Category: Economics for Business: Ch 21

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.

Article

References

Questions

  1. Is there a link between economic growth and internet access? Discuss, using examples.
  2. Explain the arguments for and against government intervention to subsidise internet access of poorer households.
  3. 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.

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.

Registration of light-duty highway legal plug-electric cars by model in the UK between 2010 and June 2016

Model

Total registered at the end of(1)

Registrations by year between 2010 and December 2013

2Q 2016

2015

2014

2013

2012

2011

2010

Mitsubishi Outlander P-HEV

21 708

16 100

5 273

 

 

 

 

Nissan Leaf

12 837

11 219

6 838

1 812

699

635

 

BMW i3

4 457

3 574

1 534

NA

 

 

 

Renault Zoe

4 339

3 327

1 356

378

 

 

 

Mercedes-Benz C350 e

3 337

628

0

 

 

 

 

Tesla Model S

3 312

2 087

698

 

 

 

 

Volkswagen Golf GTE

2 657

1 359

0

 

 

 

 

Toyota Prius PHV

1 655

1 580

1 324

509

470

 

 

Audi A3 e-tron

1 634

1 218

66

 

 

 

 

Nissan e-NV200

1 487

1 047

399

 

 

 

 

BMW 330e iPerformance

1 479

 

 

 

 

 

 

BMW i8

1 307

1 022

279

 

 

 

 

Vauxhall Ampera

1 267

1 272

1 169

175

455

4

 

Volvo XC90 T8

813

38

 

 

 

 

 

Renault Kangoo Z.E

785

740

663

 

 

 

 

Porsche Panamera S E-Hybrid

475

395

241

 

 

 

 

Volvo V60 Plug-in Hybrid

410

337

232

 

 

 

 

Peugeot iOn

405

374

368

26(2)

251

124

 

Mercedes-Benz B-Class Electric Drive

303

162

0

 

 

 

 

Mitsubishi i MiEV

252

251

266

1(2)

107

125

27

Smart electric drive

215

212

205

3(2)

13

 

63

Citroën C-Zero

213

167

202

45(2)

110

46

 

Kia Soul EV

193

145

20

 

 

 

 

BMW 225xe

163

 

 

 

 

 

 

Volkswagen e-Up!

154

142

118

 

 

 

 

Mercedes-Benz S500 PHEV

125

157

14

 

 

 

 

Volkswagen e-Golf

123

114

47

 

 

 

 

Chevrolet Volt

119

122

124

23(2)

67

 

 

Renault Fluence Z.E.

79

70

73

7(2)

67

 

 

Ford Focus Electric

22

19

19

 

 

 

 

Mercedes-Benz Vito E-Cell

22

23

23

 

 

 

 

Mia electric

15

15

14

 

 

 

 

Volkswagen Passat GTE

1

 

 

 

 

 

 

BYD e6

0

0

0

50(2)

 

 

 

Total registrations

66 374

47 920

21 504

3 586

2 254

1 082

138

Notes: NA: not available. Registrations figures seldom correspond to same sales figure.

(1) Registrations at the end of a period are cumulative figures. (2) CYTD through June 2013.

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!

Articles

Information

Questions

  1. 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.
  2. List all non-price factors that influence demand for plug-in electric vehicles. Briefly explain each.
  3. Should the government subsidise the development and production of electric car batteries? Explain the advantages and disadvantages of such intervention and take a position.

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?

In various blogs, we’ve looked at the UK’s low productivity growth, both relative to other countries and relative to the pre-1998 financial crisis (see, for example, The UK productivity puzzle and Productivity should we be optimistic?). Productivity is what drives long-term economic growth as it determines potential GDP. If long-term growth is seen as desirable, then a fall in productivity represents a serious economic problem.

Recent data suggest that the problem, if anything, is worse than previously thought and does not seem to be getting better. Productivity is now some 21% below what it would have been had productivity growth continued at the rate experienced in the years before the financial crisis (see second chart below).

In its latest productivity statistics, the ONS reports that labour productivity (in terms of output per hour worked) fell by 0.1% in the second quarter of 2017. This follows a fall of 0.5% in quarter 1. Over the whole year to 2017 Q2, productivity fell by 0.3%.

Most other major developed countries have much higher productivity than the UK. In 2016, Italy’s productivity was 9.9% higher than the UK’s; the USA’s was 27.9%, France’s was 28.7% and Germany’s was 34.5% higher. What is more, their productivity has grown faster (see chart).

But what of the future? The Office for Budget responsibility publishes forecasts for productivity growth, but has consistently overestimated it. After predicting several times in the past that UK productivity growth would rise towards its pre-financial crisis trend of around 2% per year, in its October 2017 Forecast evaluation Report it recognises that this was too optimisitic and revises downwards its forecasts for productivity growth for 2017 and beyond.

As the period of historically weak productivity growth lengthens, it seems less plausible to assume that potential and actual productivity growth will recover over the medium term to the extent assumed in our most recent forecasts. Over the past five years, growth in output per hour has averaged 0.2 per cent. This looks set to be a better guide to productivity growth in 2017 than our March forecast of 1.6 per cent.

Looking further ahead, it no longer seems central to assume that productivity growth will recover to the 1.8 per cent we assumed in March 2017 within five years.

But why has productivity growth not returned to pre-crisis levels? There are five possible explanations.

The first is that there has been labour hoarding. But with companies hiring more workers, this is unlikely still to be true for most employers.

The second is that very low interest rates have allowed some low-productivity companies to survive, which might otherwise have been driven out of business.

The third is a reluctance of banks to lend for investment. After the financial crisis this was driven by the need for them to repair their balance sheets. Today, it may simply be greater risk aversion than before the financial crisis, especially with the uncertainties surrounding Brexit.

The fourth is a fall in firms’ desire to invest. Although investment has recovered somewhat from the years directly following the financial crisis, it is still lower than might be expected in an economy that is no longer is recession. Indeed, there has been a much slower investment recovery than occurred after previous recessions.

The fifth is greater flexibility in the labour market, which has subdued wages and has allowed firms to respond to higher demand by taking on more relatively low-productivity workers rather than having to invest in human capital or technology.

Whatever the explanation, the solution is for more investment in both technology and in physical and human capital, whether by the private or the public sector. The question is how to stimulate such investment.

Articles

UK productivity lagging well behind G7 peers – ONS Financial Times, Katie Martin (6/10/17)
UK productivity sees further fall BBC News (6/10/17)
UK resigned to endless productivity gloom The Telegraph, Tim Wallace (10/10/17)
UK productivity estimates must be ‘significantly’ lowered, admits OBR The Guardian, Richard Partington and Phillip Inman (10/10/17)
UK productivity growth to remain sluggish, says OBR BBC News (10/10/17)
Official Treasury forecaster slashes UK productivity growth forecast, signalling hole in public finances for November Budget Independent, Ben Chu (10/10/17)
The Guardian view on Britain’s productive forces: they are not working The Guardian, Editorial (10/10/17)
Mind the productivity gap: the story behind sluggish earnings The Telegraph, Anna Isaac (26/10/17)

Data and statistical analysis

Labour productivity: April to June 2017 ONS Statistical Bulletin (6/10/17)
International comparisons of productivity ONS Dataset (6/10/17)
Forecast evaluation report OBR (October 2017)

Questions

  1. Explain the relationship between labour productivity and potential GDP.
  2. What is the relationship between actual growth in GDP and labour productivity?
  3. Why does the UK lag France and Germany more in output per hour than in output per worker, but the USA more in output per worker than in output per hour?
  4. Is there anything about the UK system of financing investment that results in lower investment than in other developed countries?
  5. Why are firms reluctant to invest?
  6. In what ways could public investment increase productivity?
  7. What measures would you recommend to encourage greater investment and why?
  8. How do expectations affect the growth in labour productivity?

The car industry has featured heavily in the news in recent weeks with the announcement of plans to ban the sale of new petrol and diesel cars in the UK from 2040. Around the same time, news broke that the European Commission had commenced an investigation into potential collusive behaviour between German car makers.

Since the investigation is ongoing, it is not yet clear exactly what the firms are accused of. However, allegations first published in German magazine Der Spiegel claim that since at least the mid 1990s Volkswagen (and subsidiaries Porsche and Audi), Daimler (owner of Mercedes-Benz) and BMW met several times a year. Furthermore, it is alleged the meetings aimed to give the firms an advantage over overseas rivals by:

co-ordinating the development of their vehicles, costs, suppliers and markets for many years, at least since the Nineties, to the present day.

In particular, Der Spiegel claims that the cartel limited the size of the tanks that manufacturers install in cars to hold chemicals that reduce diesel emissions. Smaller tanks then left more room for the car’s sound system.

Limiting the size of these tanks should be seen in the context of the 2015 emissions scandal where it became clear that Volkswagen had programmed its cars to limit the use of these chemicals and cheated in emissions tests. This meant that 11 million cars worldwide produced excess emissions. Whilst other manufacturers have suggested that the cars they produced may also produce excess emissions, Volkswagen has so far been the only firm to admit to breaking the rules so explicitly. However, if the allegations in Der Spiegel turn out to be true, there will be clear evidence that the harm caused was widespread and that illegal communication between firms played a key role in facilitating this. If found guilty, substantial fines will be imposed by the European Commission and several of the firms have already announced plans to put in place measures to reduce emissions.

It is not clear how the competition authorities discovered the cartel. However, it has been suggested that incriminating documents were uncovered during a raid of Volkswagen’s offices as part of an investigation into a separate steel cartel. It seems that Volkswagen and Daimler are now cooperating with the investigation, presumably hoping to reduce the penalties they could face. It has also been reported that Daimler’s role in the investigation will have serious implications for future cooperation with BMW, including a project to develop charging sites for electric cars. It will be extremely interesting to see what the investigation uncovers and what the future ramifications for the car industry are.

Articles

European officials probe claims of huge German car cartel CNN Money, Mark Thompson (23/7/17)
Automotive corruption: German manufacturer collusion could spell bankruptcy Shout out UK, Christopher Sharp (4/8/17)
Germany’s auto industry is built on collusion Bloomberg, Leonid Bershidsky (31/7/17)
BMW reassured top staff about cartel allegations: sources Reuters, Edward Taylor (4/8/17)

Questions

  1. What are the consequences of the coordination between German car makers likely to have been for consumers? What about for rival car manufacturers?
  2. Are there circumstances in which coordination between car makers might be beneficial for society?
  3. How do you think the German car industry will be affected by these allegations going forward?