Some firms in the high-Covid, tier 3 areas in England are being forced to shut by the government. These include pubs and bars not serving substantial meals. Similarly, pubs in the central belt of Scotland must close. But how should such businesses and their employees be supported?
As we saw in the blog, The new UK Job Support Scheme: how much will it slow the rise in unemployment?, the government will support such businesses by paying two-thirds of each employees’ salary (up to a maximum of £2100 a month) and will give cash grants to the businesses of up to £3000 per month.
This support has been criticised by local leaders, such as those in Greater Manchester, as being insufficient. Workers, they argue, will struggle to pay their bills and the support for firms will be too little to prevent many closing for good. What is more, many firms and their employees in the supply chain, such as breweries, will get no support. Greater Manchester resisted being put into tier 3 unless the level of support was increased. However, tier 3 status was imposed on the authority on 20 October despite lack of agreement with local politicians on the level of support.
Jim O’Neill, Vice Chair of the Northern Powerhouse partnership, has argued that the simplest way of supporting firms forced to close is to guarantee their revenue. He stated that:
The government would be sensible to guarantee the revenues of businesses it is forcing to shut. It is easier, fairer and probably less costly in the long run – and a proper test of the government’s confidence that in the New Year two of the seven vaccines the UK has signed up to will work.
This would certainly help firms to survive and allow them to pay their employees. But would guaranteeing revenues mean that such firms would see an increase in profits? The questions below explore this issue.
- Identify the fixed and variable costs for a pub (not owned by a brewery).
- If a pub closed down but the wages of workers continued to be paid in full, what cost savings would be made?
- If a pub closed down but was given a monthly grant by the government equal to its previous monthly total revenue but had to pay the wages of it workers in full, what would happen to its profits?
- On 19 October, the Welsh government introduced a two-week lockdown for Wales. Under these restrictions, all non-essential retail, leisure, hospitality and tourism businesses had to close. Find out what support was on offer for such firms and their workforce and compare it to other parts of the UK.
- What type of support for leisure and hospitality businesses forced by the government to close would, in your opinion, be optimal? Justify your answer.
- Is there any moral hazard from the government providing support for businesses made unprofitable by the Covid-19 crisis? Explain.
The global economic impact of the coronavirus outbreak is uncertain but potentially very large. There has already been a massive effect on China, with large parts of the Chinese economy shut down. As the disease spreads to other countries, they too will experience supply shocks as schools and workplaces close down and travel restrictions are imposed. This has already happened in South Korea, Japan and Italy. The size of these effects is still unknown and will depend on the effectiveness of the containment measures that countries are putting in place and on the behaviour of people in self isolating if they have any symptoms or even possible exposure.
The OECD in its March 2020 interim Economic Assessment: Coronavirus: The world economy at risk estimates that global economic growth will be around half a percentage point lower than previously forecast – down from 2.9% to 2.4%. But this is based on the assumption that ‘the epidemic peaks in China in the first quarter of 2020 and outbreaks in other countries prove mild and contained.’ If the disease develops into a pandemic, as many health officials are predicting, the global economic effect could be much larger. In such cases, the OECD predicts a halving of global economic growth to 1.5%. But even this may be overoptimistic, with growing talk of a global recession.
Governments and central banks around the world are already planning measures to boost aggregate demand. The Federal Reserve, as an emergency measure on 3 March, reduced the Federal Funds rate by half a percentage point from the range of 1.5–1.75% to 1.0–1.25%. This was the first emergency rate cut since 2008.
With considerable uncertainty about the spread of the disease and how effective containment measures will be, stock markets have fallen dramatically. The FTSE 100 fell by nearly 14% in the second half of February, before recovering slightly at the beginning of March. It then fell by a further 7.7% on 9 March – the biggest one-day fall since the 2008 financial crisis. This was specifically in response to a plunge in oil prices as Russia and Saudi Arabia engaged in a price war. But it also reflected growing pessimism about the economic impact of the coronavirus as the global spread of the epidemic accelerated and countries were contemplating more draconian lock-down measures.
Firms have been drawing up contingency plans to respond to panic buying of essential items and falling demand for other goods. Supply-chain managers are working out how to respond to these changes and to disruptions to supplies from China and other affected countries.
Firms are also having to plan for disruptions to labour supply. Large numbers of employees may fall sick or be advised/required to stay at home. Or they may have to stay at home to look after children whose schools are closed. For some firms, having their staff working from home will be easy; for others it will be impossible.
Some industries will be particularly badly hit, such as airlines, cruise lines and travel companies. Budget airlines have cancelled several flights and travel companies are beginning to offer substantial discounts. Manufacturing firms which are dependent on supplies from affected countries have also been badly hit. This is reflected in their share prices, which have seen large falls.
Uncertainty could have longer-term impacts on aggregate supply if firms decide to put investment on hold. This would also impact on the capital goods industries which supply machinery and equipment to investing firms. For the UK, already having suffered from Brexit uncertainty, this further uncertainty could prove very damaging for economic growth.
While aggregate supply is likely to fall, or at least to grow less quickly, what will happen to the balance of aggregate demand and supply is less clear. A temporary rise in demand, as people stock up, could see a surge in prices, unless supermarkets and other firms are keen to demonstrate that they are not profiting from the disease. In the longer term, if aggregate demand continues to grow at past rates, it will probably outstrip the growth in aggregate supply and result in rising inflation. If, however, demand is subdued, as uncertainty about their own economic situation leads people to cut back on spending, inflation and even the price level may fall.
How quickly the global economy will ‘bounce back’ depends on how long the outbreak lasts and whether it becomes a serious pandemic and on how much investment has been affected. At the current time, it is impossible to predict with any accuracy the timing and scale of any such bounce back.
- Coronavirus: Global growth ‘could halve’ if outbreak intensifies
BBC News (2/3/20)
- Coronavirus: Eight charts on how it has shaken economies
BBC News, Lora Jones, David Brown & Daniele Palumbo (4/3/20)
- The economic ravages of coronavirus
BBC News, Douglas Fraser (7/3/20)
- What Coronavirus Could Mean for the Global Economy
Harvard Business Review, Philipp Carlsson-Szlezak, Martin Reeves and Paul Swartz (3/3/20)
- Coronavirus escalation could cut global economic growth in half – OECD
The Guardian, Richard Partington and Phillip Inman (2/3/20)
- U.S. Fed Cuts Rates, There Are Still Strategies The ECB Can Follow
Forbes, Stephen Pope (3/3/20)
- A coronavirus recession could be supply-side with a 1970s flavour
The Guardian, Kenneth Rogoff (3/3/20)
- Coronavirus will wreak havoc on the US economy
CNN, Mark Zandi (3/3/20)
- UK factories feel the effects of coronavirus spread – PMI
Reuters, William Schomberg (2/3/20)
- The first economic modelling of coronavirus scenarios is grim for Australia, the world
The Conversation, Australia, Warwick McKibbin and Roshen Fernando (3/3/20)
- Extraordinary complacency: the coronavirus and emerging markets
Financial Times, Geoff Dennis (2/3/20)
- Coronavirus Economic Impact On Global Economy
Seeking Alpha, Mark Bern (1/3/20)
- OECD warns coronavirus could halve global growth
Financial Times, Chris Giles, Martin Arnold and Brendan Greeley (2/3/20)
- BoE’s Carney sees ‘powerful and timely’ global response to coronavirus
Reuters, David Milliken, Elizabeth Howcroft (3/3/20)
- Using a supply and demand diagram, illustrate the fall in stock market prices caused by concerns over the effects of the coronavirus.
- Using either (i) an aggregate demand and supply diagram or (ii) a DAD/DAS diagram, illustrate how a fall in aggregate supply as a result of the economic effects of the coronavirus would lead to (a) a fall in real income and (i) a fall in the price level or (ii) a fall in inflation; (b) a fall in real income and (i) a rise in the price level or (ii) a rise in inflation.
- What would be the likely effects of central banks (a) cutting interest rates; (b) engaging in further quantitative easing?
- What would be the likely effects of governments running a larger budget deficit as a means of boosting the economy?
- Distinguish between stabilising and destabilising speculation. How would you characterise the speculation that has taken place on stock markets in response to the coronavirus?
- What are the implications of people being paid on zero-hour contracts of the government requiring workplaces to close?
- What long-term changes to working practices and government policy could result from short-term adjustments to the epidemic?
- Is the long-term macroeconomic impact of the coronavirus likely to be zero, as economies bounce back? Explain.
It’s been a while since I last blogged about labour markets and, in particular, about the effect of automation on wages and employment. My most recent post on this topic was on the 14th of April 2018 and it was mostly a reflection on some interesting findings that had been reported by Acemoglu et al (2017). More specifically, Acemoglu and Restrepo (2017) developed a theoretical framework to evaluate the effect of AI on employment and wages. They concluded that the effect was negative and potentially sizeable (for a more detailed discussion see my blog).
Using a model in which robots compete against human labor in the production of different tasks, we show that robots may reduce employment and wages … According to our estimates, one more robot per thousand workers reduces the employment to population ratio by about 0.18–0.34 percentage points and wages by 0.25–0.5 percent.
Since then, I have seen a constant stream of news on my news feed about the development of ever more advanced industrial robots and artificial intelligence. And this was not because of some spooky coincidence (or worse). It has been merely a reflection of the speed at which technology has been progressing in this field.
There are now robots that can run, jump, hold conversations with humans, do gymnastics (and even sweat for it!) and more. It is really impressive how fast change has been happening recently in this field – and, unsurprisingly, it has stimulated the interest of labour economists!
A paper that has recently come to my attention on this subject is by Graetz and Michaels (2018). The authors put together a panel dataset on robot adoption within seventeen countries from 1993 to 2007 and use advanced econometric techniques to evaluate the effect of these technologies on employment and productivity growth. Their analysis focuses exclusively on developed economies (due to data limitations, as they explain) – but their results are nevertheless intriguing:
We study here for the first time the relationship between industrial robots and economic outcomes across much of the developed world. Using a panel of industries in seventeen countries from 1993 to 2007, we find that increased use of industrial robots is associated with increases in labor productivity. We find that the contribution of increased use of robots to productivity growth is substantial and calculate using conservative estimates that it comes to 0.36 percentage points, accounting for 15% of the aggregate economy-wide productivity growth.
The pattern that we document is robust to including various controls for country trends and changes in the composition of labor and other capital inputs. We also find that robot densification is associated with increases in both total factor productivity and wages, and reductions in output prices. We find no significant relationship between the increased use of industrial robots and overall employment, although we find that robots may be reducing the employment of low-skilled workers.
This is very positive news for most – except, of course, for low-skilled workers. Indeed, like Acemoglu and Restrepo (2017) and many others, this study shows that the effect of automation on employment and labour market outcomes is unlikely to be uniform across all types of workers. Low-skilled workers are found again to be likely to lose out and be significantly displaced by these technologies.
And if you are wondering which sectors are likely to be disrupted most/first by automation, the rankings developed by McKinsey and Company (see chart below) would give you an idea of where the disruption is likely to start. Unsurprisingly, the sectors that seem to be the most vulnerable, are the ones that use the highest share of low-skilled labour.
- “The effect of automation on wages and employment is likely to be positive overall”. Discuss.
- Using examples and anecdotal evidence, do you agree with these findings?
- Using Google Scholar, put together a list of 5 recent (i.e. 2015 or later) articles and working papers on labour markets and automation. Compare and discuss their findings.
When did you last think about buying a new car? If not recently, then you may be in for a surprise next time you shop around for car deals. First, you will realise that the range of hybrid cars (i.e. cars that combine conventional combustion and electric engines) has widened significantly. The days when you only had a choice of Toyota Prius and another two or three hybrids are long gone! A quick search on the web returned 10 different models (although five of them belong to the Toyota Prius family), including Chevrolet Malibu, VW Jetta and Ford Fusion. And these are only the cars that are currently available in the UK market.
But the biggest surprise of all may be the number of purely (plug-) electric cars that are available to UK buyers these days. The table below provides a summary of total registrations of light-duty plug-electric cars by model in the UK, between 2010 and June 2016.
Source: Wikipedia, “Plug-in electric vehicles in the United Kingdom”
In 2010 there were nly 138 electric vehicles in total registered in the UK. They were indeed an unusual sight at that time – and good luck to you if you had one and you happened to run out of power in the middle of a journey. In 2011 this (small) number increased sevenfold – an increase that was driven mostly by the successful introduction of Nissan Leaf (635 electric Nissans were registered in the UK that year). And since then the number of electric vehicles registered in the country has increased with spectacular speed, at an average rate of 252% per year.
There is clearly strong interest in electric vehicles – an interest likely to increase as their price becomes more competitive. However, they are still very expensive items to buy, especially when compared with their conventional fuel-engine counterparts. What makes electric cars expensive? One thing is the cost of purchasing and maintaining a battery that can deliver a reasonable range. But the cost of batteries is falling, as more and more companies realise the potential of this new market and join the R&D race. As mentioned in a special report that was published recently in the FT:
The cost of lithium-ion batteries has fallen by 75 per cent over the past eight years, measured per kilowatt hour of output. Every time battery production doubles, costs fall by another 5 per cent to 8 per cent, according to analysts at Wood Mackenzie.
There is no doubt that more research will result in more efficient batteries, and will increase the interest in electric cars not only by consumers but also by producers, who already see the opportunity of this new global market. Does this mean that prices will necessarily fall further? You might think so, but then you have to take into consideration the availability and cost of mining further raw materials to make these batteries (such as cobalt, which is one of the materials used in the making of lithium-ion batteries and nearly half of which is currently sourced from the Democratic Republic of Congo). This may lead to bottlenecks in the production of new battery units. In which case, the price of batteries (and, by extension, the price of electric cars) may not fall much further until some new innovation happens that changes either the material or its efficiency.
The good news is that a lot of researchers are currently looking into these questions, and innovation will do what it always does: give solutions to problems that previously appeared insurmountable. They had better be fast because, according to estimates by Wood Mackenzie, the number of electric vehicles globally is expected to rise by over 50 times – from 2 million (in 2017) to over 125 million by 2035.
How many economists does it take to charge an electric car? I guess we are going to find out!
- Using a demand and supply diagram, explain the relationship between the price of a battery and the market (equilibrium) price of a plug-in electric vehicle.
- List all non-price factors that influence demand for plug-in electric vehicles. Briefly explain each.
- Should the government subsidise the development and production of electric car batteries? Explain the advantages and disadvantages of such intervention and take a position.
So here we are, summer is over (or almost over if you’re an optimist) and we are sitting in front of our screens reminiscing about hot sunny days (at least I do)! There is no doubt, however: a lot happened in the world of politics and economics in the past three months. The escalation of the US-China trade war, the run on the Turkish lira, the (successful?) conclusion of the Greek bailout – these are all examples of major economic developments that took place during the summer months, and which we will be sure to discuss in some detail in future blogs. Today, however, I will introduce a topic that I am very interested in as a researcher: the liberalisation of energy markets in developing countries and, in particular, Mexico.
Why Mexico? Well, because it is a great example of a large developing economy that has been attempting to liberalise its energy market and reverse price setting and monopolistic practices that go back several decades. Until very recently, the price of petrol in Mexico was set and controlled by Pemex, a state monopolist. This put Pemex under pressure since, as a sole operator, it was responsible for balancing growing demand and costs, even to the detriment of its own finances.
The petrol (or ‘gasoline’) price liberalisation started in May 2017 and took place in stages – starting in the North part of Mexico and ending in November of the same year in the central and southern regions of the country. The main objective was to address the notable decrease in domestic oil production that put at risk the ability of the country to meet demand; as well as Mexico’s increasing dependency on foreign markets affected by the surge of the international oil price. The government has spent the past five years trying to create a stronger regulatory framework, while easing the financial burden on the state and halting the decline in oil reserves and production. Unsurprisingly, opening up a monopolistic market turns out to be a complex and bumpy process.
Source: Author’s calculations using data from the Energy Information Bank, Ministry of Energy, Mexico
Despite all the reforms, retail petrol prices have kept rising. Although part of this price rise is demand-driven, an increasing number of researchers highlight the significance of the distribution of oil-related infrastructure in determining price outcomes at the federal and regional (state) level. Saturation and scarcity of both distribution and storage infrastructure are probably the two most significant impediments to opening the sector up to competition (Mexico Institute, 2018). You see, the original design of these networks and the deployment of the infrastructure was not aimed at maximising efficiency of distribution – the price was set by the monopolist and, in a way that was compliant with government policy (Mexico Institute, 2018). Economic efficiency was not always part of this equation. As a result, consumers located in better-deployed areas were subsidising the inherent logistics costs of less ‘well endowed’ regions by facing an artificially higher price than they would have in a competitive market.
But what about now? Do such differences in the allocation of infrastructure between regions lead to location-related differences in the price of petrol? If so, by how much? And, what policies should the government pursue to address such imbalances? These are all questions that I explore in one of my recent working papers titled ‘Widening the Gap: Lessons from the aftermath of the energy market reform in Mexico’ (with Hugo Vallarta) and I will be sharing some of the answers with you in a future blog.
- Are state-owned monopolies effective in delivering successful market outcomes? Why yes, why no?
- In the case of Mexico, are you surprised about the complexities that were involved with opening up markets to competition? Explain why.
- Use Google to identify countries in which energy markets are controlled by state-owned monopolies.