Category: Economics for Business: Ch 07

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?

Long queues at petrol pumps, with many filling stations running out of fuel; fears of shortages of food and various other items in supermarkets; orders by shops and warehouses unfilled or delayed. These have been some of the headlines in the UK in recent days.

The immediate problem is a shortage of over 100 000 lorry drivers, with thousands of drivers from EU countries, who were previously living and working in the UK, having returned to their home countries. Their numbers have not been replaced by British drivers, a problem exacerbated by a decline in HGV tests during the pandemic. Thus the supply of lorry drivers has fallen.

At the same time, as the economy recovers from the COVID-19 pandemic, aggregate demand has risen and with it the demand for lorry drivers.

The shortage is pushing up wages somewhat, but not enough to eliminate the shortage. What is more, the supply of lorry drivers is relatively wage inelastic: a higher wage does not attract many more drivers into the market. Also the demand is also relatively wage inelastic: a higher wage does not do much to dampen the demand for drivers.

But why has this happened? Why has the supply of drivers fallen and why is it inelastic? And what will happen in the coming months? The three main causes are Brexit, COVID-19 and working conditions.

Brexit

With Brexit, many EU workers left the UK, finding life and working conditions more conducive in the EU. Many EU drivers had faced discrimination and felt that they were not welcome in the UK. It has been difficult finding replacement drivers from the EU as the UK’s immigration system, which now applies to the EU as well as other countries, prioritises workers who are classified as high-skilled, and these do not include lorry drivers.

Those EU drivers who do want to stay as UK residents are finding that settled status or visas are not easy to achieve and involve filling in various documents, which can be an onerous and time-consuming process. As the writer of the first linked bog below, who is a Polish worker in the transport industry, states, ‘Would you rather come to Britain and jump through all the hoops, or choose any of the well-paying EU countries, for example, Germany that, if you live in Western Poland, is just a short drive across (virtually non-existent thanks to Schengen) border?’ Another problem is that with EU driving licences: it is harder for potential employers to check on their status and thus they may prefer to employ UK drivers. This, again, puts off EU drivers from seeking to stay in the UK.

Even in the case of EU drivers living in the EU but delivering to the UK there are problems. First there are the dangers for drivers of boarding ferries in France, where people from migrant camps seek to board lorries to get passage to the UK, often threatening drivers. If illegal migrants do succeed in boarding a trailer unseen by the driver, the driver can then be arrested in the UK. According to the Polish blogger, it’s ‘no surprise that I hear more and more drivers who, when taking on new jobs, demand guarantees from their employers that they won’t be sent to the UK’.

Then there is a decline in the system known as ‘cabotage’. This is where an EU driver delivers from the EU to destination A in the UK and takes back a load to the EU from destination B in the UK. To avoid having to travel empty between the two UK destinations, the driver could pick up a load to take from A to B. With a fall in imports and exports from and to the EU following Brexit, there are fewer EU lorries on UK roads. This means that there is now less capacity for transporting loads within the UK.

There has also been a large rise in ‘red tape’ associated with post-Brexit customs checks and border controls. This means that lorries can be held up at ports. This makes it much less attractive for EU haulage companies to export to the UK rather than to other EU countries, where paperwork is minimal. In addition, m many drivers are paid by the length of the journey rather than by the time spent, so delays result in them earning less per hour. Full checks have not been introduced yet. When they are, in January and July next year, the problem will be worse.

Tax changes make it more difficult for drivers to avoid taxes by claiming that they are self employed when they are in reality employees. This too is discouraging drivers from the EU from moving to or staying in the UK since many would now (since April 2021) be paying more tax.

COVID-19

Another contributing factor to the shortage of drivers has been COVID-19 and the government’s response to it. COVID rates are considerably higher in the UK than in most EU countries and, not surprisingly, many EU drivers are afraid to come to the UK.

The pandemic led to fewer HGV driver tests, with 25 000 fewer candidates passing their test in 2020 than in 2019. It takes time to train new drivers and then to test them. However, even if there had been no reduction in HGV drivers passing their tests, there would still be a significant shortage of qualified drivers.

A further problem with the effects of COVID-19 on the economy has been the initial recession and then the bounce back. The sheer size of the bounce back has exacerbated the problem of driver shortages, which otherwise would have been slower to develop, giving the market more time to respond. Real GDP grew by 5.5% from 2021 Q1 to 2021 Q2, giving an annual growth rate of 23.6%. Nevertheless, GDP was still some 3.3% below its 2019 Q3 level.

Pay and working conditions

Working conditions are very poor for many drivers. The following are common complaints:

  • Driving jobs are often very tightly controlled, with computer monitoring and little freedom for the driver. Some cabs have cameras aimed at the drivers so that they can be constantly monitored.
  • Drivers are subject to very stringent health and safety regulations, such as not being allowed to drive longer than a certain time, even when they are queuing in congested traffic. Whilst many of these regulations are desirable to protect both the public’s and the driver’s safety, they can discourage drivers from entering or staying in the industry. And some regulations are hard to justify on safety grounds (see second linked article below, point 13).
  • Just-in-time deliveries at supermarkets, regional distribution centres (warehouses) or factories make timing very important and add considerable stress to drivers who may face abuse if they are late, even though it was not their fault, with their employer perhaps facing a fine. And yet on other occasions they might have to wait a long time to offload if drivers before them have been delayed, and often the conditions in waiting areas are poor with few if any facilities.
  • Drivers often feel a lack of respect from employers, trainers and the general public.
  • Rest and refreshment facilities are often very poor in the UK and generally much worse than in the EU. In the EU, motorway service areas have better parking, toilets, showers and shops. Restaurants are better and cheaper. Dedicated truck stops have supermarkets, laundrettes, showers or even open-air gyms dedicated to making drivers’ lives easier and more pleasant. The UK by contrast often has very poor facilities. Unlike in most EU motorway services, drivers have to pay to park and are faced with poor toilet and eating facilities. ‘Meanwhile, a typical British truck stop is some dusty yard full of potholes on the side of some industrial estate with a portaloo and a “greasy spoon” burger van parked next to it.’
  • Hours are long. Even though driving hours are restricted to 10 hours per day (recently extended to 11 hours), the average working day may be much longer as drivers have to wait at distribution centres, fill in increasing amounts of paperwork and help load or unload their vehicle. Also drivers may have to work variable shifts, which leads to disturbed sleeping patterns.
  • The work is often physically demanding, especially when a large part of the job involves loading and unloading and moving items from the lorry to where the customer wants them.
  • Many vehicles are hard and unpleasant to drive, with leased vehicles often low-spec, dirty, uncomfortable and poorly maintained.
  • Many of the jobs are agency jobs that do not offer stable employment.

Although pay is higher than in some parts of the labour market where there are shortages, such as social care and hospitality, pay per hour is still relatively poor when compared with many industries which have better conditions of employment.

The future

The government is allowing more foreign workers into the UK from this month (October); more training places will be offered for potential drivers and the number of driving tests will increase; the government is also encouraging retired drivers or those who have left driving for other jobs to return to the industry.

However, there are shortages of drivers in other EU countries and so it will be difficult to attract additional drivers to the UK from the EU. What is more, with wages and working conditions remaining poor and the labour market remaining tight in other sectors, it might be hard to fill new training places and encourage workers to return to driving. Also, with the average age of drivers being 55, it is likely that the outflow of workers from driving jobs could be large in the coming years.

Articles

Questions

  1. Why are the supply of and demand for lorry drivers relatively wage inelastic?
  2. Use a marginal productivity diagram to explain the current situation in the market for lorry drivers.
  3. What policy measures could be adopted to increase the supply of lorry drivers? How successful would these be?
  4. Is it ‘rational’ for consumers to ‘panic buy’ fuel and other products in short supply?
  5. Find out why there is a shortage of lorry drivers in the EU. Are any of the explanations similar to those in the UK?
  6. What are the macroeconomic implications of a shortage of lorry drivers and other key workers?

Bubbles

Speculation in markets can lead to wild swings in prices as exuberance drives up prices and
pessimism leads to price crashes. When the rise in price exceeds underlying fundamentals, such as profit, the result is a bubble. And bubbles burst.

There have been many examples of bubbles throughout history. One of the most famous is that of tulips in the 17th century. As Box 2.4 in Essential Economics for Business (6th edition) explains:

Between November 1636 and February 1637, there was a 20-fold increase in the price of tulip bulbs, such that a skilled worker’s annual salary would not even cover the price of one bulb. Some were even worth more than a luxury home! But, only three months later, their price had fallen by 99 per cent. Some traders refused to pay the high price and others began to sell their tulips. Prices began falling. This dampened demand (as tulips were seen to be a poor investment) and encouraged more people to sell their tulips. Soon the price was in freefall, with everyone selling. The bubble had burst .

Another example was the South Sea Bubble of 1720. Here, shares in the South Sea Company, given a monopoly by the British government to trade with South America, increased by 900% before collapsing through a lack of trade.

Another, more recent, example is that of Poseidon. This was an Australian nickel mining company which announced in September 1969 that it had discovered a large seam of nickel at Mount Windarra, WA. What followed was a bubble. The share price rose from $0.80 in mid-1969 to a peak of $280 in February 1970 and then crashed to just a few dollars.

Other examples are the Dotcom bubble of the 1990s, the US housing bubble of the mid-2000s and BitCoin, which has seen more than one bubble.

Bubbles always burst eventually. If you buy at a low price and sell at the peak, you can make a lot of money. But many will get their fingers burnt. Those who come late into the market may pay a high price and, if they are slow to sell, can then make a large loss.

GameStop shares – an unlikely candidate for a bubble

The most recent example of a bubble is GameStop. This is a chain of shops in the USA selling games, consoles and other electronic items. During the pandemic it has struggled, as games consumers have turned to online sellers of consoles and online games. It has been forced to close a number of stores. In July 2020, its share price was around $4. With the general recovery in stock markets, this drifted upwards to just under $20 by 12 January 2021.

Then the bubble began.

Hedge fund shorting

Believing that the GameStop shares were now overvalued and likely to fall, many hedge funds started shorting the shares. Shorting (or ‘short selling’) is where investors borrow shares for a fee and immediately sell them on at the current price, agreeing to return them to the lender on a specified day in the near future (the ‘expiration date’). But as the investors have sold the shares they borrowed, they must now buy them at the current price on or before the expiration date so they can return them to the lenders. If the price falls between the two dates, the investors will gain. For example, if you borrow shares and immediately sell them at a current price of £5 and then by the expiration date the price has fallen to $2 and you buy them back at that price to return them to the lender, you make a £3 profit.

But this is a risky strategy. If the price rises between the two dates, investors will lose – as events were to prove.

The swarm of small investors

Enter the ‘armchair investor’. During lockdown, small-scale amateur investing in shares has become a popular activity, with people seeking to make easy gains from the comfort of their own homes. This has been facilitated by online trading platforms such as Robinhood and Trading212. These are easy and cheap, or even free, to use.

What is more, many users of these sites were also collaborating on social media platforms, such as Reddit. They were encouraging each other to buy shares in GameStop and some other companies. In fact, many of these small investors were seeing it as a battle with large-scale institutional investors, such as hedge funds – a David vs. Goliath battle.

With swarms of small investors buying GameStop, its share price surged. From $20 on 12 January, it doubled in price within two days and had reached $77 by 25 January. The frenzy on Reddit then really gathered pace. The share price peaked at $468 early on 28 January. It then fell to $126 less than two hours later, only to rise again to $354 at the beginning of the next day.

Many large investors who had shorted GameStop shares made big losses. Analytics firm Ortex estimated that hedge funds lost a total of $12.5 billion in January. Many small investors, however, who bought early and sold at the peak made huge gains. Other small investors who got the timing wrong made large losses.

And it was not just GameStop. Social media were buzzing with suggestions about buying shares in other poorly performing companies that large-scale institutional investors were shorting. Another target was silver and silver mines. At one point, silver prices rose by more than 10% on 1 February. However, money invested in silver is huge relative to GameStop and hence small investors were unlikely to shift prices by anything like as much as GameStop shares.

Amidst this turmoil, the US Securities and Exchange Commission (SEC) issued a statement on 29 January. It warned that it was working closely with other regulators and the US stock exchange ‘to ensure that regulated entities uphold their obligations to protect investors and to identify and pursue potential wrongdoing’. It remains to be seen, however, what it can do to curb the concerted activities of small investors. Perhaps, only the experience of bubbles bursting and the severe losses that can result will make small investors think twice about backing failing companies. Some Davids may beat Goliath; others will be defeated.

Articles

Data

Questions

  1. Distinguish between stabilising and destabilising speculation.
  2. Use a demand and supply diagram to illustrate destabilising speculation.
  3. Explain how short selling contributed to the financial crisis of 2007/8 (see Box 2.7 in Economics (10th edition) or Box 3.4 in Essentials of Economics (8th edition)).
  4. Why won’t shares such as GameStop go on rising rapidly in price for ever? What limits the rise?
  5. Find out some other shares that have been trending among small investors. Why were these specific shares targeted?
  6. How has quantitative easing impacted on stock markets? What might be the effect of a winding down of QE or even the use of quantitative tightening?

Economists are often criticised for making inaccurate forecasts and for making false assumptions. Their analysis is frequently dismissed by politicians when it contradicts their own views.

But is this fair? Have economists responded to the realities of the global economy and to the behaviour of people, firms, institutions and government as they respond to economic circumstances? The answer is a qualified yes.

Behavioural economics is increasingly challenging the simple assumption that people are ‘rational’, in the sense that they maximise their self interest by weighing up the marginal costs and benefits of alternatives open to them. And macroeconomic models are evolving to take account of a range of drivers of global growth and the business cycle.

The linked article and podcast below look at the views of 2019 Nobel Prize-winning economist Esther Duflo. She has challenged some of the traditional assumptions of economics about the nature of rationality and what motivates people. But her work is still very much in the tradition of economists. She examines evidence and sees how people respond to incentives and then derives policy implications from the analysis.

Take the case of the mobility of labour. She examines why people who lose their jobs may not always move to a new one if it’s in a different town. Partly this is for financial reasons – moving is costly and housing may be more expensive where the new job is located. Partly, however, it is for reasons of identity. Many people are attached to where they currently live. They may be reluctant to leave family and friends and familiar surroundings and hope that a new job will turn up – even if it means a cut in wages. This is not irrational; it just means that people are driven by more than simply wages.

Duflo is doing what economists typically do – examining behaviour in the light of evidence. In her case, she is revisiting the concept of rationality to take account of evidence on what motivates people and the way they behave.

In the light of workers’ motivation, she considers the implications for the gains from trade. Is free trade policy necessarily desirable if people lose their jobs because of cheap imports from China and other developing countries where labour costs are low?

The answer is not a clear yes or no, as import-competing industries are only part of the story. If protectionist policies are pursued, other countries may retaliate with protectionist policies themselves. In such cases, people working in the export sector may lose their jobs.

She also looks at how people may respond to a rise or cut in tax rates. Again the answer is not clear cut and an examination of empirical evidence is necessary to devise appropriate policy. Not only is there an income and substitution effect from tax changes, but people are motivated to work by factors other than take-home pay. Likewise, firms are encouraged to invest by factors other than the simple post-tax profitability of investment.

Podcast

Article

Questions

  1. In traditional ‘neoclassical’ economics, what is meant by ‘rationality’ in terms of (a) consumer behaviour; (b) producer behaviour?
  2. How might the concept of rationality be expanded to take into account a whole range of factors other than the direct costs and benefits of a decision?
  3. What is meant by bounded rationality?
  4. What would be the effect on workers’ willingness to work more or fewer hours as a result of a cut in the marginal income tax rate if (a) the income effect was greater than the substitution effect; (b) the substitution effect was greater than the income effect? Would your answers to (a) and (b) be the opposite in the case of a rise in the marginal income tax rate?
  5. Give some arguments that you consider to be legitimate for imposing controls on imports in (a) the short run; (b) the long run. How might you counter these arguments from a free-trade perspective?

Many of you may have heard of nudge – the idea that governments can help people make better decisions by carefully designing the way a policy is structured and presented. Have you heard of sludge?

The most widely cited example of a nudge is changing a default option. The default option is what happens if you do nothing. For example, when you start a new job, are you automatically enrolled into the pension scheme or do you have to do something (i.e. fill-in an on-line form) to opt-in to the scheme. Changing the default option to one of being automatically enrolled in a scheme seems to have a big impact on the choices people make.

Recently, policy makers have started referring to ‘sludge’. Sludge is the opposite of nudge: i.e. characteristics about design and presentation that make it more difficult for people to make good decisions. Some businesses may use sludge to encourage consumers to spend more on their goods than they ever intended.

One interesting application of sludge is in the design of websites – referred to as Dark Patterns. The following are a number of different categories of dark pattern:

The last example, Forced Continuity, refers to the use of free trial periods and automatic renewal of contracts. Many people sign up for a free trial or special offer with the full intention of cancelling before the account automatically switches to the standard price.

How often do people simply forget or never quite get around to cancelling these deals when the time comes? Some recent evidence comes from a YouGov Survey. Forty-seven percent of respondents to this survey reported having accidently signed up for an annual subscription because they either forgot or were unable to cancel their account. The estimated total cost of unwanted subscriptions per year was £837 million. The same YouGov survey found that one in eight people kept paying for over four months before finally getting around to cancelling.

One business has recently seen an opportunity to help people deal with this problem. Free Trial Surfing is a new App developed by the company, Do Not Pay. It became available via Apple’s App store in September but is not yet compatible with Android devices. It works in the following way.

When customers download the app, they receive a new credit card number and a false name. Although Do Not Pay register the card details to their own business, the customer can use the information to sign up for a free trial of a good or service. In effect, Do Not Pay acts as an intermediary between the firm offering the promotion and the user. Once the free trial period ends, the app automatically cancels the subscription. Importantly, the new credit card details only work when someone signs up for a free trial. Consumers cannot use it to purchase any other products. Obviously one major drawback to the app is that a consumer would have to sign up again with their own personal credit card if they wanted to continue to use the service after the free trial ends. Businesses may also try to block the use of Do Not Pay credit card numbers for their services.

It will be interesting to see if other businesses come up with interesting ways of helping us to deal with sludge.

Articles

Questions

  1. Give three different examples of nudges.
  2. What policies do government typically use to change peoples’ behaviour? How do these traditional approaches differ from nudge?
  3. Identify some biases from behavioural economics that might help to explain why so many people fail to cancel subscriptions once a free trial period ends.
  4. Choose two other types of dark pattern and explain how they might prevent people from making decisions that maximise their own welfare.