Firms are increasingly having to take into account the interests of a wide range of stakeholders, such as consumers, workers, the local community and society in general (see the blog, Evolving Economics). However, with many firms, the key stakeholders that influence decisions are shareholders. And because many shareholders are footloose and not committed to any one company, their main interests are short-term profit and share value. This leads to under-investment and too little innovation. It has also led to excessive pay for senior executives, which for many years has grown substantially faster than the pay of their employees. Indeed, executive pay in the UK is now, per pound of turnover, the highest in the world.
So is there an alternative model of capitalism, which better serves the interests of a wider range of stakeholders? One model is that of employee ownership. Perhaps the most famous example of this is the John Lewis Partnership, which owns both the department stores and the Waitrose chain of supermarkets. As the partnership’s site claims, ‘when you’re part of it, you put your heart into it’. Although the John Lewis Partnership is the largest in the UK, there are over 330 employee-owned businesses across the UK, with over 200 000 employee owners contributing some £30bn per year to UK GDP. Again, to quote the John Lewis site:
Businesses range from manufacturers, to community health services, to insurance brokers. Together they deliver 4% of UK GDP annually, with this contribution growing. They are united by an ethos that puts people first, involving the workforce in key decision-making and realising the potential and commitment of their employees.
A recent example of a company moving, at least partly, in this direction is BT, which has announced that that every one of its 100 000 employees will get shares worth £500 every year. Employees will need to hold their shares for at least three years before they can sell them. The aim is to motivate staff and help the company achieve a turnaround from its recent lacklustre performance, which had resulted in its laying off 13 000 of its 100 000-strong workforce.
Another recent example of a company adopting employee ownership is Richer Sounds, the retail TV and hi-fi chain. Its owner and founder, Julian Richer, announced that he had transferred 60% of his shares into a John Lewis-style trust for the chain’s 531 employees. In addition to owning 60% of the company, employees will receive £1000 for every year they have worked for the retailer. A new advisory council, made up of current staff, will advise the management board, which is taking over the running of the firm from Richer.
According to the Employee Ownership Association (EOA), a further 50 businesses are preparing to follow suit and adopt forms of employee ownership. As The Conversation article linked below states:
As a form of stakeholder capitalism, the evidence shows that employee ownership boosts employee commitment and motivation, which leads to greater innovation and productivity.
Indeed, a study of employee ownership models in the US published in April found it narrowed gender and racial wealth gaps. Surveying 200 employees from 21 companies with employee ownership plans, Joseph Blasi and his colleagues at Rutgers University found employees had significantly more wealth than the average US worker.
The researchers also found that the participatory management practices that accompanied the employee ownership schemes led to employees improving their communication skills and learning management skills, which had helped them make better financial decisions at home.
But, although employee ownership brings benefits, not only to the employees themselves, but also more widely to society, there is no simple mechanism for achieving it when shareholders are unlikely to want to relinquish their shares. Employee buyout schemes require funding; and banks are often cautious about providing such funding. What is more, there needs to be an employee trust overseeing the running of the company which takes a long-term perspective and not just that of current employees, who might otherwise be tempted to sell the company to another seeking to take it over.
Articles
Report
Questions
- What are the main benefits of employee ownership?
- Are there any disadvantages of employee ownership and, if so, what are they?
- What are the main barriers to the adoption of employee ownership?
- What are the main recommendations from The Ownership Effect Inquiry? (See linked report above.)
- What are the findings of the responses to the employee share ownership questions in the US General Social Survey (GSS)? (See linked Global Banking & Finance Review article above.)
The linked article below, by Evan Davis, assesses the state of economics. He argues that economics has had some major successes over the years in providing a framework for understanding how economies function and how to increase incomes and well-being more generally.
Over the last few decades, economists have …had an influence over every aspect of our lives. …And during this era in which economists have reigned, the world has notched up some marked successes. The reduction in the proportion of human beings living in abject poverty over the last thirty years has been extraordinary.
With the development of concepts such as opportunity cost, the prisoners’ dilemma, comparative advantage and the paradox of thrift, economics has helped to shape the way policymakers perceive economic issues and policies.
These concepts are ‘threshold concepts’. Understanding and being able to relate and apply these core economic concepts helps you to ‘think like an economist’ and to relate the different parts of the subject to each other. Both Economics (10th edition) and Essentials of Economics (8th edition) examine 15 of these threshold concepts. Each time a threshold concept is used in the text, a ‘TC’ icon appears in the margin with the appropriate number. By locating them in this way, you can see their use in a variety of contexts.
But despite the insights provided by traditional economics into the various problems that society faces, the discipline of economics has faced criticism, especially since the financial crisis, which most economists did not foresee.
Even Davis identifies two major shortcomings of the discipline – both beginning with ‘C’. ‘One is complexity, the other is community.’
In terms of complexity, the criticism is that economic models are often based on simplistic assumptions, such as ‘rational maximising behaviour’. This might make it easier to express the models mathematically, but mathematical elegance does not necessarily translate into predictive accuracy. Such models do not capture the ‘messiness’ of the real world.
These models have a certain theoretical elegance but there is now an increasing sense that economies do not evolve along a well-defined mathematical path, but in a far more messy way. The individual players within the economy face radical uncertainty; they adapt and learn as they go; they watch what everybody else does. The economy stumbles along in a process of slow discovery, full of feedback loops.
As far as ‘community’ is concerned, people do not just act as self-interested individuals. Their actions are often governed by how other people behave and also by how their own actions will affect other people, such as family, friends, colleagues or society more generally.
And the same applies to firms. They will be influenced by various other firms, such as competitors, trend setters and suppliers and also by a range of stakeholders – not just shareholders, but also workers, customers, local communities, etc. A firm’s aim is thus unlikely to be simple short-term profit maximisation.
And this broader set of interests translates into policy. The neoliberal free-market, laissez-faire approach to policy is challenged by the desire to take account of broader questions of equity, community and social justice. However privately efficient a free market is, it does not take account of the full social and environmental costs and benefits of firms’ and consumers’ actions or a fair distribution of income and wealth.
It would be wrong, however, to say that economics has not responded to these complexities and concerns. The analysis of externalities, income distribution, incentives, herd behaviour, uncertainty, speculation, cumulative causation and institutional values and biases are increasingly embedded in the economics curriculum and in economic research. What is more, behavioural economics is becoming increasingly mainstream in examining the behaviour of consumers, workers, firms and government. We have tried to reflect these developments in successive editions of our four textbooks.
Article
Questions
- Write a brief defence of traditional economic analysis (i.e. that based on the assumption of ‘rational economic behaviour’).
- What are the shortcomings of traditional economic analysis?
- What is meant by ‘behavioural economics’ and how does it address the concerns raised in Evan Davis’ article?
- How is herd behaviour relevant to explaining macroeconomic fluctuations?
- Identify various stakeholder groups of an energy company. What influence are they likely to have on the company’s behaviour?
- In an era of social media, web-based information and e-commerce, why might it be necessary to rethink the concept of GDP and its measurement?
- What is meant by an efficient stock market? Why may the stock market not be efficient?
The IFS has launched a major five-year review into all aspects of inequality. The review is led by Sir Angus Deaton, the Scottish-born Professor of Economics and International Affairs at Princeton University. In 2015, he was awarded the Nobel Prize in Economic Sciences for his analysis of consumption, poverty, and welfare. The review will cover all aspects of inequality, including inequality of income, wealth, health, life-span, education, social mobility, housing, opportunity and political access, and by gender, age, ethnicity, family and geography. It will look at trends in and causes of inequality, the impacts of globalisation and political change, barriers to tackling inequality and poverty, and at various policy measures.
Although the published Gini coefficient in England and Wales has not changed much over the past 15 years, largely because of support given to the poor by tax credits, it did rise from 31.7 to 33.2 from 2015/16 to 2017/18 (the latest year for which figures are available). Other measures of inequality, however, have changed more dramatically. There is huge geographical inequality in income in the UK, reflected in inequality in health. 
Average weekly earnings in London are 66% higher than in the north east of England. And, according to the IFS, ‘Men in the most affluent areas can expect to live nearly 10 years longer than those in the most deprived areas, and this gap is widening’.
The UK has the greatest inequality of income of developed countries, with the exception of the USA. The IFS warns that the UK could follow the USA:
…where wages for non-college-educated men have not risen for five decades, and where rising mortality for less-educated white men and women in middle age has caused average life expectancy in America to fall for the last three years – something that has not happened for a century. We have not experienced anything similar in the UK but we have now had a decade of stagnant wages and there is recent evidence that ‘deaths of despair’ – deaths from suicide and drug and alcohol abuse – are now rising among middle-aged Britons. Sir Angus will go on to say:
‘I think that people getting rich is a good thing, especially when it brings prosperity to others. But the other kind of getting rich, “taking” rather than “making”, rent-seeking rather than creating, enriching the few at the expense of the many, taking the free out of free markets, is making a mockery of democracy. In that world, inequality and misery are intimate companions.’
The initial report, which introduces the IFS Deaton Review, points to some possible causes of growing inequality, including the dramatic decline in union membership, which now stands at just 13% of private-sector employees, with more flexible labour markets with growing numbers of workers on temporary or zero-hour contracts. Other causes include growing globalisation, rapid technological change making some skills redundant, the power of large companies and their shareholders, large pay rises given to senior executives, growing inequality of access to education and changing family environments with more single parents.
About one in six children in the UK are born to single parents – a phenomenon that is heavily concentrated in low-income and low-educated families, and is significantly less prevalent in continental Europe.
Then there is the huge growth in housing inequality as house prices and rents have risen faster than incomes. Home ownership has increasingly become beyond the reach of many young people, while many older people live in relative housing wealth. Generational inequality is another major factor that the Deaton Review will consider.
Inequalities in different dimensions – income, work, mental and physical health, families and relationships – are likely to reinforce one another. They may result in, and stem from, other inequalities in wealth, cultural capital, social networks and political voice. Inequality cannot be reduced to any one dimension: it is the culmination of myriad forms of privilege and disadvantage.
The review will consider policy alternatives to tackle the various aspects of inequality, from changes to the tax and benefit system, to legislation on corporate behaviour, to investment in various structural resources, such as health and education. As the summary to the initial report states:
The Deaton Review will identify policy responses to the inequalities we face today. It will assess the relative merits of available policy options – taxes and benefits, labour market policies, education, competition policy, ownership structures and regulations – and consider how policies in different spheres can be designed to complement each other and minimise adverse effects. We aim not just to further our understanding of inequalities in the twenty-first century, but to equip policymakers with the knowledge and tools to tackle those inequalities.
Articles
IFS Deaton Review
Questions
- Identify different aspects of inequality. Choose two or three aspects and examine how they are related.
- Why has inequality widened in most developed countries over the past 20 years?
- What is meant by ‘rent seeking’? Why may it be seen as undesirable? Can it be justified and, if so, on what grounds?
- What policies could be adopted to tackle poverty?
- What trade-offs might there be between greater equality and faster economic growth?
- What policies could be adopted that would both reduce inequality and boost long-term economic growth?
It’s been a while since I last blogged about labour markets and, in particular, about the effect of automation on wages and employment. My most recent post on this topic was on the 14th of April 2018 and it was mostly a reflection on some interesting findings that had been reported by Acemoglu et al (2017). More specifically, Acemoglu and Restrepo (2017) developed a theoretical framework to evaluate the effect of AI on employment and wages. They concluded that the effect was negative and potentially sizeable (for a more detailed discussion see my blog).
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 percent.
Since then, I have seen a constant stream of news on my news feed about the development of ever more advanced industrial robots and artificial intelligence. And this was not because of some spooky coincidence (or worse). It has been merely a reflection of the speed at which technology has been progressing in this field.
There are now robots that can run, jump, hold conversations with humans, do gymnastics (and even sweat for it!) and more. It is really impressive how fast change has been happening recently in this field – and, unsurprisingly, it has stimulated the interest of labour economists!
A paper that has recently come to my attention on this subject is by Graetz and Michaels (2018). The authors put together a panel dataset on robot adoption within seventeen countries from 1993 to 2007 and use advanced econometric techniques to evaluate the effect of these technologies on employment and productivity growth. Their analysis focuses exclusively on developed economies (due to data limitations, as they explain) – but their results are nevertheless intriguing:
We study here for the first time the relationship between industrial robots and economic outcomes across much of the developed world. Using a panel of industries in seventeen countries from 1993 to 2007, we find that increased use of industrial robots is associated with increases in labor productivity. We find that the contribution of increased use of robots to productivity growth is substantial and calculate using conservative estimates that it comes to 0.36 percentage points, accounting for 15% of the aggregate economy-wide productivity growth.
The pattern that we document is robust to including various controls for country trends and changes in the composition of labor and other capital inputs. We also find that robot densification is associated with increases in both total factor productivity and wages, and reductions in output prices. We find no significant relationship between the increased use of industrial robots and overall employment, although we find that robots may be reducing the employment of low-skilled workers.
This is very positive news for most – except, of course, for low-skilled workers. Indeed, like Acemoglu and Restrepo (2017) and many others, this study shows that the effect of automation on employment and labour market outcomes is unlikely to be uniform across all types of workers. Low-skilled workers are found again to be likely to lose out and be significantly displaced by these technologies.
And if you are wondering which sectors are likely to be disrupted most/first by automation, the rankings developed by McKinsey and Company (see chart below) would give you an idea of where the disruption is likely to start. Unsurprisingly, the sectors that seem to be the most vulnerable, are the ones that use the highest share of low-skilled labour.
Articles
Questions
- “The effect of automation on wages and employment is likely to be positive overall”. Discuss.
- Using examples and anecdotal evidence, do you agree with these findings?
- Using Google Scholar, put together a list of 5 recent (i.e. 2015 or later) articles and working papers on labour markets and automation. Compare and discuss their findings.
Spring has already made its appearance here in Norfolk. Our garden is in full bloom and I am in a particularly spring-philosophical mood today – especially so as I should soon be hearing news from the editorial office of a coveted economics journal. This concerns a paper that I submitted for publication what feels like months ago.
And just as I was reflecting on this thought, a paper by Firmuc and Paphawasit (2018) landed on my desk, evaluating the impact of physical attractiveness on academic research productivity in the field of economics. More specifically, the authors pull together information about the research productivity of about 2000 published economics researchers. They then find photos of them and rate their attractiveness (yes, seriously!) using an online survey. In particular:
Besides collecting some basic information on the authors, we also rated their attractiveness. To this effect, we circulated a number of online survey links to potential participants at Brunel University and elsewhere, using direct communication, email and social networks. Each online survey collected basic background information on the assessor (gender, age, ethnicity, highest education, and whether they are currently enrolled as a student) followed by 30 randomly-chosen and randomly-ordered photos, with each picture placed on a separate page.
…Each rater was asked to rate the attractiveness of the person in the photo on an 11-point scale, from 0 (unattractive) to 10 (very attractive). No information on the photographed individuals was provided and the raters were told that the survey studies the formation of perceptions of beauty. The raters were also asked whether they recognised the person in the picture, or whether the picture did not load properly: in such instances, their scores were excluded from the analysis.
The average beauty score was 3.9, with the most attractive academic scoring 7.6
They even attach photographs of the three most attractive male authors in their sample in an appendix (thankfully the other end of the distribution was left out – I had to check to make sure, as I was worried for a few minutes I would find my photo posted there!).
Their results show that there is a link between authors’ attractiveness and quality of journals where their papers are published, as well as number of citations that they receive. According to their findings, this association matters most for more productive authors (‘of intermediate and high productivity’), whereas there seems to be very small or no effect for less productive authors. Some of these effects disappear once controlling for journal quality:
…attractive authors tend to publish their research in better journals, but once their work is published, it does not attract more citations than other papers published in the same journal by less good-looking authors.
Although there are many methodological parts of this paper that I do not quite understand (probably because it is not my area of specialisation), it does remind us that looks do matter in labour markets. There is a well-established literature in labour economics discussing the association between appearance/beauty and wages and the so-called ‘halo effect’ (referring to the physical attractiveness premium that more attractive workers are likely to command in labour markets – see also Langlois et al., 2000; Zebrowitz et al., 2002; Kanazawa and Kovar, 2004; for a detailed discussion on this).
I was also surprised to read that this beauty bias can be also gender specific. For instance, Cash et al (1977) and Johnson et al. (2010) find that the effect goes the other way (negative impact) when considering female candidates applying for jobs traditionally perceived as ‘masculine’ ones. By contrast, male candidates are more likely to experience a positive return on good looks, irrespective of the type of job that they do (see also Johnson et al., 2010).
No surprise then that ‘guyliners’, ‘make up for men’ and other male beauty products are becoming increasingly popular amongst younger workers – in Europe it is not as common yet as it is in parts of Asia (Japan comes to mind), but I imagine it is a matter of time, as more workers realise that there are positive returns to be made!
References
- Beautiful Minds: Physical Attractiveness and Research Productivity in Economics
Institute of Labor Economics conference paper, Jan Fidrmucand Boontarika Paphawasit (July 2018)
- Maxims or myths of beauty? A meta-analytic and theoretical review
Psychological Bulletin, Vol 126(3), pp.390–423, Judith H Langlois, Lisa Kalakanis, Adam J Rubenstein, Andrea Larson, Monica Hallam and Monica Smoot (May 2000)
- Looking Smart and Looking Good: Facial Cues to Intelligence and their Origins
Personality and Social Psychology Bulletin, Leslie A Zebrowitz, Judith A Hall, Nora A Murphy, Gillian Rhodes (February 2002)
- Why beautiful people are more intelligent
Intelligence, Vol 32, pp.227–243, Satoshi Kanazawa and Jody L Kovar (2004)
- Sexism and beautyism in personnel consultant decision making
Journal of Applied Psychology, Vol 62(3), pp.301–10, Thomas Cash, Barry Gillen and D S Burns (January 1977)
- Physical Attractiveness Biases in Ratings of Employment Suitability: Tracking Down the “Beauty is Beastly” Effect
The Journal of Social Psychology, 150(3), pp.301–18, Stefanie K Johnson, Kenneth E Podratz, Robert L Dipboye and Ellie Gibbons (April 2010)
Article
Questions
- Read some of the papers posted above and explain the main argument about the link between physical attraction and wages. What does the empirical evidence show on this?
- Using examples and anecdotal evidence, do you agree with these findings?
- If these findings are representative of the real world, what do they suggest about the functioning of modern labour markets?
