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Lockdown – again.  Is it worth it?

Mid-December saw a rapid rise in coronavirus cases in London and the South East and parts of eastern and central southern England. This was due to a new strain of Covid, which is more infectious. In response, the UK government introduced a new tier 4 level of restrictions for these areas from 20 December. These amount to a complete lockdown. The devolved administrations also announced lockdowns. In addition, the Christmas relaxation of rules was tightened across the UK. Households (up to three) were only allowed to get together on Christmas day and not the days either side (or one day between 23 and 27 December in the case of Northern Ireland). Tier 4 residents were not allowed to visit other households even on Christmas day.

The lockdowns aimed to slow the spread of the virus and reduce deaths. But this comes at a considerable short-term economic cost, especially to the retail and leisure sectors, which are required to close while the lockdowns remain in force. In taking the decision to introduce these tougher measures, the four administrations had to weigh up the benefits of reduced deaths and illness and pressure on the NHS against the short-term economic damage. As far a long-term economic damage is concerned, this might be even greater if lockdowns were not imposed and the virus spread more rapidly.

In a blog back in September, we examined the use of cost–benefit analysis (CBA) to aid decision-making about such decisions. The following is an updated version of that blog.

The use of cost–benefit analysis

It is commonplace to use cost–benefit analysis (CBA) in assessing public policies, such as whether to build a new hospital, road or rail line. Various attempts in the past few months have been made to use CBA in assessing policies to reduce the spread of the coronavirus. These have involved weighing up the costs and benefits of national or local lockdowns or other containment measures. But, as with other areas where CBA is used, there are serious problems of measuring costs and benefits and assessing risks. This is particularly problematic where human life is involved and where a value has to be attached to a life saved or lost.

The first step in a CBA is to identify the benefits and costs of the policy.

Identifying the benefits and costs of the lockdown

The benefits of the lockdown include lives saved and a reduction in suffering, not only for those who otherwise would have caught the virus but also for their family and friends. It also includes lives saved from other diseases whose treatment would have been put (even more) on hold if the pandemic had been allowed to rage and more people were hospitalised with the virus. In material terms, there is the benefit of saving in healthcare and medicines and the saving of labour resources. Then there are the environmental gains from less traffic and polluting activities.

On the cost side, there is the decline in output from businesses being shut and people being furloughed or not being able to find work. There is also a cost if schools have to close and children’s education is thereby compromised. Then there is the personal cost to people of being confined to home, a cost that could be great for those in cramped living conditions or in abusive relationships. Over the longer term, there is a cost from people becoming deskilled and firms not investing – so-called scarring effects. Here there are the direct effects and the multiplier effects on the rest of the economy.

Estimating uncertain outcomes

It is difficult enough identifying all the costs and benefits, but many occur in the future and here there is the problem of estimating the probability of their occurrence and their likely magnitude. Just how many lives will be saved from the policy and just how much will the economy be affected? Epidemiological and economic models can help, but there is a huge degree of uncertainty over predictions made about the spread of the disease, especially with a new strain of the virus, and the economic effects, especially over the longer term.

One estimate of the number of lives saved was made by Miles et al. in the NIESR paper linked below. A figure of 440 000 was calculated by subtracting the 60 000 actual excess deaths over the period of the first lockdown (March to June 2020) from a figure of 500 000 lives lost which, according to predictions, would have been the consequence of no lockdown. However, the authors acknowledge that this is likely to be a considerable overestimate because:

It does not account for changes in behaviour that would have occurred without the government lockdown; it does not count future higher deaths from side effects of the lockdown (extra cancer deaths for example); and it does not allow for the fact that some of those ‘saved’ deaths may just have been postponed because when restrictions are eased, and in the absence of a vaccine or of widespread immunity, deaths may pick up again.

Some help in estimating likely outcomes from locking down or not locking down the economy can be gained by comparing countries which have taken different approaches. The final article in the first list below compares the approaches in the UK and Sweden. Sweden had much lighter control measures than the UK and did not impose a lockdown. Using comparisons of the two approaches, the authors estimate that some 20 000 lives were saved by the lockdown – considerably less than the 440 000 estimate.

Estimating the value of a human life

To assess whether the saving of 20 000 lives was ‘worth it’, a value would have to be put on a life saved. Although putting a monetary value on a human life may be repugnant to many people, such calculations are made whenever a project is assessed which either saves or costs lives. As we say in the 10th edition of Economics (page 381):

Some people argue ‘You can’t put a price on a human life: life is priceless.’ But just what are they saying here? Are they saying that life has an infinite value? If so, the project must be carried out whatever the costs, and even if other benefits are zero! Clearly, when evaluating lives saved from the project, a value less than infinity must be given.
 
Other people might argue that human life cannot be treated like other costs and benefits and put into mathematical calculations. But what are these people saying? That the question of lives saved should be excluded from the cost–benefit study? If so, the implication is that life has a zero value! Again this is clearly not the case.

In practice, there are two approaches used to measure the value of a human life.

The first uses the value of a statistical life (VSL). This is based on the amount extra the average person would need to be paid to work in a job where there is a known probability of losing their life. So if people on average needed to be paid an extra £10 000 to work in a job with a 1% chance of losing their life, they would be valuing a life at £1 000 000 (£10 000/0.01). To avoid the obvious problem of young people’s lives being valued the same as old people’s ones, even though a 20 year-old on average will live much longer than a 70 year-old, a more common measure is the value of a statistical life year (VSLY).

A problem with VSL or VSLY measures is that they only take into account the quantity of years of life lost or saved, not the quality.

A second measure rectifies this problem. This is the ‘quality of life adjusted year (QALY)’. This involves giving a value to a year of full health and then reducing it according to how much people’s quality of life is reduced by illness, injury or poverty. The problem with this measure is the moral one that a sick or disabled person’s life is being valued less than the life of a healthy person. But it is usual to make such adjustments when considering medical intervention with limited resources.

One adjustment often made to QALYs or VSLYs is to discount years, so that one year gained would be given the full value and each subsequent year would be discounted by a certain percentage from the previous year – say, 3%. This would give a lower weighting to years in the distant future than years in the near future and hence would reduce the gap in predicted gains from a policy between young and old people.

Cost–effectiveness analysis (CEA)

Even using QALYs, there is still the problem of measuring life and health/sickness. A simpler approach is to use cost–effectiveness analysis (CEA). This takes a social goal, such as reducing the virus production rate (R) below 1 (e.g. to 0.9), and then finding the least-cost way of achieving this. As Mark Carney says in his third Reith Lecture:

As advocated by the economists Nick Stern and Tim Besley, the ideal is to define our core purpose first and then determine the most cost-effective interventions to achieve this goal. Such cost–effectiveness analysis explicitly seeks to achieve society’s values.

Cost–effectiveness analysis can take account of various externalities – as many of the costs will be – by giving them a value. For example, the costs of a lockdown to people in the hospitality sector or to the education of the young could be estimated and included in the costs. The analysis can also take into account issues of fairness by identifying the effects on inequality when certain groups suffer particularly badly from Covid or lockdown policies – groups such as the poor, the elderly and children. Achieving the goal of a specific R for the least cost, including external costs and attaching higher weights on the effects on certain groups then becomes the goal. As Carney says:

R brings public health and economics together. Relaxations of restrictions increase R, with economic, health and social consequences. A strategic approach to Covid is the best combination of policies to achieve the desired level of infection control at minimum economic cost with due respect for inequality, mental health and other social consequences, and calculating those costs then provides guidance when considering different containment strategies. That means paying attention to the impact on measures of fairness, the social returns to education, intergenerational equity and economic dynamism.

Conclusion

Given the uncertainties surrounding the measurement of the number of lives saved and the difficulties of assigning a value to them, and given the difficulties of estimating the economic and social effects of lockdowns, it is not surprising that the conclusions of a cost–benefit analysis, or even a cost–effectiveness analysis of a lockdown will be contentious. But, at least such analysis can help to inform discussion and drive future policy decisions. And a cost–effectiveness analysis can be a practical way of helping politicians reach difficult decisions about life and death and the economy.

Articles (original blog)

Articles (additional)

Questions

  1. What are the arguments for and against putting a monetary value on a life saved?
  2. Are QALYs the best way of measuring lives saved from a policy such as a lockdown?
  3. Compare the relative merits of cost–benefit analysis and cost–effectiveness analysis.
  4. If the outcomes of a lockdown are highly uncertain, does this strengthen or weaken the case for a lockdown? Explain.
  5. What specific problems are there in estimating the number of lives saved by a lockdown?
  6. How might the age distribution of people dying from Covid-19 affect the calculation of the cost of these deaths (or the benefits or avoiding them)?
  7. How might you estimate the costs to people who suffer long-term health effects from having had Covid-19?
  8. What are the arguments for and against using discounting in estimating future QALYs?
  9. The Department of Transport currently uses a figure of £1 958 303 (in 2018 prices) for the value of a life saved from a road safety project. Find out how this is figure derived and comment on it. See Box 12.5 in Economics 10th edition and Accident and casualty costs, Tables RAS60001 and RA60003, (Department of Transport, 2019).
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The magic money forest

The BBC podcast linked below looks at the use of quantitative easing since 2009 and especially the most recent round since the onset of the pandemic.

Although QE was a major contributor to reducing the depth of the recession in 2009–10, it was barely used from 2013 to 2020 (except for a short period in late 2016/early 2017). The Coalition and Conservative governments were keen to get the deficit down. In justifying pay restraint and curbing government expenditure, Prime Ministers David Cameron and Theresa May both argued that there ‘was no magic money tree’.

But with the severely dampening effect of the lockdown measures from March 2020, the government embarked on a large round of expenditure, including the furlough scheme and support for businesses.

The resulting rise in the budget deficit was accompanied by a new round of QE from the beginning of April. The stock of assets purchased by the Bank of England rose from £445 billion (the approximate level it had been since March 2017) to £740 billion by December 2020 and is planned to reach £895 billion by the end of 2021.

So with the effective funding of the government’s deficits by the creation of new money, does this mean that there is indeed a ‘magic money tree’ or, indeed, a ‘magic money forest’? And if so, is it desirable? Is it simply stoking up problems for the future? Or will, as modern monetary theorists maintain, the extra money, if carefully spent, lead to faster growth and a reducing deficit, with low interest rates making it easy to service the debt?

The podcast explores these issues. There is then a longer list of questions than normal relating to the topics raised in the podcast.

Podcast

Questions

  1. Which of the following are stocks and which are flows?
    (a) Money
    (b) Income
    (c) The total amount people save each month
    (d) The money held in savings accounts
    (e) Public-sector net debt
    (f) Public-sector net borrowing
    (g) National income
    (h) Injections into the circular flow of income
    (i) Aggregate demand
    (j) Wealth
  2. How do banks create money?
  3. What is the role of the Debt Management Office in the sale of gilts?
  4. Describe the birth of QE.
  5. Is raising asset prices the best means of stimulating the economy? What are the disadvantages of this form of monetary expansion?
  6. What are the possible exit routes from QE and what problems could occur from reducing the central bank’s stock of assets?
  7. Is the use of QE in the current Covid-19 crisis directly related to fiscal policy? Or is this use of monetary policy simply a means of hitting the inflation target?
  8. What are the disadvantages of having interest rates at ultra-low levels?
  9. Does it matter if the stock of government debt rises substantially if the gilts are at ultra-low fixed interest rates?
  10. What are the intergenerational effects of substantial QE? Does it depend on how debt is financed?
  11. How do the policy recommendations of modern monetary theorists differ from those of more conventional macroeconomists?
  12. In an era of ultra-low interest rates, does fiscal policy have a greater role to play than monetary policy?
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How values affect outcomes

Each year the BBC hosts the Reith Lectures – a series of talks given by an eminent person in their field. This year’s lecturer is Mark Carney, former Governor of the Bank of England. His series of four weekly lectures began on 2 December 2020. Their topic is ‘How we get what we value’. As the BBC site states, the lectures:

chart how we have come to esteem financial value over human value and how we have gone from market economies to market societies. He argues that this has contributed to a trio of crises: of credit, Covid and climate. And the former Bank of England governor will outline how we can turn this around.

In lectures 2, 3 and 4, he looks at three crises and how they have shaped and are shaping what we value. The crises are the financial crisis of 2007–9, the coronavirus pandemic and the climate crisis. They have challenged how we value money, health and the environment respectively and, more broadly, have prompted people to question what is valuable for individuals and society, both today and into the future.

The questions posed by Carney are how can we establish what is valuable to individuals and society, how well are such values met by economies and how can mechanisms be improved to ensure that we make the best use of resources in meeting those values.

Value and the market

In the first lecture he probes the concept of value. He explores how economists and philosophers have tried to value the goods, services and human interactions that we desire.

First there is ‘objective value’ propounded by classical economists, such as Adam smith, David Ricardo and Karl Marx. Here the value of goods and services depends on the amount of resources used to make them and fundamentally on the amount of labour. In other words, value is a supply-side concept.

This he contrasts with ‘subjective value’. Here the value of goods and services depends on how well they satisfy wants – how much utility they give the consumer. For these neoclassical economists, value is in the eye of the beholder; it is a demand-side concept.

The two are reconciled in the market, with market prices reflecting the balance of demand and supply. Market prices provided a solution to the famous diamonds/water paradox (see Box 4.2 in Economics (10th edition) or Case Study 4.3 in Essentials of Economics (8th edition) – the paradox of ‘why water, which is essential for life, is virtually free, but diamonds, which have limited utility beyond their beauty, are so expensive.’ The answer is to do with scarcity and marginal utility. Because diamonds are rare, the marginal utility is high, even though the total utility is low. And because water is abundant, even though its total utility is high, for most people its marginal utility is low. In other words, the value at the margin depends on the balance of demand and supply. Diamonds are much scarcer than water.

But is the market balance the right balance? Are the values implied by the market the same as those of society? ‘Why do financial markets rate Amazon as one of the world’s most valuable companies, but the value of the vast region of the Amazon appears on no ledger until it’s stripped of its foliage and converted into farmland?’ – another paradox highlighted by Carney.

It has long been recognised that markets fail in a number of ways. They are not perfect, with large firms able to make supernormal profits by charging more and producing less, and consumers often being ill-informed and behaving impulsively or being swayed by clever marketing. And many valuable things that we experience, such as human interaction and the beauty of nature, are not bought and sold and thus do not appear in measures of GDP – one of the main ways of valuing a country.

What is more, many of things that are produced in the market have side-effects which are not reflected in prices. These externalities, whether good or bad, can be substantial: for example, the global warming caused by CO2 emissions from industry, transport and electricity production from fossil fuels.

And markets reflect people’s biases towards the present and hence lead to too little investment for the future, whether in healthcare, the environment or physical and social infrastructure. Markets reflect the scant regard many give to the damage we might be doing to the lives of future generations.

What is particularly corrosive, according to Carney, is the

drift from moral to market sentiments. …Increasingly, the value of something, some act or someone is equated with its monetary value, a monetary value that is determined by the market. The logic of buying and selling no longer applies only to material goods, but increasingly it governs the whole of life from the allocation of healthcare, education, public safety and environmental protection. …Market value is taken to represent intrinsic value, and if a good or activity is not in the market, it is not valued.

The drift from moral to market sentiments accelerated in the Thatcher/Regan era, when governments were portrayed as inefficient allocators, which stifled competition, innovation and the movement of capital. Deregulation and privatisation were the order of the day. This, according to Carney, ‘unleashed a new dynamism’ and ‘with the fall of communism at the end of the 1980s, the spread of the market grew unchecked.’

But this drift failed to recognise market failures. It has taken three crises, the financial crisis, Covid and the climate crisis to bring these failures to the top of the public agenda. They are examined in the other three lectures.

The Reith Lectures

Questions

  1. Distinguish between objective and subjective value.
  2. If your income rises, will you necessarily be happier? Explain.
  3. How is the concept of diminishing marginal utility of income relevant to explaining why ‘A Christmas bonus of £1000 means less to Mark Zuckerberg then £500 does to someone on a minimum wage.’
  4. Does the use of social cost–benefit analysis enable us to use adjusted prices as a measure of value?
  5. Listen to lectures 2, 3 and 4 and provide a 500-word summary of each.
  6. Assess the arguments Mark Carney uses in one of these three lectures.
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Deeper in debt

On 25 November, the UK government published its Spending Review 2020. This gives details of estimated government expenditure for the current financial year, 2020/21, and plans for government expenditure and the likely totals for 2021/22.

The focus of the Review is specifically on the effects of and responses to the coronavirus pandemic. It does not consider the effects of Brexit, with or without a trade deal, or plans for taxation. The Review is based on forecasts by the Office for Budget Responsibility (OBR). Because of the high degree of uncertainty over the spread of the disease and the timing and efficacy of vaccines, the OBR gives three forecast values for most variables – pessimistic, central and optimistic.

According to the central forecast, real GDP is set to decline by 11.3% in 2020, the largest one-year fall since the Great Frost of 1709. The economy is then set to ‘bounce back’ (somewhat), with GDP rising by 5.2% in 2021.

Unemployment will rise from 3.9% in 2019 to a peak of 7.5% in mid-2021, after the furlough scheme and other support for employers is withdrawn.

This blog focuses at the impact on government borrowing and debt and the implications for the future – both the funding of the debt and ways of reducing it.

Soaring government deficits and debt


Government expenditure during the pandemic has risen sharply through measures such as the furlough scheme, the Self-Employment Income Support Scheme and various business loans. This, combined with falling tax revenue, as incomes and consumer expenditure have declined, has led to a rise in public-sector net borrowing (PSNB) from 2.5% of GDP in 2019/20 to a central forecast of 19% for 2020/21 – the largest since World War II. By 2025/26 it is still forecast to be 3.9% of GDP. The figure has also been pushed up by a fall in nominal GDP for 2020/21 (the denominator) by nearly 7%. (Click here for a PowerPoint of the above chart.)

The high levels of PSNB are pushing up public-sector net debt (PSNB). This is forecast to rise from 85.5% of GDP in 2019/20 to 105.2% in 2020/21, peaking at 109.4% in 2023/24.

The exceptionally high deficit and debt levels will mean that the government misses by a very large margin its three borrowing and debt targets set out in the latest (Autumn 2016) ‘Charter for Budget Responsibility‘. These are:

  • to reduce cyclically-adjusted public-sector net borrowing to below 2% of GDP by 2020/21;
  • for public-sector net debt as a percentage of GDP to be falling in 2020/21;
  • for overall borrowing to be zero or in surplus by 2025/26.

But, as the Chancellor said in presenting the Review:

Our health emergency is not yet over. And our economic emergency has only just begun. So our immediate priority is to protect people’s lives and livelihoods.

Putting the public finances on a sustainable footing

Running a large budget deficit in an emergency is an essential policy for dealing with the massive decline in aggregate demand and for supporting those who have, or otherwise would have, lost their jobs. But what of the longer-term implications? What are the options for dealing with the high levels of debt?

1. Raising taxes. This tends to be the preferred approach of those on the left, who want to protect or improve public services. For them, the use of higher progressive taxes, such as income tax, or corporation tax or capital gains tax, are a means of funding such services and of providing support for those on lower incomes. There has been much discussion of the possibility of finding a way of taxing large tech companies, which are able to avoid taxes by declaring very low profits by diverting them to tax havens.

2. Cutting government expenditure. This is the traditional preference of those on the right, who prefer to cut the overall size of the state and thus allow for lower taxes. However, this is difficult to do without cutting vital services. Indeed, there is pressure to have higher government expenditure over the longer term to finance infrastructure investment – something supported by the Conservative government.

A downside of either of the above is that they squeeze aggregate demand and hence may slow the recovery. There was much discussion after the financial crisis over whether ‘austerity policies’ hindered the recovery and whether they created negative supply-side effects by dampening investment.

3. Accepting higher levels of debt into the longer term. This is a possible response as long as interest rates remain at record low levels. With depressed demand, loose monetary policy may be sustainable over a number of years. Quantitative easing depresses bond yields and makes it cheaper for governments to finance borrowing. Servicing high levels of debt may be quite affordable.

The problem is if inflation begins to rise. Even with lower aggregate demand, if aggregate supply has fallen faster because of bankruptcies and lack of investment, there may be upward pressure on prices. The Bank of England may have to raise interest rates, making it more expensive for the government to service its debts.

Another problem with not reducing the debt is that if another emergency occurs in the future, there will be less scope for further borrowing to support the economy.

4. Higher growth ‘deals’ with the deficit and reduces debt. In this scenario, austerity would be unnecessary. This is the ‘golden’ scenario – for the country to grow its way out of the problem. Higher output and incomes leads to higher tax revenues, and lower unemployment leads to lower expenditure on unemployment benefits. The crucial question is the relationship between aggregate demand and supply. For growth to be sustainable and shrink the debt/GDP ratio, aggregate demand must expand steadily in line with the growth in aggregate supply. The faster aggregate supply can grow, the faster can aggregate demand. In other words, the faster the growth in potential GDP, the faster can be the sustainable rate of growth of actual GDP and the faster can the debt/GDP ratio shrink.

One of the key issues is the degree of economic ‘scarring’ from the pandemic and the associated restrictions on economic activity. The bigger the decline in potential output from the closure of firms and the greater the deskilling of workers who have been laid off, the harder it will be for the economy to recover and the longer high deficits are likely to persist.

Another issue is the lack of labour productivity growth in the UK in recent years. If labour productivity does not increase, this will severely restrict the growth in potential output. Focusing on training and examining incentives, work practices and pay structures are necessary if productivity is to rise significantly. So too is finding ways to encourage firms to increase investment in new technologies.

Podcast and videos

Articles

OBR Data

Questions

  1. What is the significance of the relationship between the rate of economic growth and the rate of interest for financing public-sector debt over the longer term?
  2. What can the government do to encourage investment in the economy?
  3. Using OBR data, find out what has happened to the output gap over the past few years and what is forecast to happen to it over the next five years. Explain the significance of the figures.
  4. Distinguish between demand-side and supply-side policies. How would you characterise the policies to tackle public-sector net debt in terms of this distinction? Do the policies have a mixture of demand- and supply-side effects?
  5. Choose two other developed countries. Examine how their their public finances have been affected by the coronavirus pandemic and the policies they are adopting to tackle the economic effects of the pandemic.
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US tech giants and monopoly power

In recent years, US tech companies have faced increased scrutiny in Washington over their size and power. Despite the big tech firms in America being economically robust, seemingly more so than any other sector, they are also more politically vulnerable. This potential vulnerability is present regardless of the recent election result.

Both the Democrat and Republican parties are thinking critically about monopoly power and antitrust issues, where ‘antitrust’ refers to the outlawing or control of oligopolistic collusion. Despite the varied reasons across different parts of the political spectrum, the increased scrutiny over big tech companies is bipartisan.

Rising monopoly power

Monopoly power occurs when a firm has a dominant position in the market. A pure monopoly is when one firm has a 100% share of the market. A firm might be considered to have monopoly power with more than a 25% market share.

If there is a rise in market concentration, it tends to hurt blue-collar workers, such as those employed in factories, more than everyone else. Research, from the University of Chicago, studied what happens to particular classes of workers when companies increasingly dominate a market and have more power to raise prices. The study found that those workers that make things tend to be left worse off, while the workers who sell, market or design things gain. When companies have more pricing power, they make fewer products and sell each one for a higher profit margin. In that case, it’s far more valuable to a company to be an employee working in so-called expansionary positions, such as marketing, than in production jobs, such as working on a factory line — because there’s less production to be done and more salesmanship.

Monopoly power under Trump Vs Biden

In February, President Trump and his economic team saw no need to rewrite the federal government’s antitrust rules, drawing a battle line with the Democrats on an issue that has increasingly drawn the attention of economists, legal scholars and other academics. In their annual Economic Report of the President, Mr. Trump and his advisers effectively dismissed research that found large American companies increasingly dominate industries like telecommunications and tech, stifling competition and hurting consumers. At the time the Trump administration contended that studies demonstrating a rise in market concentration were flawed and that the rise of large companies may not be a bad thing for consumers.

On page 201, the report reads:

Concentration may be driven by economies of scale and scope that can lower costs for consumers. Also, successful firms tend to grow, and it is important that antitrust enforcement and competition policy not be used to punish firms for their competitive success.

The Trump administration approved some high-profile corporate mergers, such as the merger of Sprint and T-Mobile, while also trying to block others, such as AT&T’s purchase of Time Warner. Mr. Trump’s advisers stated that agencies already had the tools they needed to evaluate mergers and antitrust cases. It lamented that some Americans have come to hold the mistaken, simplistic view that ‘Big Is Bad.’

However, it is likely that such big firms, including the tech giants, would take a hit under the new presidency. President-Elect Joe Biden has pledged to undo the tax cuts introduced by Trump and has vowed to increase corporation tax from 21% to 28%. As part of these tax changes, he has suggested the introduction of a minimum 15% tax for all companies with a revenue of over $100 million. This has now been given the nickname of the ‘Amazon Tax’ and it is clear how it would impact on the big the firms such as Amazon.

This is the opposite of what was probable if Trump were to have been re-elected. It was expected that the US would continue along the path of deregulation and lower taxes for corporates and high-income households, which would have been welcomed by the stock market. However, analysts suggest that the tax changes under Biden would negatively affect the US tech sector, with some analysts maintaining that the banking sector would also be hit.

Antitrust enforcement is often associated with the political left, but the current situation is not so clear-cut. In the past, Silicon Valley has largely avoided any clashes with Washington, even when European regulators have levied fines against the tech giants. European regulators have fined Google a total of $9bn for anticompetitive practices. In 2018 Donald Trump attacked the EU decisions. “I told you so! The European Union just slapped a Five Billion Dollar fine on one of our great companies, Google,” Trump tweeted. “They truly have taken advantage of the US, but not for long!”

However, since then the mood has changed, with Trump and other conservatives joining liberals, including senators Elizabeth Warren and Bernie Sanders, in attacking the dominance of tech firms, including Amazon, Google, Facebook and others. While Democrats have largely stuck to criticising the scale of big tech’s dominance, Republicans, including Trump, have accused the major tech companies of censoring conservative speech.

An antitrust subcommittee of the Democrat-controlled House Judiciary Committee released a 449-page report excoriating the Big Four tech companies, Amazon, Facebook, Apple and Google-owner, Alphabet, for what it calls systematic and continuing abuses of their monopoly power. Recommendations from the report include ways to limit their power, force them out of certain areas of business and even a break-up of some of them.

Democratic lawmakers working on the probe claim that these firms have too much power, and that power must be reined in. But not all Republicans involved agreed with the recommendations. One Republican congressman, Jim Jordan, dismissed the report as “partisan” and said it advanced “radical proposals that would refashion antitrust law in the vision of the far left.” However, others have said they support many of the report’s conclusions about the firms’ anti-competitive tactics, but that remedies proposed by Democrats go too far.

The US tech giants


Amazon is a leading example of the economic strength held by the tech giants. Amazon has produced 12-month revenues of $321bn to October 2020, which in an increase from 2019 and 2018 revenues of $280bn and $233bn respectively. However, Amazon, along with the other big players Apple, Facebook, Google parent Alphabet, and Microsoft, are facing increased government scrutiny.

The US Department of Justice has filed a lawsuit against Google for entrenching itself as the dominant search engine through anti-competitive practices. Google’s complex algorithms, software, and custom-built servers helped make it into one of the world’s richest and most-powerful corporations. It currently dominates the online search market in the USA, accounting for around 80% of search queries. The lawsuit accuses the tech company of abusing its position to maintain an illegal monopoly over search and search advertising. Facebook also faces an antitrust lawsuit from the Federal Trade Commission. It is arguable that the US tech giants are so powerful that they may accomplish the seemingly impossible and unite the two parties, at least on one policy – breaking them up.

If it is correct that the tech giants’ behaviour ultimately damages innovation and exacerbates inequality, it is arguable that such problems have only grown worse with the coronavirus pandemic. Many smaller businesses have succumbed to the economic damage: many have been closed during lockdowns or suffered a decline in sales; many have gone out of business.

The changing patterns in teleworking and retail have accelerated in ways that have made Americans more reliant on technologies produced by a few firms. Shares in the Big Four, along with Microsoft, Netflix, and Tesla, added $291 billion in market value in just one day last week. It could therefore be claimed that the dangers of Big Tech domination are more profound now than they were even a few months ago.

Google’s lawsuit

On 20 October, the Department of Justice — along with eleven state Attorneys General — filed a civil antitrust lawsuit in the U.S. District Court for the District of Columbia to stop Google from unlawfully maintaining monopolies through anticompetitive and exclusionary practices in the search and search advertising markets and to remedy the competitive harms.

This is the most significant legal challenge to a major tech company in decades and comes as US authorities are increasingly critical of the business practices of the major tech companies. The suit alleges that Google is no longer a start-up company with an innovative way to search the emerging internet. Instead Google is being described as a “monopoly gatekeeper for the internet” that has used “pernicious” anticompetitive tactics to maintain and extend its monopolies.

The allegation that Google is unfairly acting as a gatekeeper to the internet is based on the argument that through a series of business agreements, Google has effectively locked out any competition. One of the specific arrangements being challenged is the issue of Google being preloaded on mobile devices. On mobile phones running its Android operating system, Google is preinstalled and cannot be deleted. The company pays billions each year to “secure default status for its general search engine and, in many cases, to specifically prohibit Google’s counterparties from dealing with Google’s competitors,” the suit states. It is argued that this alone forecloses competition for internet search as it denies its rivals to compete effectively and prevent potential innovation.

However, Google has defended its position, calling the lawsuit “deeply flawed”. It has argued that consumers themselves choose to use Google; they do not use it because they are forced to or because they can’t find an alternative search platform. Google also argues that this lawsuit will not be beneficial for consumers. It claims that this will artificially prop up lower-quality search alternatives, increase phone prices, and make it harder for people to get the search services they want to use.

Conclusion

Despite wanting to stop Google from “unlawfully maintaining monopolies in the markets for” search services, advertising, and general search text, the lack of consensus and divergence among the Democrats and Republicans on the antitrust issues remains a major issue to move things forward.

The Democrats want to see the power held by these companies reined in, while the Republicans would rather see targeted antitrust enforcement over onerous and burdensome regulation that kills industry innovation. It is clear that the US government will have to balance its reforms and ideas while making sure not to put the largest companies in the USA at a competitive disadvantage versus their competitors globally.

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Questions

  1. With the aid of a diagram, explain how pricing decisions are made in a monopoly.
  2. What factors influence the degree of monopoly power a company has within an industry?
  3. What are the advantages of a monopoly?
  4. Why would a government want to prevent a monopoly? Discuss the policies a government could implement to do this.