Category: Economics for Business: Ch 17

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Shrinkflation, skimpflation and sneakflation: ways of hiding inflation

Have you noticed that many products in the supermarket seem to be getting smaller or are poorer quality, or that special offers are not as special as they used to be? When you ring customer services, does it seem that you have to wait longer than you used to? Do you now have to pay for extras that used to be free? These are all ways that producers try to pass on cost increases to consumers without rising prices. There are three broad ways in which producers try to hide inflation.

The first is called ‘shrinkflation’. It is defined as having less product in the same package or a smaller package for the same price. For example, reducing the number of chocolates in a tub, reducing the size of a can of beans, jar of coffee or block of butter, reducing the number of sheets in a toilet roll, or the length of a ride in a fairground or portion sizes in a restaurant or takeaway. A 2023 YouGov poll revealed that 75% of UK adults are either ‘very’ or ‘fairly’ concerned about shrinkflation. A similar poll in 2025 showed that this figure had increased to 80%. The product category with the greatest concerns was snack foods (e.g. crisps, confectionery items, nuts, etc.).1

The second form of hidden inflation is called ‘skimpflation’. This is defined as decreasing the quality of a product or service without lowering the price. Examples include cheaper ingredients in food or confectionery, such as using palm oil instead of butter, or reducing the cocoa content in chocolate or the meat content in sausages and pies, or package holidays reducing the quality of meals, or customer service centres or shops reducing the number of staff so that people have to wait longer on the phone or to be served.

The third is called ‘sneakflation’. This is similar to skimpflation but normally refers to reducing what you get when you pay for a service, such as a flight, by now charging for extras, such as luggage or food. Sometimes shrinkflation or skimpflation are seen as subsets of sneakflation.

These practices have had a lot of publicity in recent months, with consumers complaining that they are getting less for their money. Many people see them as a sneaky way of passing on cost increases without raising the price. But the changes are often subtle and difficult for shoppers to spot when they are buying an item. Skimpflation especially is difficult to observe at the time of purchase. It’s only when people consume the product that they think that it doesn’t seem as good as it used to be. Even shrinkflation can be hard to spot if the package size remains the same but there is less in it, such as fewer biscuits in a tin or fewer crisps in a packet. People would have to check the weight or volume, while also knowing what it used to be.

If firms are legitimately passing on costs and are up-front about what they are doing, then most consumers would probably understand it even if they did not like it. It’s when firms do it sneakily that many consumers get upset. Also, firms may do it to increase profit margins – in other words, by reducing the size or quality beyond what is necessary to cover the cost increase.

Does the official rate of inflation take such practices into account?

The answer is that some of the practices are taken into account – especially shrinkflation. The Office for National Statistics (ONS) accounts for shrinkflation by monitoring price changes per unit of weight or volume, rather than just the price. Data collectors track the weight, volume or count of item. When a product’s size is reduced, the ONS records this as a price increase in CPI or CPIH inflation statistics. This is known as a ‘quality adjustment’ process and allows the ONS to isolate price changes from product size changes. As CPI data from the ONS is used by the Bank of England in monitoring its 2% inflation target, it too is incorporating shrinkflation.

ONS quality adjustments are also applied to non-market public services, such as healthcare, education and policing to measure changes in service quality rather than just volume. This allows a more accurate measurement of productivity as it focuses on outcomes and user experience per pound spent rather than just focusing on costs.

Skimpflation is more difficult to monitor. The quality adjustment process may miss some quality changes and hence some skimpflation goes unrecorded. This means that the headline inflation rate might understate the true decline in purchasing power felt by consumers.

How extensive is hidden inflation?

Despite public perception, shrinkflation has a relatively small impact on the headline CPI and CPIH inflation rate in the UK because it is largely confined to certain sectors, such as bread and cereals, personal care products, meat products, and sugar, jams, syrups, chocolate & confectionery. Nevertheless, in these sectors it is particularly prevalent, especially in the packaged foodstuffs and confectionery sector. The latest research by the ONS in 2019 covered the period June 2015 to June 2017 and is shown in the following figure.2

According to research in the USA by Capital One Shopping, some major brands reduced product sizes by over 30% in 2025 without reducing prices, with shrinkflation averaging 14.8% among selected national grocery brands.3 Shrinkflation had been observed by 74% of Americans at their grocery store. Of these, 81% took some kind of action as a result, with 48% abandoning a brand. Nevertheless, across all products, shrinkflation accounts for quite a small percentage of any overall price rises.

A US Government Accountability Office (GAO) report found that shrinkflation accounted for less than 1/10 of a percentage point of the 34.5% increase in overall consumer prices from 2019 to 2024.4 The reason is that the items that were downsized comprised a small percentage of goods and services. Indeed, many goods and services, such as housing, cannot be downsized in the same way that household products can.

Nevertheless, with consumer budgets being squeezed by the inflation that followed the pandemic and the Russian invasion of Ukraine, hidden inflation has become more prevalent in many countries and an increasing concern of consumers.

References

  1. Shrinkflation concern rises in 2025, but fewer Britons are changing shopping habits

    2. YouGov (15/8/25)

  2. Shrinkflation: How many of our products are getting smaller?

    3. Office for National Statistics (21/1/19)

  3. Shrinkflation Statistics

    4. Capital One Shopping (30/12/25)

  4. What is “Shrinkflation,” And How Has It Affected Grocery Store Items Recently?

    5. U.S. Government Accountability Office (12/8/25)

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Questions

  1. If shrinkflation, when included in CPI statistics, accounts for such a small percentage of inflation, why are people so concerned about it?
  2. From a company’s perspective, is it a good idea to engage in (a) shrinkflation; (b) skimpflation?
  3. Go round you local supermarket and identify examples of shrinkflation and skimpflation.
  4. How are various EU countries attempting to inform consumers of shrinkflation?
  5. Why is skimpflation often harder to detect than shrinkflation?
  6. Give some other examples of sneakflation in the provision of services.
  7. How could behavioural economists help firms decide whether or how to engage in shrinkflation or skimpflation?
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Ticket resales – is it time to introduce a price cap?

Following the controversary over the sale of tickets for popular live events such as Taylor Swift’s Eras tour and the Oasis Live ’25 Tour, the government launched a consultation exercise in January 2025 on the resale of tickets. Titled, ‘putting fans first’, the exercise sought the views of individuals and organisations on a range of policy proposals. One of these was the implementation of a cap on the resale price of tickets.

The government is not only considering whether to implement a cap but also the level at which it might be set. The following question was included in the consultation exercise.

What is the maximum uplift that you think should be applied if ticket resales were to be subject to a price cap? Please state the reason for your selection.
 • no uplift at all
 • 10% or less
 • between 10 and 20%
 • between 20 and 30%
 • other – please state

Some platforms such as Twickets and Ticketswap already cap resale prices on their platforms at between 5 and 10 per cent above the face value of the ticket. They are, therefore, less likely to be affected by any new price regulation unless the ‘no uplift at all’ option is chosen. On other platforms, such as Viagogo and Stubhub, resellers are free to list tickets at whatever price they choose. This is often referred to as the uncapped market, and tickets for the Oasis tour with a face value of £150 were listed on these websites for £14 000. The implementation of a price cap is likely to have a big impact on this part of the resale market. The chief executive of StubHub stated in June 2025 that the business would probably have to exit the UK if a cap was introduced.

Although many fans dislike the uncapped secondary ticketing market, most economists take a more positive view. They see them as a way of facilitating mutually beneficial trade and helping to reallocate tickets to those with the highest willingness to pay. This reduces levels of allocative inefficiency/deadweight welfare loss in the market.

Economists also tend to argue against the use of price controls in competitive markets because of their negative impact on supply. If price controls reduce the available returns to sellers, they have an incentive to do something else with their time/resources i.e. switch to supplying other goods and services in markets not subject to price controls. This reduces supply in the regulated market and so could have a negative impact on consumer surplus.

What are the issues with the secondary market?

Given the benefits outlined by economists of having an uncapped secondary ticketing, why is the government considering the implementation of a price cap? One potential issue of having an uncapped secondary ticketing market is that developments in technology make it easier for professional resellers to buy very large quantities of tickets. This makes it increasingly difficult for fans who want to attend the event from being able to purchase a ticket.

Reports also suggest that professional resellers use illegal methods to both mass purchase and resell tickets. For example, to overcome any limits on sales imposed by the sellers in the primary market, some use automated software, fake IDs and multiple credit cards. Two people convicted of fraudulent trading in 2024 were found to have bought 47 000 tickets over a 212-year period, using 127 names and 187 different e-mail addresses.

Some resellers have also acted in ways that do not comply with consumer law when advertising tickets for sale. For example, not providing information such as the ticket number and other details about where the seat is located i.e. the block/area and row.

These rent seeking activities by professional resellers could outweigh the positive impact of uncapped secondary market on allocative efficiency.

Implementing a resale price cap would reduce the incentives for professional resellers to purchase large quantities of tickets and engage in these rent-seeking activities. However, in the consultation document the government recognises that the implementation of a resale price cap would be a ‘significant and complex intervention’.

An important implementation issue

To calculate the resale price cap for any live event, the original price of the ticket in the primary market needs to be known. This raises an interesting question – should the cap apply to the initial face value of the ticket or the total price the customer pays?

The face value of the ticket may only represent a proportion of the actual cost of buying a ticket because of the widespread use of drip pricing. This is the practice of applying additional fees as the consumer proceeds through the online purchasing process. These fees can sometimes add around 25 per cent and more to the price of a ticket. In the consultation document, the government suggested that the cap should apply to the face value of the ticket plus all compulsory fees.

One issue raised in the response to the consultation by the Competition and Markets Authority is that these fees are not always made clear by sellers in the primary market in a clear and transparent way. Therefore, for the policy to be effective, primary market sellers would have to make information on both ticket prices and any fees clearly and easily available. Recent changes to the law that prohibit drip pricing might help to address this issue.

The potential impact of a resale price cap on fraud

To avoid the price cap, there is a danger that increasing numbers of buyers and sellers stop using capped secondary ticket platforms, where activity is easier to observe/regulate, and switch to other non-specialist platforms where detection of illegal behaviour and enforcement of consumer law is more difficult. Examples of non-specialist platforms where sales might increasingly take place include Facebook Marketplace, Instagram Shop, X (formerly Twitter) and internet forums. With lower levels of consumer protection and the greater difficulty of detecting illegal behaviour, sales via these non-specialist platforms are more vulnerable to scams and fraud.

When referring to the impact of a resale price cap, the chief executive of StubHub argued that:

It will have a massive negative impact on consumers. It’s not like the demand is going to go away, it’s just going to move somewhere else, and that somewhere else is going to be the black market [where] consumers aren’t protected.

To test the hypothesis that price controls lead to greater incidences of fraud, one study used polling data to compare ticket fraud rates in the UK with Victoria, Australia and Ireland. In 2009, the state government of Victoria made it illegal for tickets to be resold for more than 10 per cent of their face, while the Irish government introduced the Sale of Ticket Act in 2021 that prohibited the resale of tickets above their original price. The study found that the proportion of respondents who reported being victims of ticket fraud over the previous two years was around four times higher in Victoria and Ireland than the UK. The most common sales channel where consumers experienced ticket fraud in all three countries were social media platforms.

Another example of the potential impact of the price cap in Ireland on fraud relates to the first ever regular-season NFL game that is being played in Dublin on 28 September 2025 between the Pittsburgh Steelers and the Minnesota Vikings. The online bank, Revolut, reported an 80 per cent increase in the number of ticket scams when tickets for this game went on sale.

In response to the consultation exercise, the Competition and Markets Authority backed the implementation of a resale price. It will be interesting to see if the government goes through with the measure in the next few months.

Consultation

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Questions

  1. Why might event organisers set ticket prices below the market clearing rate? Illustrate the impact of setting prices below market clearing rates on consumer, producer and total surplus in the primary market for tickets.
  2. Using a demand and supply diagram, explain how the uncapped secondary ticket market could reduce deadweight welfare loss. Discuss any assumptions you have made about the allocation of tickets among potential buyers in the primary market (i.e. sorting).
  3. Is it possible for professional resellers to continue making a profit if tickets are sold at market clearing rates in the primary market? Explain your answer.
  4. Under what circumstances would a maximum price set below the market clearing rate in a competitive market have a negative impact on consumer surplus? Draw a diagram to illustrate your answer.
  5. Using examples, explain what is meant by ‘rent seeking’ in economic theory.
    Outline some of the recent updates to the law on pricing information that businesses must show customers.
  6. What policies, other than a resale price cap, could the government introduce to try to address some of the issues with the ticketing market for live events?
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Competition policy – the evolving approach towards firms that misuse market power

The enforcement of Article 102 of the Treaty on the Functioning of the European Union (TFEU) by the European Commission (EC) tends to focus on exclusionary abuses by firms with significant market power. Exclusionary abuses are actions that limit or prevent competition, as opposed to exploitative abuses that directly harm the consumer, such as charging high prices.

The treatment of exclusionary abuses has evolved over time. Initially, the approach towards enforcement was form-based (i.e. the nature of the abuses), but this changed when the EC produced new guidelines in 2009 which signalled a move to a more effects-based approach.

The EC plans to produce a new set of guidelines in 2025 and published a draft version in August 2024 as part of the consultation process with businesses and other stakeholders. These draft guidelines indicate a partial shift back to a form-based approach. Any moves in this direction made by the EC are likely to influence both national-level competition authorities and the courts.

The form-based approach to policy enforcement

A form-based approach to the enforcement of Article 102 assumes that certain types of business conduct are inherently anti-competitive except in very exceptional circumstances. In other words, there is a presumption that the characteristics or form of the behaviour mean that it must have a negative impact on competition and consumer welfare in virtually all real-world cases.

With a form-based approach to enforcement there is no requirement for the authorities to carry out detailed case-specific analyses of business conduct as part of an investigation. This had been the approach adopted by the EC before 2009. It is possible, however, that the same form of business conduct could have anti-competitive effects in some market situations but pro-competitive effects in others. The EC was criticised for not making enough allowance for the chances of this happening.

The effects-based approach to policy enforcement

In response to this criticism the European Union published a new set of guidelines in 2009 which signalled that the enforcement of Article 102 was moving to a more effects-based approach. The effects-based approach uses economic analysis to assess the impact of a dominant firm’s conduct on a case-by-case basis. Context-specific evidence is examined by the competition authorities to see if the behaviour effectively excludes rival businesses from the market that are just as efficient as the dominant firm.

The use of economics in this effects-based approach gradually increased over time. Initially, the analysis was predominately based on theoretical arguments, but increasingly cases included sophisticated analysis of market-specific evidence using econometric models and market simulations. This, however, led to the following issues.

  • The increasing use of complex economic analysis makes it more difficult to meet the evidentiary standards of the courts and prove a case. As the effects-based approach places a greater burden on the competition authorities to meet these evidentiary standards (i.e. provide evidence of case-specific anti-competitive effects of the conduct) it disproportionality affects their ability to prove cases.
  • Businesses with significant market power are more likely to make large profits and so have access to greater resources than government-funded competition authorities. Therefore, they will be able to employ more economic consultants with the relevant technical expertise to (a) carry out the analysis and (b) communicate the findings effectively in a court case

This led to concerns that the competition authorities were losing cases where there was strong evidence of exclusionary conduct by the dominant firm.

In response to these concerns, the EC announced in 2023 that it would be revising its 2009 guidelines to improve enforcement of Article 102.

The draft guidelines

The draft guidelines published in August 2024 split different types of potentially anti-competitive conduct by dominant firms into three categories.

The first category includes types of conduct where there is a strong presumption of anti-competitive effects: i.e. the sole purpose of the business behaviour is to restrict competition. These types of conduct are referred to as a ‘naked restriction’ and the documentation provides the following three examples:

  • making payments to customers (typically other businesses) on the condition that they cancel or postpone the launch of a product that uses inputs produced by the dominant firm’s rivals;
  • threatening to withdraw discounts offered to suppliers unless they agree to supply the dominant firm’s product in place of a similar product produced by a rival firm;
  • actively dismantling infrastructure used by a rival firm.

The guidelines indicate a form-based approach will be taken when investigating these types of conduct as the EC will not have to provide any case-specific evidence of anti-competitive effects. A business under investigation can challenge the presumption of anti-competitive effects with appropriate evidence, but the guidelines make it clear that this would only succeed in exceptional circumstances. In other words, it is highly unlikely that the conduct could ever be justified on pro-competitive grounds.

The second category of anti-competitive conduct includes actions that are also presumed to have a negative impact on competition. The presumption, however, is not as strong as with naked restrictions, so firms have a better chance of proving pro-competitive effects.

There is a form-based element towards this second category of conduct as the EC will not have to provide any initial case specific evidence of anti-competitive effects. But, if a business under investigation does submit evidence to challenge the presumption of anti-competitive effects, the EC must demonstrate that (a) it has fully assessed this evidence and (b) the evidence is insufficient to prove that the conduct does have pro-competitive effects. As part of this process, the EC can provide its own case-specific evidence. Therefore, for this second category of conduct, the initial burden of proof effectively shifts from the competition authority to the firm under investigation, making it more of a form-based approach. However, if the firm uses relevant evidence to appeal its case, the burden shifts back to the competition authority and becomes a more effects-based approach.

The third category includes types of conduct where the EC must initially provide case-specific evidence that it reduces competition. For this category of conduct, the approach towards enforcement remains the same as in the 2009 guidelines and an effects-based approach is adopted.

It will be interesting to see the extent to which the final guidelines (a) follow the approach outlined in the draft guidance and (b) influence the enforcement of Article 102 by the EC and other national-level competition authorities.

Articles

Questions

  1. What exactly does it mean if a firm has ‘significant’ market power?
  2. What methods do competitions authorities use to assess whether a firm has a dominant market position?
  3. Explain the difference between conduct by dominant firm that is (a) an exploitative abuse of its market power and (b) an exclusionary abuse of its market power.
  4. Explain why a form-based approach towards the enforcement of competition policy is more likely to lead to Type 1 errors (false positives), whereas an effects-based approach is more likely to lead to Type 2 errors (false negatives).
  5. Provide some examples of exclusionary abuses that are not considered to be naked restrictions.
  6. Competition policy guidance documents commonly refer to ‘competition on the merits’. What is the precise meaning of this term?
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From swiping right to swiping out: the economics of the dating app decline

According to Ofcom’s November 2024 Online Nation report (see report linked below), UK adults are falling out of love with dating apps. Use of the top three platforms in the UK (Tinder, Hinge, and Bumble) is declining, even though most users are juggling multiple apps at once. So, what’s going on? Economics may have some valuable insights to help explain the decline.

Too much choice

First, dating platforms don’t function like typical commodity markets, where prices adjust until supply and demand balance. Instead, dating can be seen as what economists call a ‘matching market’, where success depends on mutual interest, not on a specific price. So even with thousands of potential matches, forming actual connections remains difficult, and more choice doesn’t necessarily translate into better outcomes.

In fact, more choice can backfire. The paradox of choice, a behavioural economics concept, suggests that too many options can lead to choice paralysis. Instead of feeling empowered by an abundance of potential partners, users can feel overwhelmed, unsure, and often less satisfied with whatever choice they end up making (if they make one at all).

So, while we often think of dating apps, like many other platforms, benefiting from positive network effects, where more users increase the platform’s value by offering more potential matches, this can also have negative effects. Swiping through endless profiles and repeating the same small talk, can turn dating into a chore rather than an exciting opportunity.

Adverse selection

What makes this even harder is that users can’t easily distinguish between who’s genuinely looking for the same thing you are, and who’s just there to pass the time. This information asymmetry leads to the adverse selection problem – a concept famously explored by economist George Akerlof in his 1970 paper ‘The Market for Lemons’ (see link below). He showed how lack of information about product quality can cause high-quality sellers to exit, resulting in market failure where the market becomes dominated by low-quality goods (i.e. ‘lemons’).

A similar dynamic can play out on dating apps. If users believe most profiles are unserious or not genuine, they become less willing to engage, or even stay on the platform. Meanwhile, the most genuine users may give up altogether, worsening the quality of the pool and discouraging others.

In economics, there are some well-known ways in which the problem of adverse selection could be overcome. One such possibility is through signalling, where the more informed person tries to reveal important information to the uninformed person. Indeed, platforms have experimented with signalling mechanisms, like verification tools for example. Paid subscriptions have also been implemented, which could help to some extent (assuming that those who are willing to pay are those who are genuine and serious about finding a match). But these solutions only go so far, and with fewer users paying to signal intent, the problem persists.

Lack of innovation

This ties into the wider revenue model of dating apps. Unlike many apps that rely on revenue from advertising on one side of the market to offer the app free to consumers on the other side, dating platforms often rely more on revenue through monthly subscriptions and paid upgrades. But with fewer users willing to pay, these platforms may be under pressure. This financial pressure may also affect their ability to innovate or improve the service.

In fact, in the dating app world, there is another reason why platforms may not be innovating as much as they should, aside from simply trying to convince their users to pay for a better service. While it seems like there’s endless choice in the dating app world, much of the market is controlled by a single company, InterActiveCorp (IAC), which owns Tinder, Hinge, Match.com and more. With limited competition, there’s less incentive to compete on quality.

Worse still, dating apps face a unique business problem: if their service works too well, users leave and delete the app. So, there may be a built-in tension between helping users succeed and keeping them swiping.

The outlook for dating apps

So, is the decline in dating app use just temporary, or the start of something bigger? Time will tell. However, from an economics perspective, there is a noticeable shift in demand towards substitutes, such as organised in-person social events and activities, which encourages more and more of these opportunities to emerge. This shift may reflect changing preferences and the costs (in terms of time and emotional energy) that users are willing to invest in online dating.

At the same time, AI already plays a key role in dating apps, and new possibilities seem to be emerging. For example, we could see a bigger rollout of AI-driven chatbots that facilitate conversations or even interact on behalf of users. This could make it easier to connect with potential matches and might help in addressing some of the other issues discussed above.

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Report

Questions

  1. How might ‘signalling’ and ‘screening’ be used to create new features or services that could help overcome the adverse selection problem in this market?
  2. Can you think of any other ways in which the adverse selection problem could be overcome in this context?
  3. Draw a diagram to illustrate the two-sided nature of the dating app market, making clear where there may be positive or negative network effects.
  4. How else might dating app platforms be making revenue that allows them to offer the app to users at no charge?
  5. Is the dating app market competitive? You might consider factors such as the availability of substitutes, barriers to entry and innovation.
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Should train companies scrap peak-time fares?

In many countries, train fares at peak times are higher than at off-peak times. This is an example of third-degree price discrimination. Assuming that peak-time travellers generally have a lower price elasticity of demand, the policy allows train companies to increase revenue and profit.

If the sole purpose of ticket sales were to maximise profits, the policy would make sense. Assuming that higher peak-time fares were carefully set, although the number travelling would be somewhat reduced, this would be more than compensated for by the higher revenue per passenger.

But there are external benefits from train travel. Compared with travel by car, there are lower carbon emissions per person travelling. Also, train travel helps to reduce road congestion. To the extent that higher peak-time fares encourage people to travel by car instead, there will be resulting environmental and congestion externalities.

The Scottish experiment with abolishing higher peak-time fares

In October 2023, the Scottish government introduced a pilot scheme abolishing peak-time fares, so that tickets were the same price at any time of the day. The idea was to encourage people, especially commuters, to adopt more sustainable means of transport. Although the price elasticity of demand for commuting is very low, the hope was that the cross-price elasticity between cars and trains would be sufficiently high to encourage many people to switch from driving to taking the train.

One concern with scrapping peak-time fares is that trains would not have the capacity to cope with the extra passengers. Indeed, one of the arguments for higher peak-time fares is to smooth out the flow of passengers during the day, encouraging those with flexibility of when to travel to use the cheaper and less crowded off-peak trains.

This may well apply to certain parts of the UK, but in the case of Scotland it was felt that there would be the capacity to cope with the extra demand at peak time. Also, in a post-COVID world, with more people working flexibly, there was less need for many people to travel at peak times than previously.

Reinstatement of peak-time fares in Scotland

It was with some dismay, therefore, especially by commuters and environmentalists, when the Scottish government decided to end the pilot at the beginning of October 2024 and reinstate peak-time fares – in many cases at nearly double the off-peak rates. For example, the return fare between Glasgow and Edinburgh rose from £16.20 to £31.40 at peak times.

The Scottish government justified the decision by claiming that passenger numbers had risen by only 6.8%, when, to be self-financing, an increase of 10% would have been required. But this begs the question of whether it was necessary to be self-financing when the justification was partly environmental. Also, the 6.8% figure is based on a number of assumptions that could be challenged (see The Conversation article linked below). A longer pilot would have helped to clarify demand.

Other schemes

A number of countries have introduced schemes to encourage greater use of the railways or other forms of public transport. One of these is the flat fare for local journeys. Provided that this is lower than previously, it can encourage people to use public transport and leave their car at home. Also, its simplicity is also likely to be attractive to passengers. For example, in England bus fares are capped at £2. Currently, the scheme is set to run until 31 December 2024.

Another scheme is the subscription model, whereby people pay a flat fee per month (or week or year, or other time period) for train or bus travel or both. Germany, for example, has a flat-rate €49 per month ‘Deutschland-Ticket‘ (rising to €58 per month in January 2025). This ticket provides unlimited access to local and regional public transport in Germany, including trains, buses, trams, metros and ferries (but not long-distance trains). This zero marginal fare cost of a journey encourages passengers to use public transport. The only marginal costs they will face will be ancillary costs, such as getting to and from the train station or bus stop and having to travel at a specific time.

Articles

Questions

  1. Identify the arguments for and against having higher rail fares at peak times than at off-peak times
  2. Why might it be a good idea to scrap higher peak-time fares in some parts of a country but not in others?
  3. Provide a critique of the Scottish government’s arguments for reintroducing higher peak-time fares.
  4. With reference to The Conversation article, why is it difficult to determine the effect on demand of the Scottish pilot of scrapping peak-time fares?
  5. What are the arguments for and against the German scheme of having a €49 per month public transport pass for local and regional transport with no further cost per journey? Should it be extended to long-distance trains and coaches?
  6. In England there is a flat £2 single fare for buses. Would it be a good idea to make bus travel completely free?