The recent pandemic has, and will have, serious implications for our economy with some estimating the largest drop in GDP ‘in living memory’. Expenditure from disposable income fell by 60% as social distancing policies were introduced and consumers started reducing their spending.
However, despite the impact being widespread across all sectors of the economy, workers in the gig economy are at a particular financial disadvantage. A report by Fintech firm, Portify, has found that income for self-employed gig workers fell 30% in the first two weeks of April, compared to the pre-crisis average. It is estimated that there will be a loss of £1.5bn through earnings and £6.9bn in economic contributions from gig economy workers.
Chancellor Rishi Sunak announced increased benefits for the self-employed at the daily briefing on March 20th but did not guarantee their wages. This has understandably left those people who are self-employed, e.g. freelancers, with greater uncertainty. According to the Office for National Statistics, there are 5 million self-employed people in the UK, who make up 15% of the labour market.
The government has been cautious over the financial support for the self-employed, because it is more difficult to confirm how much they are earning each month. However, many of the 5 million workers would have been among the first to be impacted by the closures and restrictions caused by the outbreak.
What is the ‘gig economy’?
The gig economy has grown significantly since the last global recession of 2008/9. After a substantial number of people lost their jobs, they turned towards self-employment. A boom in digital platforms, such as Uber and Deliveroo, has sparked a revolution in the world of work, with as many as one in 10 working-age adults now working in the gig economy, up from one in 20 in 2016. According to the Association of Independent Professionals and the Self-Employed (IPSE), prior to the coronavirus outbreak, self-employed people contributed £305bn to the British economy.
A gig economy is where workers are paid for the ‘gigs’ they do, e.g. a parcel delivery or taxi ride. They receive the money for the completed job instead of a regular wage. In the UK it is estimated that 5 million people are employed in this type of capacity. Flexible hours and controlling the amount you work is appealing for many people wanting to manage their home life and other priorities.
In the gig economy, workers are classed as independent contractors. This is also beneficial for employers as they only need to pay their workers when there is work available. Therefore, when demand drops, they don’t have to get rid of staff or have to incur unnecessary staff costs. However, this also has its drawbacks for the worker. They have no protection against unfair dismissal, no right to redundancy payments, and no right to receive the national minimum wage, paid holiday or sickness pay.
Impact of the coronavirus on the gig economy
Anybody experiencing symptoms of the virus have been told to self-isolate. Employees who are then self-isolating can access statutory sick pay from the first day they are off. However, it is unclear if this applies to gig-economy workers. Unions that represent such workers have raised their concerns over the uncertainty and have demanded that urgent action is needed on working practices, including on sick pay. The United Private Hire Drivers (UPHD) union said:
Without access to worker rights such as minimum wage and sick pay, drivers who are infected may simply not be able to afford to stop working.
Work and Pensions Minister, Justin Tomlinson, has said that gig economy workers can apply for universal credit (which can take five weeks to come through) if they need to self-isolate. However, this is not an option for those who live hand-to-mouth. The government has indicated it wanted to do more for the self-employed but it is operationally difficult. Robert Jenrick, the Communities Secretary, said:
The purpose of our employment mechanism is to help continue the connection between employees and their business so once this is over – and it will be over – those individuals can return to their usual work and that link isn’t broken.
However, six days after the Chancellor’s initial support package was announced, he announced a new self-employed income support scheme, which will cover up to 80% of self-employed workers’ average taxable monthly profits. This taxable grant is to be paid in a lump sum in June and will no doubt provide a vital lifeline for those workers who have seen their income disappear almost overnight.
Those who are eligible will receive a taxable grant amounting to 80% of the average profits from the last three tax years. HMRC will use the total trading profit for the last three tax years and use this to calculate a monthly amount. However, annual profits are taken after expenses and capital allowances, but before pension contributions and charitable donations. Therefore, workers who have made significant investments into their businesses are likely to lose out.
What next?
The Independent Workers Union of Great Britain (IWGB), which represents gig-economy workers, has announced that it is suing the government over its failure to protect the wages and jobs of millions of workers during the pandemic. It has also accused the government of failing to ensure the health and safety of those still employed through proper sick pay. It has also argued that the lack of certainty encourages those potentially infected to continue working so they can still receive a wage.
The current scheme is only planned to cover the next three months. However, it is questionable whether this will be enough, and the government may have to extend the support.
There is also concern around how much of the gig economy (besides delivery and distribution workers) will remain once the restrictions are eased. Ryan Barnett, an IPSE economist predicts the economic impact to be far more severe than the 2008 financial crisis, pointing out that many entertainment industry workers have already had jobs cancelled until the end of 2021. Even when we can re-emerge from the current lockdown, it is likely that many workers will continue to rely on Universal Credit for a prolonged period of time.
Conclusion
There is no doubt that the current situation has had an impact on the daily lives of everyone in the economy. However, the level of uncertainty for those working in the gig economy has been concerning for many of the 5 million people.
The full impact of the crisis will not be known until some time after the lockdown. However, it is what measures are put in place in the short run that will have an impact and provide a greater level of certainty for the self-employed. It is important that the government understands the importance of supporting self-employment throughout the crisis, as the self-employed will likely play a key role in the economic activity and recovery that will follow.
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Questions
- Explain why many economies have seen an increase in the gig economy over the last decade.
- What are the advantages and disadvantages of a gig economy?
- How does the gig economy impact on the flexibility of the labour market in the UK?
With many countries experiencing low growth some 12 years after the financial crisis and with new worries about the effects of the coronavirus on output in China and other countries, some are turning to a Keynesian fiscal stimulus (see Case Study 16.6 on the student website). This may be in the form of tax cuts, or increased government expenditure or a combination of the two. The stimulus would be financed by increased government borrowing (or a reduced surplus).
The hope is that there will also be a longer-term supply-side effect which will boost potential national income. This could be through tax reductions creating incentives to invest or work more efficiently; or it could be through increased capacity from infrastructure spending, whether on transport, energy, telecommunications, health or education.
In the UK, the former Chancellor, Sajid Javid, had adopted a fiscal rule similar to the Golden Rule adopted by the Labour government from 1997 to 2008. This stated that, over the course of the business cycle, the government should borrow only to invest and not to fund current expenditure. Javid’s rule was that the government would balance its current budget by the middle of this Parliament (i.e. in 2 to 3 years) but that it could borrow to invest, provided that this did not exceed 3% of GDP. Previously this limit had been set at 2% of GDP by the former Chancellor, Philip Hammond. Using his new rule, it was expected that Sajid Javid would increase infrastructure spending by some £20 billion per year. This would still be well below the extra promised by the Labour Party if they had won the election and below what many believe Boris Johnson Would like.
Sajid Javid resigned at the time of the recent Cabinet reshuffle, citing the reason that he would have been required to sack all his advisors and use the advisors from the Prime Minister’s office. His successor, the former Chief Secretary to the Treasury, Rishi Sunak, is expected to adopt a looser fiscal rule in his Budget on March 11. This would result in bigger infrastructure spending and possibly some significant tax cuts, such as a large increase in the threshold for the 40% income tax rate.
A Keynesian stimulus would almost certainly increase the short-term economic growth rate as inflation is low. However, unemployment is also low, meaning that there is little slack in the labour market, and also the output gap is estimated to be positive (albeit only around 0.2%), meaning that national income is already slightly above the potential level.
Whether a fiscal stimulus can increase long-term growth depends on whether it can increase capacity. The government hopes that infrastructure expenditure will do just that. However, there is a long time lag between committing the expenditure and the extra capacity coming on stream. For example, planning for HS2 began in 2009. Phase 1 from London to Birmingham is currently expected to be operation not until 2033 and Phase 2, to Leeds and Manchester, not until 2040, assuming no further delays.
Crossrail (the new Elizabeth line in London) has been delayed several times. Approved in 2007, with construction beginning in 2009, it was originally scheduled to open in December 2018. It is now expected to be towards the end of 2021 before it does finally open. Its cost has increased from £14.8 billion to £18.25 billion.
Of course, some infrastructure projects are much quicker, such as opening new bus routes, but most do take several years.
The first five articles look at UK policy. The rest look at Keynesian fiscal policies in other countries, including the EU, Russia, Malaysia, Singapore and the USA. Governments seem to be looking for a short-term boost to aggregate demand that will increase short-term GDP, but also have longer-term supply-side effects that will increase the growth in potential GDP.
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Questions
- Illustrate the effect of an expansionary fiscal policy with a Keynesian Cross (income and expenditure) diagram or an injections and withdrawals diagram.
- What is meant by the term ‘output gap’? What are the implications of a positive output gap for expansionary Keynesian policy?
- Assess the benefits of having a fiscal rule that requires governments to balance the current budget but allows borrowing to invest.
- Would there be a problem following such a rule if there is currently quite a large positive output gap?
- To what extent are the policies being proposed in Russia, the EU, Malaysia and Singapore short-term demand management policies or long-term supply-side policies?
Confidence figures suggest that sentiment weakened across several sectors in June with significant falls recorded in retail and construction. This is consistent with the monthly GDP estimates from the ONS which suggest that output declined in March and April by 0.1 per cent and 0.4 per cent respectively. The confidence data point to further weakness in growth down the line. Furthermore, it poses the risk of fuelling a snowball effect with low growth being amplified and sustained by low confidence.
Chart 1 shows the confidence balances reported by the European Commission each month since 2007. It highlights the collapse in confidence across all sectors around the time of the financial crisis before a strong and sustained recovery in the 2010s. However, in recent months confidence indicators have eased significantly, undoubtedly reflecting the heightened uncertainty around Brexit. (Click here to download a PowerPoint copy of the chart.)
Between June 2016 and June 2019, the confidence balances have fallen by at least 8 percentage points. In the case of the construction the fall is 14 points while in the important service sector, which contributes about 80 per cent of the economy’s national income, the fall is as much as 15 points.
Changes in confidence are thought, in part, to reflect levels of economic uncertainty. In particular, they may reflect the confidence around future income streams with greater uncertainty pulling confidence down. This is pertinent because of the uncertainty around the UK’s future trading relationships following the 2016 referendum which saw the UK vote to leave the EU. In simple terms, uncertainty reduces the confidence people and businesses have when forming expectations of what they can expect to earn in the future.
Greater uncertainty and, hence, lower confidence tend to make people and businesses more prudent. The caution that comes from prudence counteracts the inherent tendency of many of us to be impatient. This impatience generates an impulse to spend now. On the other hand, prudence encourages us to take actions to increase net worth, i.e. wealth. This may be through reducing our exposure to debt, perhaps by looking to repay debts or choosing to borrow smaller sums than we may have otherwise done. Another option may be to increase levels of saving. In either case, the effect of greater prudence is the postponement of spending. Therefore, in times of high uncertainty, like those of present, people and businesses would be expected to want to have greater financial resilience because they are less confident about what the future holds.
To this point, the saving ratio – the proportion of disposable income saved by households – has remained historically low. In Q1 2019 the saving ratio was 4.4 per cent, well below its 60-year average of 8.5 per cent. This appears to contradict the idea that households respond to uncertainty by increasing saving. However, at least in part, the squeeze seen over many years following the financial crisis on real earnings, i.e. inflation-adjusted earnings, restricted the ability of many to increase saving. With real earnings having risen again over the past year or so, though still below pre-crisis levels, households may have taken this opportunity to use earnings growth to support spending levels rather than, as we shall see shortly, looking to borrow.
Another way in which the desire for greater financial resilience can affect behaviour is through the appetite to borrow. In the case of consumers, it could reduce borrowing for consumption, while in the case of firms it could reduce borrowing for investment, i.e. spending on capital, such as that on buildings and machinery. The reduced appetite for borrowing may also be mirrored by a tightening of credit conditions by financial institutions if they perceive lending to be riskier or want to increase their own financial capacity to absorb future shocks.
Chart 2 shows consumer confidence alongside the annual rate of growth of consumer credit (net of repayments) to individuals by banks and building societies. Consumer credit is borrowing by individuals to finance current expenditure on goods and services and it comprises borrowing through credit cards, overdraft facilities and other loans and advances, for example those financing the purchase of cars or other large ticket items. (Click here to download a PowerPoint copy of the chart.)
The chart allows us to view the confidence-borrowing relationship for the past 25 years or so. It suggests a fairly close association between consumer confidence and consumer credit growth. Whether changes in confidence occur ahead of changes in borrowing is debatable. However, the easing of confidence following the outcome of the EU referendum vote in June 2016 does appear to have led subsequently to an easing in the annual growth of consumer credit. From its peak of 10.9 per cent in the autumn of 2016, the annual growth rate of consumer credit dropped to 5.6 per cent in May 2019.
The easing of credit growth helps put something of a brake on consumer spending. It is, however, unlikely to affect all categories of spending equally. Indeed, the ONS figures for May on retail sales shows a mixed picture for the retail sector. Across the sector as a whole, the 3 month-on-3 month growth rate for the volume of purchases stood at 1.6 per cent, having fallen as low as 0.1 percent in December of last year. However, the 3 month-on-3 month growth rate for spending volumes in department stores, which might be especially vulnerable to a slowdown in credit, fell for the ninth consecutive month.
Going forward, the falls in confidence might be expected to lead to further efforts by the household sector, as well as by businesses, to ensure their financial resilience. The vulnerability of households, despite the slowdown in credit growth, so soon after the financial crisis poses a risk for a hard landing for the sector. After falls in national output in March and April, the next monthly GDP figures to be released on 10 July will be eagerly anticipated.
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Questions
- Which of the following statements is likely to be more accurate: (a) Confidence drives economic activity or (b) Economic activity drives confidence?
- Explain the difference between confidence as a source of economic volatility as compared to an amplifier of volatility?
- Discuss the links between confidence, economic uncertainty and financial resilience.
- Discuss the ways in which people and businesses could improve their financial resilience to adverse shocks.
- What are the potential dangers to the economy of various sectors being financially distressed or exposed?
It is perhaps timely given the ongoing uncertainty around Brexit to revisit and update our blog Desperately seeking confidence written back in January. Consumer and business confidence reflects the sentiment, emotion, or anxiety of consumers and businesses. Confidence surveys therefore try to capture these feelings of optimism or pessimism. They may then provide us with timely information for the short-term prospects for private-sector spending. For example, declining levels of confidence might be expected to play a part in weakening the growth of consumption and investment spending.
Attempts are made to measure confidence through the use of surveys. One long-standing survey is that conducted for the European Commission. Each month consumers and firms across the European Union are asked a series of questions, the answers to which are used to compile indicators of consumer and business confidence. For instance, consumers are asked about how they expect their financial position to change. They are offered various options such as ‘get a lot better, ‘get a lot worse’ and balances are then calculated on the basis of positive and negative replies.
The chart plots confidence in the UK for consumers and different sectors of business since the mid 1990s. The chart captures the volatility of confidence. This volatility is generally greater amongst businesses than consumers, and especially so in the construction sector. (Click here to download a PowerPoint copy of the chart.)
Confidence measures rebounded across all sectors during the 2010s, with positive balances being recorded consistently from 2013 to 2016 in services, retail and industry. Subsequently, confidence indicators became more erratic though often remaining at above-average levels. However, confidence indicators have eased across the board in recent months. In some cases the easing has been stark. For example, the confidence balance in the service sector, which contributes about 80 per cent of the economy’s national income, fell from +10.9 in February 2018 to -16.2 in February 2019, though recovering slightly to -9.2 in March 2019.
Chart 2 shows how the recent easing of consumer confidence has seen the confidence balance fall below its long-term (median) average of -7. In March 2019 the balance stood at -11.7 the lowest figure since November 2013. To put the easing into further perspective, the consumer confidence balance had been as high as +8.2 in September 2015. (Click here to download a PowerPoint copy of the chart.)
Changes in confidence are used frequently as an example of a demand shock. In reality changes in consumer confidence are often likely to be an amplifier of shocks rather than the source. For example, the collapse in aggregate demand in 2007/8 that followed the ‘credit crunch’, the severe tightening of credit conditions and financial distress of many sectors of the economy is likely to have been amplified by the collapse in consumer confidence. The weakening of confidence since 2016 is perhaps a purer example of a ‘confidence shock’. Nonetheless, falls in confidence, whether they amplify existing shocks or are the source of shocks, are often a signal of greater economic uncertainty.
Greater uncertainty is likely to go and hand in hand with lower confidence and is likely to reflect greater uncertainty about future income streams. The result is that people and businesses become more prudent. In the context of households this implies a greater willingness to engage in self-insurance through increased saving. This is known as buffer stock or precautionary saving. Alternatively, people may reducing levels of borrowing. In uncertain times prudence can dominate our impatience that encourages us to spend.
Chart 3 plots the paths of the UK household-sector saving ratio and consumer confidence. The saving ratio approximates the proportion of disposable income saved by the household sector. What we might expect to see, if greater uncertainty induces buffer-stock saving, is for falls in confidence to lead to a rise in the saving ratio. Conversely, less uncertainty as proxied by a rise in confidence would lead to a fall in the saving ratio. (Click here to download a PowerPoint of the chart.)
The chart provides some evidence of this. The early 1990s and late 2000s coincided with both waning confidence and a rising saving ratio, whilst the rising confidence seen in the late 1990s coincided with a fall in the saving ratio. However, the easing of confidence since 2016 has coincided with a period where the saving ratio has been historically low. In the first quarter of 2017 the saving ratio was just 3.3 per cent. Although the saving ratio has ticked up a little, in the final quarter of 2018 it remained historically low at just 4.9 per cent. Hence, the available data on the saving ratio does not provide clear evidence of the more cautious behaviour we might expect with waning confidence.
Consider now patterns in the consumer confidence balance alongside the annual rate of growth of consumer credit (net of repayments) to individuals by banks and building societies. Consumer credit is borrowing by individuals to finance current expenditure on goods and services.
Data on consumer credit is more timely than that for the saving ratio. Therefore, Chart 4 shows the relationship between consumer confidence and consumer credit into 2019. We observe a reasonably close association consumer credit growth and consumer confidence. Certainty, the recent easing in confidence is mirrored by an easing in the annual growth of net consumer credit. (Click here to download a PowerPoint of the chart.)
The year-to-year growth in net consumer credit has eased considerably since the peak of 10.9 per cent in November 2016. In February 2019 the annual growth rate of net consumer credit had fallen back to 6.3 per cent, its lowest rate since September 2014. As we noted in our recent blog Riding the consumer credit cycle (again) it is hard to look much past the effect of Brexit in acting as a lid on the growth in consumer credit. Therefore, while the recent falls in consumer confidence have yet to markedly affect the saving ratio they may instead be driving the slowdown in consumer credit. The effect will be to weaken the growth of consumer spending.
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Questions
- Draw up a series of factors that you think might affect both consumer and business confidence. How similar are both these lists?
- Which of the following statements is likely to be more accurate: (a) Confidence drives economic activity or (b) Economic activity drives confidence?
- What macroeconomic indicators would those compiling the consumer and business confidence indicators expect each indicator to predict?
- What is meant by the concept of ‘prudence’ in the context of spending? What factors might determine the level of prudence
- How might prudence be expected to affect spending behaviour?
- How might we distinguish between confidence ‘shocks’ and confidence as a ‘propagator’ of shocks?
- What is meant by buffer stock or precautionary saving? Draw up a list of factors that are likely to affect levels of buffer stock saving.
- If economic uncertainty is perceived to have increased how could this affect the consumption, saving and borrowing decisions of people?
Consumer credit is borrowing by individuals to finance current expenditure on goods and services. Consumer credit is distinct from lending secured on dwellings (referred to more simply as ‘secured lending’). Consumer credit comprises lending on credit cards, lending through overdraft facilities and other loans and advances, for example those financing the purchase of cars. We consider here recent trends in the flows of consumer credit in the UK and discuss their implications.
Analysing consumer credit data is important because the growth of consumer credit has implications for the financial wellbeing or financial health of individuals and, of course, for financial institutions. As we shall see shortly, the data on consumer credit is consistent with the existence of credit cycles. Cycles in consumer credit have the potential to be not only financially harmful but economically destabilising. After all, consumer credit is lending to finance spending and therefore the amount of lending can have significant effects on aggregate demand and economic activity.
Data on consumer credit are available monthly and so provide an early indication of movements in economic activity. Furthermore, because lending flows are likely to be sensitive to changes in the confidence of both borrowers and lenders, changes in the growth of consumer credit can indicate turning points in the economy and, hence, in the macroeconomic environment.
Chart 1 shows the annual flows of net consumer credit since 2000 – the figures are in £ billions. Net flows are gross flows less repayments. (Click here to download a PowerPoint copy of the chart.) In January 2005 the annual flow of net consumer credit peaked at £23 billion, the equivalent of just over 2.5 per cent of annual disposable income. This helped to fuel spending and by the final quarter of the year, the economy’s annual growth rate had reached 4.8 per cent, significantly about its long-run average of 2.5 per cent.
By 2009 net consumer credit flows had become negative. This meant that repayments were greater than additional flows of credit. It was not until 2012 that the annual flow of net consumer credit was again positive. Yet by November 2016, the annual flow of net consumer credit had rebounded to over £19 billion, the equivalent of just shy of 1.5 per cent of annual disposable income. This was the largest annual flow of consumer credit since September 2005.
Although the strength of consumer credit in 2016 was providing the economy with a timely boost to growth in the immediate aftermath of the referendum on the UK’s membership of the EU, it nonetheless raised concerns about its sustainability. Specifically, given the short amount of time that had elapsed since the financial crisis and the extreme levels of financial distress that had been experienced by many sectors of the economy, how susceptible would people and organisations be to a future economic slowdown and/or rise in interest rates?
The extent to which the economy experiences consumer credit cycles can be seen even more readily by looking at the 12-month growth rate in the net consumer credit. In essence, this mirrors the growth rate in the stock of consumer credit. Chart 2 evidences the double-digit growth rates in net consumer credit lending experienced during the first half of the 2000s. Growth rates then eased but, as the financial crisis unfolded, they plunged sharply. (Click here to download a PowerPoint copy of the chart.)
Yet, as Chart 2 shows, consumer credit growth began to recover quickly from 2013 so that by 2016 the annual growth rate of net consumer credit was again in double figures. In November 2016 the 12-month growth rate of net consumer credit peaked at 10.9 per cent. Thereafter, the growth rate has continually eased. In January 2019 the annual growth rate of net consumer credit had fallen back to 6.5 per cent, the lowest rate since October 2014.
The easing of consumer credit is likely to have been influenced, in part, by the resumption in the growth of real earnings from 2018 (see Getting real with pay). Yet, it is hard to look past the economic uncertainties around Brexit.
Uncertainty tends to cause people to be more cautious. With the heightened uncertainty that has has characterised recent times, it is likely that for many people and businesses prudence has dominated impatience. Therefore, in summary, it appears that prudence is helping to steer borrowing along a downswing in the credit cycle. As it does, it helps to put a further brake on spending and economic growth.
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Questions
- What is the difference between gross and net lending?
- Consider the argument that we should be worried more by excessive growth in consumer credit than on lending secured on dwellings?
- How could we measure whether different sectors of the economy had become financially distressed?
- What might explain why an economy experiences credit cycles?
- Explain how the growth in net consumer credit can affect economic activity?
- If people are consumption smoothers, how can credit cycles arise?
- What are the potential policy implications of credit cycles?
- It is said that when making financial decisions people face an inter-temporal choice. Explain what you understand this by this concept.
- If economic uncertainty is perceived to have increased how could this affect the consumption, saving and borrowing decisions of people?