How would your life be without the internet? For many of you, this is a question that may be difficult to answer – as the internet has probably been an integral part of your life, probably since a very young age. We use internet infrastructure (broadband, 4G, 5G) to communicate, to shop, to educate ourselves, to keep in touch with each other, to buy and sell goods and services. We use it to seek and find new information, to learn how to cook, to download music, to watch movies. We also use the internet to make fast payments, transfer money between accounts, manage our ISA or our pension fund, set up direct debits and pay our credit-card bills.
I could spend hours writing about all the things that we do over the internet these days, and I would probably never manage to come up with a complete list. Just think about how many hours you spend online every day. Most likely, much of your waking time is spent using internet-based services one way or another (including apps on your phone, streaming on your phone, tablet or your smart TV and similar). If your access to the internet was disrupted, you would certainly feel the difference. What if you just couldn’t afford to have computer or internet access? What effect would that have on your education, your ability to find a job, and your income?
Martin Jenkins, a former homeless man, now entrepreneur, thinks that the magnitude of this effect is rather significant. In fact, he is so convinced about the importance of bringing the internet to poorer households, that he recently founded a company, Neptune, offering low-income households in the Bronx district of New York free access to online education, healthcare and finance portals. His venture was mentioned in a recent (and very interesting) BBC article – a link to which can be found at the end of this blog. But is internet connectivity really that important when it comes to economic and labour market outcomes? And is there a systematic link between economic growth and internet penetration rates?
These are all questions that have been the subject of intensive debate over the last few years, in the context of both developed and developing economies. Indeed, the ‘digital divide’ as it is known (the economic gap between the internet haves and have nots) is not something that concerns only developing countries. According to a recent policy brief published by the New York City Comptroller:
More than one-third (34 percent) of households in the Bronx lack broadband at home, compared to 30 percent in Brooklyn, 26 percent in Queens, 22 percent in Staten Island, and 21 percent in Manhattan.
The report goes on to present data on the percentage of households with internet connection at home by NYC district, and it does not take advanced econometric skills for one to notice that there is a clear link between median district income and broadband access. Wealthier districts (e.g. Manhattan Community District 1 & 2 – Battery Park City, Greenwich Village & Soho PUMA), tend to have a significantly higher share of households with broadband access, than less affluent ones (e.g. NYC-Brooklyn Community District 13 – Brighton Beach & Coney Island PUMA) – 88% of total households compared with 58%.
But, do these large variations in internet connectivity matter? The evidence is mixed. On the one hand, there are several studies that find a clear, strong link between internet penetration and economic growth. Czernich et al (2011), for instance, using data on OECD countries over the period 1996–2007, find that “a 10 percentage point increase in broadband penetration raised annual per capita growth by 0.9–1.5 percentage points”.
Another study by Koutroumpis (2018) examined the effect of rolling out broadband in the UK.
For the UK, the speed increase contributed 1.71% to GDP in total and 0.12% annually. Combining the effect of the adoption and speed changes increased UK GDP by 6.99% cumulatively and 0.49% annually on average”. (pp.10–11)
The evidence is less clear, however, when one tries to estimate the benefits between different types of workers – low and high skilled. In a recent paper, Atasoy (2013) finds that:
gaining access to broadband services in a county is associated with approximately a 1.8 percentage point increase in the employment rate, with larger effects in rural and isolated areas.
But then he adds:
most of the employment gains result from existing firms increasing the scale of their labor demand and from growth in the labor force. These results are consistent with a theoretical model in which broadband technology is complementary to skilled workers, with larger effects among college-educated workers and in industries and occupations that employ more college-educated workers.
Similarly, Forman et al (2009) analyse the effect of business use of advanced internet technology and local variation in US wage growth, over the period 1995–2000. Their findings show that:
Advanced internet technology is associated with larger wage growth in places that were already well off. These are places with highly educated and large urban populations, and concentration of IT-intensive industry. Overall, advanced internet explains over half of the difference in wage growth between these counties and all others.
How important then is internet access as a determinant of growth and economic activity and what role does it have in bridging economic disparities between communities? The answer to this question is most likely ‘very important’ – but less straightforward than one might have assumed.
- Comptroller, New York City, Internet Inequality
- Czernich, N., Falck, O., Kretschmer, T. and Woessmann, L., 2011, Broadband infrastructure and economic growth, The Economic Journal, 121(552), pp.505–32
- Koutroumpis, P., 2018, The economic impact of broadband: evidence from OECD countries, Ofcom
- Atasoy, H., 2013, The effects of broadband internet expansion on labor market outcomes, ILR Review, 66(2), pp.315–45
- Forman, C., Goldfarb, A. and Greenstein, S., 2009, The Internet and Local Wages: Convergence or Divergence? (No. w14750), National Bureau of Economic Research
- Is there a link between economic growth and internet access? Discuss, using examples.
- Explain the arguments for and against government intervention to subsidise internet access of poorer households.
- How important is the internet to you and your day to day life? Take a day offline (yes, really – a whole day). Then come back and write about it.
With the UK parliament in Brexit gridlock, the Labour opposition is calling for a general election. Although its policy over Brexit and a second referendum is causing splits in the party, the Labour party is generally agreed that pubic expenditure on health, education and transport infrastructure needs to increase – that there needs to be an end to fiscal austerity. However, to fund extra public expenditure would require an increase in taxes and/or an increase in government borrowing.
One of the arguments against increasing government borrowing is that it will increase public-sector debt. The desire to get public-sector debt down as a percentage of GDP has been central to both the Coalition and Conservative governments’ economic strategy. Austerity policies have been based on this desire.
But, in the annual presidential address to the American Economics Association, former chief economist at the IMF, Olivier Blanchard, criticised this position. He has argued for several years that cutting government deficits may weaken already weak economies and that this may significantly reduce tax revenues and potential national income, thereby harming recovery and doing long-term economic damage. Indeed, the IMF has criticised excessively tight fiscal policies for this reason.
In his presidential address, he expanded the argument to consider whether an increase in government borrowing will necessarily increase the cost of servicing government debt. When the (nominal) interest rate (r) on government borrowing is below the nominal rate of economic growth (gn), (r < gn), then even if total debt is not reduced, it is likely that the growth in tax revenues will exceed the growth in the cost of servicing the debt. Debt as a proportion of GDP will fall. The forecast nominal growth rate exceeds the 10-year nominal rate on government bonds by 1.3% in the USA, 2.2% in the UK and 1.8% in the eurozone. In fact, with the exception of a short period in the 1980s, nominal growth (gn) has typically exceeded the nominal interest rate on government borrowing (r) for decades.
When r < gn, this then gives scope for increasing government borrowing to fund additional government spending without increasing the debt/GDP ratio. Indeed, if that fiscal expansion increases both actual and potential income, then growth over time could increase, giving even more scope for public investment.
But, of course, that scope is not unlimited.
- What do you understand by ‘fiscal illusion’?
- What is the justification for reducing government debt as a proportion of GDP?
- What are the arguments against reducing government debt as a proportion of GDP?
- Explain the significance of the relationship between r and gn for fiscal policy and the levels of government debt, government borrowing and the government debt/GDP ratio.
- Under what circumstances would a rise in the budget deficit not lead to a rise in government debt as a proportion of GDP?
- Does Blanchard’s analysis suggest that a combination of both loose monetary policy and loose fiscal policy is desirable?
- Under Blanchard’s analysis, what would limit the amount that governments should increase spending?
It is impossible to make both precise and accurate forecasts of a country’s rate of economic growth, even a year ahead. And the same goes for other macroeconomic variables, such as the rate of unemployment or the balance of trade. The reason is that there are so many determinants of these variables, such as political decisions or events, which themselves are unpredictable. Economics examines the effects of human interactions – it is a social science, not a natural science. And human behaviour is hard to forecast.
Nevertheless, economists do make forecasts. These are best estimates, taking into account a number of determinants that can be currently measured, such as tax or interest rate changes. These determinants, or ‘leading indicators’, have been found to be related to future outcomes. For example, surveys of consumer and business confidence give a good indication of future consumer expenditure and investment – key components of GDP.
Leading indicators do not have to be directly causal. They could, instead, be a symptom of underlying changes that are themselves likely to affect the economy in the future. For example, changes in stock market prices may reflect changes in confidence or changes in liquidity. It is these changes that are likely to have a direct or indirect causal effect on future output, employment, prices, etc.
Macroeconomic models show the relationships between variables. They show how changes in one variable (e.g. increased investment) affect other variables (e.g. real GDP or productivity). So when an indicator changes, such as a rise in interest rates, economists use these models to estimate the likely effect, assuming other things remain constant (ceteris paribus). The problem is that other things don’t remain constant. The economy is buffeted around by a huge range of events that can affect the outcome of the change in the indicator or the variable(s) it reflects.
Forecasting can never therefore be 100% accurate (except by chance). Nevertheless, by carefully studying leading indicators, economists can get a good idea of the likely course of the economy.
Leading indicators of the US economy
At the start of 2019, several leading indicators are suggesting the US economy is likely to slow and might even go into recession. The following are some of the main examples.
Political events. This is the most obvious leading indicator. If decisions are made that are likely to have an adverse effect on growth, a recession may follow. For example, decisions in the UK Parliament over Brexit will directly impact on UK growth.
As far as the USA is concerned, President Trump’s decision to put tariffs on steel and aluminium imports from a range of countries, including China, the EU and Canada, led these countries to retaliate with tariffs on US imports. A tariff war has a negative effect on growth. It is a negative sum game. Of course, there may be a settlement, with countries agreeing to reduce or eliminate these new tariffs, but the danger is that the trade war may continue long enough to do serious damage to global economic growth.
But just how damaging it is likely to be is impossible to predict. That depends on future political decisions, not just those of the recent past. Will there be a global rise in protectionism or will countries pull back from such a destructive scenario? On 29 December, President Trump tweeted, ‘Just had a long and very good call with President Xi of China. Deal is moving along very well. If made, it will be very comprehensive, covering all subjects, areas and points of dispute. Big progress being made!’ China said that it was willing to work with the USA over reaching a consensus on trade.
Rises in interest rates. If these are in response to a situation of excess demand, they can be seen as a means of bringing inflation down to the target level or of closing a positive output gap, where real national income is above its potential level. They would not signify an impending recession. But many commentators have interpreted rises in interest rates in the USA as being different from this.
The Fed is keen to raise interest rates above the historic low rates that were seen as an ’emergency’ response to the financial crisis of 2007–8. It is also keen to reverse the policy of quantitative easing and has begun what might be described as ‘quantitative tightening’: not buying new bonds when existing ones that it purchased during rounds of QE mature. It refers to this interest rate and money supply policy as ‘policy normalization‘. The Fed maintains that such policy is ‘consistent with sustained expansion of economic activity, strong labor market conditions, and inflation near the Committee’s symmetric 2 percent objective over the medium term’.
However, many commentators, including President Trump, have accused the Fed of going too fast in this process and of excessively dampening the economy. It has already raised the Federal Funds Rate nine times by 0.25 percentage points each time since December 2015 (click here for a PowerPoint file of the chart). What is more, announcing that the policy will continue makes such announcements themselves a leading indicator of future rises in interest rates, which are a leading indicator of subsequent effects on aggregate demand. The Fed has stated that it expects to make two more 0.25 percentage point rises during 2019.
Surveys of consumer and business confidence. These are some of the most significant leading indicators as consumer confidence affects consumer spending and business confidence affects investment. According to the Duke CFO Global Business Outlook, an influential survey of Chief Financial Officers, ‘Nearly half (48.6 per cent) of US CFOs believe that the US will be in recession by the end of 2019, and 82 per cent believe that a recession will have begun by the end of 2020’. Such surveys can become self-fulfilling, as a reported decline in confidence can itself undermine confidence as both firms and consumers ‘catch’ the mood of pessimism.
Stock market volatility. When stock markets exhibit large falls and rises, this is often a symptom of uncertainty; and uncertainty can undermine investment. Stock market volatility can thus be a leading indicator of an impending recession. One indicator of such volatility is the VIX index. This is a measure of ’30-day expected volatility of the US stock market, derived from real-time, mid-quote prices of S&P 500® Index (SPXSM) call and put options. On a global basis, it is one of the most recognized measures of volatility – widely reported by financial media and closely followed by a variety of market participants as a daily market indicator.’ The higher the index, the greater the volatility. Since 2004, it has averaged 18.4; from 17 to 28 December 2018, it averaged 28.8. From 13 to 24 December, the DOW Jones Industrial Average share index fell by 11.4 per cent, only to rise by 6.2 per cent by 27 December. On 26 December, the S&P 500 index rallied 5 per cent, its best gain since March 2009.
Not all cases of market volatility, however, signify an impending recession, but high levels of volatility are one more sign of investor nervousness.
Oil prices. When oil prices fall, this can be explained by changes on the demand and/or supply side of the oil market. Oil prices have fallen significantly over the past two months. Until October 2018, oil prices had been rising, with Brent Crude reaching $86 per barrel by early October. By the end of the year the price had fallen to just over $50 per barrel – a fall of 41 per cent. (Click here for a PowerPoint file of the chart.) Part of the explanation is a rise in supply, with shale oil production increasing and also increased output from Russia and Saudi Arabia, despite a commitment by the two countries to reduce supply. But the main reason is a fall in demand. This reflects both a fall in current demand and in anticipated future demand, with fears of oversupply causing oil companies to run down stocks.
Falling oil prices resulting from falling demand are thus an indicator of lack of confidence in the growth of future demand – a leading indicator of a slowing economy.
The yield curve. This depicts the yields on government debt with different lengths to maturity at a given point in time. Generally, the curve slopes upwards, showing higher rates of return on bonds with longer to maturity. This is illustrated by the blue line in the chart. (Click here for a PowerPoint file of the chart.) This is as you would expect, with people requiring a higher rate of return on long-term lending, where there is normally greater uncertainty. But, as the Bloomberg article, ‘Don’t take your eyes off the yield curve‘ states:
Occasionally, the curve flips, with yields on short-term debt exceeding those on longer bonds. That’s normally a sign investors believe economic growth will slow and interest rates will eventually fall. Research by the Federal Reserve Bank of San Francisco has shown that an inversion has preceded every US recession for the past 60 years.
The US economy is 37 quarters into what may prove to be its longest expansion on record. Analysts surveyed by Bloomberg expect gross domestic product growth to come in at 2.9 percent this year, up from 2.2 percent last year. Wages are rising as unfilled vacancies hover near all-time highs.
With times this good, the biggest betting game on Wall Street is when they’ll go bad. Barclays Plc, Goldman Sachs Group Inc., and other banks are predicting inversion will happen sometime in 2019. The conventional wisdom: Afterward it’s only a matter of time – anywhere from 6 to 24 months – before a recession starts.
As you can see from the chart, the yield curve on 24 December 2018 was still slightly upward sloping (expect between 6-month and 1-year bonds) – but possibly ready to ‘flip’.
However, despite the power of an ‘inverted’ yield in predicting previous recessions, it may be less reliable now. The Fed, as we saw above, has already signalled that it expects to increase short-term rates in 2019, probably at least twice. That alone could make the yield curve flatter or even downward sloping. Nevertheless, it is still generally thought that a downward sloping yield curve would signal belief in a likely slowdown, if not outright recession.
So, is the USA heading for recession?
The trouble with indicators is that they suggest what is likely – not what will definitely happen. Governments and central banks are powerful agents. If they believed that a recession was likely, then fiscal and monetary policy could be adjusted. For example, the Fed could halt its interest rate rises and quantitative tightening, or even reverse them. Also, worries about protectionism may subside if the USA strikes new trade deals with various countries, as it did with Canada and Mexico in USMCA.
- A jarring new survey shows CEOs think a recession could strike as soon as year-end 2019
Business Insider, Joe Ciolli (17/12/18)
- 4 Recession Indicators to Watch Now
Barron’s, Campbell Harvey (20/12/18)
- 9 Reasons the US Will Have a Recession Next Year
24/7 Wall St, Douglas A. McIntyre (26/12/18)
- The global economy is living dangerously – but don’t expect superpowers to follow the 2008 script
Independent, Ben Chu (3/1/19)
- Could a recession be just around the corner?
The Conversation, Amitrajeet A Batabyal (6/12/18)
- The US is on the edge of the economic precipice – Trump may push it over
The Guardian, Robert Reich (23/12/18)
- US prepares to hit the wall as reckless Trump undoes years of hard work
The Guardian, (Business Leader) (23/12/18)
- The first signs of the next recession
New Statesman, Helen Thompson (23/11/18)
- Is a Recession Coming? CFOs Predict 2019 Recession, Majority Expect Pre-2020 Market Crash
Newsweek, Benjamin Fearnow (12/12/18)
- Trade slowdown coming at worst time for world economy, markets
Reuters, Jamie McGeever (19/12/18)
- How to spot the next recession
The Week, Jeff Spross (27/11/18)
- What Is a Recession, and Why Are People Talking About the Next One?
New York Times, Niraj Chokshi (17/12/180
- For the American Economy, Storm Clouds on the Horizon
New York Times, Binyamin Appelbaum (28/11/18)
- Don’t Take Your Eyes Off the Yield Curve
Bloomberg Businessweek, Liz McCormick and Jeanna Smialek (16/11/18)
- What to expect from 2019’s ‘post-peak’ economy
CNN, Larry Hatheway (19/12/18)
- Worried about the next recession? Here’s what to watch instead of the yield curve
Quartz, Gwynn Guilford (17/12/18)
- Leading Economic Indicators and How to Use Them
The Balance, Kimberly Amadeo (10/9/18)
Surveys and Data
- Define the term ‘recession’.
- Are periods of above-trend expansion necessarily followed by a recession?
- Give some examples of leading indicators other than those given above and discuss their likely reliability in predicting a recession.
- Find out what has been happening to confidence levels in the EU over the past 12 months. Does this provide evidence of an impending recession in the EU?
- For what reasons may there be lags between a change in an indicator and a change in the variables for which it is an indicator?
- Why has the shape of the yield curve previously been a good predictor of the future course of the economy? Is it likely to be at present?
- What is the relationship between interest rates, government bond prices (‘Treasuries’ in the USA) and the yield on such bonds?
The Christmas and new year period often draws attention to the financial well-being of households. An important determinant of this is the extent of their indebtedness. Rising levels of debt mean that increasing amounts of households’ incomes becomes prey to servicing debt through repayments and interest charges. They can also result in more people becoming credit constrained, unable to access further credit. Rising debt levels can therefore lead to a deterioration of financial well-being and to financial distress. This was illustrated starkly by events at the end of the 2000s.
The total amount of lending by monetary financial institutions to individuals outstanding at the end of October 2018 was estimated at £1.61 trillion. As Chart 1 shows, this has grown from £408 billion in 1994. Hence, indivduals in the UK have experience a four-fold increase in the levels of debt. (Click here to download a PowerPoint of the chart.)
The debt of individuals is either secured or unsecured. Secured debt is debt secured by property, which for individuals is more commonly referred to as mortgage debt. Unsecured debt, which is also known as consumer credit, includes outstanding debt on credit cards, overdrafts on current accounts and loans for luxury items such as cars and electrical goods. The composition of debt in 2018 is unchanged from that in 1994: 87 per cent is secured debt and 13 per cent unsecured debt.
The fourfold increase in debt is taken by some economists as evidence of financialisation. While this term is frequently defined in distinctive ways depending upon the content in which it is applied, when viewed in very general terms it describes a process by which financial institutions and markets become increasingly important in everyday lives and so in the production and consumption choices that economists study. An implication of this is that in understanding economic decisions, behaviour and outcomes it becomes increasingly important to think about the potential impact of the financial system. The financial crisis is testimony to this.
In thinking about financial well-being, at least at an aggregate level, we can look at the relative size of indebtedness. One way of doing this is to measure the stock of individual debt relative to the annual flow of GDP (national income). This is illustrated in Chart 2. (Click hereto download a PowerPoint of the chart.)
The growth in debt among individuals owed to financial institutions during the 2000s was significant. By the end of 2007, the debt-to-GDP ratio had reached 88 per cent. Decomposing this, the secured debt-to-GDP ratio had reached 75 per cent and the unsecured debt-to-GDP ratio 13 per cent. Compare this with the end of 1994 when secured debt was 46 per cent of GDP, unsecured debt 7 per cent and total debt 53 per cent. In other words, the period between 1994 and 2007 the UK saw a 25 percentage point increase in the debt-to-GDP ratio of individuals.
The early 2010s saw a consolidation in the size of the debt (see Chart 1) which meant that it was not until 2014 that debt levels rose above those of 2008. This led to the size of debt relative to GDP falling back by close to 10 percentage points (see Chart 2). Between 2014 and 2018 the stock of debt has increased from around £1.4 trillion to the current level of £1.61 trillion. This increase has been matched by a similar increase in (nominal) GDP so that the relative stock of debt remains little changed at present at around 76 per cent of GDP.
Chart 3 shows the annual growth rate of net lending (lending net of repayments) by monetary financial institutions to individuals. This essentially captures the growth rate in the stocks of debt, though changes in the actual stock of debt are also be affected by the writing-off of debts. (Click here to download a PowerPoint of the chart.)
We can see quite readily the pick up in lending from 2014. The average annual rate of growth in total net lending since 2014 has been just a little under 3½ per cent. This has been driven by unsecured lending whose growth rate has been close to 8½ per cent per annum, compared to just 2.7 per cent for secured lending. In 2016 the annual growth rate of unsecured lending was just shy of 11 per cent. This helped to fuel concerns about possible future financial distress. These concerns remain despite the annual rate of growth in unsecured debt having eased slightly to 7.5 per cent.
Despite the aggregate debt-to-GDP ratio having been relatively stable of late, the recent growth in debt levels is clearly not without concern. It has to be viewed in the context of two important developments. First, there remains a ‘debt hangover’ from the financial distress experienced by the private sector at the end of the 2000s, which itself contributed to a significant decline in economic activity (real GDP fell by 4 per cent in 2009). This subequently affected the financial well-being of the public sector following its interventions to cushion the economy from the full effects of the economic downturn as well as to help stabilise the financial system. Second, there is considerable uncertainty surrounding the UK’s exit from the European Union.
The financial resilience of all sectors of the economy is therefore of acute concern given the unprecedented uncertainty we are currently facing while, at the same time, we are still feeling the effects of the financial distress from the financial crisis of the late 2000s. It therefore seems timely indeed for individuals to take stock of their stocks of debt.
- How might we measure the financial distress of individuals?
- If individuals are financially distressed how might this affect their consumption behaviour?
- How might credit constraints affect the relationship between consumption and income?
- What do you understand by the concept of ‘cash flow effects’ that arise from interest rate changes?
- How might the accumulation of secured and unsecured debt have different effects on consumer spending?
- What factors might explain the rate of accumulation of debt by individuals?
- What is meant by ‘financial resilience’ and why might this currently be of particular concern?
One of the announcements in the recent UK Budget was the ending of the Private Finance Initiative (PFI), including its revised form, PF2. PFI was introduced by the Conservative government in 1992. Subsequently, it was to become central to the Labour government’s ‘Third-way’ approach of using the private sector to deliver public projects and services.
PFI involves a public–private partnership (PPP). The private sector builds and/or runs public projects, such as new schools, hospitals, roads, bridges, student accommodation, and so on. The public sector, in the form of government departments, NHS foundation trusts, local authorities, etc., then pays the private sector company a rent for the infrastructure or pays the company to provide services. The benefit of PFI is that it allows private-sector capital to be used for new projects and thus reduces the need for government to borrow; the disadvantage is that it commits the public-sector body to payments over the long-term to the company involved.
As the chart shows, PFI became an important means of funding public service provision during the 2000s. In the 10-year period up to financial year 2007/08, more than 50 new projects were being signed each year.
As the number of projects grew and with them the long-term financial commitments of the public sector, so criticisms mounted. These included:
- Quality and cost. It was claimed that PFI projects were resulting in poorer quality of provision and that cost control was often poor, resulting in a higher burden for the taxpayer in the long term.
- Credit availability. PFI projects are typically dependent on the private partner using debt finance to acquire the necessary funds. Therefore, credit conditions affect the ability of PFI to fund the delivery of public services. With the credit crunch of 2008/9, many firms operating PFI projects found it difficult to raise finance.
- The financial health of the private partner. What happens if the private company runs into financial difficulties. In 2005, the engineering company Jarvis only just managed to avoid bankruptcy by securing refinancing on all 14 of its PFI deals.
Recognising these problems, in 2011 the government set up a review of PFI. The result was a revised form of PFI, known as ‘PF2’. PF2 projects involved tighter financial control, with the government acting as a minority co-investor; more robust tendering processes, with bidders required to develop a long-term financing solution, where bank debt does not form the majority of the financing of the project; the removal of cleaning, catering and other ‘soft services’.
Despite the government’s intention that PPPs remain an important plank of its funding of public services, the number of new PFI/PF2 projects has nonetheless declined sharply during the 2010s as the chart shows. Of the 715 PPP projects as of 31 March 2017, 631 had been signed before May 2010. Indeed, in 2016/17 only 1 new project was signed.
The collapse of Carillion
Concerns over PPPs remained despite the reforms under PF2. These were brought dramatically into focus with the collapse of Carillion plc (see the blog, Outsourcing, PFI and the demise of Carillion). Carillion was a British company focused on construction and facilities management (i.e. support services for organisations). It was a significant private-sector partner in PPP projects. By 2014 it had won 60 PPP projects in the UK and Canada, including hospitals, schools, university buildings, prisons, roads and railways.
However, Carillion had increasing burdens of debt, caused, in part, by various major acquisitions, including McAlpine in 2008. Events came to a head when, on 15 January 2018, an application was made to the High Court for a compulsory liquidation of the company.
A subsequent report for the House of Commons Public Administration and Constitutional Affairs Committee in light of the collapse of Carillion found that procurement procedures were fundamentally flawed. It found that contracts were awarded based on cost rather than quality. This meant that some contracts were not sustainable. Between 2016 and the collapse of Carillion the government had been forced to renegotiate more than £120m of contracts so that public services could continue.
The ending of PPPs?
On 18 January 2018, the National Audit Office published an assessment of PFI and PF2. The report stated that there were 716 PFI and PF2 projects at the time, either under construction or in operation, with a total capital value of £59.4 billion. In recent years, however, ‘the government’s use of the PFI and PF2 models had slowed significantly, reducing from, on average, 55 deals each year in the five years to 2007/8 to only one in 2016/17.’
At its conference in September 2018, the Labour shadow chancellor, John McDonnell, said that, if elected, a Labour government would not award any new PFI/PF2 contracts. He claimed that PFI/PF2 contracts were set to cost the taxpayer £200bn over the coming decade. Labour policy would be to review all existing PFI/PF2 contracts and bring the bulk of them fully back into the public sector.
Then in the Budget of 29 October 2018, the Chancellor announced that no further PFI/PF2 projects would be awarded, although existing ones would continue.
I have never signed off a PFI contract as chancellor, and I can confirm today that I never will. I can announce that the government will abolish the use of PFI and PF2 for future projects.
We will honour existing contracts. But the days of the public sector being a pushover, must end. We will establish a centre of excellence to actively manage these contracts in the taxpayers’ interest, starting in the health sector.
But does this mean that there will be no more public-private partnerships, of which PFI is just one example? The answer is no. As the Chancellor stated:
And in financing public infrastructure, I remain committed to the use of public-private partnership where it delivers value for the taxpayer and genuinely transfers risk to the private sector.
But just what form future PPPs will take is unclear. Clearly, the government will want to get value for money, but that depends on the mechanisms used to ensure efficient and high-quality projects. What is more, there is still the danger that the companies involved could end up with unsustainable levels of debt if economic circumstances change and it will still involve a burden on the taxpayer for the future.
- Find out how PF2 differs from PFI and assess the extent to which it overcame the problems identified with PFI.
- The government is not bringing back existing PFI contracts into the public sector, whereas the Labour Party would do so – at least with some of them. Assess the arguments for and against bringing PFI contracts ‘in-house’.
- Find out why Carillion collapsed. To what extent was this due to its taking on PFI contracts?
- What were the main findings of the National Audit Office’s assessment of PFI and PF2?
- The government still supports the use of public-private partnerships (PPPs). What form could these take other than as PFI/PF2 contracts? Would the problems associated with PFI/PF2 also apply to PPPs in general?