Category: Essential Economics for Business: Ch 01

When I worked as a professional economist at HM Treasury and later the Council of Mortgage Lenders (now part of UK Finance), I would regularly brief on the state of the affordability of housing, with a particular focus on the owner-occupied market. That was back in the late 1990s. Fast forward a quarter of a century and I recognise not only how much I have aged but also how deep-rooted and long-standing the affordability problem is.

It is perhaps not surprising that in her first speech as the new Chancellor of the Exchequer, Rachel Reeves, referenced directly the housing market and the need to address supply-side issues. She has set a target of one and a half million new homes built over the next five years.

It is therefore timely to revisit the trends in house prices across the UK. By applying the distinction between nominal and real values we get a very clear sense of the deteriorating affordability of housing.

Nominal house price patterns

The average UK actual or nominal house price in April 2024 was £281 000. As Chart 1 shows, this masks considerable differences across the UK. In England the average price was £298 000 (105 per cent of the UK average), though this is heavily skewed by London where the average price was £502 000 (178 per cent of the UK average). Meanwhile, in Scotland it was £190 000 (68 per cent of the UK average), in Wales £208 000 (74 per cent of the UK average) and in Northern Ireland it was £178 000 (74 per cent of the UK average). (Click here to download a PowerPoint copy of the chart.)

A simple comparison of the average house price in April 2024 with January 1970 reveals a 72-fold increase in the UK, an 80-fold increase in England, including a 101-fold increase in London, a 65-fold increase in Wales, a 59-fold increase in Scotland and a 45-fold increase in Northern Ireland. Whilst these figures are sensitive to the particular period over which we choose to measure, there is little doubting that upward long-term trend in house prices.

Whilst nominal prices trend upwards over time, the short-term rates of increase are highly volatile. This can be seen from an inspection of Chart 2, which shows the annual rates of increase across the four nations of the UK, as well as for London. This is evidence of frequent imbalances between the flows of property on to the market to sell (instructions to sell) and the number of people looking to buy (instructions to buy). An increase in instructions to buy (housing demand) relative to those to sell (housing supply) puts upward pressure on prices; an increase in the number of instructions to sell (housing supply) relative to those to buy (housing demand) puts downward pressure on prices. (Click here to download a PowerPoint copy of the chart.)

Chart 2 nicely captures the recent slowdown in the housing market. The inflationary shock that began to take hold in 2021 led the Bank of England to raise Bank Rate on 15 occasions – from 0.25 per cent in December 2021 to 5.25 per cent in August 2023 (which remains the rate at the time of writing, but could be cut at the next Bank of England meeting on 1 August 2024). Higher Bank Rate has pushed up mortgage rates, which has contributed to an easing of housing demand. Demand has also been dampened by weak growth in the economy, higher costs of living and fragile consumer confidence. The result has been a sharp fall in the rate of house price inflation, with many parts of the UK experiencing house price deflation. As the chart shows, the rate of deflation has been particularly pronounced and protracted in London, with house prices in January 2024 falling at an annual rate of 5.1 per cent.

Real house price patterns

Despite the volatility in house prices, such as those of recent times, the longer-term trend in house prices is nonetheless upwards. To understand just how rapidly UK house prices have grown over time, we now consider their growth relative to consumer prices. This allows us to analyse the degree to which there has been an increase in real house prices.

To calculate real or inflation-adjusted house prices, we deflate nominal house prices by the Consumer Prices Index (CPI). Chart 3 shows the resulting real house prices series across the UK as if consumer prices were fixed at 2015 levels.

The key message here is that over the longer-term we cannot fully explain the growth in actual (nominal) house prices by the growth in consumer prices. Rather, we see real increases in house prices. Inflation-adjusted UK house prices were 5.3 times higher in April 2024 compared to January 1970. For England the figure was 5.9 times, Wales 4.8 times, Scotland 4.3 times and for Northern Ireland 3.3 times. In London, inflation-adjusted house prices were 7.4 times higher. (Click here to download a PowerPoint copy of the chart.)

As we saw with nominal house prices, the estimated long-term increase in real house prices is naturally sensitive to the period over which we measure. For example, the average real UK house price in August 2022 was 5.8 times higher than in January 1970, while in London they were 8.7 times higher. But the message is clear – the long-term increase is not merely nominal, reflecting increasing prices generally, but is real, reflecting pressures that are increasing house prices relative to general price levels.

Chart 4 shows how the volatility in house prices continues to be evident when house prices are adjusted for changes in consumer prices. The UK’s annual rate of real house price inflation was as high as 40 per in January 1973; on the other hand, in June 1975 inflation-adjusted house prices were 15 per cent lower than a year earlier. (Click here to download a PowerPoint copy of the chart.)

Over the period from January 1970 to April 2024, the average annual rate of real house price inflation in the UK was 3.2 per cent. Hence house prices have, on average, grown at an annual rate of consumer price inflation plus 3.2 per cent. For the four nations, real house price inflation has averaged 3.8 per cent in England, 3.4 per cent in Wales, 3.0 per cent in Scotland and 2.9 per cent in Northern Ireland. Further, the average rate of real house price inflation in London since January 1970 has been 4.5 per cent. By contrast, that for the East and West Midlands has been 3.7 and 3.5 per cent respectively. The important point here is that the pace with which inflation-adjusted house prices have risen helps to contextualise the extent of the problem of housing affordability – a problem that only worsens over time when real incomes do not keep pace.

House building

The newly elected Labour government has made the argument that it needs to prioritise planning reform as an engine for economic growth. While this ambition extends beyond housing, the scale of the supply-side problem facing the housing market can be seen in Chart 5. The chart shows the number of housing completions in the UK since 1950 by type of tenure. (Click here to download a PowerPoint copy of the chart.)

The chart shows the extent of the growth in house building in the UK that occurred from the 1950s and into the 1970s. Over these three decades the typical number of new properties completed each year was around 320 000 or 6 per thousand of the population. The peak of house building was in the late 1960s when completions exceeded 400 000 per year or over 7.5 per thousand of the population. It is also noticeable how new local authority housing (‘council houses’) played a much larger role in the overall housing mix.

Since 1980, the average number of housing completions each year has dropped to 191 000 or 3.2 per thousand of the population. If we consider the period since 2000, the number of completions has averaged only 181 000 per year or 2.9 per thousand of the population. While it is important to understand the pressures on housing demand in any assessment of the growth in real house prices, the lack of growth in supply is also a key factor. The fact that less than half the number of properties per thousand people are now being built compared with half a century or so ago is an incredibly stark statistic. It is a major determinant of the deterioration of housing affordability.

However, there are important considerations around the protection of the natural environment that need to be considered too. It will therefore be interesting to see how the reforms to planning develop and what their impact will be on house prices and their affordability.

Articles

Statistics

Questions

  1. Explain the difference between a rise in the rate of house price inflation a rise in the level of house prices.
  2. Explain the difference between nominal and real house prices.
  3. If nominal house prices rise can real house price fall? Explain your answer.
  4. What do you understand by the terms instructions to buy and instructions to sell?
  5. What factors are likely to affect the levels of instructions to buy and instructions to sell?
  6. How does the balance between instructions to buy and instructions to sell affect house prices?
  7. How can we differentiate between different housing markets? Illustrate your answer with examples.
  8. What metrics could be used to measure the affordability of housing?
  9. Discuss the argument that the deterioration of housing affordability is the result of market failure.

In the third of our series on the distinction between nominal and real values we show its importance when analysing retail sales data. In the UK, such data are available from the Office for National Statistics. This blog revisits an earlier one, Nominal and real retail sales figures: interpreting the data, written in October 2023. We find that inflation-adjusted retail sales data reveal some stark patterns in the sector. They help contextualise some of the challenges faced by high streets up and down the UK.

The Retail Sales Index

Retail sales relate to spending on items such as food, clothing, footwear and household goods. They involve sales by retailers directly to final consumers, whether in store or online. Spending on services such as holidays, air fares and train tickets, insurance, banking, hotels and restaurants are not included, as are sales of motor vehicles. The Retail Sales Index for Great Britain is based on a monthly survey of around 5000 retailers across England, Scotland and Wales and is thought to capture around three-quarters of turnover in the retail industry.

Estimates of retail sales are published in index form. There are two indices published by the ONS: a value and volume measure. The value index reflects the total turnover of business, while the volume index adjusts the value index for price changes. Hence, the value estimates are nominal, while the volume estimates are real. The key point here is that the nominal estimates reflect both price and volume changes, whereas the real estimates adjust for price movements to capture only volume changes.

The headline ONS figures for May 2024 showed a rise by 2.9 per cent in the volume of retail sales, following a 1.8 per cent fall in April. In value terms, May saw a 3.3 per cent rise in retail sales following a 2.3 fall in March. Monthly changes can be quite volatile, even after seasonal adjustment, and sensitive to peculiar factors. For example, the poor weather in April 2024 helped to depress retail spending. It is, therefore, sensible to take a longer-term view when looking for clearer patterns in spending behaviour.

Growth of retail sales

Chart 1 plots the monthly value and volume of retail sales in Great Britain since 1996. (Click here to download a PowerPoint of the chart). In value terms, monthly spending in the retail sector has increased by 169 per cent since January 1996, whereas in volume terms, spending has increased by 77 per cent. Another way of thinking about this is in terms of the average annual rate of increase. This shows that the value of spending has risen at an annual rate of 3.5 per cent while the volume of spending has risen at an annual rate of 2.0 per cent. This difference is to be expected in the presence of rising prices, since nominal growth, as we have just noted, reflects both price and volume changes.

Chart 1 helps to identify two periods where the volume of retail spending ceased to grow. The first of these is following the global financial crisis of the late 2000s. The period from 2008 to 2013 saw the volume of retail sales stagnate and flatline, with a recovery in volumes only really starting to take hold in 2014. Yet in nominal terms retail sales grew by around 14 per cent.

The second of the two periods is from 2021. Chart 2 helps to demonstrates the extent of the struggles of the retail sector in this period. It shows a significant divergence between the volume and value of retail sales. Indeed, between April 2021 and October 2023, while the value of retail sales increased by 8.0 per cent the volume of retail sales fell by 11.0 per cent.

The recent value-volume divergence reflects the inflation shock that began to emerge in 2021. This saw consumer prices, as measured by the Consumer Prices Index (CPI), rise across 2022 and 2023 by 9.1 per cent and 7.3 per cent respectively, with the annual rate of CPI inflation hitting 11.1 per cent in October 2022. Hence, while inflation was a drag on the volume of spending it nonetheless meant that the value of spending continued to rise. Once more this demonstrates why understanding the distinction between nominal and real is important. (Click here to download a PowerPoint of the chart).

To illustrate the longer-term trend in the volume of retail spending alongside its volatility, Chart 3 plots yearly retail sales volumes and also their percentage change on the previous year.

The chart nicely captures the prolonged halt to retail sales growth following the global financial crisis, the fluctuations caused by COVID and then the sharp falls in the volume of retail spending in 2022 and 2023 as the effects of the inflationary shock on peoples’ finances bit sharply. This cost-of-living crisis significantly affected many people’s disposable income. (Click here to download a PowerPoint of the chart).

Categories of retail sales

We conclude by considering categories of retail spending. Chart 4 shows volumes of retail sales by four broad categories since 1996. (Click here to download a PowerPoint of the chart). These are food stores, predominantly non-food stores, non-store retail and automotive fuel (i.e. sales of petrol and diesel “at the pumps”).

Whilst all categories have seen an increase in their spending volumes over the period as a whole, there are stark differences in this rate of growth. Perhaps not surprisingly, the most rapid growth is in non-store retail. This includes online retailing, as well as market stalls and catalogues.

The volume of retail spending in the non-store sector has grown at an average annual rate over this period of 6.3 per cent, compared with 2.6 per cent for non-food stores, 1.2 per cent for predominantly food stores and 1.0 per cent for automotive fuels. The growth of non-store retail has been even more rapid since 2010, when the average annual rate of growth in the volume of purchases has been 10.2 per cent, compared to 1.8 per cent for non-food stores, 1.0 per cent for automotive fuels and zero growth for food stores.

If we focus on the most recent patterns in the categories of retail sales, we see that the monthly volume of spending in all categories except non-store retail is now lower than the average in 2019. Specifically, when compared to 2019 levels, the volume of spending in non-food stores in May 2024 was 2.6 per cent lower, while that in food stores was 4.4 per cent lower, and the volume of spending on automotive fuels was 10.8 per cent lower. In contrast, spending in non-store retail was 21.2 per cent higher. Yet this is not to imply that this sector has been immune to the pressures faced by their high-street counterparts. Although it is difficult to disentangle fully the effects of the pandemic and lockdowns on non-store retail sales data, the downward trajectory in the volume of retail sales in the sector that occurred as the economy ‘reopened’ in 2021 and 2022 continued into 2023 when purchases fell by 3.5 per cent.

Final thoughts

The retail sector is an incredibly important part of the economy. A recent research briefing from the House of Commons Library reports that there were 2.7 million jobs in the UK retail sector in 2022, equivalent to 8.6 per cent of the country’s jobs with 314 040 retail businesses as of January 2023. Yet the importance of the retail sector cannot be captured by these statistics alone. Some would argue that the very fabric and wellbeing of our towns and cities is affected by the wellbeing of the sector and, importantly, by structural changes that affect how people interact with retail.

Articles

Research Briefing

Statistical bulletin

Data

Questions

  1. Which of the following is/are not counted in the UK retail sales data: (i) purchase of furniture from a department store; (ii) weekly grocery shop online; (iii) a stay at a hotel on holiday; (iv) a meal at your favourite café or restaurant?
  2. Why does an increase in the value of retail sales not necessarily mean that their volume has increased?
  3. In the presence of deflation, which will be higher: nominal or real growth rates?
  4. Discuss the factors that could explain the patterns in the volume of spending observed in the different categories of retail sales in Chart 4.
  5. Discuss what types of retail products might be more or less sensitive to changes in the macroeconomic environment.
  6. Conduct a survey of recent media reports to prepare a briefing discussing examples of retailers who have struggled or thrived in the recent economic environment.
  7. What do you understand by the concepts of ‘consumer confidence’ and ‘economic uncertainty’? How might these affect the volume of retail spending?
  8. Discuss the proposition that the retail sales data cast doubt on whether people are ‘forward-looking consumption smoothers’.

The distinction between nominal and real values in one of the ‘threshold concepts’ in economics. These are concepts that are fundamental to a discipline and which occur again and again. The distinction between nominal and real values is particularly important when interpreting and analysing data. We show its importance here when analysing the latest retail sales data from the Office for National Statistics.

Retail sales relate to spending on items such as food, clothing, footwear, and household goods (see). They involve sales by retailers directly to end consumers whether in store or online. The retail sales index for Great Britain is based on a monthly survey of around 5000 retailers across England, Scotland and Wales and is thought to capture around 75 per cent of turnover in the sector.

Estimates of retail sales are published in index form. There are two indices published by the ONS: a value and volume measure. The value index reflects the total turnover of business, while the volume index adjusts the value index for price changes. Hence, the value estimates are nominal, while the volume estimates are real. The key point here is that the nominal estimates reflect both price and volume changes, whereas the real estimates adjust for price movements to capture only volume changes.

The headline ONS figures for September 2023 showed a 0.9 per cent volume fall in the volume of retail sales, following a 0.4 per cent rise in August. In value terms, September saw a 0.2 per cent fall in retail sales following a 0.9 per cent rise in August. Monthly changes can be quite volatile, even after seasonal adjustment, and sensitive to peculiar factors. For example, the unusually warm weather this September helped to depress expenditure on clothes. It is, therefore, sensible to take a longer-term view when looking for clearer patterns in spending behaviour.

Chart 1 plots the value and volume of retail sales in Great Britain since 1996. (Click here for a PowerPoint of this and the other two charts). In value terms, retail sales spending increased by 165 per cent, whereas in volume terms, spending increased by 73 per cent. This difference is expected in the presence of rising prices, since nominal growth, as we have just noted, reflects both price and volume changes. The chart is notable for capturing two periods where the volume of retail spending ceased to grow. The first of these is following the global financial crisis of the late 2000s. The period from 2008 to 2013 saw the volume of retail sales stagnate and flatline with a recovery in volumes only really starting to take hold in 2014. Yet in nominal terms retail sales grew by around 16 per cent.

The second of the two periods is the decline in the volume of retail sales from 2021. To help illustrate this more clearly, Chart 2 zooms in on retail sales over the past five years or so. We can see a significant divergence between the volume and value of retail sales. Between April 2021 and September 2023, the volume of retail sales fell by 11%. In contrast, the value of retail sales increased by 8.4%. The impact of the inflationary shock and the consequent cost-of-living crisis that emerged from 2021 is therefore demonstrated starkly by the chart, not least the severe drag that it has had on the volume of retail spending. This has meant that the aggregate volume of retail sales in September 2023 was only back to the levels of mid-2018.

Finally, Chart 3 shows the patterns in the volumes of retailing by four categories since 2018: specifically, food stores, predominantly non-food stores, non-store retail, and automotive fuel. The largest fall in the volume of retail sales has been experienced by non-store retailing – largely online retailing. From its peak in December 2020, non-store retail sales decreased by almost 20 per cent up to September 2023. While this needs to be set in the context of the volume of non-store retail purchases being 14% higher than in February 2020 before the pandemic lockdowns were introduced, it is nonetheless indicative of the pressures facing online retailers.

Importantly, the final chart shows that the pressures in retailing are widespread. Spending volumes on automotive fuels, and in food and non-food stores are all below 2019 levels. The likelihood is that these pressures will persist for some time to come. This inevitably has potential implications for retailers and, of course, for those that work in the sector.

Articles

Statistical bulletin

Data

Questions

  1. Why does an increase in the value of retail sales not necessarily mean that their volume has increased?
  2. In the presence of deflation, which will be higher: nominal or real growth rates?
  3. Discuss the factors that could explain the patterns in the volume of spending observed in the different categories of retail sales in Chart 3.
  4. Discuss what types of retail products might be more or less sensitive to the macroeconomic environment.
  5. Conduct a survey of recent media reports to prepare a briefing discussing examples of retailers who have struggled or thrived in the recent economic environment.
  6. What do you understand by the concepts of ‘consumer confidence’ and ‘economic uncertainty’? How might these affect the volume of retail spending?
  7. Discuss the proposition that the retail sales data cast doubt on whether people are ‘forward-looking consumption smoothers’.

The development of open-source software and blockchain technology has enabled people to ‘hack’ capitalism – to present and provide alternatives to traditional modes of production, consumption and exchange. This has enabled more effective markets in second-hand products, new environmentally-friendly technologies and by-products that otherwise would have been negative externalities. Cryptocurrencies are increasingly providing the medium of exchange in such markets.

In a BBC podcast, Hacking Capitalism, Leo Johnson, head of PwC’s Disruption Practice and younger brother of Boris Johnson, argues that various changes to the way capitalism operates can make it much more effective in improving the lives of everyone, including those left behind in the current world. The changes can help address the failings of capitalism, such as climate change, environmental destruction, poverty and inequality, corruption, a reinforcement of economic and political power and the lack of general access to capital. And these changes are already taking place around the world and could lead to a new ‘golden age’ for capitalism.

The changes are built on new attitudes and new technologies. New attitudes include regarding nature and the land as living resources that need respect. This would involve moving away from monocultures and deforestation and, with appropriate technologies (old and new), could lead to greater output, greater equality within agriculture and increased carbon absorption. The podcast gives examples from the developing and developed world of successful moves towards smaller-scale and more diversified agriculture that are much more sustainable. The rise in farmers’ markets provides an important mechanism to drive both demand and supply.

In the current model of capitalism there are many barriers to prevent the poor from benefiting from the system. As the podcast states, there are some 2 billion people across the world with no access to finance, 2.6 billion without access to sanitation, 1.2 billion without access to power – a set of barriers that stops capitalism from unlocking the skills and productivity of the many.

These problems were made worse by the response to the financial crisis of 2007–8, when governments chose to save the existing model of capitalism by propping up financial markets through quantitative easing, which massively inflated asset prices and aggravated the problem of inequality. They missed the opportunity of creating money to invest in alternative technologies and infrastructure.

New technology is the key to developing this new fairer, more sustainable model of capitalism. Such technologies could be developed (and are being in many cases) by co-operative, open-source methods. Many people, through these methods, could contribute to the development of products and their adaptation to meet different needs. The barriers of intellectual property rights are by-passed.

New technologies that allow easy rental or sharing of equipment (such as tractors) by poor farmers can transform lives and massively increase productivity. So too can the development of cryptocurrencies to allow access to finance for small farmers and businesses. This is particularly important in countries where access to traditional finance is restricted and/or where the currency is not stable with high inflation rates.

Blockchain technology can also help to drive second-hand markets by providing greater transparency and thereby cut waste. Manufacturers could take a stake in such markets through a process of certification or transfer.

A final hack is one that can directly tackle the problem of externalities – one of the greatest weaknesses of conventional capitalism. New technologies can support ways of rewarding people for reducing external costs, such as paying indigenous people for protecting the land or forests. Carbon markets have been developed in recent years. Perhaps the best example is the European Emissions Trading Scheme (EMS). But so far they have been developed in isolation. If the revenues generated could go directly to those involved in environmental protection, this would help further to internalise the externalities. The podcasts gives an example of a technology used in the Amazon to identify the environmental benefits of protecting rain forests that can then be used to allow reliable payments to the indigenous people though blockchain currencies.

Podcast

Questions

  1. What are the main reasons why capitalism has led to such great inequality?
  2. What do you understand by ‘hacking’ capitalism?
  3. How is open-source software relevant to the development of technology that can have broad benefits across society?
  4. Does the current model of capitalism encourage a self-centred approach to life?
  5. How might blockchain technology help in the development of a more inclusive and fairer form of capitalism?
  6. How might farmers’ co-operatives encourage rural development?
  7. What are the political obstacles to the developments considered in the podcast?

For those of you embarking on a course in economics, one of the first things you’ll come across is the distinction between microeconomics and macroeconomics. The news is full of both microeconomic and macroeconomic issues and you’ll quickly see how relevant both branches of economics are to analysing real-world events, problems and policies.

As we state in Economics (updated 10th edition), ‘microeconomics is concerned with the individual parts of the economy. It is concerned with the demand and supply of particular goods, services and resources such as cars, butter, clothes, haircuts, plumbers, accountants, blast furnaces, computers and oil.’ In particular, it is concerned with the buying, selling, production and employment decisions of individuals and firms. When you go shopping and make choices of what to buy you are making microeconomic decisions. When firms choose how much of particular products to produce, what techniques of production to use and how many people to employ, these choices are microeconomic ones.

Microeconomics examines people’s behaviour when they make choices. In fact many of the recent developments in microeconomics involve analysing the behaviour of individuals and firms and the factors that influence this behaviour.

Open any newspaper, turn on the TV news or access any news site and you will see various microeconomic issues covered. Why are rents soaring? How is AI affecting various businesses’ productivity? How rapidly is the switch taking place to green energy? How do supermarkets influence spending patterns? Why are wages so low in the social care sector? Why are private PCR tests so expensive for holidaymakers retuning from abroad?

Many of the blogs on this news site will examine microeconomic issues. We hope that they provide useful case studies for your course.

Articles

Questions

  1. Look through news sites and identify five current microeconomic issues. What makes them ‘micro’ issues?
  2. If world oil and gas prices rise, why is this a microeconomic issue?
  3. What do you understand by ‘scarcity’? How is microeconomics related to scarcity?
  4. Are all goods scarce?
  5. What is meant by ‘opportunity cost’? Give some examples of how opportunity cost has affected recent decisions you have made.