According to the law of comparative advantage, trade can benefit all countries if they export goods which they can produce at lower opportunity costs than their trading partners. Trade enables all countries to consume beyond their production possibility frontier. What is more, trade can increase competition, which encourages firms to be more efficient.
That trade is beneficial has been generally accepted by governments around the world since the Second World War, with the General Agreement on Tariffs and Trade (GATT) and then the World Trade Organization (WTO) advocating the dismantling of trade barriers. Countries have participated in a series of trade ’rounds’, such as the Uruguay Round (1986–94) and most recently the Doha Round (2001–15). But since the financial crisis of 2008, there has been waning enthusiasm for freer trade and growing calls to protect strategic and/or vulnerable industries. To some extent this mirrors the growth in protection after the Great Depression of the early 1930s as countries sought to boost their own industries.
After some progress in the Doha round talks in Nairobi in December 2015, the talks effectively marked the end of a fourteen-year road for the round (see also). There was a failure to agree on a number of items and chances of resurrecting the talks seem slim.
The classic response to calls for protection is that it can lead to a trade war, with a net loss in global output as less efficient domestic industries are shielded from competition from lower-cost imports. Consumers lose from no longer having access to cheaper imported goods. Trade wars, it is argued, are a negative sum game. Any gains to one country are more than offset by losses elsewhere. In fact, it is likely that all countries will lose.
One argument for protection recognises the efficiency gains from free trade, but argues that current trade is distorted. For example, countries may subsidise the export of products in which they have a comparative disadvantage and dump them on the rest of the world. The WTO recognises this as a legitimate argument for tariffs, if they are used to offset the effect of the subsidies and make import prices more reflective of the cost of production.
But increasingly arguments go beyond this. Industries that are regarded as strategic to a country’s future, such as the steel industry or agriculture, are seen as warranting protection. With protection, investment may flow to such industries, making them more efficient and even gaining a comparative advantage at some point in the future.
Then there is the question of income distribution. Trade with poor countries may help to close the gap somewhat between rich and poor countries. The reason is that poor countries, with an abundance of labour, are likely to have a comparative advantage in labour-intensive products. The demand for exports of such products will help to drive up wages in such countries. However, income distribution within the rich countries may become less equal. Cheap imports from developing countries may depress the wages of unskilled or low-skilled workers in the rich countries.
Another argument concerns the devastation caused to communities by the closure of plants which are major employers. Workers made redundant may find it hard to find alternative employment, especially if their skills are specific to the plant that has closed. At least in the short term, it is argued that such industries warrant protection to allow time for alternative employers to be attracted into the area.
Arguments such as these are being used today in many countries as they struggle with slowing growth in China, a glut of global resources and overcapacity in certain industries.
The steel industry is a case in point. The announcement by Tata Steel that it intends to close the Port Talbot steel works has been met with consternation and calls for protection against subsidised Chinese steel imports. The USA already imposes tariffs of 256% on corrosion-resistant Chinese steel. The EU has proposed raising tariffs on Chinese steel to the full amount of the subsidy, but the UK has blocked this, not wishing to trigger a trade war with China. In the meantime, China has announced the imposition of a tariff of 46% on a particular type of hi-tech steel imported from the EU.
On the other side of the Atlantic, there have been growing protectionist calls from presidential front runners. Donald Trump and Ted Cruz on the Republican side, and Bernie Sanders and now Hilary Clinton on the Democratic side, are opposed to the trade agreement that President Obama has been seeking with the EU – the Transatlantic Trade and Investment Partnership (TTIP). Donald Trump has proposed imposing tariffs of 45% on all Chinese imports.
The following articles look at the growing calls for protection, especially against China, and at the arguments about what should be done to protect the UK and EU steel industry.
Articles
Defiant China slaps steel tariffs on Britain as trade war looms The Telegraph, Ambrose Evans-Pritchard (1/4/16)
China’s soaring steel exports may presage a trade war, The Economist (9/12/15)
Trade, at what price? The Economist (30/3/16)
Free trade in America: Open argument The Economist (2/4/16)
Can the British steel industry be saved? Financial Times (2/4/16)
Steel crisis: UK government plays down China tariff fears BBC News (2/4/16)
The dogmas destroying UK steel also inhibit future economic growth The Observer, WIll Hutton (3/4/16)
UK accused of leading efforts to block limits to Chinese steel dumping The Guardian, Frances Perraudin (1/4/16)
There’s always an excuse to justify suspending free trade – Tata is the latest The Telegraph, Allister Heath (1/4/16)
Can one of the world’s top economies live without making steel? Bloomberg, Thomas Biesheuvel (1/4/16)
Trade policy is no longer just for political nerds: it matters in the UK and US The Guardian, Larry Elliott (27/3/16)
Steel shrivels while Britain’s balance of payments crisis grows The Observer, WIlliam Keegan (3/4/16)
Trump’s tariff plan could boomerang, spark trade wars with China, Mexico Reuters, David Lawder and Roberta Rampton (24/3/16)
Analysis: A Trump trade war could cost the U.S. millions of jobs Daily Herald (Chicago), Jim Tankersley (3/4/16)
Questions
- What is meant by the ‘law of comparative advantage’? Does the law imply that countries will always gain from totally free trade?
- Demonstrate the gains for each of two countries which choose to trade with each other (see, for example, pages 711–3 in Economics, 9th edition).
- What is meant by ‘strategic trade theory’? How would such theory relate to the case of steel production in south Wales?
- What are the arguments for and against the EU imposing tariffs on Chinese steel imports equal to the subsidy given by the Chinese government?
- Is protectionism always a negative sum game? Explain.
- Assess the validity of various arguments for protection.
- Why did it prove impossible to complete the Doha round?
- What is meant by the ‘Transatlantic Trade and Investment Partnership (TTIP)’? Why is there so much opposition to it?
- Are bilateral trade deals, such as the TTIP, the best way of moving forward in reaping the gains from freer trade?
The latest data in the Quarterly National Accounts show that UK households in 2015 spent £1.152 trillion, the equivalent of 62 per cent of the country’s Gross Domestic Product (GDP). In real terms, household spending rose by 2.8 per cent in 2015 in excess of the 2.3 per cent growth observed in GDP. In the final quarter of 2015 real household spending rose by 0.6 per – the same rate of growth as that recorded for the UK economy. This was the tenth consecutive quarter of positive consumption growth and the twelfth of economic growth.
It is the consistent growth seen over the recent past in real household spending that marks it out from the other components of aggregate demand. Consequently, household spending remains the bedrock of UK growth.
Chart 1 helps to evidence the close relationship between consumption and economic growth. It picks out nicely the stark turnaround both in economic growth and consumer spending following the financial crisis. Over the period from 2008 Q1 to 2011 Q2, real consumer spending typically fell by 0.4 per cent each quarter. This weakness in consumption was mirrored by economic growth. Real GDP contracted over this period by an average of 0.2 per cent each quarter. (Click here to download a PowerPoint of the chart.)
Since 2011 Q3 real consumption growth has averaged 0.6 per cent per quarter – the rate at which consumption grew in 2015 Q4 – while, real GDP growth has averaged 0.5 per cent per quarter. Over this same period the real disposable income (post-tax income) of the combined household and NPISH (non-profit institutions serving households), has typically grown by 0.4 per cent per quarter. (NPISHs are charities and voluntary organisations.)
The strength of consumption relative to income is evidenced by the decline in the saving ratio as can be observed in Chart 2. The ratio captures the percentage of disposable income that households (and NPISHs) choose to save. In 2010 Q3 the proportion of income saved hit 11.9 per cent having been as low as 4.5 per cent in 2008 Q1. By 2015 Q4 the saving ratio had fallen to 3.8 per cent, the lowest value since the series began in 1963 Q1. (Click here to download a PowerPoint.)
The historic low in the saving ratio in the final quarter of 2015 reflects the strength of consumption alongside a sharp fall in real disposable income of 0.6 per cent in the quarter. However, the bigger picture shows a marked downward trend in the saving ratio over the period from 2012.
When seen in a more historic context the latest numbers taken on even greater significance. Chart 3 shows the annual saving ratio since 1963. From it we can see that the 2015 value of 4.2 was the first year when the ratio fell below 5 per cent. With 2014 being the previous historic low, there must be some concern that UK consumption growth is not being underpinned by income growth. (Click here to download a PowerPoint.)
Of course, consumption theory places great emphasis on expected future income in determining current spending. To some extent it may be argued that households were liquidity-constrained following the financial crisis. They were unable to borrow to support spending and, as time moved on, to borrow against the expectation of stronger income growth in the future. This would have depressed consumption growth. But, there may also have been a self-imposed liquidity constraint as the financial crisis unfolded. Heightened uncertainty may have led households to be more prudent and divert resources to saving. Such precautionary saving would tend to boost the saving ratio and so may be a factor in the sharp rise we observed in the ratio.
The easing of credit constraints as we headed through the early 2010s allied with stronger economic growth may help to explain the strength of the recovery in consumption growth. However, it is the extent and, in particular, the duration of this strong consumption growth that is fuelling a debate over its sustainability. The current uncertainty around future income growth and the need for households to be mindful of the indebtedness built up prior to the financial crisis point to households needing to retain a degree of caution. Consequently, the debates around the financial well-being of households and the need to rebalance the UK economy away from consumer spending are likely to be further intensified by the latest consumption and saving data.
Data
All data related to Quarterly National Accounts: Quarter 4 (Oct to Dec) 2015 Office for National Statistics
Office for National Statistics Office for National Statistics
Articles
Britons raid savings to fund spending as economists warn recovery ‘built on sand’ Telegraph, Szu Ping Chan (31/3/16)
UK Growth Higher But Deficit Hits New Record Sky News, (31/3/16)
Britain is a nation that has forgotten how to save Telegraph, Jeremy Warner (31/3/16)
A vulnerable economy: the true cost of Britain’s current account deficit Guardian, Larry Elliott (31/3/16)
U.K. Manufacturing ‘In the Doldrums’ Leaves Growth Lopsided Bloomberg, Emma Charlton (1/4/16)
Pound drops as UK manufacturing languishes in the doldrums Telegraph, Szu Ping Chan (1/4/16)
Questions
- Why is the distinction between nominal and real growth an important one when looking at many macroeconomic variables.
- Examine the argument that the historic low saving ratio in the UK is a cause for concern.
- What factors might we expect to impact on the saving ratio?
- To what extent do you think the current growth in consumer spending is sustainable?
- How important are expectations in determining consumer behaviour?
- Explain what you understand by consumption smoothing.
- Why would we would typically expect consumption growth to be less variable than that in disposable income?
- Why might consumption sometimes be observed to be less sensitive or more sensitive to income changes?
- What factors might cause households to be liquidity constrained?
- What is precautionary saving? What might affect its perceived importance among households?
As John reminds us in his blog A seven year emergency we have now seen the official Bank Rate at 0.5 per cent for the past seven years. Understandably many attribute the financial crisis that led to the easing of monetary policy to the lending practices of commercial banks. Consequently, it is important that we better understand (and monitor) banks’ behaviour. Some argue that these practices are affected by the macroeconomic environment, with credit conditions varying across the business cycle. We consider here what recent patterns in interest rates might tell us about credit conditions.
One way in the macroeconomic environment might affect commercial banks’ lending practices is through the difference between banks’ lending rates and the official Bank Rate. We can think of such interest rate differentials – or spreads – as a credit premium. In other words, the greater are commercial borrowing rates relative to the Bank Rate, the greater the credit premium being demanded by banks. On the other hand, the lower the interest rate on borrowing relative to the Bank Rate, the smaller the credit premium.
Some economists argue that interest-rate differentials will fall when the economy is doing well and increase when the economy is doing less well. This is because the probability of default by borrowers is seen as smaller when the macroeconomic environment improves. If this is the case, it will tend to amplify the business cycle, since economic shocks will have larger affects on economic activity.
Consider a positive demand-side shock, such as a rise in consumer confidence, which lowers the propensity of households to save. As the positive shock causes the economy’s aggregate demand to rise, the economy grows. This growth in economic activity might result in lower borrowing rates offered by commercial banks relative to the official Bank Rate. Since savings rates tend to be close to the official Bank Rate, this also means that the cost of borrowing falls relative to the interest rates on savings. This financial effect further stimulates the demand for credit and, as a consequence, aggregate demand and economic activity. It is an example of what economists called the financial accelerator.
Similarly, the financial accelerator means that negative shocks depress economic activity by more than would otherwise be the case. A fall in consumer confidence, for example, would cause economic activity to fall as aggregate demand weakens. This, in turn, causes banks to raise borrowing rates relative to the Bank Rate and savings rates. This further dampens economic activity.
The chart shows the Bank Rate along with the average unsecured borrowing rate on loans by Monetary Financial Institutions (MFIs) of £10 000. (Secured borrowing is that which is secured against property.) We use this borrowing rate to capture general trends in commercial borrowing rates.
As expected, we can see that the borrowing rate is greater than the Bank Rate. In other words, there is a positive interest-rate differential. However, this differential is seen to vary. It falls sharply in the period up to the financial crisis. In early 2002 it was running at 8 percentage points. By summer 2007 the differential had fallen to only 1.7 percentage points. (Click here to download a PowerPoint of the chart.)
The period from 2002 to 2007 was characterised by consistently robust growth. The UK economy grew over this period by about 2.7 per cent per annum. This would certainly fit with the story that economic growth may have contributed to an easing of credit conditions which, in turn, helped to induce growth. Regardless, the falling interest-rate differential points to credit conditions easing.
The story from 2008 changes very quickly as the interest-rate differential increases very sharply. In 2009, as the official Bank Rate was cut to 0.5 per cent, the unsecured borrowing rate climbed to close to 10.5 per cent. Consequently, the interest-rate differential rose to 10 percentage points. Inter-bank lending had dried up with banks concerned that banks would default on loans. The increase in interest rates on lending to the non-bank private sector was stark and evidence of a credit market disruption.
The interest-rate differential has steadily declined since its peak at the end of 2009 as the unsecured borrowing rate has fallen. Hence credit conditions have eased. In fact, in February 2016 our indicative interest rate differential stood at 3.8 percentage points, unchanged from its level in January. This is its lowest level since July 2008. Furthermore, today’s differential is lower than the 6.5 percentage point average over the period from 1997 to 2003, before the differential then went on its pre-crisis fall.
Given concerns about the impact of credit cycles on the macroeconomy we can expect the authorities to keep a very keen eye on credit conditions in the months ahead.
Articles
Bank holds UK interest rates at 0.5% BBC News (17/3/16)
UK’s record low interest rates to continue in 2016 The Guardian, Katie Allen (3/3/16)
Big rise in consumer credit in January BBC News, Brian Milligan (29/2/16)
Household debt binge has no end in sight, says OBR The Telegraph, Szu Ping Chan (17/3/16)
Data
Bankstats (Monetary and Financial Statistics) – Latest Tables Bank of England
Statistical Interactive Database – interest and exchange rates data Bank of England
Questions
- Why would we expect banks’ borrowing rates to be higher than the official Bank Rate?
- What factors might lead to a change in the interest-rate differential between banks’ borrowing rates and the official Bank Rate?
- How would we expect a credit market disruption to affect the interest-rate differential?
- Explain how the financial accelerator affects the change in the size of the economy following a positive demand shock.
- Explain how the financial accelerator affects the change in the size of the economy following a negative demand shock.
- What is the impact of the financial accelerator of the amplitude of the business cycle?
- How might banks’ credit criteria change as the macroeconomic environment changes?
- How might regulators intervene to minimise the effect of the financial accelerator?
When people think about healthcare in the UK they tend to associate it with the NHS. However, there is a £5 billion private healthcare market. Concerns have been expressed about the lack of effective competition in this sector and it has been investigated by the competition authorities over a 5-year period.
Approximately 4 million people in the UK have a private medical insurance policy. The majority of these are paid for by employers, although some people pay directly. Four companies dominate the health insurance market (AXA PPP, Bupa, Pru Health and Aviva) with a combined market share of over 90%.
Health insurance companies purchase healthcare services for their policy holders from private hospitals. The majority of private hospitals in the UK are owned by the following businesses – BMI, HCA, Nuffield, Ramsey and Spire. Some concerns have been expressed about the lack of competition between private hospitals in some areas of the country.
After its initial analysis into the sector, the Office of Fair Trading (OFT) referred the case to the Competition Commission (CC) in April 2012 to carry out a full market investigation. This process was then taken over by the Competition and Markets Authority (CMA) when it replaced the OFT and CC. The final report was published on April 2nd 2014.
One specific region that was identified in this report as having a lack of effective competition was central London for patients with health insurance. In particular it was concluded that:
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The market in central London was heavily concentrated and HCA had a dominant market position – its aggregated share of admissions across 16 specialities (e.g. Oncology, Cardiology, Neurology, Dermatology etc.) was 45% to 55%. |
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There were significant barriers to entry including substantial sunk costs. A particular issue for a new entrant or existing business was the problem of securing suitable sites in central London to build new hospitals and in obtaining planning permission. It was pointed out in the report that the market structure in central London had changed very little in the previous 10 years despite a rapidly growing demand for private healthcare. |
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HCA was charging insured patients higher prices for similar treatments than its leading rival – The London Clinic. HCA was also found to be making returns that were in excess of the cost of capital. |
One of the key recommendations of the report was that HCA should be forced to sell–off one or two of the hospitals that it owned in central London to increase the level of competition.
Unsurprisingly HCA was very unhappy with the decision and applied to the Competition Appeal Tribunal (CAT) for a review of the case. During this review, economists working for HCA found errors with the analysis carried out by the CMA into the pricing of health services for insured customers.
In January 2015 the CAT concluded that the findings and recommendations of the report on insured patients in central London should be overturned and the CMA should reconsider the case. In November 2015 the CMA announced that having reviewed the case it had come to a similar set of conclusions: i.e. there was a lack of effective competition and HCA should be forced to sell off two of its hospitals in London.
HCA still claimed that the pricing analysis was incorrect because it did not fully take into account that HCA treated patients with more complex conditions than TLC and that was why their prices were higher.
On March 22nd 2016 the CMA announced that it had reversed its ruling and HCA would no longer be expected to sell off any of its hospitals. The reason given for this change in recommendation was the appearance of new entrants into the market. For example, Cleveland Clinic a US-based private healthcare provider has purchased a long-term lease on a property in Belgravia, central London. It plans to convert the office space into a private hospital with 2015 beds.
A spokesperson for Bupa commented that:
“The CMA has confirmed again that there isn’t enough competition in central London, with HCA dominating the private hospital market and charging higher prices. We ask the CMA to act now to address this gap.”
It will be interesting to see the impact these new entrants have on the market in the future.
Articles
London develops as a global healthcare hub Financial Times Gill Plimmer (31/01/16)
Competition watchdog reverses ruling on private hospitals Financial Times Gill Plimmer, (22/03/16)
CMA’s private healthcare provisional decision on remedies CMA 22/03/16
Competition problems provisionally found in private healthcare CMA 10/11/15
CMA welcomes Court of Appeal verdict in private healthcare case CMA 21/05/15
Questions
- Define sunk costs using some real-world examples.
- Why might the existence of sunk costs create a barrier to entry?
- Draw a diagram to illustrate why a profit-maximising business with significant market power might charge higher prices than one in a very competitive environment.
- What is the cost of capital? Explain why returns that are greater than the cost of capital might be evidence that a firm is making excessive profits.
- Draw a diagram to illustrate the impact of new entrants in a market.
A number of famous Business Schools in the UK and US such as MIT Sloan, NYU Stern and Imperial College have launched new programmes in business analytics. These courses have been nicknamed ‘Big Data finishing school’. Why might qualifications in this area be highly valued by firms?
Employees who have the skills to collect and process Big Data might help firms to successfully implement a pricing strategy that approaches first-degree price discrimination.
First-degree price discrimination is where the seller of a product is able to charge each consumer the maximum price he or she is prepared to pay for each unit of the product. Successfully implementing this type of pricing strategy could enable a firm to make more revenue. It might also lead to an increase in economic efficiency. However, the strategy might be opposed on equity grounds.
In reality, perfect price discrimination is more of a theoretical benchmark than a viable pricing strategy. Discovering the maximum amount each of its customers is willing to pay is an impossible task for a firm.
It may be possible for some sellers to implement a person-specific pricing strategy that approaches first-degree price discrimination. Firms may not be able to charge each customer the maximum amount they are willing to pay but they may be able to charge different prices that reflect customers’ different valuations of the product.
How could a firm go about predicting how much each of its customers is willing to pay? Traditionally smaller sellers might try to ‘size up’ a customer through individual observation and negotiation. The clothes people wear, the cars they drive and their ethnicity/nationality might indicate something about their income. Second-hand car dealers and stall-holders often haggle with customers in an attempt to personalise pricing. The starting point of these negotiations will often be influenced by the visual observations made by the seller.
The problem with this approach is that observation and negotiation is a time-consuming process. The extra costs involved might be greater than the extra revenue generated. This might be especially true for firms that sell a large volume of products. Just imagine how long it would take to shop at a supermarket if each customer had to haggle with a member of staff over each item in their supermarket trolley!! There is also the problem of designing compensation contracts for sales staff that provide appropriate incentives.
However the rise of e-commerce may lead to a very different trading environment. Whenever people use their smart phones, laptops and tablets to purchase goods, they are providing huge amounts of information (perhaps unconsciously) to the seller. This is known as Big Data. If this information can be effectively collected and processed then it could be used by the seller to predict different customers’ willingness to pay.
Some of this Big Data provides information similar to that observed by sellers in traditional off-line transactions. However, instead of visual clues observed by a salesperson, the firm is able to collect and process far greater quantities of information from the devices that people use.
For example, the Internet Protocol (IP) address could be used to identify the geographical location of the customer: i.e. do they live in a relatively affluent or socially deprived area? The operating system and browser might also indicate something about a buyer’s income and willingness to pay. The travel website, Orbitz, found that Apple users were 40 per cent more likely to book four or five star hotel rooms than customers who used Windows.
Perhaps the most controversial element to Big Data is the large amount of individual-level information that exists about the behaviour of customers. In particular, browsing histories can be used to find out (a) what types of goods people have viewed (b) how long they typically spend on-line and (c) their previous purchase history. This behavioural information might accurately predict price sensitivity and was never available in off-line transactions.
Interestingly, there has been very little evidence to date that firms are implementing personalised pricing on the internet. One possible explanation is that effective techniques to process the mass of available information have not been fully developed. This would help to explain the growth in business analytics courses offered by universities. PricewaterhouseCoopers recently announced its aim to recruit one thousand more data scientists over the next two years.
Another possible explanation is that firms fear a backlash from customers who are deeply opposed to this type of pricing. In a widely cited survey of consumers, 91% of the respondents believed that first-degree price discrimination was unfair.
Articles
Big data is coming for your purchase history – to charge you more money The Guardian, Anna Bernasek and DT Mongan (29/5/15)
Big data is an economic justice issue, not just a Privacy Problem The Huffington Post, Nathan Newman (16/5/15)
MIT’s $75,000 Big Data finishing school (and its many rivals) Financial Times, Adam Jones (20/3/16)
The Government’s consumer data watchdog New York Times, Natasha Singer (23/5/2015)
The economics of big data and differential pricing The Whitehouse blog, Jason Furman, Tim Simcoe (6/2/2015)
Questions
- Explain the difference between first- and third-degree price discrimination.
- Using an appropriate diagram, explain why perfect price discrimination might result in an economically more efficient outcome than uniform pricing.
- Draw a diagram to illustrate how a policy of first-degree price discrimination could lead to greater revenue but lower profits for a firm.
- Why would it be so difficult for a firm to discover the maximum amount each of its customers was willing to pay?
- Explain how the large amount of information on the individual behaviour of customers (so-called Big Data) could be used to predict differences in their willingness to pay.
- What factors might prevent a firm from successfully implementing a policy of personalised pricing?
According to the law of comparative advantage, trade can benefit all countries if they export goods which they can produce at lower opportunity costs than their trading partners. Trade enables all countries to consume beyond their production possibility frontier. What is more, trade can increase competition, which encourages firms to be more efficient.
The classic response to calls for protection is that it can lead to a trade war, with a net loss in global output as less efficient domestic industries are shielded from competition from lower-cost imports. Consumers lose from no longer having access to cheaper imported goods. Trade wars, it is argued, are a negative sum game. Any gains to one country are more than offset by losses elsewhere. In fact, it is likely that all countries will lose.
The steel industry is a case in point. The announcement by Tata Steel that it intends to close the Port Talbot steel works has been met with consternation and calls for protection against subsidised Chinese steel imports. The USA already imposes tariffs of 256% on corrosion-resistant Chinese steel. The EU has proposed raising tariffs on Chinese steel to the full amount of the subsidy, but the UK has blocked this, not wishing to trigger a trade war with China. In the meantime, China has announced the imposition of a tariff of 46% on a particular type of hi-tech steel imported from the EU.
