic Outlook: 2026 to 2036 from the Congressional Budget Office. Box 2-1 notes that, as of November 2025, ‘the effective tariff rate was about 13 percentage points higher than the roughly 2 percent rate on imports in 2024’. Its analysis suggests that 95% of the tariffs will be borne by importers. Of these higher import prices, 30% will be borne by US businesses, largely through reduced profit margins, and 70% by consumers through higher prices. This will also allow many businesses which produce goods that compete with foreign imports to ‘increase their prices because of the decline in competition from abroad and the increased demand for tariff-free domestic goods’.

The third report is from the Kiel Insitut. In its Policy Brief, Americaʼs Own Goal: Who Pays the Tariffs?, it finds that US importers and consumers bear 96% of the cost of the 2025 tariffs, with foreign exporters absorbing only about 4%. It bases it findings on shipment-level data covering over 25 million transactions valued at nearly $4 trillion. This also shows that exports to the USA declined as foreign exporters preferred to reduce volumes rather than absorbing the tariffs.

The tariffs raised some $200 billion in 2025, around 3.8% of Federal tax receipts. But, as we have seen, this was paid largely by US consumers and business. It goes some way to offsetting the annual cut in tax revenues of around $450 to $520 billion per year from the tax cuts, largely to the better off, in Trump’s ‘One Big Beautiful Bill’.

Reports

Aricles

Questions

  1. Summarise the findings of the three reports (but just Box 2-1 of the Congressional Budget Office one).
  2. Assess the argument that protectionism leads to inefficiency in the protected industries.
  3. Under what circumstances would exporters to the USA absorb a high percentage of tariff increases? Consider questions of elasticity.
  4. Can tariffs ever be justified on efficiency grounds?
  5. Can tariffs be justified as a bargaining ploy? Can they be used as a means of achieving freer and fairer trade?
  6. Read the blog, President Reagan on tariffs and summarise President Reagan’s arguments. Are they still relevant today?
  7. Consider the arguments for and against the EU raising tariffs on US goods.

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

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

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

Redistribution within a country

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

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

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

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

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

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

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

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

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

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

Redistribution between countries

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

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

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

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

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

Articles

Questions

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

The gold market has become one of the most talked-about commodity markets in 2025, with prices reaching record highs. This is largely due to increased demand from investors, who see gold as a ‘safe haven’ during times of economic and political uncertainty. Central banks are also buying more gold as a way to reduce their reliance on currencies like the US dollar. With many analysts predicting prices could reach over $4000 per ounce in the next year, the gold market is showcasing how supply and demand, confidence, and global events can all influence a commodity market.

The commodities market is where basic agricultural products, raw materials and metals, such as gold, are bought and sold, often in large quantities and across global exchanges. Commodities are typically traded either in their physical form (like gold bars) at current market prices (spot prices) or through financial contracts, where investors buy or sell in futures markets. These are where a price is agreed today to buy or sell on a specific future date.

As with other commodities, the price of gold is determined by supply and demand. Demand for gold typically rises during times of economic uncertainty as investors want a safer store of value. This results in an increase in its price. Supply and demand, and hence price, also respond to other factors, including interest rates, currency movements, economic growth and growth prospects, and geopolitical events.

Record high prices

This year, the gold market has seen a remarkable rally, with the price of gold hitting a record high. Demand for the precious metal has resulted in spot prices surging over 35% to date (see the chart: click here for a PowerPoint). Rising prices earlier this year have been attributed to the US President, Donald Trump, announcing wide-ranging tariffs which have upset global trade. On 2 September, the spot gold price hit $3508.50 per ounce, continuing its upwards trend.

The price has also been lifted by expectations that the Federal Reserve (the US central bank) will cut its key interest rate, making gold an even more attractive prospect for investors. If the Federal Reserve cuts interest rates, the price of gold usually increases. This is because gold does not pay any interest or yield, so when interest rates are high, investors can earn better returns from alternatives, such as savings accounts or bonds. However, when interest rates fall, those returns become less attractive, making gold relatively more appealing.

Lower interest rates also tend to weaken the US dollar, which makes gold cheaper for foreign buyers, increasing global demand. Since gold is priced in dollars, a weaker dollar usually leads to higher gold prices.

Additionally, interest rate cuts are often a response to economic problems or uncertainty. As gold is viewed as a safer asset for investors during times of economic uncertainty, investors will typically increase their demand.

Unlike the market for currencies or shares, gold doesn’t rely on the performance of a government or company. This makes it attractive when people are worried about things like inflation, recession, war or stock market crashes. Gold is thus seen as a ‘safe haven’.

Gold and the Federal Reserve

The rise in the price of gold by more than a third this year can be linked to the US election last year, according to the director of research at BullionVault (see the BBC article below). Attitudes of the Trump administration towards the Federal Reserve have created concerns among investors. Fears that the US administration could erode the independence of the world’s most important central bank have fuelled the latest flows into the metal, which is traditionally viewed as a hedge against inflation.

According to the BBC article, Derren Nathan from Hargreaves Lansdown claims that it is Trump’s ‘attempts to undermine the independence of the Federal Reserve Bank’ that were ‘driving renewed interest in safe haven assets, including gold’. Investors are concerned that a politicised Fed would be more inclined to cut interest rates than would otherwise be the case, sending long-term inflation expectations higher.

This could lead to fears that future interest rates would then be pushed higher. This would increase the yields on longer-term government bonds by pushing down their price, as investors demand higher compensation for the increased risk of higher future interest rates reducing the value of their fixed-rate investments. This would force the US Treasury to pay higher interest on new bonds, making it more expensive to service US government debt.

Expected price rises for 2026

As we saw above, it is predicted that the price of gold will rise to $4000 per ounce next year. However, if the market sees investors move away from dollar assets, such as US Treasuries, the price increases would be even higher. Daan Struyven, co-head of global commodities research at Goldman Sachs explains ‘If 1 per cent of the privately owned US Treasury market were to flow to gold, the gold price would rise to nearly $5000 per troy ounce’ (see Financial Times article below).

If the Federal Reserve does come under political pressure, it could affect the stability of the US economy and beyond. When gold prices rise sharply, demand usually falls in countries like China and India, which are the world’s largest buyers of gold jewellery. However, in 2025, this trend has changed. Instead of reducing their gold purchases, people in these countries have started buying investment gold, such as bars and coins, showing a shift in consumer behaviour from jewellery to investment assets.

At the same time, global events are also influencing the gold market. Suki Cooper, a metals analyst at Standard Chartered, said that events like Russia’s invasion of Ukraine have added to political uncertainty, which tends to increase demand for gold as a safe-haven asset. She also highlighted how changes in international trade policies have disrupted supply chains and contributed to higher inflation, both of which have made gold more attractive to investors. Additionally, a weaker US dollar earlier in the year made gold cheaper for buyers using other currencies, which boosted global demand even further.

Conclusion

Although the gold market is expected to remain strong over the next six months, some uncertainty remains. Many analysts predict that gold prices will stay high or even increase further, especially if interest rates in the US are cut as expected. Continued global instability, is also likely to keep demand for gold as a safe haven high. At the same time, if inflation stays elevated or trade disruptions continue, more investors may turn to gold to protect their wealth.

However, if economic conditions stabilise or interest rates rise again, gold demand could fall slightly, leading to a potential dip in prices. Overall, the outlook for gold remains positive, but sensitive to changes in global economic and political events.

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Data

Questions

  1. What factors influence the price of a commodity such as gold on the global market?
  2. Use a demand and supply diagram to illustrate what has been happening to the gold price in recent months.
  3. Find out what has been happening to silver prices. Are the explanations for the price changes the same as for gold?
  4. Why might investors choose to buy gold during times of economic or political uncertainty?
  5. How will changes in interest rates affect both the demand for and the price of gold?
  6. What are the possible consequences of rising gold prices for countries like India and China, where there is a traditionally high demand for gold jewellery?
  7. How do global events impact commodity markets? Use gold as an example in your answer.

In a blog in October 2024, we looked at global uncertainty and how it can be captured in a World Uncertainty Index. The blog stated that ‘We continue to live through incredibly turbulent times. In the past decade or so we have experienced a global financial crisis, a global health emergency, seen the UK’s departure from the European Union, and witnessed increasing levels of geopolitical tension and conflict’.

Since then, Donald Trump has been elected for a second term and has introduced sweeping tariffs. What is more, the tariffs announced on so-called ‘Liberation Day‘ have not remained fixed, but have fluctuated with negotiations and threatened retaliation. The resulting uncertainty makes it very hard for businesses to plan and many have been unwilling to commit to investment decisions. The uncertainty has been compounded by geopolitical events, such as the continuing war in Ukraine, the war in Gaza and the June 13 Israeli attack on Iran.

The World Uncertainty Index (WUI) tracks uncertainty around the world by applying a form of text mining known as ‘term frequency’ to the country reports produced by the Economist Intelligence Unit (EIU). The words searched for are ‘uncertain’, ‘uncertainty’ and ‘uncertainties’ and the number of times they occur as percentage of the total words is recorded. To produce the WUI this figure is then multiplied by 1m. A higher WUI number indicates a greater level of uncertainty.

The monthly global average WUI is shown in Chart 1 (click here for a PowerPoint). It is based on 71 countries. Since 2008 the WUI has averaged a little over 23 000: i.e. 2.3 per cent of the text in EIU reports contains the word ‘uncertainty’ or a close variant. In May 2025, it was almost 79 000 – the highest since the index was first complied in 2008. The previous highest was in March 2020, at the start of the COVID-19 outbreak, when the index rose to just over 56 000.

The second chart shows the World Trade Uncertainty Index (WTUI), published on the same site as the WUI (click here for a PowerPoint). The method adopted in its construction therefore mirrors that for the WUI but counts the number of times in EIU country reports ‘uncertainty’ is mentioned within proximity to a word related to trade, such as ‘protectionism’, ‘NAFTA’, ‘tariff’, ‘trade’, ‘UNCTAD’ or ‘WTO.’

The chart shows that in May 2025, the WTUI had risen to just over 23 000 – the second highest since December 2019, when President Trump imposed a new round of tariffs on Chinese imports and announced that he would restore steel tariffs on Brazil and Argentina. Since 2008, the WTUI has averaged just 2228.

It remains to be seen whether more stability in trade relations and geopolitics will allow WUI and WUTI to decline once more, or whether greater instability will simply lead to greater uncertainty, with damaging consequences for investment and also for consumption and employment.

Articles

Uncertainty Indices

Questions

  1. Explain what is meant by ‘text mining’. What are its strengths and weaknesses in assessing business, consumer and trade uncertainty?
  2. Explain how the UK Monthly EPU Index is derived.
  3. Why has uncertainty increased so dramatically since the start of 2025?
  4. Compare indices based on text mining with confidence indices.
  5. Plot consumer and business/industry confidence indicators for the past 24 months, using EC data. Do they correspond with the WUI?
  6. How may uncertainty affect consumers’ decisions?