Proportionally, more people are billionaires in San Francisco (1 in 11,600) than have fixed line broadband in South Sudan or the Democratic Republic of the Congo.
How did we get here? And what does it mean for cyber security capacity building? Part one of a two part blog.
It now matters where you live: income inequality between countries
It seems obvious today that the country we live in makes a big difference to how much we earn. But that’s a relatively new development.
Two hundred years ago, where you lived made little difference to your income. Pretty much everyone lived in what we call extreme poverty and had a life expectancy of around 30 years. In 1820, a building labourer in Africa could use their daily wage to buy food with enough calories to last them 3 days. In Western Europe, the daily wage for the same job bought you 12 days of food. Both situations were pretty precarious. What mattered to your income was not where you lived, but what you did: beggar, building labourer or banker.
Jump back to the present and it’s where you live that is the greater determinant of your income. A building labourer in Africa can now buy 18 days of calories with a daily wage, while their counterpart in Western European (or San Francisco) can buy 163. The former’s life expectancy at birth is 61 and the latter’s is 80.
The recent importance of where you live on your income is shown in the chart below by Our World In Data. Total global income inequality is the top line in green. Its component parts are: income inequality between countries (red); and income inequality within countries (blue). As you can see, around 1930 the country you live in overtook the work you do as the key driver of income.
So, the first part of the answer to “how did we got here?” is that geography has started to really matter. Why is that?
The Great Divergence and The Great Convergence
As we saw, in the early 1800s every country was in a similar position in terms of per capita income. Then from the mid to late 1800s Europe, North America and Australia began to experience unprecedented growth and, for a time, left the other regions behind. This has been called the Great Divergence.
This explosive growth has been accounted for with competing theories ranging from the shameful (slavery) to the inspiring (two industrial revolutions) to the accidental (having coal reserves near major cities).
By 1975 its impact on global income distribution was a divided world. The ‘West’ were earning around $15 a day (in 2011 prices), while ‘The Rest’ were distributed tightly around $0.8 a day – well below the poverty line.
All this changed again after 1980. The Great Divergence was followed by the Great Convergence, as India, China and others rapidly narrowed the gap. The animation below shows this catch up until 2011, but it is a trend that continues today. The country we live in is still important for our income, but it is beginning to matter less than it did at its 1980 peak.
However, even after the Great Convergence, there remain deep pockets of poverty, especially in Sub Saharan Africa.
The situation in which some countries find themselves – blessed by rich natural resources and cursed by conflicts or weak governance – has been called a poverty trap. South Sudan and DRC exemplify these conditions and it is in these that we find the greatest contrast with San Francisco in terms of both income and internet access.
What you do always mattered: income inequality within countries
Turning now just to America, I’ll admit that the prevalence of billionaires in San Francisco took me by surprise, but the reasons for it are familiar. America benefitted most from the Great Divergence and invested some of its wealth in world class tech research institutions on its west coast. Those institutions helped start a third (digital) industrial revolution and tech firms clustered around their talent. And a decade of acquisitions by the largest tech players has created some very rich people.
The world’s c.2,600 billionaires make up about 0.000002% of its population. Over the past four decades, despite the 2008 recession, they’ve achieved greater proportional income and wealth growth than any other group.
The rapidly rising income of the billionaires is the extreme point in a wider trend: since 1980 income inequality within countries has been rising, both in America and globally (see the blue line on the first chart). This comes after a period of falling inequality from 1910 to 1950. The better off are once again pulling away from the lowest and middle earners.
The digital divide
That was a lot of economics for a cyber blog, but here’s the crunch. How your country – and even your city – fared in the last two centuries of the Great Divergence and the Great Convergence will significantly influence both your ability to pay for internet access and the price you pay for it.
An assistant professor in Juba, South Sudan, earns $54 a month and would be charged $200 a month for home broadband. One in San Francisco makes $7,400 and pays $50. Unsurprisingly, internet penetration in South Sudan is 17% (thanks to mobile) compared with 89% in the US.
To compare the US and South Sudan is to look at the extremes, but, as with income, the picture looks a lot more positive in the middle. There are now over 3 billion people online, 2 billion of them in low and middle-income countries. In 1820, there were only 1 billion people on the planet.
The ITU estimate 48% of the world’s population were online by 2017:
The percentage of a population online – internet penetration – is a crude measure of access. It ignores the price you pay, the speed of your connection, what proportion of online sites and services you can access, whether you trust them enough to use them, whether there is content in your language and many other potential barriers to benefitting fully from the web. It also ignores the other ways the internets (plural) might be introducing benefits and risks into your life. These range from how your military and emergency services communicate, to how money gets transferred, to how your nearest power station produces electricity.
Nonetheless, internet penetration is a good enough indicator to see that participation in the digital era is spreading like the economic waves that lifted first Europe and America and then Asia and Latin America. Only this time the process is on fast forward and there’s no hitting pause on the remote.
The implications for cyber security capacity building
Thanks for sticking with me through part one of this blog post. In part two I’ll look at whether, in addition to a Income Gap and Digital Divide, there is also a Cyber Canyon.