Category: Economics: Ch 01

Here’s a quiz for you. What one chart would you chose as an illustration of the most significant economic event(s), trends or data of the year? You could search out a chart, perhaps by looking through the news items on this site. Or you could construct a chart of you own in Excel or PowerPoint using economic data from a data site. You can find links to a whole range of data sites here.

To give you some ideas, the link to the BBC site below gives the charts selected by a range of eminent economists.

Top economists reveal their graphs of 2011 BBC News (13/12/11)

Questions

  1. Look through each of the 11 charts in the link above and explain their significance.
  2. Why did you choose the chart you did?
  3. Name five other economic events or trends during 2011 that you would consider to be highly significant and say why.
  4. Identify three likely economic events in 2012 that would, if they came true, prove significant and say why? Just how likely are they?

The following podcast from the BBC Radio 4’s series, A Point of View is by John Gray, emeritus professor of European thought at the LSE and author of False Dawn: The Delusions of Global Capitalism. In the podcast, he considers whether Marx, the great 19th century thinker, was right to predict the demise of capitalism.

Marx’s picture of the end of capitalism and the stages of society that would succeed it have been dismissed by most academics and commentators as quite false. Marx predicted that as capitalist economies became increasingly unstable and unequal, so workers would rise up in revolution. What would follow would be a socialist state in which the means of production would be collectively owned and output and distribution would be planned. As socialist economies became wealthier and life was perceived to be fairer, so the need for state control would diminish. Eventually the state would wither away and the ultimate stage of communism would be reached, where there would sufficient resources to reward everyone according to their needs.

Two of the key criticisms of Marx’s analysis are: (a) capitalism was overthrown in only a few countries and (b) in the countries that did adopt central planning, such as the Soviet Union and Eastern European countries, the state did not wither away; instead, they reverted to capitalism.

But whilst Marx’s analysis of a post-capitalist world may have been flawed, his analysis of the weaknesses and tensions of capitalism have been prophetically correct in many regards. As John Gray says:

It’s not just capitalism’s endemic instability that he understood, though in this regard he was far more perceptive than most economists in his day and ours.

More profoundly, Marx understood how capitalism destroys its own social base – the middle-class way of life. The Marxist terminology of bourgeois and proletarian has an archaic ring.

But when he argued that capitalism would plunge the middle classes into something like the precarious existence of the hard-pressed workers of his time, Marx anticipated a change in the way we live that we’re only now struggling to cope with.

Listen to the podcast and try to assess whether we are witnessing a 21st century version of Marx’s 19th century vision.

A Point of View: The revolution of capitalism (article) BBC Radio 4, John Gray (4/9/11)
A Point of View: The revolution of capitalism (podcast) BBC Radio 4, John Gray (4/9/11) (see alternatively)
Has Western capitalism failed? BBC News (23/9/11)

Questions

  1. Why, according to Marx, do capitalist societies contain the seeds of their own destruction? What role would the middle classes play in this?
  2. Why does capitalism transform everything it touches?
  3. Explain what is meant by ‘creative destruction’.
  4. How would Marxists respond to the criticisms of their analysis that the middle classes have got proportionately bigger and that, with the advent of the minimum wage, even the poorest workers are protected?
  5. To what extent has the experience of the developed world since the banking crisis of 2007/8 lent weight to the Marxist analysis?
  6. John Gray says that “Today there is no haven of security.” What does he mean by this and is there an answer within capitalism?
  7. And here’s a hard question to finish with: if capitalism does contain the seeds of its own destruction, what will succeed it? Will it be something other than capitalism and, if so, what? Or will it be a new variety of capitalism and, if so, what will it look like?

Economic assessment of real-world issues relies heavily on data. It is the same with economic policy recommendations. Both public- and private-sector organisations gather data, which are then used for analysis, often presented in a report. These reports are then often used as the basis for policy, whether by the government, local authorities or the private sector. Sometimes the data are those collected by national statistical agencies, such as the Office for National Statistics (ONS) in the UK; sometimes they are collected by private agencies; sometimes by individual researchers.

Clearly the analysis and the suitability of any policy recommendations depend on the quality of the data. But how much can we rely on the data? A problem is that people have an interest in gathering and/or selecting data that support their opinions. As a result, the data used for analysis and policy recommendations may be unreliable and incomplete.

This is not to say that the data collected by reputable agencies such as the ONS are wrong. Rather, it is the selective use of them that can be highly misleading. Sometimes, however, the data that some agencies produce may indeed be unreliable, with too small or unrepresentative samples. If they rely on surveys, the survey questions may be poorly framed or lead the respondent into giving a particular answer.

Newspapers make use of data and reports all the time to make a particular case – a case in line with the newspaper’s political stance. The lesson for economic students is that we need to be alert all the time as to just how reliable data are; and to whether the conclusions drawn from them are correct.

The following two articles by Ben Goldacre, from the Guardian’s Bad Science series, look at the misuse of data. The first looks at the case of the Health Service; the second at the possibility of savings by local government in their procurement activities.

Articles
How far should we trust health reporting? Guardian, Ben Goldacre (17/6/11)
Misleading money-saving claims help no one Guardian, Ben Goldacre (24/6/11)

Report
Realising Savings through Procurement Optimisation Opera Solutions

Questions

  1. According to the first article above, how much newspaper reporting based on the use of data is unreliable?
  2. What are the reasons for the unreliability of newspaper reporting?
  3. For what reasons might the ONS and other reputable agencies periodically have to amend time series data?
  4. “Council incompetence ‘costs every household £452 a year'”. Critically examine this claim by the Daily Mail.
  5. Why may Opera Solutions be seen as not wholly independent in reporting the possibilities of cost savings by local government?
  6. In the absence of reliable data, can any economic policy conclusions be drawn from economic models? Explain.

Economics studies the choices people make. ‘Rational choice’ involves the weighing up of costs and benefits and trying to maximise the surplus of benefits over costs. This surplus will be maximised when people do more of things where the marginal benefit exceeds the marginal cost and less of things where the marginal cost exceeds the marginal benefit. But, of course, measuring benefits and costs is not always easy. Nevertheless, for much of the time we do make conscious choices where we consider that choosing to do something is ‘worth it’: i.e. that the benefit to us exceeds the cost.

When we make a choice, often this involves expenditure. For example, when we choose to buy an item in a shop, we spend money on the item, and also, perhaps, spend money on transport to get us to the shop. But the full opportunity cost includes not only the money we spend, but also the best alternative activity sacrificed while we are out shopping.

Then there are the benefits. Not all pleasurable activity costs us money. The sight of beautiful contryside or the pleasure of the company of friends may cost us very little, if anything, in money terms. But they may still be very valuable to us.

If we are to make optimal decisions we need to have some estimate of all costs and benefits, not just ones involving the payment or receipt of money. This applies both to individual behaviour and to collective decisions made by governments or other agencies.

Cost–benefit analysis seeks to do this to help decisions about new projects, such as a new road, a new hospital, environmental projects, and so on. But just how do we set about putting a value on the environment – on the pleasure of a walk in bluebell woods, on protecting bird life in wetlands or sustaining ecosystems?

For the first time there has been a major study that attempts to value the environment. According to the introduction to the report:

The UK National Ecosystem Assessment (UK NEA) is the first analysis of the UK’s natural environment in terms of the benefits it provides to society and the nation’s continuing prosperity. Carried out between mid-2009 and mid-2011, the UK NEA has been a wide-ranging, multi-stakeholder, cross-disciplinary process, designed to provide a comprehensive picture of past, present and possible future trends in ecosystem services and their values; it is underpinned by the best available evidence and the most up-to-date conceptual thinking and analytical tools. The UK NEA is innovative in scale, scope and methodology, and has involved more than 500 natural scientists, economists, social scientists and other stakeholders from government, academic and private sector institutions, and non-governmental organisations (NGOs).

The following podcast and webcast look at the report and at some of the issues it raises in terms of quantifying and incorporating environmental costs and benefits into decision taking.

Podcast and Webcast
‘The hidden value’ of our green spaces BBC Today Programme, Tom Feilden (2/6/11)
Report puts monetary value on Britain’s natural assets BBC News, Jeremy Cooke (2/6/11)

Articles

NEA report highlights need for biodiversity Farmers Guardian, Ben Briggs (2/6/11)
Nature is worth £19bn a year to the UK economy – report Energy & Environmental Management Magazine (2/6/11)
In praise of… the unquantifiable Guardian (3/6/11)
Priceless benefits of bluebell woods Guardian letters, Dr Bhaskar Vira and Professor Roy Haines-Young (4/6/11)
Nature ‘is worth billions’ to UK BBC News, Richard Black (2/6/11)
Putting a price on nature BBC News, Tom Feilden (2/6/11)
Value of Britain’s trees and waterways calculated in ‘ground-breaking’ study The Telegraph, Andy Bloxham (2/6/11)
Nature worth billions, says environment audit Financial Times, Clive Cookson (2/6/11)
Nature gives UK free services worth billions Planet Earth, Tom Marshall (3/6/11)
UK scientists put price on nature with National Ecosystem Assessment GreenWise, Ann Elise Taylor (2/6/11)

Report

UK National Ecosystem Assessment: link to report DEFRA
UK National Ecosystem Assessment (June 2011)
The UK National Ecosystem Assessment: Synthesis of the Key Findings

Questions

  1. How would you set about valuing the benefits of woodlands?
  2. According to the report, the health benefits of living close to a green space are worth up to £300 per person per year. How much credance sould we attach to such a figure?
  3. What do you understand by the ‘ecosystem approach’ and the term ‘ecosystem services’?
  4. Explain Figure 2 on page 3 of Chapter 2 of the report.
  5. Should decision makers quantify only those benefits of ecosystems experienced by humans? Would all environmentalists agree with this approach?
  6. What are the advantages and disadvantages of quantifying all costs and benefits in money terms?
  7. Compare the consequences over the next 50 years of a ‘world markets’ scenarios with that of a ‘nature at work’ scenario.
  8. What policy implications follow from the report?

Inequality is growing in most countries. This can be illustrated by examining what has been happening to countries’ Gini coefficient. The Gini coefficient measures income inequality, where 0.00 represents perfect equality, with everyone in the country earning the same, and 1.00 represent perfect inequality, with one person earning all the country’s income. (Note that sometimes it is expressed as the ‘Gini index’, with 100 representing perfect inequality). In virtually all countries, the Gini coefficient has been rising. In the OECD countries it has risen by an average of 0.3% per annum over the past 25 years. The OECD average is now 0.31.

But despite the fact that the Gini coefficient has been rising, its value differs markedly from one country to another, as does its rate of change. For example, Finland’s Gini coefficient, at 0.26, is below the average, but it has been rising by 1.2% per annum. By contrast, Turkey’s Gini coefficient, at 0.41, is above the average and yet has been falling by 0.3% per annum.

The most unequal of the developed countries is the USA. According to OECD data, its Gini coefficient is 0.38, well above the values in the UK (0.34), Japan (0.33), Germany (0.30) France (0.29) and Denmark (0.26). What is more, inequality in the USA has been increasing by an average of 0.5% per annum since the mid 1980s.

According to the United Nations’ Human Development Report 2010, the USA’s Gini coefficient is even higher, at 0.41 (see Table 3 of the report). But this is still below that of Russia, with a figure of 0.44, a figure that has markedly worsened over time, along with those of other former Soviet countries. According to the report (page 72):

The worsening is especially marked in countries that were part of the former Soviet Union – which still have relatively low Gini coefficients because they started with low inequality. Transition has eroded employment guarantees and ended extensive state employment. Before the fall of the Berlin Wall, 9 of 10 people in socialist countries were employed by the state, compared with 2 of 10 in Organisation for Economic Co-operation and Development economies. While the privileged elite (the nomenklatura) often attained higher material well-being, the measured differences in income were narrow.

The Gini coefficient for Russia is the same as the average of the 39 developing countries with the lowest level of human development &nbash; and developing countries are generally much less equal than developed ones. Of course, some developing countries have an even higher Gini coefficient: for Angola the figure is 0.59; for Haiti it is 0.60.

The following three webcasts look at aspects of the growing inequality in Russia.

Webcasts

Gap between rich and poor widens in Russia BBC News, Jamie Robertson (29/5/11)
Corruption slows Russian modernisation BBC News, Emma Simpson (29/5/11)
Corruption and poverty in Russia’s far east Al Jazeera (28/2/11)

Articles

Russia’s rich double their wealth, but poor were better off in 1990s Guardian, Tom Parfitt (11/4/11)
Russia’s growing wealth gap BBC News, Jamie Robertson (28/5/11)
A Country of Beggars and Choosers Russia Profile, Svetlana Kononova (16/5/11)
Rich and poor, growing apart The Economist (3/5/11)

Data

Distribution of family income – Gini Index CIA World Factbook (ranked by country in desending order)
Society at a Glance 2011 – OECD Social Indicators OECD: see particularly the Excel file 6. Equity Indicators: Income inequality (click on No if prompted about a linked workbook)
Russia Distribution of family income – Gini index Index Mundi
Chart of the week: inflation stoking inequality in China and India Financial Times, Andrew Whiffin (24/5/11)
List of countries by income equality Wikipedia

Reports

Growing Income Inequality in OECD Countries: What Drives it and How Can Policy Tackle it? OECD Forum on Tackling Inequality (2/5/11)
Human Development Report 2010 United Nations Development Programme

Questions

  1. Explain what is meant by the Gini coefficient. How does it relate to the Lorenz curve? What does a figure of 0.31 mean?
  2. Why has income inequality been growing in most countries of the world? Has the process of globalisation dampened or exacerbated this trend?
  3. What specific factors in Russia can explain the growing inequality?
  4. How is privatisation likely to affect income distribution??
  5. Why is it difficult to quantify the extent of inequality in Russia?
  6. What maxim of taxation has been used in setting income tax rates in Russia?
  7. What role does corruption play in determining the degree of inequality in Russia?
  8. What policy measures, if any, could realistically be adopted in Russia to reduce inequality? What constraints are there on adopting such policies?