Category: Economics for Business: Ch 21

You may have recently noticed construction workers from different businesses digging up the roads/pavements near where you live. You may also have noticed them laying fibre optic cables. Why has this been happening? Does it make economic sense for different companies to dig up the same stretch of pavement and lay similar cables next to one another?

For many years the UK had one national fixed communication network that was owned by British Telecom (BT) – the traditional phone landline made from copper wire. This is now operated by OpenReach – part of the BT group but a legally separate division. In addition to this national infrastructure, Virgin Media (formed in 2007 from the merged cable operators, Telewest and NTL) has gradually built up a rival fixed broadband network that now covers just over 50 per cent of the country.

Although customers have only had very limited choice over which fixed communication network to use, they have had far greater choice over which Internet service provider (ISP) to sign up for. This has been possible as the industry regulator, Ofcom, forces OpenReach to provide rival ISPs such as Sky Broadband, TalkTalk and Zen with access to its network.

Expansion of the fibre optic network

Recent government policy has tried to encourage and incentivise the replacement of the copper wire network with one that is fully fibre. This is often referred to as Fibre to the Premises (FTTP) or Fibre to the Home (FTTH). A fixed network of fully fibre broadband enables much faster download speeds and many argue that it is vital for the future competitiveness of the UK economy.

Replacing the existing fixed communication network with fibre optic cables is expensive. It can involve major civil works: i.e. the digging up of roads and pavements to install new ducts to lay the fibre optic cables inside.

Over a hundred companies, that are not part of either OpenReach or Virgin Media O2 (the parent company of Virgin Media), have recently been digging up pavements/roads and laying new fibre optic cables. Known as alternative network providers (altnets) or independent networks, these businesses vary in size, with many of them securing large loans from banks and private investors. By the middle of 2023, 2.5 million premises in the UK had access to at least two or more of these independent networks.

After a slow initial response to the altnets, OpenReach has recently responded by rapidly installing FTTP. The business is currently building 62 000 connections every week and plans to have 25 million premises connected by the end of 2026. In July 2022, Virgin Media O2 announced that it was establishing a new joint venture with InfraVia Capital Partners. Called Nexfibre, this business aims to connect 5 million premises to FTTP by 2026.

Is the fibre optic network a natural monopoly?

Some people argue that the fixed communication network is an example of a natural monopoly – an industry where a single firm can supply the whole market at a lower average cost than two or more firms. To what extent is this true?

An industry is a natural monopoly where the minimum efficient scale of production (MES) is larger than the market demand for the good/service. This is more likely to occur where there are significant economies of scale. Digging up roads/pavements, installing new ducts and laying fibre optic cable are clear examples of fixed costs. Once the network is built, the marginal cost of supplying customers is relatively small. Therefore, this industry has significant economies of scale and a relatively large MES. This has led many people to argue that building rival fixed communication networks is wasteful duplication and will lead to higher costs and prices.

However, when judging if a sector is a natural monopoly, it is always important to remember that a comparison needs to be made between the MES and the size of the market. An industry could have significant economies of scale, but not be an example of a natural monopoly if the market demand is significantly larger than the MES.

In the case of the fixed communication network, the size of the market will vary significantly between different regions of the country. In densely populated urban areas, such as large towns and cities, the demand for services provided via these networks is likely to be relatively large. Therefore, the MES could be smaller than the size of the market, making competition between network suppliers both possible and desirable. For example, competition may incentivise firms to innovate, become more efficient and reduce costs.

Research undertaken for the government by the consultancy business, Frontier Economics, found that at least a third of UK households live in areas where competition between three or more different networks is economically desirable.

By contrast, in more sparsely populated rural areas, demand for the services provided by these networks will be smaller. The fixed costs per household of installing the network over longer distances will also be larger. Therefore, the MES is more likely to be greater than the size of the market.

The same research undertaken by Frontier Economics found that around 10 per cent of households live in areas where the fixed communication network is a natural monopoly. The demand and cost conditions for another 10 per cent of households meant it is not commercially viable to have any suppliers.

Therefore, policies towards the promotion of competition, regulation, and government support for the fixed communication network might have to be adjusted depending on the specific demand and cost conditions in a particular region.

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Review

Questions

  1. Explain the difference between fixed and wireless communication networks.
  2. Draw a diagram to illustrate a profit-maximising natural monopoly. Outline some of the implications for allocative efficiency.
  3. Discuss some of the issues with regulating natural monopolies, paying particular attention to price regulation.
  4. The term ‘overbuild’ is often used to describe a situation where more than one fibre broadband network is being constructed in the same place. Some people argue that incumbent network suppliers deliberately choose to use this term to imply that the outcome is harmful for society. Discuss this argument.
  5. An important part of government policy in this sector has been the Duct and Pole Access Strategy (DPA). Illustrate the impact of this strategy on the average cost curve and the minimum efficient scale of production for fibre broadband networks.
  6. Draw a diagram to illustrate a region where (a) it is economically viable to have two or more fibre optic broadband network suppliers and (b) where it is commercially unviable to have any broadband network suppliers without government support.
  7. Some people argue that network competition provides strong incentives for firms to innovate, to become more efficient and reduce costs. Draw a diagram to illustrate this argument.
  8. Explain why many ‘altnets’ are so opposed to OpenReach’s new ‘Equinox 2’ pricing scheme for its fibre network.

Artificial intelligence is having a profound effect on economies and society. From production, to services, to healthcare, to pharmaceuticals; to education, to research, to data analysis; to software, to search engines; to planning, to communication, to legal services, to social media – to our everyday lives, AI is transforming the way humans interact. And that transformation is likely to accelerate. But what will be the effects on GDP, on consumption, on jobs, on the distribution of income, and human welfare in general? These are profound questions and ones that economists and other social scientists are pondering. Here we look at some of the issues and possible scenarios.

According to the Merrill/Bank of America article linked below, when asked about the potential for AI, ChatGPT replied:

AI holds immense potential to drive innovation, improve decision-making processes and tackle complex problems across various fields, positively impacting society.

But the magnitude and distribution of the effects on society and economic activity are hard to predict. Perhaps the easiest is the effect on GDP. AI can analyse and interpret data to meet economic goals. It can do this much more extensively and much quicker than using pre-AI software. This will enable higher productivity across a range of manufacturing and service industries. According to the Merrill/Bank of America article, ‘global revenue associated with AI software, hardware, service and sales will likely grow at 19% per year’. With productivity languishing in many countries as they struggle to recover from the pandemic, high inflation and high debt, this massive boost to productivity will be welcome.

But whilst AI may lead to productivity growth, its magnitude is very hard to predict. Both the ‘low-productivity future’ and the ‘high-productivity future’ described in the IMF article linked below are plausible. Productivity growth from AI may be confined to a few sectors, with many workers displaced into jobs where they are less productive. Or, the growth in productivity may affect many sectors, with ‘AI applied to a substantial share of the tasks done by most workers’.

Growing inequality?

Even if AI does massively boost the growth in world GDP, the distribution is likely to be highly uneven, both between countries and within countries. This could widen the gap between rich and poor and create a range of social tensions.

In terms of countries, the main beneficiaries will be developed countries in North America, Europe and Asia and rapidly developing countries, largely in Asia, such as China and India. Poorer developing countries’ access to the fruits of AI will be more limited and they could lose competitive advantage in a number of labour-intensive industries.

Then there is growing inequality between the companies controlling AI systems and other economic actors. Just as companies such as Microsoft, Apple, Google and Meta grew rich as computing, the Internet and social media grew and developed, so these and other companies at the forefront of AI development and supply will grow rich, along with their senior executives. The question then is how much will other companies and individuals benefit. Partly, it will depend on how much production can be adapted and developed in light of the possibilities that AI presents. Partly, it will depend on competition within the AI software market. There is, and will continue to be, a rush to develop and patent software so as to deliver and maintain monopoly profits. It is likely that only a few companies will emerge dominant – a natural oligopoly.

Then there is the likely growth of inequality between individuals. The reason is that AI will have different effects in different parts of the labour market.

The labour market

In some industries, AI will enhance labour productivity. It will be a tool that will be used by workers to improve the service they offer or the items they produce. In other cases, it will replace labour. It will not simply be a tool used by labour, but will do the job itself. Workers will be displaced and structural unemployment is likely to rise. The quicker the displacement process, the more will such unemployment rise. People may be forced to take more menial jobs in the service sector. This, in turn, will drive down the wages in such jobs and employers may find it more convenient to use gig workers than employ workers on full- or part-time contracts with holidays and other rights and benefits.

But the development of AI may also lead to the creation of other high-productivity jobs. As the Goldman Sachs article linked below states:

Jobs displaced by automation have historically been offset by the creation of new jobs, and the emergence of new occupations following technological innovations accounts for the vast majority of long-run employment growth… For example, information-technology innovations introduced new occupations such as webpage designers, software developers and digital marketing professionals. There were also follow-on effects of that job creation, as the boost to aggregate income indirectly drove demand for service sector workers in industries like healthcare, education and food services.

Nevertheless, people could still lose their jobs before being re-employed elsewhere.

The possible rise in structural unemployment raises the question of retraining provision and its funding and whether workers would be required to undertake such retraining. It also raises the question of whether there should be a universal basic income so that the additional income from AI can be spread more widely. This income would be paid in addition to any wages that people earn. But a universal basic income would require finance. How could AI be taxed? What would be the effects on incentives and investment in the AI industry? The Guardian article, linked below, explores some of these issues.

The increased GDP from AI will lead to higher levels of consumption. The resulting increase in demand for labour will go some way to offsetting the effects of workers being displaced by AI. There may be new employment opportunities in the service sector in areas such as sport and recreation, where there is an emphasis on human interaction and where, therefore, humans have an advantage over AI.

Another issue raised is whether people need to work so many hours. Is there an argument for a four-day or even three-day week? We explored these issues in a recent blog in the context of low productivity growth. The arguments become more compelling when productivity growth is high.

Other issues

AI users are not all benign. As we are beginning to see, AI opens the possibility for sophisticated crime, including cyberattacks, fraud and extortion as the technology makes the acquisition and misuse of data, and the development of malware and phishing much easier.

Another set of issues arises in education. What knowledge should students be expected to acquire? Should the focus of education continue to shift towards analytical skills and understanding away from the simple acquisition of knowledge and techniques. This has been a development in recent years and could accelerate. Then there is the question of assessment. Generative AI creates a range of possibilities for plagiarism and other forms of cheating. How should modes of assessment change to reflect this problem? Should there be a greater shift towards exams or towards project work that encourages the use of AI?

Finally, there is the issue of the sort of society we want to achieve. Work is not just about producing goods and services for us as consumers – work is an important part of life. To the extent that AI can enhance working life and take away a lot of routine and boring tasks, then society gains. To the extent, however, that it replaces work that involved judgement and human interaction, then society might lose. More might be produced, but we might be less fulfilled.

Articles

Questions

  1. Which industries are most likely to benefit from the development of AI?
  2. Distinguish between labour-replacing and labour-augmenting technological progress in the context of AI.
  3. How could AI reduce the amount of labour per unit of output and yet result in an increase in employment?
  4. What people are most likely to (a) gain, (b) lose from the increasing use of AI?
  5. Is the distribution of income likely to become more equal or less equal with the development and adoption of AI? Explain.
  6. What policies could governments adopt to spread the gains from AI more equally?

In September 2023, the Stonegate Group, the largest pub company in the UK with around 4,500 premises, announced that it was going to start increasing the pint of beer by 20p during busy periods. There was an immediate backlash on social media with many customers calling on people to boycott Stonegate’s pubs such as the Slug & Lettuce and Yates.

This announcement is an example of dynamic pricing, where firms with market power adjust prices relatively quickly in response to changing market conditions: i.e. to changes in demand and supply.

Traditionally, prices set by firms in most retail markets have been less flexible. They may eventually adjust to changing market conditions, but this could take weeks or even months. If a product proves to be popular on a particular day or time, firms have typically left the price unchanged with the item selling out and customers facing empty shelves. If the product is unpopular, then the firm is left with unsold stock.

One business that makes extensive use of dynamic pricing is Amazon. Prices for popular items on Amazon Marketplace change every 10 minutes and can fluctuate by more than 20 per cent in just one hour.

Conditions for dynamic pricing to operate

The Amazon example helps to illustrate the conditions that must be in place for a firm to implement dynamic pricing successfully. These include:

  • The capacity to collect and process large amounts of accurate real-time data on the demand for and supply of particular items i.e. the number of sales or the interest in the product.
  • The ability to adjust prices in a timely manner in response to changing market conditions indicated by the data.
  • Effectively communicating the potential advantages of the pricing strategy to consumers.

Consumer attitudes

The last point is an interesting one. As the Stonegate example illustrates, consumers tend to dislike dynamic pricing, especially when price rises reflect increases in demand. A previous article on this website discussed the unpopularity of dynamic pricing amongst fans in the ticket market for live musical events.

The precise reason for the increase in demand, can also have an impact on consumer attitudes. For example, following a mass shooting at a subway station in New York in April 2022, the authorities shut down the underground system. This led to a surge in demand for taxis and this was picked up by the algorithm/software used by Uber’s dynamic pricing system. Fares for Uber cars began to rise rapidly, and people started to post complaints on social media. Uber responded by disabling the dynamic pricing system and capping prices across the city. It also announced that it would refund customers who were charged higher prices after the subway system shut down.

There is a danger for businesses that if they fail to communicate the policy effectively, annoyed customers may respond by shopping elsewhere. However, if it is implemented successfully then it can help businesses to increase their revenue and may also have some advantages for consumers.

The growing popularity of dynamic pricing

It has been widely used in airline and hotel industries for many years. Robert Cross, who chairs a revenue management company predicts that ‘It will eventually be everywhere’.

More businesses in the UK appear to be using dynamic pricing. In a consumer confidence survey undertaken for Barclays in September 2023, 47 per cent of the respondents had noticed more examples of companies raising prices for goods/services in response to higher demand at peak times.

It has traditionally been more difficult for bricks-and-mortar retailers to implement dynamic pricing because of the costs of continually changing prices (so-called ‘menu costs’). However, this might change with the increasing use of electronic shelf labels.

It will be interesting to see if dynamic pricing becomes more widespread in the future or whether opposition from consumers limits its use.

Articles

Questions

  1. Explain the difference between surge and dynamic pricing.
  2. Using a diagram, explain how dynamic pricing can increase a firm’s revenue.
  3. Discuss both the advantages and disadvantages for consumers of firms using dynamic pricing.
  4. How might dynamic pricing influence consumer behaviour if it alters their expectations about future price changes.
  5. There is some evidence that the use of dynamic pricing is less unpopular amongst 18–24-year-olds than other age groups. Suggest some possible reasons why this might be the case.
  6. Using the concept of loss aversion, consider some different ways that a business could present a new dynamic pricing policy to its customers.

In a recent blog post on this site about the Microsoft/ Activision Blizzard merger, the European Commission had just reached a decision to approve the merger subject to remedies, but the investigations in the USA and UK were still ongoing. Since then, the merger has been approved by competition authorities around the world, including in the USA and UK, and thus the merger has gone through.

However, there were some differences in the way the case unfolded under the regulation of these three competition authorities.

The European Commission’s (EC) decision

The European Commission (EC) was the first to give the merger the green light. The EC’s in-depth investigation revealed concerns about the market for the distribution of games via cloud game streaming services. In particular, the concern was related to the possibility that Microsoft might make Activision’s games exclusive to its own cloud game streaming service (Game Pass Ultimate) and restrict access from competing cloud game streaming providers.

The EC argued that this in turn could strengthen Microsoft’s position in the market for PC operating systems, as Microsoft may have an incentive to limit or reduce the quality of the streaming of Activision’s games on PC’s which do not use the Windows operating system.

Thus, while the merger was approved, this was subject to remedies. These remedies included 10-year licensing commitments from Microsoft, as outlined in the EC’s press release:

These licenses will ensure that gamers that have purchased one or more Activision games on a PC or console store, or that have subscribed to a multi-game subscription service that includes Activision games, have the right to stream those games with any cloud game streaming service of their choice and play them on any device using any operating system.

This type of remedy is called a behavioural remedy and often requires the merging firms to commit to taking particular actions post-merger. Unlike structural remedies (which may for example, require the merging firms to sell off an entire business unit), behavioural remedies often require monitoring and enforcement by competition authorities. The EC argued that the deal, with these behavioural remedies, could strengthen competition in the market for cloud gaming.

The Federal Trade Commission’s (FTC) decision

The FTC, in the USA, had similar concerns to those of the EC related to the cloud gaming market. These were outlined in the FTC’s press release:

[The deal] would enable Microsoft to suppress competitors to its Xbox gaming consoles and its rapidly growing subscription content and cloud-gaming business.

The FTC also argued that when Microsoft had previously acquired gaming content, it had made this content exclusive to Microsoft consoles. This could result in higher prices, and reduced quality, choice and innovation. To this end, the FTC appealed in an attempt to block the deal, but the Court ruled in favour of the deal going ahead.

During this time, Microsoft announced that it had committed to keeping Call of Duty on Sony’s PlayStation after the merger, and this likely contributed towards the court’s decision. Hence, the FTC was unsuccessful in its attempt to halt the merger.

The Competition and Markets Authority’s (CMA) decision

The final hurdle remaining for Microsoft, was the CMA’s approval. As outlined in a previous blog post on this site, the CMA’s phase 2 investigation revealed similar concerns about the supply of cloud gaming services (amongst concerns related to the market for the supply of console gaming services, which were later dispelled), and whilst Microsoft offered some commitments similar to those accepted by the EC, the CMA did not deem these to be sufficient to address its concerns and thus prohibited the merger.

The CMA’s published remedies guidance suggests that the regulator has a preference for structural remedies over behavioural remedies. One of the reasons for this is because of the requirement to monitor and enforce the commitments, and this therefore formed part of the CMA’s reasons for not accepting the remedies. Unsurprisingly, Microsoft appealed this decision to the UK’s Competition Appeals Tribunal (CAT), probably partly driven by the fact that the EC accepted similar remedies to those rejected by the CMA. However, Microsoft and the CMA agreed that if the appeal was paused, Microsoft could propose a new deal.

The new deal: did the CMA make a U-turn?

In August 2023, Microsoft submitted a new restructured deal for the CMA to review. As described by the Chief Executive of the CMA, this deal was “substantially different from what was put on the table previously” and was therefore investigated as a separate merger case under the CMA’s phase 1 processes.

The new deal meant that Microsoft would no longer be purchasing the cloud streaming rights held by Activision. Instead, the cloud streaming rights would be sold to an independent third-party game publisher – Ubisoft. This means that Microsoft will not be in control of the cloud gaming rights for Activision’s gaming content (outside of the EEA), and therefore will not be able to restrict its competitors’ access to Activision’s games, which was one of the main concerns outlined by the CMA based on the initial merger proposal. The new deal also opens up the possibility that Activision’s games will be made available on cloud gaming services that run on a non-Windows operating system.

On 13 October, the CMA approved this deal, subject to the cloud gaming rights being sold to Ubisoft, and some subsequent commitments from Microsoft in relation to its relationship with Ubisoft post-merger, as outlined in the CMA’s final report. However, the Chief Executive of the CMA has emphasised that they are unhappy with the way that Microsoft dealt with negotiating the approval of the merger:

But businesses and their advisors should be in no doubt that the tactics employed by Microsoft are no way to engage with the CMA. Microsoft had the chance to restructure during our initial investigation but instead continued to insist on a package of measures that we told them simply wouldn’t work. Dragging out proceedings in this way only wastes time and money.

What’s next in big tech?

While the merger deal has now gone through, the FTC has recently re-opened its case against Microsoft, which will continue to unfold over the next couple of months until December when the case will appear in Court. This means it is possible that the FTC could attempt to undo the merger, though this would be challenging.

In the tech market more broadly, the CMA has recently launched a market investigation into cloud services. While the focus of this blog post was on cloud gaming, cloud services are now increasingly being used by many businesses. The CMA’s issues statement suggests that a key focus of its investigation will be on the ability for customers to switch between cloud service providers. Microsoft is one of the largest providers of cloud services in the UK, and therefore it is inevitable that it will be under scrutiny. Given all three regulators’ recent efforts to ‘crackdown’ on big tech, this is just one of a series of cases that will be interesting to see unfold.

Articles

Competition authorities documentation

Questions

  1. Discuss the effectiveness of behavioural remedies vs structural remedies for a merger.
  2. Why might the competition authorities have been concerned about the possibility of Microsoft making Activision’s games exclusive to its own cloud game streaming service? Is exclusive dealing always anti-competitive?
  3. Why was the transfer of the cloud game streaming rights to Ubisoft seen as a suitable remedy?

Policy makers have become increasingly concerned about what the US Federal Trade Commission (FTC) describe as ‘negative option marketing’. These are marketing deals that contain the following feature:

a term or condition that allows a seller to interpret a customer’s silence, or failure to take affirmative action, as an acceptance of an offer.

For example, companies such as Amazon, Apple, Spotify and Netflix may offer students a 3-month free trial or 3-month introductory offer (at a special lower price) for movie and music streaming services. However, many of these subscription contracts contain an example of negative option marketing – auto renewal clauses.

Problems with auto-renewal contracts

The inclusion of an auto-renewal clause means that if a customer fails to cancel the subscription at the end of the three-month period, the subscription automatically reverts to its full price. The full-price contract then continues to roll-over indefinitely unless the customer takes a pre-specified action to terminate the deal. Inattentive consumers could end up paying subscription prices that far exceed their willingness to pay.

Auto-renewal contracts are not just an issue with free trials/introductory offers. Some people may purchase subscription contracts at the full price and then forget about them. These consumers could end up paying fees for months after they have effectively stopped using the service.

Another potential problem with the use of auto-renewal contracts, is businesses deliberately making the cancellation process more complex than it needs to be. In many cases it takes just one click to sign up for the subscription, but multiple clicks through a series of menus to cancel. Some businesses do not provide consumers with the option to cancel online and, instead, they are forced to phone a number that is often very busy.

Effects on consumer welfare

To what extent do these problems caused by auto-renewal reduce consumer welfare? What evidence do we have?

Research by Citizens Advice found that just over one in four people (26 per cent) had signed up to a subscription by accident. 58 per cent of this group forgot to cancel a free trial, while 21 per cent did not realise that the free trial would automatically roll-over to a full-price subscription. This seems to be a particular issue for those on low incomes with 46 per cent of people on Universal Credit signing up to a subscription by accident.

Analysis by the Department for Business and Trade (DBT) has tried to estimate the value of these unwanted subscriptions. The study found that consumers spent £602 million on unwanted subscriptions where a free or reduced-price trial had been rolled over to the full price. The same study also found that £573 million was spent on subscriptions that people had forgotten about.

One in five people in the Citizens Advice study who tried to cancel a subscription found the process difficult. The DBT estimates that cancellation difficulties led to £382 million being spent on unwanted subscriptions.

UK Government response

In response to these findings, the government introduced the Digital Markets, Competition and Consumers Bill into Parliament in April 2023.

Provisions in the Bill seek to standardise the information that businesses must provide consumers before they sign up for subscription contracts. For example, in the future, firms will have to display prominently (a) any auto-renewal provisions, (b) whether the price increases after a specified period, (c) details about how consumers can terminate the contract and (d) cooling-off periods.

The Bill also stipulates that businesses will have to provide consumers with reminders when a free/reduced-price trial period is about to end and/or a subscription is about to renew automatically. They must also make it easy to exit contracts and remove any unnecessary steps.

The government initially considered an additional measure that would force businesses to provide consumers with the option to take out any subscription without auto-renewal.

Citizens Advice strongly supported this policy. They argued that not only should consumers be given the choice, but that auto-renewal should not be the default i.e. people would have to opt-in to auto-renewal subscriptions.

However, after the consultation process for the Bill, the government decided against introducing this additional measure. Businesses have also argued that the other elements of the policy are too prescriptive.

Articles

Government documents

Questions

  1. Outline some theories from behavioural economics that might help to explain why people sometimes end up with unwanted subscriptions.
  2. Discuss some of the potential benefits of auto-renewal subscriptions for both consumers and firms.
  3. Using behavioural economic theory, explain some of the potential disadvantages for businesses of using auto-renewal subscriptions.
  4. When businesses deliberately make the cancellation process more complex than it needs to be, it is referred to as an example of ‘sludge’. Explain the meaning of ‘sludge’ in more detail, referring to some different examples in your answer.
  5. What difference do you think it would make to the number of people signing up for auto-renewal subscriptions if you had to opt-in as opposed to opting out? Explain your answer.
  6. Another policy would be to force firms to cancel subscription contracts if there is evidence that consumers have not used the service for a long period of time. Discuss some of the advantages and disadvantages of this measure.
  7. Explain what are meant by ‘dark patterns’. How may the choice architecture on some sites actually hinder consumer choice?