Category: Economics 9e: Ch 23

I recently found myself talking about my favourite TV shows from my childhood. Smurfs aside, the most popular one for me (and I suppose for many other people from my generation) had to be Knight Rider. It was a story about a crime fighter (David Hasselhoff) and his a heavily modified, artificially intelligent Pontiac Firebird. ‘Kitt’ was a car that could drive itself, engage in thoughtful and articulate conversations, carry out missions and (of course) come up with solutions to complex problems! A car that was very far from what was technologically possible in the 80s – and this was part of its charm.

Today this technology is becoming reality. Google, Tesla and most major automakers are testing self-driving cars with many advanced features like Kitt’s – if not better. They may not fire rockets, but they can drive themselves; they can search the internet; they can answer questions in a language of your choice; and they can be potentially integrated with a number of other technologies (such as car sharing apps) to revolutionise the way we own and use our cars. It will take years until we are able to purchase and use a self-driving car – but it appears very likely that this technology is going to become roadworthy within our lifetime.

Artificial intelligence (AI) is already becoming part of our life. You can buy a robotic vacuum cleaner online for less than a £1000. You can get gadgets like Amazon’s Alexa, that can help you automate your supermarket shopping, for instance. If you are Saudi, you can boast that you are compatriots with a humanoid: Saudi Arabia was the first country to grant citizenship to Sophia, an impressive humanoid and apparently a notorious conversationalist who does not miss an opportunity to address a large audience – and it has done so numerous times already in technology fairs, national congresses – even the UN Assembly! Sophia is the first robot to be honoured with a UN title!

What will be the impact of such technologies on labour markets? If cars can drive themselves, what is going to happen to the taxi drivers? Or the domestic housekeepers – who may find themselves increasingly displaced by cleaning robots. Or warehouse workers who may find themselves displaced by delivery bots (did you know that Alibaba, the Chinese equivalent of eBay, owns a warehouse where most of the work is carried out by robots?). There is no doubt that labour markets are bound to change. But should we (the human labour force) be worried about it? Acemoglu et al (2017) think that we should:

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 per cent.[1]

Automation is likely to affect unskilled workers more than skilled ones, as unskilled jobs are the easiest ones to automate. This could have widespread social implications, as it might widen the divide between the poor (who are more likely to have unskilled jobs) and the affluent (who are more likely to own AI technologies). As mentioned in a recent Boston Consulting Group report (see below):

The future of work is likely to involve large structural changes to the labour market and potentially a net loss of jobs, mostly in routine occupations. An estimated 15 million UK jobs could be at risk of automation, with 63 per cent of all jobs impacted to a medium or large extent.

On the other hand, the adoption of automation is likely to result in higher efficiency, huge productivity gains and less waste. Automation will enable us to use the resources that we have in the most efficient way – and this is bound to result in wealth creation. It will also push human workers away from manual, routine jobs – and it will force them to acquire skills and engage in creative thinking. One thing is for certain: labour markets are changing and they are changing fast!

Videos

Articles

Report

Questions

  1. What do you think is going to be the effect of automation on labour market participation in the future? Why?
  2. Using the Solow growth model, explain how automation is likely to affect economic growth and capital returns.
  3. In the context of the answer you gave to question 2, explain how human capital accumulation may affect the ability of workers to benefit from automation.

[1] Daron Acemoglu and Pascual Restrepo, Robots and Jobs: Evidence from US Labor Markets, NBER Working Paper No. 23285 (March 2017)

On 15 January 2018, Carillion went into liquidation. It was a major construction, civil engineering and facilities management company in the UK and was involved in a large number of public- and private-sector projects. Many of these were as a partner in a joint venture with other companies.

It was the second largest supplier of construction and maintenance services to Network Rail, including HS2. It was also involved in the building of hospitals, including the new Royal Liverpool University Hospital and Midland Metropolitan Hospital in Smethwick. It also provided maintenance, cleaning and catering services for many schools, universities, hospitals, prisons, government departments and local authorities. In addition it was involved in many private-sector projects.

Much of the work on the projects awarded to Carillion was then outsourced to other companies, many of which are small construction, maintenance, equipment and service companies. A large number of these may themselves be forced to close as projects cease and many bills remain unpaid.

Many of the public-sector projects in which Carillion was involved were awarded under the Public Finance Initiative (PFI). Under the scheme, the government or local authority decides the service it requires, and then seeks tenders from the private sector for designing, building, financing and running projects to provide these services. The capital costs are borne by the private sector, but then, if the provision of the service is not self-financing, the public sector pays the private firm for providing it. Thus, instead of the public sector being an owner of assets and provider or services, it is merely an enabler, buying services from the private sector. The system is known as a Public Private Partnership.

Clearly, there are immediate benefits to the public finances from using private, rather than public, funds to finance a project. Later, however, there is potentially an extra burden of having to buy the services from the private provider at a price that includes an element for profit. What is hoped is that the costs to the taxpayer of these profits will be more than offset by gains in efficiency.

Critics, however, claim that PFI projects have resulted in poorer quality of provision and that cost control has often been inadequate, resulting in a higher burden for the taxpayer in the long term. What is more, many of the projects have turned out to be highly profitable, suggesting that the terms of the original contracts were too lax.

There was some modification to the PFI process in 2012 with the launching of the government’s modified PFI scheme, dubbed PF2. Most of the changes were relatively minor, but the government would act as a minority public equity co-investor in PF2 projects, with the public sector taking stakes of up to 49 per cent in individual private finance projects and appointing a director to the boards of each project. This, it was hoped, would give the government greater oversight of projects.

With the demise of Carillion, there has been considerable debate over outsourcing by the government to the private sector and of PFI in particular. Is PFI the best model for funding public-sector investment and the running of services in the public sector?

On 18 January 2018, the National Audit Office published an assessment of PFI and PF2. The report stated that there are currently 716 PFI and PF2 projects 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 has slowed significantly, reducing from, on average, 55 deals each year in the five years to 2007-08 to only one in 2016-17.’

Should the government have closer oversight of private providers? The government has been criticised for not heeding profit warnings by Carillion and continuing to award it contracts.

Should the whole system of outsourcing and PFI be rethought? Should more construction and services be brought ‘in-house’ and directly provided by the public-sector organisation, or at least managed directly by it with a direct relationship with private-sector providers? The articles below consider these issues.

Articles

Carillion collapse: How can one of the Government’s biggest contractors go bust? Independent, Ben Chu (15/1/18)
The main unanswered questions raised by Carillion’s collapse The Telegraph, Jon Yeomans (15/1/18)
Carillion taskforce to help small firms hit by outsourcer’s collapse The Telegraph, Rhiannon Curry (18/1/18)
Carillion Q&A: The consequences of collapse and what the government should do next The Conversation, John Colley (17/1/18)
UK finance watchdog exposes lost PFI billions Financial Times, Henry Mance and George Parker (17/1/18)
PFI not ‘fit for purpose’, says UK provider Financial Times, Gill Plimmer and Jonathan Ford (6/11/17)
Revealed: The £200bn Cost Of ‘Wasteful’ PFI Contracts Huffington Post, George Bowden (18/1/18)
U.K. Spends $14 Billion Per Year on Carillion-Style Projects Bloomberg, Alex Morales (18/1/18)
Carillion may have gone bust, but outsourcing is a powerful public good The Guardian, John McTernan (17/1/18)
PFI deals ‘costing taxpayers billions’ BBC News (18/1/18)
Taxpayers will need to pay £200bn PFI bill, says Watchdog ITV News (18/1/18)
The PFI bosses fleeced us all. Now watch them walk away The Guardian, George Monbiot (16/1/18)
Carillion’s collapse shows that we need an urgent review of outsourcing The Guardian, David Walker (16/1/18)
Carillion collapse: What next for public services? LocalGov, Jos Creese (16/1/18)
Taxpayers to foot £200bn bill for PFI contracts – audit office The Guardian, Rajeev Syal (18/1/18)

Official publications
A new approach to public private partnerships HM Treasury (December 2012)
Private Finance Initiative and Private Finance 2 projects: 2016 summary data GOV.UK
PFI and PF2 National Audit Office (18/1/18)

Questions

  1. Why did Carillion go into liquidation? Could this have been foreseen?
  2. Identify the projects in which Carillion has been involved.
  3. What has the government proposed to deal with the problems created by Carillion’s liquidation?
  4. What are the advantages and disadvantages of the Public Finance Initiative?
  5. Why have the number and value of new PFI projects declined significantly in recent years?
  6. How might PFI projects be tightened up so as to retain the benefits and minimise the disadvantages of the system?
  7. Why have PFI cost reductions proved difficult to achieve? (See paragraphs 2.7 to 2.17 in the National Audit Office report.)
  8. How would you assess whether PFI deals represent value for money?
  9. What are the arguments for and against public-sector organisations providing services, such as cleaning and catering, directly themselves rather than outsourcing them to private-sector companies?
  10. Does outsourcing reduce risks for the public-sector organisation involved?

The UK is a productivity laggard. Compared to many developed countries over the recent past it has experienced weaker growth in output per worker and output per hour worked. This is detrimental to our longer-term well-being and to peoples’ living standards. An important contributory factor has been the weakness of growth in (non-financial) capital per worker. Recent ONS figures show that UK experienced a decline in capital per worker from 2012 to 2015, which was only ended in 2016.

Non-financial capital assets (also known as fixed assets) are defined as already-produced, durable goods or any non-financial asset used in the production of goods or services. This includes items such as dwellings, buildings, ICT, machinery and transport equipment.

Chart 1 shows the value of net capital assets in the UK since 1995. ‘Net’ figures account for the depreciation of assets and so reflect the market value of the capital stock. At the end of 2016 the net capital stock was estimated at £7.54 trillion (at 2015 prices) compared to £4.94 trillion (at 2015 prices) in 1995, an increase of 53 per cent or about 2.4 per cent per year.

However, as the chart shows, the rate of growth slowed markedly following the financial crisis of the late 2000s, averaging a mere 0.8 per cent per year since 2010. (Click here for a Powerpoint of the chart).

Capital intensity can be measured by the amount of capital per employee. Capital intensity is important because the growth in net capital per employee impacts on productivity. Its growth has an impact on the current effectiveness of capital and labour in production and on the future growth in potential output per employee.

Chart 2 shows that, following the financial crisis, falling employment levels temporarily boosted the growth in net capital per employee. Then, as employment levels recovered and began growing again, the weakness in investment meant that net capital per employee began to fall.

In 2016, as employment growth slowed, the now stronger flows of investment meant that, for the first time since 2011, net capital per employee was finally rising again. (Click here for a PowerPoint of the chart).

The persistent weakness experienced by UK in the growth of capital intensity in the 2010s is a drag on productivity and on supply-side growth. The weakness of UK productivity growth looks like remaining for some time one of the biggest economic challenges facing policymakers. Productivity needs its capital.

Articles

UK business investment on ice until more Brexit progress, warns BCC The Guardian, Richard Partington (11/12/17)
Budget 2017: Can Digital Plug The UK’s Productivity Gap? Hufttington Post, William Newton (27/11/17)
UK productivity estimates must be ‘significantly’ lowered, admits OBR The Guardian, Richard Partington and Phillip Inman (13/12/17)
UK productivity sees further fall BBC News (6/10/17)

Data

Capital stocks, consumption of fixed capital in the UK: 2017 ONS

Questions

  1. How might we measure productivity?
  2. Compose a list of items that are examples of non-financial (or fixed) capital.
  3. How can the growth of non-financial (or fixed) capital affect productivity?
  4. What is meant by capital intensity? Why is this concept important for long-term growth?
  5. What factors might affect the rate of capital accumulation? Are there interventions that governments can make to impact on the rate of capital accumulation?
  6. Discuss the possible reasons why the UK has become a productivity laggard.

Where you live in Great Britain can have a profound effect on your earning potential. According to a report published by the Social Mobility Commission, there is a growing geographical divide, with more affluent areas getting relatively richer, while ‘many other parts of the country are being left behind economically and hollowed out socially’.

The Commission uses a Social Mobility Index to rank the 324 local authorities in England. The index is a measure of the social mobility prospects for people from disadvantaged backgrounds. It is ‘made up of 16 key performance indicators spanning each major life stage’.

The index shows that children from disadvantaged backgrounds have lower educational attainment, poorer initial jobs and poorer prospects for advancement in the labour market. Often they are stuck in low paid jobs with little chance of getting on the housing ladder and fewer chances of moving away from the area.

The problem is not simply one of a North-South divide or one of inner cities versus the suburbs. Many inner-city areas have been regenerated, with high incomes and high social and geographical mobility. Other inner-city areas remain deprived.

The worst performing areas are remote rural or coastal areas and former industrial areas, where industries have closed. As the author of the report states in the Guardian article linked below:

These areas have fewer specialist teachers, fewer good schools, fewer good jobs and worse transport links. … Many of these areas have suffered from a lack of regeneration: few high-paying industries are located there, and they often exhibit relatively limited job opportunities and clusters of low pay.

The problem often exists within areas, with some streets exhibiting growing affluence, where the residents have high levels of social mobility, while other streets have poor housing and considerable levels of poverty and deprivation. Average incomes for such areas thus mask this type of growing divide within areas. Indeed, some of the richest areas have worse outcomes for disadvantaged children than generally poorer areas.

There are various regional and local multiplier effects that worsen the situation. Where people from disadvantaged backgrounds are successful, they tend to move away from the deprived areas to more affluent ones, thereby boosting the local economy in such areas and providing no stimulus to the deprived areas. And so the divide grows.

Policies, according to the report, need to focus public investment, and incentives for private investment, in deprived areas. They should not focus simply on whole regions. You can read the specific policy recommendations in the articles below.

Articles

Social mobility is a stark postcode lottery. Too many in Britain are being left behind The Guardian, Alan Milburn (28/11/17)
State of the Nation – Sector Response FE News (28/11/17)
Social mobility: the worst places to grow up poor BBC News, Judith Burns and Adina Campbell (28/11/17)
How Britain’s richest regions offer worst prospects for poor young people Independent, May Bulman (28/11/17)
Small Towns Worst Places In Britain For Social Mobility, New ‘State Of The Nation’ Report Reveals Huffington Post, Paul Waugh (28/11/17)

Report

Social mobility in Great Britain: fifth state of the nation report Social Mobility Commission, News (28/11/17)
Fifth State of the Nation Report Social Mobility Commission, News (28/11/17)

Questions

  1. Explain how local multipliers operate.
  2. What is the relationship between social immobility as identified in the report and the elasticity of supply of labour in specific jobs?
  3. What is the link between geographical, occupational and social mobility?
  4. Explain why, apart from London, English cities are ‘punching below their weight on social mobility outcomes’.
  5. Go through each of the key policy recommendations of the report and consider the feasibility of introducing them.
  6. What policies could be adopted to retain good teachers in schools in deprived areas?
  7. To what extent might an increased provision of training ease the problem of social mobility?
  8. Investigate policies adopted in other European countries to tackle local deprivation. Are there lessons that can be learned by the UK government, devolved governments, local authorities or other agencies?

In delivering his Budget on 22 November, Philip Hammond reported that the independent Office for Budget Responsibility had revised down its forecasts of growth in productivity and real GDP, and hence of earnings growth.

Today, median earnings are £23,000 per annum. This is £1500 less than the £24,500 that the median worker earned in 2008 in today’s prices. The OBR forecasts a growth in real household disposable income of just 0.35% per annum for the next four years.

With lower growth in earnings would come a lower growth in tax revenues. With his desire to cut the budget deficit and start eventually reducing government debt, this would give the government less scope for spending on infrastructure, training and other public-sector investment; less scope to support public services, such as health and education; less scope for increasing benefits and public-sector wages.

The normal measure of productivity, and the one used by the OBR, is the value of output produced per hour worked. This has hardly increased at all since the financial crisis of 2008. It now takes an average worker in the UK approximately five days to produce the same amount as it takes an average worker in Germany four days. Although other countries’ productivity growth has also slowed since the financial crisis, it has slowed more in the UK and from a lower base – and is now forecast to rebound less quickly.

For the past few years the OBR has been forecasting that productivity growth would return to the trend rate of just over 2% that the UK achieved prior to 2008. For example, the forecasts it made in June 2010 are shown by the grey line in the chart, which were based on the pre-crash trend rate of growth in productivity (click on chart to enlarge). And the forecasts it made in November 2016 are shown by the pale green line. Yet each year productivity has hardly changed at all. Today output per hour is less than 1% above its level in 2008.

Now the OBR believes that poorer productivity growth will persist. It is still forecasting an increase (the blue line in the chart) – but by 0.7 of a percentage point less than it was forecasting a year ago (the pale green line): click here for a PowerPoint of the chart.

We have assumed that productivity growth will pick up a little, but remain significantly lower than its pre-crisis trend rate throughout the next five years. On average, we have revised trend productivity growth down by 0.7 percentage points a year. It now rises from 0.9 per cent this year to 1.2 per cent in 2022. This reduces potential output in 2021-22 by 3.0 per cent. The ONS estimates that output per hour is currently 21 per cent below an extrapolation of its pre-crisis trend. By the beginning of 2023 we expect this to have risen to 27 per cent.

Why has there been such weak productivity growth?
Weak productivity growth has been caused by a mixture of factors.

Perhaps the most important is that investment as a percentage of GDP has been lower than before the financial crisis and lower than in other countries. Partly this has been caused by a lack of funding for investment as banks have sought to rebuild their capital and have cut down on riskier loans. Partly it has been caused by a lack of demand for investment, given sluggish rates of economic growth and the belief that austerity will continue.

And it is not just private investment. Public-sector investment in transport infrastructure, housing and education and training has been lower than in other countries. Indeed, the poor training record and low skill levels in the UK are main contributors to low productivity.

The fall in the pound since the Brexit vote has raised business costs and further dampened demand as incomes have been squeezed.

Another reason for low productivity growth has been that employers have responded to weak demand, not by laying off workers and thereby raising unemployment, but by retaining low-productivity workers on low wages. Another has been the survival of ‘zombie’ firms, which, by paying low wages and facing ultra-low interest rates, are able to survive competition from firms that do invest.

Why is weak productivity growth forecast to continue?
Looking forward, the nature of the Brexit deal will impact on confidence, investment, wages and growth. If the deal is bad for the UK, the OBR’s forecasts are likely to be too optimistic. As it is, uncertainty over the nature of the post-Brexit world is weighing heavily on investment as some businesses choose to wait before committing to new investment.

On the other hand, exports may rise faster as firms respond to the depreciation of the pound and this may stimulate investment, thereby boosting productivity.

Another factor is the effect of continuing tight Budgets. There was some easing of austerity in this Budget, as the Chancellor accepted a slower reduction in the deficit, but government spending will remain tight and this is likely to weigh on growth and investment and hence productivity.

But this may all be too gloomy. It is very difficult to forecast productivity growth, especially as it is hard to measure output in much of the service sector. It may be that the productivity growth forecasts will be revised up before too long. For example, the benefits from new technologies, such as AI, may flow through more quickly than anticipated. But they may flow through more slowly and the productivity forecasts may have to be revised down even further!

Articles

The OBR’s productivity “forecast” Financial Times, Kadhim Shubber
U.K. Faces Longest Fall in Living Standards on Record Bloomberg, Simon Kennedy and Thomas Penny (23/11/17)
Britain’s Productivity Pain Costs Hammond $120 Billion Bloomberg, Fergal O’Brien (22/11/17)
OBR slashes Britain’s growth forecast on sluggish productivity and miserly pay The Telegraph, Tim Wallace (22/11/17)
Budget 2017: Stagnant earnings forecast ‘astonishing’ BBC News (23/11/17)
Economists warn Budget measures to lift productivity fall short Financial Times, Gavin Jackson and Gill Plimmer (22/11/17)
Why the economic forecasts for Britain are so apocalyptic – and how much Brexit is to blame Independent, Ben Chu (24/11/17)
Growth holds steady as economists doubt OBR’s gloom The Telegraph, Tim Wallace (23/11/17)
Britain’s debt will not fall to 2008 levels until 2060s, IFS says in startling warning Independent, Lizzy Buchan (23/11/17)
Philip Hammond’s budget spots Britain’s problems but fails to fix them The Economist (22/11/17)
Debunking the UK’s productivity problem The Conversation, Paul Lewis (24/11/17)
Budget 2017: experts respond The Conversation (22/11/17)
Autumn Budget 2017 Forecasts Mean ‘Longest Ever Fall In Living Standards’, Says Resolution Foundation Huffington Post, Jack Sommers (23/11/17)
It May Just Sound Like A Statistic, But Productivity Growth Matters For All Of Us Huffington Post, Thomas Pope (24/11/17) (see also)
UK prospects for growth far weaker than first predicted, says OBR The Guardian, Angela Monaghan (22/11/17)
UK faces two decades of no earnings growth and more austerity, says IFS The Guardian, Phillip Inman (23/11/17)
Age of austerity isn’t over yet, says IFS budget analysis The Guardian, Larry Elliott (23/11/17)

Summary of Budget measures

Budget 2017: FT experts look at what it means for you Financial Times (24/11/17)

Official Documents

Autumn Budget 2017 HM Treasury (22/11/17)
Economic and fiscal outlook – November 2017 Office for Budget Responsibility (22/11/17)

IFS analysis

Autumn Budget 2017 Institute for Fiscal Studies (23/11/17)

Questions

  1. What measures of productivity are there other than output per hour? Why is output per hour normally the preferred measure of productivity?
  2. What factors determine output per hour?
  3. Why have forecasts of productivity growth rates been revised downwards?
  4. What are the implications of lower productivity growth for government finances?
  5. What could cause an increase in output per hour? Would there be any negative effects from these causes?
  6. What policies could the government pursue to increase productivity? How feasible are these policies? Explain.
  7. Would it matter if the government increased borrowing substantially to fund a large programme of public investment?