Tag: online sales

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Getting real with retail sales

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’.
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The economics of fake reviews

Imagine a situation where you are thinking of buying a good and so you go to an e-commerce marketplace such as Amazon, eBay, Etsy or Onbuy. How confident are you about the quality of the different brands/makes that are listed for sale on these digital platforms? How do you choose which product to buy? Is the decision strongly influenced by customer reviews and rating?

When a customer is choosing what to buy it raises an interesting question: to what extent can the true quality of the different goods/services be observed at the time of purchase? Although perfect observability is highly unlikely, the level of consumer information about a product’s true quality will vary between different types of transaction.

For example, when consumers can physically inspect and test/try a product in a shop, it can help them to make more accurate judgements about its quality and condition. This poses a problem for online sellers of high-quality versions of a good. Without the ability to inspect the item physically, consumers may be unsure about its characteristics. They may worry that the online description provided by the seller deliberately misrepresents the true quality of the item.

Consumers may have other concerns about the general reliability of online sellers. For example, in comparison to buying the product from a physical store, consumers may worry that:

  • They will have to wait longer to receive the good. In many cases, when consumers purchase a product from a high-street store, they can walk away with the item and start using it straight away. When purchasing on line, they may end up waiting weeks or even longer before the product is finally delivered.
  • It will be more difficult to return the product and get a refund.
  • They are more likely to come across fraudulent sellers who have set-up a fake website.

This greater level of uncertainty about the true characteristics of the product and the general reliability of the seller will have a negative impact on consumers’ willingness to pay for all goods. This impact is likely to be particularly strong for high-quality versions of a product. If consumers’ willingness to pay falls below the reservation price of many sellers of high-quality goods, then the market could suffer from adverse selection and market failure.

Are there any within-market arrangements that could help deal with this issue? One possibility is for sellers to signal the quality of their products by posting consumer ratings and reviews. If consumers see that a product has many positive ratings, then this will increase their confidence in the quality of the product and so increase their willingness to pay. This could then reduce both levels of asymmetric information and the chances of adverse selection occurring in the market,

There is survey evidence that many people do read consumer reviews when choosing products on line and are heavily influenced by the ratings.

The problem of fake reviews

However, when consumers look at these reviews can they be sure that they reflect consumers’ honest opinions and/or actual experience of using the good or service? Firms may have an incentive to manipulate and post fake reviews. For example, they could:

  • Deliberately fail to display negative reviews on their website while claiming that all reviews are published.
  • Use internet bots to post thousands of automated reviews.
  • Take positive reviews from competitors’ websites and post them on their own website.
  • Pay some customers and/or employees to write and post 5-star reviews on their own website.
  • Pay some customers and/or employees to write and post 1-star reviews on their competitors’ websites.
  • Set up a website that they claim is independent and use it to provide positive endorsements of their own products.

If the benefits of this type of behaviour outweigh the costs, then we would expect to see fake reviews posted on websites. If their use becomes widespread, then the value of posting genuine reviews will fall. The market may then settle into what economists call a ‘pooling equilibrium’.

What evidence do we have on the posting of fake reviews? Given their nature, it is difficult to collect reliable data and there are large variations in the reported figures. One recent study found evidence of fake reviews being purchased and posted for approximately 1500 products on Amazon.

Can consumers screen reviews and identify those that are more likely to be fake? The following are some tell-tale signs.

  • Products that receive a large number of very positive reviews over a short period (i.e. a few days). There are then long periods before the product receives another large number of positive reviews.
  • A high percentage of 5-star reviews. Two, three and four start reviews are more likely to be genuine.
  • Reviews that specifically mention a rival firm’s products.
  • Reviewers who have given very high ratings to large number of different products over a short period of time.
  • Reviews that include photos/videos.

Competition authorities around the world have been investigating the issue and the Competition and Markets Authority has announced plans to introduce new laws that make the purchasing and posting of fake reviews illegal.

Articles

Questions

  1. Outline different types of asymmetric information and explain the difference between adverse selection and moral hazard.
  2. Using a diagram, explain the impact of uncertainty over the quality of a good on consumers’ willingness to pay.
  3. Will consumers always face greater uncertainty over quality when purchasing goods on line rather than visiting the high street? Discuss your answer making reference to some specific examples.
  4. Using diagrams, explain how a market for high-quality versions of a good might collapse if there is asymmetric information. Using price elasticity of supply, explain the circumstances when the market is more likely to collapse.
  5. Discuss some of the benefits and costs for a firm of purchasing and posting fake reviews.
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‘Sale’ing to the future

With all the doom and gloom of recent economic data, including rising inflation and higher unemployment, there’s finally a small speck of light and that’s in the form UK retail sales. The latest data from the ONS suggests that sales in the UK in September were higher than previously forecast and reversed the 0.4% decline we saw in August. A big contributing factor to this positive data was a boost to online sales, but this small glimmer of hope is unlikely to be sufficient to keep the economy going – unless sales keep rising, we are unlikely to see any significant increase in economic growth.

The data, while positive, is still unlikely to have any impact on economic policy. The minutes from the Monetary Policy Committee showed that there was unanimous support for further quantitative easing, as the threat of weak growth and financial instability and uncertainty remains. An economist from Barclays Capital said:

‘We don’t think the recent strong growth in monthly sales is likely to be sustained…The environment for retailers is likely to remain challenging as consumer spending remains depressed driven by low confidence and slow earnings growth.’

The data from September is positive, but it does little to offset the decline in sales seen in August. It was revised down from 0.2% to 0.4% – some blame the hot weather, which discouraged consumers from hitting the high streets in preparation for the winter. The key data to look out for will be sales figures for the next few months. Only then will we have more of an indication about exactly which direction the economy is moving in. The following articles consider this latest economic data.

Retail sales in UK unexpectedly increase at fastest pace in five months Bloomberg, Scott Hamilton (20/10/11)
UK retail sales see stronger-than-expected rise BBC News (20/10/11)
Nothing expected from today’s UK retail sales figure FX-MM, Richard Driver (20/10/11)
Retail sales: what the economists say Guardian (20/10/11)
£1 in every £10 now spent online, says ONS Telegraph, Harry Wallop (20/10/11)
Retail sales rise more than expected Financial Times, Sarah O’Connor (20/10/11)
Retail sales up but good weather has a price Sky News (20/10/11)

Questions

  1. Which factors have contributed to the higher than expected sales figures for September?
  2. Why do economists not believe that the higher growth in sales means signs of recovery for the UK economy?
  3. How has higher inflation impacted UK households?
  4. To what extent do you think the warm weather held back retail sales?
  5. What could explain why there has been a significant growth in online sales?