Tag: income inequality

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.

Each January, world political and business leaders gather at the ski resort of Davos in Switzerland for the World Economic Forum. They discuss a range of economic and political issues with the hope of guiding policy.

This year, leaders meet at a time when the global political context has and is changing rapidly. This year the focus is on ‘Creating a Shared Future in a Fractured World’. As the Forum’s website states:

The global context has changed dramatically: geostrategic fissures have re-emerged on multiple fronts with wide-ranging political, economic and social consequences. Realpolitik is no longer just a relic of the Cold War. Economic prosperity and social cohesion are not one and the same. The global commons cannot protect or heal itself.

One of the main ‘fissures’ which threatens social cohesion is the widening gap between the very rich and the rest of the world. Indeed, inequality and poverty is one of the main agenda items at the Davos meeting and the Forum website includes an article titled, ‘We have built an unequal world. Here’s how we can change it’ (see second link in the Articles below). The article shows how the top 1% captured 27% of GDP growth between 1980 and 2016.

The first Guardian article below identifies seven different policy options to tackle the problem of inequality of income and wealth and asks you to say, using a drop-down menu, which one you think is most important. Perhaps it’s something you would like to do.

Articles

Project Davos: what’s the single best way to close the world’s wealth gap? The Guardian, Aidan Mac Guill (19/1/18)
We have built an unequal world. Here’s how we can change it World Economic Forum, Winnie Byanyima (22/1/18)
Oxfam highlights sharp inequality as Davos elite gathers ABC news, Pan Pylas (21/1/18)
Inequality gap widens as 42 people hold same wealth as 3.7bn poorest The Guardian, Larry Elliott (22/1/18)
There’s a huge gender component to income inequality that we’re ignoring Business Insider, Pedro Nicolaci da Costa (22/1/18)
Ahead of Davos, even the 1 percent worry about inequality Washington Post, Heather Long (22/1/18)
“Fractures, Fears and Failures:” World’s Ruling Elites Stare into the Abyss GlobalResearch, Bill Van Auken (18/1/18)
Why the world isn’t getting a pay raise CNN Money, Patrick Gillespie and Ivana Kottasová (1/11/17)

WEF archive
Articles on Inequality World Economic Forum

Questions

  1. Distinguish between income and wealth. In global terms, which is distributed more unequally?
  2. Why has global inequality of both income and wealth grown?
  3. Explain which of the seven policy options identified by the Guardian you would choose/did choose?
  4. Go through each one of the seven policy options and identify what costs would be associated with pursuing it.
  5. Identify any other policy options for tackling the problem.

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

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

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

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

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

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

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

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

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

Articles

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

Report

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

Questions

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

In the blog post, Global warning, we looked at the use of unconventional macroeconomic policies to deal with the slow pace of economic growth around the world. One of the articles was by Nouriel Roubini. In the linked article below, he argues that slow economic growth may be the new global norm.

At the centre of the problem is a fall in the rate of potential economic growth. This has been caused by a lack of investment, which has slowed the pace of innovation and the growth in labour productivity.

The lack of investment, in turn, has been caused by a lack of spending by both households and governments. What is the point in investing in new capacity, argue firms, if they already have spare capacity?

Low consumer spending is partly the result of a redistribution of income from low- and middle-income households (who have a high marginal propensity to consume) to high-income households and corporations (who have a low mpc). Low spending is also the result of both consumers and governments attempting to reduce their levels of debt by cutting back spending.

Low growth leads to hysteresis – the process whereby low actual growth leads to low potential growth. The reason is that the unemployed become deskilled and the lack of investment by firms reduces the innovation that is necessary to embed new technologies.

Read Roubini’s analysis and consider the policy implications.

Article

Has the global economic growth malaise become the ‘new normal’? The Guardian, Nouriel Roubini (2/5/16)

Questions

  1. Explain what is meant by ‘hysteresis’ and how the concept is relevant in explaining low global economic growth.
  2. Why has there been a reduction in the marginal propensity to consume in recent years? What is the implication of this for the multiplier and economic recovery?
  3. Explain what Roubini means by ‘a painful de-leveraging process’. What are the implications of this process?
  4. How important are structural reforms and what forms could these take? Why has there been a reluctance for governments to institute such reforms?
  5. ‘Asymmetric adjustment between debtor and creditor economies has also undermined growth.’ Explain what Roubini means by this.
  6. Why are governments reluctant to use fiscal policy to boost both actual and potential economic growth?
  7. What feasible policy measures could be taken to boost actual and potential economic growth?

What will production look like in 20 years time? Will familiar jobs in both manufacturing and the services be taken over by robots? And if so, which ones? What will be the effect on wages and on unemployment? Will most people be better off, or will just a few gain while others get by with minimum-wage jobs or no jobs at all?

The BBC has been running a series looking at new uses for robots and whether they will take people’s jobs? This complements three reports: one by Boston Consulting one by Deloitte and an earlier one by Deloitte and Michael Osborne and Carl Frey from Oxford University’s Martin School. As Jane Wakefield, the BBC’s technology reporter states:

Boston Consulting Group predicts that by 2025, up to a quarter of jobs will be replaced by either smart software or robots, while a study from Oxford University has suggested that 35% of existing UK jobs are at risk of automation in the next 20 years.

Jobs at threat from machines include factory work, office work, work in the leisure sector, work in medicine, law, education and other professions, train drivers and even taxi and lorry drivers. At present, in many of these jobs machines work alongside humans. For example, robots on production lines are common, and robots help doctors perform surgery and provide other back-up services in medicine.

A robot may not yet have a good bedside manner but it is pretty good at wading through huge reams of data to find possible treatments for diseases.

Even if robots don’t take over all jobs in these fields, they are likely to replace an increasing proportion of many of these jobs, leaving humans to concentrate on the areas that require judgement, creativity, human empathy and finesse.

These developments raise a number of questions. If robots have a higher marginal revenue product/marginal cost ratio than humans, will employers choose to replace humans by robots, wholly or in part? How are investment costs factored into the decision? And what about industrial relations? Will employers risk disputes with employees? Will they simply be concerned with maximising profit or will they take wider social concerns into account?

Then there is the question of what new jobs would be created for those who lose their jobs to machines. According to the earlier Deloitte study, which focused on London, over 80% of companies in London say that over the next 10 years they will be most likely to take on people with skills in ‘digital know-how’, ‘management’ and ‘creativity’.

But even if new jobs are created through the extra spending power generated by the extra production – and this has been the pattern since the start of the industrial revolution some 250 years ago – will these new jobs be open largely to those with high levels of transferable skills? Will the result be an ever widening of the income gap between rich and poor? Or will there be plenty of new jobs throughout the economy in a wide variety of areas where humans are valued for the special qualities they bring? As the authors of the later Deloitte paper state:

The dominant trend is of contracting employment in agriculture and manufacturing being more than offset by rapid growth in the caring, creative, technology and business services sectors.

The issues of job replacement and job creation, and of the effects on income distribution and the balance between work and leisure, are considered in the following videos and articles, and in the three reports.

Videos

What is artificial intelligence? BBC News, Valery Eremenko (13/9/15)
What jobs will robots take over? BBC News, David Botti (15/8/14)
Could a robot do your job? BBC News, Rory Cellan-Jones (14/9/15)
Intelligent machines: The robots that work alongside humans BBC News, Rory Cellan-Jones (14/9/15)
Intelligent machines: Will you be replaced by a robot? BBC News, John Maguire (14/9/15)
Will our emotions change the way adverts work? BBC News, Dan Simmons (24/7/15)
Could A Robot Do My Job? BBC Panorama, Rohan Silva (14/9/15)

Articles

Technology has created more jobs in the last 144 years than it has destroyed, Deloitte study finds Independent, Doug Bolton (18/8/15)
Technology has created more jobs than it has destroyed, says 140 years of data The Guardian, Katie Allen (18/8/15)
Will a robot take your job? BBC News (11/9/15)
Intelligent Machines: The jobs robots will steal first BBC News, Jane Wakefield (14/9/15)
Robots Could Take 35 Per Cent Of UK Jobs In The Next 20 Years Says New Study Huffington Post, Thomas Tamblyn (14/9/15)
The new white-collar fear: will robots take your job? The Telegraph, Rohan Silva (12/9/15)
Does technology destroy jobs? Data from 140 years says no Catch news, Sourjya Bhowmick (11/9/15)

Reports

Takeoff in Robotics Will Power the Next Productivity Surge in Manufacturing Boston Consulting Group (10/2/15)
Agiletown: the relentless march of technology and London’s response Deloitte (November 2014)
Technology and people: The great job-creating machine Deloitte, Ian Stewart, Debapratim De and Alex Cole (August 2015)

Questions

  1. Which are the fastest growing and fastest declining occupations? To what extent can these changes be explained by changes in technology?
  2. What type of unemployment is caused by rapid technological change?
  3. Why, if automation replaces jobs, have jobs increased over the past 250 years?
  4. In what occupations is artificial intelligence (AI) most likely to replace humans?
  5. To what extent are robots and humans complementary rather than substitute inputs into production?
  6. “Our analysis of more recent employment data also reveals a clear pattern to the way in which technology has affected work.” What is this pattern? Explain.
  7. Why might AI make work more interesting for workers?
  8. Using a diagram, show how an increase in workers’ marginal productivity from working alongside robots can result in an increase in employment. Is this necessarily the case? Explain.