Tag: labour market

The first Budget of the new UK Labour government was announced on 30 October 2024. It contained a number of measures that will help to tackle inequality. These include extra spending on health and education. This will benefit households on lower incomes the most as a percentage of net income. Increases in tax, by contrast, will be paid predominantly by those on higher incomes. The Chart opposite (taken from the Budget Report) illustrates this. It shows that the poorest 10% will benefit from the largest percentage gain, while the richest 10% will be the only decile that loses.

But one of the major ways of tackling inequality and poverty was raising the minimum wage. The so-called ‘National Living Wage (NLW)’, paid to those aged 21 and over, will rise in April by 6.7% – from £11.44 to £12.41 per hour. The minimum wage paid to those aged 18 to 20 will rise 16.3% from £8.60 to £10.00 and for 16 and 17 year-olds and apprentices it will rise £18% from £6.40 to £7.55.

It has been an objective of governments for several years to relate the minimum wage to the median wage. In 2015, the Conservative Government set a target of raising the minimum wage rate to 60 per cent of median hourly earnings by 2020. When that target was hit a new one was set to reach two-thirds of median hourly earnings by 2024.

The Labour government has set a new remit for the minimum wage (NLW). There are two floors. The first is the previously agreed one, that the NLW should be at least two-thirds of median hourly earnings; the second is that it should fully compensate for cost of living rises and for expected inflation up to March 2026. The new rate of £12.41 will meet both criteria. According to the Low Pay Commission, ‘Wages have risen faster than inflation over the past 12 months, and are forecast to continue to do so up to March 2026’. This makes the first floor the dominant one: meeting the first floor automatically meets the second.

How effective is the minimum wage in reducing poverty and inequality?

Figure 1 shows the growth in minimum wage rates since their introduction in 1999. The figures are real figures (i.e. after taking into account CPI inflation) and are expressed as an index, with 1999 = 100. The chart also shows the growth in real median hourly pay. (Click here for a Powerpoint.)

As you can see, the growth in real minimum wage rates has considerably exceeded the growth in real median hourly pay. This has had a substantial effect on raising the incomes of the poorest workers and thereby has helped to reduce poverty and inequality.

The UK minimum wage compares relatively favourably with other high-income economies. Figure 2 shows minimum wage rates in 12 high-income countries in 2023 – the latest year for which data are available. (Click here for a PowerPoint.) The red bars (striped) show hourly minimum wage rates in US dollars at purchasing-power parity (PPP) rates. PPP rates correct current exchange rates to reflect the purchasing power of each country’s currency. The blue bars (plain) show minimum wage rates as a percentage of the median wage rate. In 2023 the UK had the fourth highest minimum wage of the 12 countries on this measure (59.6%). As we have seen above, the 2025 rate is expected to be 2/3 of the median rate.

Minimum wages are just one mechanism for reducing poverty and inequality. Others include the use of the tax and benefit system to redistribute incomes. The direct provision of services, such as health, education and housing at affordable rents can make a significant difference and, as we have seen, have been a major focus of the October 2024 Budget.

The government has been criticised, however, for not removing the two-child limit to extra benefits in Universal Credit (introduced in 2017). The cap clearly disadvantages poor families with more than two children. What is more, for workers on Universal Credit, more than half of the gains from the higher minimum wages will lost because they will result in lower benefit entitlement. Also the freeze in (nominal) personal income tax allowances will mean more poor people will pay tax even with no rise in real incomes.

Effects on employment: analysis

A worry about raising the minimum wage rate is that it could reduce employment in firms already paying the minimum wage and thus facing a wage rise.

In the case of a firm operating in competitive labour and goods markets, the demand for low-skilled workers is relatively wage sensitive. Any rise in wage rates, and hence prices, by this firm alone would lead to a large fall in sales and hence in employment.

This is illustrated in Figure 3 (click here for a PowerPoint). Assume that the minimum wage is initially the equilibrium wage rate We. Now assume that the minimum wage is raised to Wmin. This will cause a surplus of labour (i.e. unemployment) of Q3Q2. Labour supply rises from Q1 to Q3 and the demand for labour falls from Q1 to Q2.

But, given that all firms face the minimum wage, individual employers are more able to pass on higher wages in higher prices, knowing that their competitors are doing the same. The quantity of labour demanded in any given market will not fall so much – the demand is less wage elastic; and the quantity of labour supplied in any given market will rise less – the supply is less wage elastic. Any unemployment will be less than that illustrated in Figure 3. If, at the same time, the economy expands so that the demand-for-labour curve shifts to the right, there may be no unemployment at all.

When employers have a degree of monopsony power, it is not even certain that they would want to reduce employment. This is illustrated in Figure 4: click here for a PowerPoint (you can skip this section if you are not familiar with the analysis).

Assume initially that there is no minimum wage. The supply of labour to the monopsony employer is given by curve SL1, which is also the average cost of labour ACL1. A higher employment by the firm will drive up the wage; a lower employment will drive it down. This gives a marginal cost of labour curve of MCL1. Profit-maximising employment will be Q1, where the marginal cost of labour equals the marginal revenue product of labour (MRPL). The wage, given by the SL1 (=ACL1) line will be W1.

Now assume that there is a minimum wage. Assume also that the initial minimum wage is at or below W1. The profit-maximising employment is thus Q1 at a wage rate of W1.

The minimum wage can be be raised as high as W2 and the firm will still want to employ as many workers as at W1. The point is that the firm can no longer drive down the wage rate by employing fewer workers, and so the ACL1 curve becomes horizontal at the new minimum wage and hence will be the same as the MCL curve (MCL2 = ACL2). Profit-maximising employment will be where the MRPL curve equals this horizontal MCL curve. The incentive to cut its workforce, therefore, has been removed.

Again, if we extend the analysis to the whole economy, a rise in the minimum wage will be partly passed on in higher prices or stimulate employers to increase labour productivity. The effect will be to shift the (MRPL) curve upwards to the right, thereby allowing the firm to pass on higher wages and reducing any incentive to reduce employment.

Effects on employment: evidence

There is little evidence that raising the minimum wage in stages will create unemployment, although it may cause some redeployment. In the Low Pay Commission’s 2019 report, 20 years of the National Minimum Wage (see link below), it stated that since 2000 it had commissioned more than 30 research projects looking at the NMW’s effects on hours and employment and had found no strong evidence of negative effects. Employers had adjusted to minimum wages in various ways. These included reducing profits, increasing prices and restructuring their business and workforce.

Along with our commissioned work, other economists have examined the employment effects of the NMW in the UK and have for the most part found no impact. This is consistent with international evidence suggesting that carefully set minimum wages do not have noticeable employment effects. While some jobs may be lost following a minimum wage increase, increasing employment elsewhere offsets this. (p.20)

There is general agreement, however, that a very large increase in minimum wages will impact on employment. This, however, should not be relevant to the rise in the NLW from £11.44 to £12.41 per hour in April 2025, which represents a real rise of around 4.5%. This at worst should have only a modest effect on employment and could be offset by economic growth.

What, however, has concerned commentators more is the rise in employers’ National Insurance contributions (NICs) that were announced in the Budget. In April 2025, the rate will increase from 13.8% to 15%. Employers’ NICs are paid for each employee on all wages above a certain annual threshold. This threshold will fall in April from £9100 to £5000. So the cost to an employer of an employee earning £38 000 per annum in 2024/25 would be £38 000 + ((£38 000 – £9100) × 0.138) = £41 988.20. For the year 2025/26 it will rise to £38 000 + ((£38 000 – £5000) × 0.15) = £42 950. This is a rise of 2.29%. (Note that £38 000 will be approximately the median wage in 2025/26.)

However, for employees on the new minimum wage, the percentage rise in employer NICs will be somewhat higher. A person on the new NLW of £12.41, working 40 hours per week and 52 weeks per year (assuming paid holidays), will earn an annual wage of £25 812.80. Under the old employer NIC rates, the employer would have paid (£25 812.80 + (£25 812.80 – £9100) × 0.138) = £28 119.17. For the year 2025/26, it will rise to £25 812.80 + ((£25 812.80 – £5000) × 0.15) = £28 934.72. This is a rise of 2.90%.

This larger percentage rise in employers’ wage costs for people on minimum wages than those on median wages, when combined with the rise in the NLW, could have an impact on the employment of those on minimum wages. Whether it does or not will depend on how rapid growth is and how much employers can absorb the extra costs through greater productivity and/or passing on the costs to their customers.

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UK Government reports and information

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Questions

  1. How is the October 2024 Budget likely to affect the distribution of income?
  2. What are the benefits and limitations of statutory minimum wages in reducing (a) poverty and (b) inequality?
  3. Under what circumstances will a rise in the minimum wage lead or not lead to an increase in unemployment?
  4. Find out what is meant by the UK Real Living Wage (RLW) and distinguish it from the UK National Living Wage (NLW). Why is the RLW higher?
  5. Why is the median wage rather than the mean wage used in setting the NLW?

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

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

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

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

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

Growing inequality?

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

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

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

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

The labour market

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

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

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

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

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

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

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

Other issues

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

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

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

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Questions

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

In two previous posts, one at the end of 2019 and one in July 2021, we looked at moves around the world to introduce a four-day working week, with no increase in hours on the days worked and no reduction in weekly pay. Firms would gain if increased worker energy and motivation resulted in a gain in output. They would also gain if fewer hours resulted in lower costs.

Workers would be likely to gain from less stress and burnout and a better work–life balance. What is more, firms’ and workers’ carbon footprint could be reduced as less time was spent at work and in commuting.

If the same output could be produced with fewer hours worked, this would represent an increase in labour productivity measured in output per hour.

The UK’s poor productivity record since 2008

Since the financial crisis of 2007–8, the growth in UK productivity has been sluggish. This is illustrated in the chart, which looks at the production industries: i.e. it excludes services, where average productivity growth tends to be slower. (Click here for a PowerPoint of the chart.)

Prior to the crisis, from 1998 to 2007, UK productivity in the production industries grew at an annual rate of 6.1%. From 2007 to the start of the pandemic in 2020, the average annual productivity growth rate in these industries was a mere 0.5%.

It grew rapidly for a short time at the start of the pandemic, but this was because many businesses temporarily shut down or went to part-time working, and many of these temporary job cuts were low-wage/low productivity jobs. If you take services, the effect was even stronger as sectors such as hospitality, leisure and retail were particularly affected and labour productivity in these sectors tends to be low. As industries opened up and took on more workers, so average productivity fell back. In the four quarters to 2022 Q3 (the latest data available), productivity in the production industries fell by 6.8%.

If you project the average productivity growth rate from 1998 to 2007 of 6.1% forwards (see grey dashed line), then by 2022 Q3, output per hour in the production industries would have been 21/4 times (125%) higher than it actually was. This is a huge productivity gap.

Productivity in the UK is lower than in many other competitor countries. According to the ONS, output per hour in the UK in 2021 was $59.14 in the UK. This compares with an average of $64.93 for the G7 countries, $66.75 in France, £68.30 in Germany, $74.84 in the USA, $84.46 in Norway and $128.21 in Ireland. It is lower, however, in Italy ($54.59), Canada ($53.97) and Japan ($47.28).

As we saw in the blog, The UK’s poor productivity record, low UK productivity is caused by a number of factors, not least the lack of investment in physical capital, both by private companies and in public infrastructure, and the lack of investment in training. Other factors include short-termist attitudes of both politicians and management and generally poor management practices. But one cause is the poor motivation of many workers and the feeling of being overworked. One solution to this is the four-day week.

Latest evidence on the four-day week

Results have just been released of a pilot programme involving 61 companies and non-profit organisations in the UK and nearly 3000 workers. They took part in a six-month trial of a four-day week, with no increase in hours on the days worked and no loss in pay for employees – in other words, 100% of the pay for 80% of the time. The trial was a success, with 91% of organisations planning to continue with the four-day week and a further 4% leaning towards doing so.

The model adopted varied across companies, depending on what was seen as most suitable for them. Some gave everyone Friday off; others let staff choose which day to have off; others let staff work 80% of the hours on a flexible basis.

There was little difference in outcomes across different types of businesses. Compared with the same period last year, revenues rose by an average of 35%; sick days fell by two-thirds and 57% fewer staff left the firms. There were significant increases in well-being, with 39% saying they were less stressed, 40% that they were sleeping better; 75% that they had reduced levels of burnout and 54% that it was easier to achieve a good work–life balance. There were also positive environmental outcomes, with average commuting time falling by half an hour per week.

There is growing pressure around the world for employers to move to a four-day week and this pilot provides evidence that it significantly increases productivity and well-being.

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Questions

  1. What are the possible advantages of moving to a four-day week?
  2. What are the possible disadvantages of moving to a four-day week?
  3. What types of companies or organisations are (a) most likely, (b) least likely to gain from a four-day week?
  4. Why has the UK’s productivity growth been lower than that of many of its major competitors?
  5. Why, if you use a log scale on the vertical axis, is a constant rate of growth shown as a straight line? What would a constant rate of growth line look like if you used a normal arithmetical scale for the vertical axis?
  6. Find out what is meant by the ‘fourth industrial revolution’. Does this hold out the hope of significant productivity improvements in the near future? (See, for example, last link above.)

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.

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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?

In a post at the end of 2019, we looked at moves around the world to introduce a four-day working week, with no increase in hours on the days worked and no reduction in weekly pay. Firms would gain if increased worker energy and motivation resulted in a gain in output. They would also gain if fewer hours resulted in lower costs.

Workers would be likely to gain from less stress and burnout and a better work–life balance. What is more, firms’ and workers’ carbon footprint could be reduced.

In New Zealand, Unilever has begun a one-year experiment to allow all 81 of its employees to work one day less each week and no more hours per day. This, it argues, might boost productivity and improve employees’ work-life balance.

The biggest experiment so far has been in Iceland. From 2015 to 2019 more than 2500 people took part in a pilot programme (about 1 per cent of Iceland’s working population). This involved reducing the working week to four days and reducing hours worked from 40 hours per week to 35 or 36 hours with no reduction in weekly pay.

Analysis of the results of the trial, published in July 2021, showed that output remained the same or improved in the majority of workplaces.

As a result of agreements struck with unions since the end of the pilot programme, 86% of Iceland’s workforce have either moved to shorter hours for the same pay or will gain the right to do so.

Many companies and public-sector employers around the world are considering reducing hours or days worked. With working patterns having changed for many employees during the pandemic, employers may now be more open to rethinking ways of deploying their workforce more productively. And this may involve rethinking worker motivation and welfare.

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Report

Questions

  1. Distinguish between different ways of measuring labour productivity.
  2. Summarise the results of the Iceland pilot.
  3. In what ways may reducing working hours reduce a firm’s total costs?
  4. What are the advantages and disadvantages of the government imposing (at some point in the future) a maximum working week or a four-day week?
  5. What types of firm might struggle in introducing a four-day week or a substantially reduced number of hours for full-time employees?
  6. What external benefits and costs might arise from a shorter working week?