Our World in Data - Hannah Ritchie | Max Roser
Climate change is one of the world’s most pressing challenges. Human emissions of greenhouse gases – carbon dioxide (CO
2), nitrous oxide, methane, and others – have increased global temperatures by around 1℃ since pre-industrial times.
1
A
changing climate has a range of potential ecological, physical and
health impacts, including extreme weather events (such as floods,
droughts, storms, and heatwaves); sea-level rise; altered crop growth;
and disrupted water systems. The most extensive source of analysis on
the potential impacts of climatic change can be found in the
5th Intergovernmental Panel on Climate Change (IPCC) report.
2
To mitigate climate change, UN member parties have
set a target, in the
Paris Agreement, of limiting average warming to 2℃ above pre-industrial temperatures.
Summary
- Global average temperatures have increased by more than 1℃ since pre-industrial.
- CO2 concentrations in the atmosphere are now well over 400ppm – their highest levels in over 800,000 years.
- Globally we emit over 36 billion tonnes of CO2 per year – this continues to increase.
- There are large differences – more than 100-fold – in per capita CO2 emissions between countries.
- Today, China is the world’s largest CO2
emitter – accounting for more than one-quarter of emissions. This is
followed by the USA (15%); EU-28 (10%); India (7%); and Russia (5%).
- The USA has contributed most to global CO2
emissions to date, accounting for 25% of cumulative emissions. This is
followed by the EU-28 (22%); China (13%); Russia (6%) and Japan (4%).
- A large amount of CO2
is embedded in traded goods – this means some countries’ emissions
increase while others decrease when we look at emissions based on
consumption rather than production.
- There are large inequalities in CO2
emissions: the world’s poorest have contribute less than 1% of
emissions, but will be the most vulnerable to climate change impacts.
- The
world is not on-track to meet its agreed target of limiting warming to
2℃. Under current policies, expected warming will be in the range
3.1-3.7℃.
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Global warming to date
Temperature increase
Global average temperature has increased by more than one degree celsius since pre-industrial times.
To
set the scene, let’s look at how the planet has warmed. In the chart we
see the global average temperature relative to the average of the
period between 1961 and 1990.
The red line represents the average
annual temperature trend through time, with upper and lower confidence
intervals shown in light grey.
We see that over the last few
decades, global temperatures have risen sharply — to approximately 0.7℃
higher than our 1961-1990 baseline. When extended back to 1850, we see
that temperatures then were a further 0.4℃ colder than they were in our
baseline. Overall, this would amount to an average temperature rise of
1.1℃.
Because there are small year-to-year fluctuations in
temperature, the specific temperature increase depends on what year we
assume to be ‘pre-industrial’ and the end year we’re measuring from. But
overall, this temperature rise is in the range of 1 to 1.2℃.
In
this chart you can also view these changes by hemisphere (North and
South), as well as the tropics (defined as 30 degrees above and below
the equator). This shows us that the temperature increase in the North
Hemisphere is higher, at closer to 1.4℃ since 1850, and less in the
Southern Hemisphere (closer to 0.8℃). Evidence suggests that this
distribution is strongly related to ocean circulation patterns (notably
the North Atlantic Oscillation) which has resulted in greater warming in
the northern hemisphere.
3.
CO2 in the atmosphere
CO2 concentrations in the atmosphere are at their highest levels in over 800,000 years.
This rise in global average temperature is attributed to an increase in greenhouse gas emissions.
4 This link between global temperatures and greenhouse gas concentrations – especially CO
2 – has been true throughout Earth’s history.
5
In the chart here we see global average concentrations of CO
2 in the atmosphere over the past 800,000 years. Over this period we see consistent fluctuations in CO
2 concentrations; these periods of rising and falling CO
2 coincide with the onset of ice ages (low CO
2) and interglacials (high CO
2).
6 These periodic fluctuations are caused by changes in the Earth’s orbit around the sun – called
Milankovitch cycles.
Over this long period, atmospheric concentrations of CO
2 did not exceed 300 parts per million (ppm). This changed with the Industrial Revolution and the rise of human emissions of CO
2 from burning
fossil fuels. We see a rapid rise in global CO
2
concentrations over the past few centuries, and in recent decades in
particular. For the first time in over 800,000 years, concentrations did
not only rise above 300ppm but are now well over 400ppm.
How much
of the warming since 1850 can be attributed to human emissions? Almost
all of it: aerosols have played a slight cooling role in global climate,
and natural variability has played a very minor role.
This article from the
Carbon Brief, with interactive graphics showing the relative contributions of different forcings on the climate, explains this very well.
How have global CO2 emissions changed over time?
The visualisation presents the long-run perspective on global CO
2
emissions. Global emissions increased from 2 billion tonnes of carbon
dioxide in 1900 to over 36 billion tonnes 115 years later.
What do our most recent trends in emissions and concentrations look like? Are we making any progress in reduction?
Whilst data from 2014 to 2017 suggested global annual emissions of CO
2 had approximately stabilized, data from the
Global Carbon Project reported a further annual increase of 2.7%, and 0.6% in 2018 and 2019, respectively.
Per capita CO2 emissions
Where in the world does the average person emit the most carbon dioxide (CO
2) each year?
We
can calculate the contribution of the average citizen of each country
by dividing its total emissions by its population. This gives us CO
2 emissions per capita. In the visualization we see the differences in per capita emissions across the world.
Here
we look at production-based emissions – that is, emissions produced
within a country’s boundaries without accounting for how goods are
traded across the world. In our post on
consumption-based emissions
we look at how these figures change when we account for trade.
Production figures matter – these are the numbers that are taken into
account for climate targets
7 – and thanks to
historical reconstructions they are available for the entire world since the mid 18th century.
There are very large inequalities in per capita emissions across the world.
The world’s largest per capita CO
2 emitters are the major
oil producing countries; this is particularly true for those with relatively low
population size.
Most are in the Middle East: In 2017 Qatar had the highest emissions at
49 tonnes (t) per person, followed by Trinidad and Tobago (30t); Kuwait
(25t); United Arab Emirates (25t); Brunei (24t); Bahrain (23t) and
Saudi Arabia (19t).
However, many of the major oil producers have a relatively small population meaning their total
annual emissions are low. More populous countries with some of the highest per capita emissions – and therefore high
total emissions
– are the United States, Australia, and Canada. Australia has an
average per capita footprint of 17 tonnes, followed by the US at 16.2
tonnes, and Canada at 15.6 tonnes.
This is more than 3 times higher than the
global average, which in 2017 was 4.8 tonnes per person.
Since there is such a
strong relationship between income and per capita CO
2
emissions, we’d expect this to be the case: that countries with high
standards of living would have a high carbon footprint. But what becomes
clear is that there can be large differences in per capita emissions,
even between countries with similar standards of living. Many countries
across Europe, for example, have much lower emissions than the US,
Canada or Australia.
In fact, some European countries have
emissions not far from the global average: In 2017 emissions in Portugal
are 5.3 tonnes; 5.5t in France; and 5.8t per person in the UK. This is
also much lower than some of their neighbours with similar standards of
living, such as Germany, the Netherlands, or Belgium. The choice of
energy sources plays a key role here: in the UK, Portugal and France, a
much higher share of electricity is produced from nuclear and renewable
sources – you can explore this electricity mix by country
here. This means a much lower share of electricity is produced from fossil fuels: in 2015,
only 6% of France’s electricity came from fossil fuels, compared to
55% in Germany.
Prosperity is a primary driver of CO
2 emissions, but clearly policy and technological choices make a difference.
Many countries in the world still have very low per capita CO
2
emissions. In many of the poorest countries in Sub-Saharan Africa –
such as Chad, Niger and the Central African Republic – the average
footprint is around 0.1 tonnes per year. That’s more than 160 times
lower than the USA, Australia and Canada. In just 2.3 days the average
American or Australian emits as much as the average Malian or Nigerien
in a year.
This inequality in emissions across the world I explored in more detail in my post, ‘
Who emits more than their share of CO2 emissions?’
Annual CO2 emissions
Who emits the most CO
2 each year? In the treemap visualization we show annual CO
2
emissions by country, and aggregated by region. Treemaps are used to
compare entities (such as countries or regions) in relation to others,
and relative to the total. Here each inner rectangle represents a
country – which are then nested and colored by region. The size of each
rectangle corresponds to its annual CO
2 emissions in 2017. Combined, all rectangles represent the global total.
The emissions shown here relate to the country where CO
2 is produced (i.e.production-based CO
2)
, not to where the goods and services that generate emissions are
finally consumed. We look at the difference in each country’s production
vs. consumption (trade-adjusted) emissions
here.
Asia is by far the largest emitter, accounting for 53% of global emissions. As it is
home to 60% of the world’s population this means that per capita emissions in Asia are slightly lower than the world average, however.
China
is, by a significant margin, Asia’s and the world’s largest emitter: it
emits nearly 10 billion tonnes each year, more than one-quarter of
global emissions.
North America – dominated by the USA – is the
second largest regional emitter at 18% of global emissions. It’s
followed closely by Europe with 17%. Here we have grouped the 28
countries of the European Union together, since they typically negotiate
and
set targets as a collective body. You can see the data for individual EU countries in the interactive maps which follow.
Africa
and South America are both fairly small emitters: accounting for 3-4%
of global emissions each. Both have emissions almost equal in size to
international aviation and shipping. Both aviation and shipping are not
included in national or regional emissions. This is because of
disagreement over how emissions which cross country borders should be
allocated: do they belong to the country of departure, or country of
origin? How are connecting flights accounted for? The tensions in
reaching international aviation and shipping deals are discussed in
detail at the Carbon Brief
here.
How did CO2 emissions change over time?
The same data is also explorable by country and over time in the interactive map.
By clicking on any country you can see how its annual emissions have changed, and compare it with other countries.
Share of global CO2 emissions by country
In the interactive chart you can explore each country’s
share
of global emissions. Using the timeline at the bottom of the map, you
can see how the global distribution has changed since 1751. By clicking
on any country you can see its evolution and compare it with others.
If
you’re interested in which countries emit more or less than their ‘fair
share’ based on their share of global population, you can explore this
here.
The distribution of emissions has changed significantly over time. The UK was – until 1888, when it
was overtaken
by the US – the world’s largest emitter. This was because the UK was
the first country to industrialize, a transition which later contributed
to in massive improvements in living standards for much of its
population.
Whilst rising CO
2 emissions have clear
negative environmental consequences, it is also true that they have
historically been a by-product of positive improvements in human living
conditions. But, it’s also true that reducing CO
2 emissions
is important to protect the living conditions of future generations.
This perspective – that we must consider both the environmental and
human welfare implications of emissions – is important if we are to
build a future that is both sustainable and provides high standards of
living for everyone.
Rising emissions and living standards in North America and Oceania followed soon after developments in the UK.
Many
of the world’s largest emitters today are in Asia. However, Asia’s
rapid rise in emissions has only occurred in very recent decades. This
too has been a by-product of massive improvements in living standards:
since 1950 life expectancy in Asia
has increased from 41 to 74 years; it has seen a dramatic
fall in extreme poverty; and for the first time most of its population
received formal education.
Whilst
all countries must work collectively, action from the very top emitters
will be essential. China, the USA and the 28 countries of the EU
account for more than half of global emissions. Without commitment from
these largest emitters, the world will not come close to meeting its
global targets.
Cumulative CO2 emissions
Since 1751 the
world has emitted over 1.5 trillion tonnes of CO
2.
8 To reach our
climate goal
of limiting average temperature rise to 2°C, the world needs to
urgently reduce emissions. One common argument is that those countries
which have added most to the CO
2 in our atmosphere – contributing most to the problem today – should take on the greatest responsibility in tackling it.
We can compare each country’s total contribution to global emissions by looking at
cumulative CO2. We can calculate cumulative emissions by adding up each country’s annual CO
2 emissions over time. We did this calculation for each country and region over the period from 1751 through to 2017.
9
The
distribution of cumulative emissions around the world is shown in the
treemap. Treemaps are used to compare entities (such as countries or
regions) in relation to others, and relative to the total. Here
countries are presented as rectangles and colored by region. The size of
each rectangle corresponds to the sum of CO
2 emissions from a country between 1751 and 2017. Combined, all rectangles represent the global total.
There are some key points we can learn from this perspective:
- the United States has emitted more CO2 than any other country to date: at around 400 billion tonnes since 1751, it is responsible for 25% of historical emissions;
- this is twice more than China – the world’s second largest national contributor;
- the 28 countries of the European Union (EU-28) – which are grouped together here as they typically negotiate and set targets on a collaborative basis – is also a large historical contributor at 22%;
- many of the large annual emitters today – such as India and Brazil – are not large contributors in a historical context;
- Africa’s regional contribution – relative to its population size – has been very small. This is the result of very low per capita emissions – both historically and currently.
All
of this data is also explorable by country and over time in the
interactive map. By clicking on any country you can see the country’s
cumulative emissions over time, and compare it with other countries.
How has each region’s share of global cumulative CO2 emissions changed over time?
In
the visualizations above we focused on each country or region’s total
cumulative emissions (1) in absolute terms; and (2) at a single point in
time: as of 2017.
In the chart we see the change in the share of global cumulative emissions by region over time – from 1751 through to 2017.
Up until 1950, more than half of historical CO
2 emissions were emitted by Europe. The vast majority of European emissions back then were emitted by the United Kingdom; as the
data shows, until 1882 more than half of the world’s cumulative emissions came from the UK alone.
Over the century which followed, industrialization in the USA rapidly increased its contribution.
It’s
only over the past 50 years that growth in South America, Asia and
Africa have increased these regions’ share of total contribution.
How has each country’s share of global cumulative CO2 emissions changed over time?
In the final visualization you can explore the same cumulative CO
2 emissions as you have seen above but now visualizes
by country.
Using the timeline at the bottom of the chart you can see how
contribution across the world has evolved since 1751. By clicking on a
country you can see an individual country’s cumulative contribution over
time.
The map for 2017 shows the large inequalities of
contribution across the world that the first treemap visualization has
shown. The USA has emitted most to date: more than a quarter of all
historical CO
2: twice that of China which is the second
largest contributor. In contrast, most countries across Africa have been
responsible for less than 0.01% of all emissions over the last 266
years.
What becomes clear when we look at emissions across the
world today is that the countries with the highest emissions over
history are not always the biggest emitters today. The UK, for example,
was responsible for only
1% of global emissions
in 2017. Reductions here will have a relatively small impact on
emissions at the global level – or at least fall far short of the scale
of change we need. This creates tension with the argument that the
largest contributors in the past should be those doing most to reduce
emissions today. This is because a large fraction of CO
2 remains in the atmosphere for hundreds of years once emitted.
10
This inequality is one of the main reasons which makes international agreement on who should take action so challenging.
Consumption-based (trade-adjusted) CO2 emissions
CO
2
emissions are typically measured on the basis of ‘production’. This
accounting method – which is sometimes referred to as ‘territorial’
emissions – is used when countries report their emissions, and set
targets domestically and internationally.
11
In
addition to the commonly reported production-based emissions
statisticians also calculate ‘consumption-based’ emissions. These
emissions are adjusted for
trade.
To calculate consumption-based emissions we need to track which goods
are traded across the world, and whenever a good was imported we need to
include all CO
2 emissions that were emitted in the production of that good, and vice versa to subtract all CO
2 emissions that were emitted in the production of goods that were exported.
Consumption-based emissions reflect the consumption and lifestyle choices of a country’s citizens.
Which countries in the world are net importers of emissions and which are net exporters?
In
the interactive map we see the emissions of traded goods. To give a
perspective on the importance of trade these emissions are put in
relation to the country’s domestic, production-based emissions.
12
- Countries shown in red are net importers of emissions – they import more CO2 embedded in goods than they export.
For example, the USA has a value of 7.7% meaning its net import of CO2
is equivalent to 7.7% of its domestic emissions. This means emissions
calculated on the basis of ‘consumption’ are 7.7% higher than their
emissions based on production.
- Countries shown in blue are net exporters of emissions – they export more CO2 embedded in goods than they import.
For example, China’s value of -14% means its net export of CO2
is equivalent to 14% of its domestic emissions. The consumption-based
emissions of China are 14% lower than their production-based emissions.
We
see quite a regional East-West split in net exporters and importers:
most of Western Europe, the Americas, and many African countries are net
importers of emissions whilst most of Eastern Europe and Asia are net
exporters.
You can find these figures in absolute (tonnes of CO
2) and per capita terms for each country in the
Additional Information section.
How do consumption-based emissions compare to production-based emissions?
How did the differences between a country’s production and consumption-based emissions change over time?
In
the interactive charts you can compare production- and
consumption-based emissions for many countries and world regions since
the first data is available in 1990.
13
One chart shows total annual emissions, the other one shows the same on
a per capita basis. Using the ‘change country’ toggle of the chart you
can switch between them.
Individual maps of consumption-based annual and per capita emissions can also be found in the
Additional Information which follows this post.
We
see that the consumption-based emissions of the US are higher than
production: In 2016 the two values were 5.7 billion versus 5.3 billion
tonnes – a difference of
8%. This tells us that more CO
2 is emitted in the production of the goods that Americans import than in those products Americans export.
The opposite is true for China: its consumption-based emissions
are 14% lower
than its production-based emissions. On a per capita basis, the
respective measures are 6.9 and 6.2 tonnes per person in 2016. A
difference, but smaller than what many expect.
Whilst China is a large CO
2 emissions exporter, it is no longer a large emitter
because
it produces goods for the rest of the world. This was the case in the
past, but today, even adjusted for trade, China now has a per capita
footprint
higher than the global average (which is 4.8 tonnes per capita in 2017). In the
Additional Information you find an interactive map of how consumption-based emissions per capita vary across the world.
These
comparisons provide the answer to the question whether countries have
only achieved emissions reductions by offshoring emissions intensive
production to other countries. If only production-based emissions were
falling whilst consumption-based emissions were rising, this would
suggest it was ‘offshoring’ emissions elsewhere.
There are some
countries where this is the case. Examples where production-based
emissions have stagnated whilst consumption-based CO
2 steadily increased include Ireland
in the early 2000s; Norway
in the late 1990s and early 2000s; and Switzerland
since 1990.
On the other hand there are several very rich countries where both production-
and consumption-based emissions have declined. This has been true, among others, for the UK (
chart), France (
chart), Germany (
chart), and the USA (
chart).
These countries have achieved some genuine reductions without
outsourcing the emissions to other countries. Emissions are still too
high in all of these countries, but it shows that genuine reductions are
possible.
In most countries emissions increased when countries
become richer,
but this is also not necessarily the case: by comparing the change in
consumption-based emissions and economic growth we see that
many countries have become much richer while achieving a reduction of emissions.
CO2 emissions by fuel
Carbon dioxide emissions associated with
energy and industrial production can come from a range of fuel types.
The contribution of each of these sources has changed significantly
through time, and still shows large differences by region. In the chart
we see the absolute and relative contribution of CO
2 emissions by source, differentiated between gas, liquid (i.e. oil), solid (coal and biomass), flaring, and cement production.
At
a global level we see that early industrialisation was dominated by the
use of solid fuel—this is best observed by switching to the ‘relative’
view in the chart. Coal-fired power at an industrial-scale was the first
to emerge in Europe and North America during the 1700s. It wasn’t until
the late 1800s that we begin to see a growth in emissions from oil and
gas production. Another century passed before emissions from flaring and
cement production began. In the present day, solid and liquid fuel
dominate, although contributions from gas production are also notable.
Cement and flaring at the global level remain comparably small.
You
can also view these trends across global regions in the chart by
clicking on ‘change region’. The trends vary significantly by region.
Overall patterns across Europe and North America are similar: early
industrialisation began through solid fuel consumption, however, through
time this energy mix has diversified. Today, CO
2 emissions
are spread fairly equally between coal, oil and gas. In contrast, Latin
America and the Caribbean’s emissions have historically been and remain a
product of liquid fuel—even in the early stages of development coal
consumption was small.
15
Asia’s
energy remains dominant in solid fuel consumption, and has notably
higher cement contributions relative to other regions.
16
Africa also has more notable emissions from cement and
flaring; however, its key sources of emissions are a diverse mix between solid, liquid and gas.
Global inequalities in CO2 emissions
Global inequalities by production
There are two parameters that determine our collective carbon dioxide (CO
2) emissions: the number of people, and quantity emitted per person. We either talk about
total annual or
per capita
emissions. They tell very different stories and this often results in
confrontation over who can really make an impact: rich countries with
high per capita emissions, or those with a large population.
To help us understand the global distribution of per capita emissions and population, we have visualized global CO
2 emissions by (1)
World Bank income group and (2) by world region.
The world’s total CO
2 emissions
17 are shown on the basis of two axes: the height of the bar (y-axis) is the average
per capita CO
2
emissions and the length of the box (x-axis) is the total population.
Since total emissions are equal to per capita emissions multiplied by
the number of people, the area of each box represents total emissions.
18
Emissions by country’s income
When
aggregated in terms of income, we see in the visualization that the
richest half (high and upper-middle income countries) emit 86 percent of
global CO
2 emissions. The bottom half (low and lower-middle
income) only 14%. The very poorest countries (home to 9 percent of the
global population) are responsible for just 0.5 percent. This provides a
strong indication of the relative sensitivity of global emissions to
income versus population. Even several billion additional people in
low-income countries — where
fertility rates
and population growth is already highest — would leave global emissions
almost unchanged. 3 or 4 billion low income individuals would only
account for a few percent of global CO
2. At the other end of
the distribution however, adding only one billion high income
individuals would increase global emissions by almost one-third.
19
Note
here that the summary by income is on the basis of country income
groupings, rather than that of individuals. For example, ‘low income’ is
the total emissions of all
countries defined as low income, rather than the lowest income
individuals
in the world. These figures therefore don’t take account of
inequalities in emissions within countries. It’s estimated that
within-country inequalities in emissions
can be as large as those between countries.
20
If
we were to calculate this distribution by the income of individuals,
rather than countries, we’d see that the global inequalities in
emissions would be even greater. The richest of the global population
would be responsible for an even larger share of global emissions.
Emissions by world region
When
aggregated by region we see that North America, Oceania, Europe, and
Latin America have disproportionately high emissions relative to their
population. North America is home to only five percent of the world
population but emits nearly 18 percent of CO
2 (almost four
times as much). Asia and Africa are underrepresented in emissions. Asia
is home to 60 percent of the population but emits just 49 percent;
Africa has 16 percent of the population but emits just 4 percent of CO
2. This is reflected in per capita emissions; the average North American is more than 17 times higher than the average African.
This
inequality in global emissions lies at the heart of why international
agreement on climate change has (and continues to be) so contentious.
The richest countries of the world are home to half of the world
population, and emit 86 percent of CO
2 emissions. We want
global incomes and living standards — especially of those in the poorest
half — to rise. To do so whilst limiting climate change, it’s clear
that we must shrink the emissions of high-income lifestyles. Finding the
compatible pathway for levelling this inequality is one of the greatest
challenges of this century.
Global inequalities by consumption
The
initial comparison
of emissions by income group and region was based on ‘territorial’
emissions (those emitted within a country’s borders) — these are termed
‘production-based’ and are the metrics by which emissions are commonly
reported. However, these emissions do not account for traded goods (for
which CO
2 was emitted for their production). If a country is a
large importer of goods its production-based emissions would
underestimate the emissions required to support its standard of living.
Conversely, if a country is a large goods exporter, it includes
emissions within its accounts which are ultimately exported for use or
consumption elsewhere.
‘Consumption-based’ emissions
correct for this by adjusting for trade. Consumption-based emissions are therefore: (production-based emissions – embedded CO
2
in exported goods + embedded CO2 in imported goods). The Global Carbon
Project (GCP) publishes estimates of these adjustments in their carbon
budget.
21 You can find much more information and data on emissions in trade in our full entry
here.
How
do consumption-based emissions change the emission shares by income
group and region? In the table I compare each group’s share of the world
population, production- and consumption-based CO
2 emissions.
On
a production basis we had previously found that the richest (high and
upper-middle income) countries in the world accounted for half of the
population but 86 percent of emissions.
22
On a consumption basis we find the same result, but resulting from the
fact that upper-middle income countries primarily export emissions to
high income countries. High income countries’ collective emissions
increase from 39 to 46 percent when adjusted for trade (with only 16
percent of the population); upper-middle income countries’ emissions
decrease by the same amount (7 percentage points) from 48 to 41 percent.
Overall, this balances out in the top half of the world population:
upper-middle income countries are net exporters whilst high income net
importers.
In the bottom half, it appears that very little changes
for the collective of lower-middle and low income countries: their
production and consumption emissions shares are effectively the same.
By
region we see that traded emissions tend to flow from Asia to North
America and Europe (Asia’s share reduces when adjusted for trade whilst
North America and Europe’s share increases).
Note here that
consumption-based emissions are not available for all countries.
Collectively, countries without consumption-based estimates due to poor
data availability account for approximately 3 percent of global
emissions. Many of the missing countries are at low and lower-middle
incomes. With the addition of these countries, we would expect small
percentage point shifts across the distribution. The challenges in
accounting for carbon embedded in global trade
23
mean these estimates are not perfect; nonetheless they should provide a
good approximation of the global transfers across the world.
On a
consumption basis, high-income countries (Europe and North America in
particular) account for an even larger share of global emissions (46
percent — nearly three times their population share of 16 percent).
Other greenhouse gas emissions
Previous charts in this article focused on emissions of carbon
dioxide. But carbon dioxide is not the only greenhouse gas There are a
range of greenhouse gases, which include methane, nitrous oxide, and a
range of smaller concentration trace gases such as the so-called group
of ‘F-gases’.
This chart shows total greenhouse gas emissions – measured in tonnes of ‘carbon dioxide-equivalents’.
Global warming potential of greenhouse gases
Carbon
dioxide is not the only greenhouse gas. There are a range of greenhouse
gases, which include methane, nitrous oxide, and a range of smaller
concentration trace gases such as the so-called group of ‘F-gases’.
Greenhouse
gases vary in their relative contributions to global warming; i.e. one
tonne of methane does not have the same impact on warming as one tonne
of carbon dioxide. We define these differences using a metric called
‘Global Warming Potential’ (GWP). GWP can be defined on a range of
time-periods, however the most commonly used (and that adopted by the
IPCC) is the 100-year timescale (GWP
100).
24
In the chart we see the GWP
100 value of key greenhouse gases relative to carbon dioxide. The GWP
100
metric measures the relative warming impact one molecule or unit mass
of a greenhouse gas relative to carbon dioxide over a 100-year
timescale. For example, one tonne of methane would have 28 times the
warming impact of tonne of carbon dioxide over a 100-year period. GWP
100 values are used to combine greenhouse gases into a single metric of emissions called carbon dioxide equivalents (CO
2e). CO
2e is derived by multiplying the mass of emissions of a specific greenhouse gas by its equivalent GWP
100 factor. The sum of all gases in their CO
2e form provide a measure of total greenhouse gas emissions.
Methane emissions
This interactive shows methane (CH₄) emissions across the world.
Methane emissions are measured in tonnes of carbon dioxide equivalent (CO
2e), so are weighted for its 100-year global warming potential value.
Nitrous oxide emissions
This interactive shows nitrous oxide (N
2O) emissions across the world.
Nitrous oxide emissions are measured in tonnes of carbon dioxide equivalent (CO
2e), so are weighted for its 100-year global warming potential value.
Emissions by sector
Global
greenhouse gas emissions are broken down by sectoral sources in the
sections which follow (showing carbon dioxide, methane and nitrous oxide
individually, as well as collectively as total greenhouse gas terms).
This data is based on UN reported figures, sourced from the EDGAR
database. Sources define sectoral emissions groupings in the following
way
25:
- Energy
(energy, manufacturing and construction industries and fugitive
emissions): emissions are inclusive of public heat and electricity
production; other energy industries; fugitive emissions from solid
fuels, oil and gas, manufacturing industries and construction.
- Transport: domestic aviation, road transportation, rail transportation, domestic navigation, other transportation.
- International bunkers: international aviation; international navigation/shipping.
- Residential, commercial, institutional and AFF: Residential and other sectors.
- Industry
(industrial processes and product use): production of minerals,
chemicals, metals, pulp/paper/food/drink, halocarbons, refrigeration and
air conditioning; aerosols and solvents; semicondutor/electronics
manufacture; electrical equipment.
- Waste: solid waste disposal; wastewater handling; waste incineration; other waste handling.
- Agriculture:
methane and nitrous oxide emissions from enteric fermentation; manure
management; rice cultivation; synthetic fertilizers; manure applied to
soils; manure left on pasture; crop residues; burning crop residues,
savanna and cultivation of organic soils.
- Land use: emissions from the net conversion of forest; cropland; grassland and burning biomass for agriculture or other uses.
- Other sources: fossil fuel fires; indirect nitrous oxide from non-agricultural NOx and ammonia; other anthropogenic sources.
Greenhouse gas emissions by sector
Methane (CH₄) emissions by sector
Carbon dioxide (CO2) emissions by sector
Nitrous oxide (N2O) emissions by sector
Future emissions
Future emissions scenarios
What does the future of our carbon dioxide and greenhouse gas
emissions look like. In the visualization we show a range of potential
future scenarios of global greenhouse gas emissions (measured in
gigatonnes of carbon dioxide equivalents), based on data from
Climate Action Tracker. Interactive data of these pathways can be
found here. Here, five scenarios are shown:
- No climate policies: projected future emissions
if no climate policies were implemented; this would result in an
estimated 4.1-4.8°C warming by 2100 (relative to pre-industrial
temperatures)
- Current climate policies: projected warming of 3.1-3.7°C by 2100 based on current implemented climate policies
- National pledges:
if all countries achieve their current targets/pledges set within the
Paris climate agreement, it’s estimated average warming by 2100 will be
2.6-3.2°C. This will go well beyond the overall target of the Paris
Agreement to keep warming “well below 2°C”.
- 2°C consistent:
there are a range of emissions pathways that would be compatible with
limiting average warming to 2°C by 2100. This would require a
significant increase in ambition of the current pledges within the Paris
Agreement.
- 1.5°C consistent: there are a range
of emissions pathways that would be compatible with limiting average
warming to 1.5°C by 2100. However, all would require a very urgent and
rapid reduction in global greenhouse gas emissions.
1.5°C emissions pathways
What would it take to limit global average temperature rise to 1.5°C?
Robbie Andrew, senior researcher at the
Center for International Climate Research
(CICERO), mapped out the global emissions reduction scenarios necessary
to limit global average warming to 1.5°C. Robbie Andrew’s description
of this work, visualizations and open-access data is available
here.
These
‘mitigation curves’ are based on the carbon budget outlined in the
IPCC’s Special Report on 1.5°C and the methodology for converting a
cumulative carbon budget into annual quotas from Michael Raupach,
publish in
Nature Climate Change.
26,27 These mitigation curves are based on the assumption of zero negative emissions (actively removing CO
2 from the atmosphere).
The
visualization here shows the range of mitigation curves necessary to
have a >66% chance of limiting warming to 1.5°C. We first see global
emissions to date – sourced from the
Global Carbon Project
– shown in black. Then, shown are the range of mitigation curves which
would be necessary if mitigation (here meaning a near-immediate peak in
global emissions then reduction) started in any given year. For example,
the curve ‘Start in 2005’ shows the necessary emissions curve if
mitigation had started in 2005.
What becomes clear is that the
later the peak in emissions, the steeper the curve: the longer we wait,
the more rapid emissions reductions need to be.
If emissions had
peaked around 2000, for example, global emissions would have had to fall
at an average of around 3% per year. As of 2019, we can only emit
around 340Gt CO
2 before we exceed the 1.5°C budget – this is equal to around 8 years of current emissions.
28,29
If we peaked emissions today, we would have to reduce emissions by
around 15% each year through to 2040 to limiting warming to 1.5°C
without negative emissions technologies.
2°C emissions pathways
In
the section above we looked at the emissions reductions necessary to
limit warming to 1.5°C. How does this change when we extend the carbon
budget to one which limits warming to 2°C?
Robbie Andrew, senior researcher at the
Center for International Climate Research (CICERO) also mapped out the mitigation curves for a 2°C target.
30
In the visualization we see the various emissions scenarios to achieve 2°C depending on the year that global emissions peak.
We
see that the same principle applies as for 1.5°C: the later we wait to
peak global emissions, the more drastic reductions will need to be.
As explained by Zeke Hausfather in the
Carbon Brief,
if we’d started global mitigation in 2000, the required rate of
reduction would have been around 1 to 2% per year. If we peaked
emissions in 2019 it would require reductions of 4 to 5% every year to
limit warming to 2°C without negative emissions technologies.
Atmospheric GHG concentrations
CO2 concentrations
The large growth in global CO
2 emissions has had a significant impact on the concentrations of CO
2 in Earth’s atmosphere. If we look at atmospheric concentrations
over the past 2000 years
(see the Data Quality and Measurement section in this entry for
explanation on how we estimate historical emissions), we see that levels
were fairly stable at 270-285 parts per million (ppm) until the 18
th century. Since the Industrial Revolution, global CO
2 concentrations have been increasing rapidly.
If
we look even longer-term – greater than 800,000 years into the past –
we see that today’s concentrations are the highest they’ve been for at
least 800,000 years.
31 The cycles of peaks and troughs in CO
2 concentrations track the cycles of ice ages (low CO
2) and warmer interglacials (higher CO
2). CO
2 concentrations did not exceed 300ppm throughout these cycles – today it is well over 400ppm.
Atmospheric concentrations continue to rise, as shown here. Atmospheric concentrations have now broken the 400ppm threshold—
considered its highest level in the last three million years. To begin to stabilise—or even reduce—atmospheric CO
2 concentrations, our emissions need to not only stabilise but also decrease significantly.
Even if the world achieved a stabilization in CO
2 emissions, this would not translate into the same for atmospheric concentrations. This is because CO
2 accumulates in the atmosphere based on what we call a ‘residence time’. Residence time is the time required for emitted CO
2 to be removed from the atmosphere through natural processes in Earth’s carbon cycle. The length of this time can vary—some CO
2
is removed in less than 5 years through fast cycling processes,
meanwhile other processes, such as absorption through land vegetation,
soils and cycling into the deep ocean can take hundreds to thousands of
years. If we stopped emitting CO
2 today, it would take several hundred years before the majority of human emissions were removed from the atmosphere.
32
CH4 concentrations
N2O concentrations
CO2 emissions and prosperity
Historically, CO
2 emissions
have been primarily driven by increasing fuel consumption. This energy
driver has been, and continues to be, a fundamental pillar of
economic growth and
poverty alleviation. As a result, we see in the visualization that there is a strong correlation between per capita CO
2 emissions and GDP per capita.
This correlation is also present over time: Countries begin in the bottom-left of the chart at low CO
2
and low GDP, and move upwards and to the right. Historically, where
fossil fuels are the dominant form of energy, we therefore see increased
CO
2 emissions as an unintended consequence of development and economic prosperity.
While we see this general relationship between CO
2
and GDP, there are outliers in this correlation, and important
differences exist in the rate with which per capita emissions have been
growing.
These differences are exemplified in global inequalities in energy provision, CO
2 emissions, and economic disparities. In the chart we see the change in CO
2 emissions (i.e. the growth rates) over the last few decades (1998-2013) across the global spectrum of emitters.
On
the x-axis we have the spectrum of global emitters (where those at the
far left have very low per capita emissions, and those at the far right
have the world’s highest per capita emissions). On the y-axis we have
the growth (in %) in CO
2 emissions that each segment of
emitters has undergone from 1998-2013. We see that the middle of the
spectrum—typically those near the middle of the global income
spectrum—have experienced a large growth in CO
2 emissions
over the last few decades (most between 25-40%). Insofar as emissions
are a correlate of development, this is good news and reflects the fact
that a
global middle class is developing, but it does present important challenges in terms of global CO
2 emissions.
It
is therefore concerning that at the bottom of the spectrum (the group
of people of whom many are part of the world’s poorer population) have
seen a 12%
decline in CO
2 emissions over this same
period. While a decline in emissions is necessary and possible for
individuals with high per capita emissions, for the poorest, this
potentially suggests stagnation or decline in living conditions.
Not only cross-country inequalities in CO
2 emissions are important—there are also noticeable within-country inequalities. In fact, as the global inequalities in CO
2
emissions between countries begin to converge, within-country
inequalities become more important. As the chart here shows, in 1998
two-thirds of inequality in CO
2 emissions were due to
between-country differences. Within-country differences then became more
important, and by 2013, within and between-country differences were
responsible for roughly the same share of total inequalities.
Growth rate in CO2 emissions (from 1998-2013) across the spectrum of global emitters33
Levels of CO2 inequality between and within countries34
CO2 and poverty alleviation
The link between economic growth and CO
2 described above raises an important question: do we actually want the emissions of low-income countries to
grow
despite trying to reduce global emissions? In our historical and
current energy system (which has been primarily built on fossil fuels),
CO
2 emissions have been an almost unavoidable consequence of the energy access necessary for development and poverty alleviation.
In the two charts we see per capita CO
2
emissions, and energy use per capita (both on the y-axes),
plotted against the share of the population living in extreme poverty
(%) on the x-axis. In general, we see a very similar correlation in both
CO
2 and energy: higher emissions and energy access are
correlated to lower levels of extreme poverty. Energy access is
therefore an essential component in improved living standards and
poverty alleviation.
35
In an ideal world, this energy could be provided through 100% renewable energy: in such a world, CO
2
emissions could be an avoidable consequence of development. However,
currently we would expect that some of this energy access will have to
come from fossil fuel consumption (although potentially with a higher
mix of renewables than older industrial economies). Therefore, although
the global challenge is to reduce emissions, some growth in per capita
emissions from the world’s poorest countries remains a sign of progress
in terms of changing living conditions and poverty alleviation.
CO2 intensity of economies
If economic growth is historically linked to growing CO
2 emissions, why do countries have differing levels of per capita CO
2 emissions
despite having similar GDP per capita levels? These differences are captured by the differences in the
CO2 intensity of economies; CO
2 intensity measures the amount of CO
2 emitted per unit of GDP (kgCO
2 per int-$). There are
two key variables which can affect the CO
2 intensity of an economy:
- Energy
efficiency: the amount of energy needed for one unit of GDP output.
This is often related to productivity and technology efficiency, but can
also be related to the type of economic activity underpinning output.
If a country’s economy transitions from manufacturing to service-based output, less energy is needed in production, therefore less energy is used per unit of GDP.
- Carbon efficiency: the amount of CO2 emitted per unit energy (grams of CO2
emitted per kilowatt-hour). This is largely related to a country’s
energy mix. An economy powered by coal-fired energy will produce higher
CO2 emissions per unit of energy versus an energy system with
a high percentage of renewable energy. As economies increase their
share of renewable capacity, efficiency improves and the amount of CO2 emitted per unit energy falls.
In the chart we see that the global CO
2 intensity has been steadily falling since 1990.
36
This is likely
thanks to both improved energy and technology efficiency, and increases in the capacity of renewables.
37
The carbon intensity of nearly all national economies has also fallen
in recent decades. Today, we see the highest intensities in Asia,
Eastern Europe, and South Africa. This is likely to be a compounded
effect of coal-dominated energy systems and heavily industrialized
economies. The shift in industrial production from high-income to
transitioning economies, and its impact on CO
2 emissions, is discussed in the next section.
CO2 intensity and prosperity
As
seen in the section above, the general trend in carbon intensity at the
global and national level is a downward trend over time. But how do
levels of CO
2 intensity change across different levels of prosperity?
In
the chart we have plotted average carbon intensities by country
(y-axis) against gross domestic product (GDP) per capita (x-axis, log
scale). As a cross-section across countries in any given year, we see an
overall shape akin to an inverted-U. On average, we see low carbon
intensities at low incomes; carbon intensity rises as countries
transition from low-to-middle incomes, especially in rapidly growing
industrial economies; and as countries move towards higher incomes,
carbon intensity falls again.
This trend is approximately true as a
cross-section across countries. However, such trends differ for
individual countries over time. If we view these trends over the
timeline from 1990 onwards we see that there are large variations in the
evolution of carbon intensities, even for countries with similar income
levels.
The cost of global CO2 mitigation
With an understanding of the link between CO
2 and global
temperatures, as well as knowledge of the sources of emissions, an
obvious question arises: How much could we reduce our emissions by, and
how much would it cost? The possible cost-benefit of taking global and
regional action on climate change is often a major influencing factor on
the effectiveness of mitigation agreements and measures. How we work
out the potential costs of global climate change mitigation has been
covered in an explainer post
here.
Definitions & Measurement
How do we reconstruct long-term CO2 concentrations?
In more recent years, global concentrations of CO
2
can be measured directly in the atmosphere using instrumentation sensor
technology. The longest and most well-known records from direct CO
2 measurement comes from the
Mauna Loa Observatory (MLO) in Hawaii. The MLO has been measuring atmospheric composition since the 1950s, providing the clearest record of CO
2 concentrations across the 20th and 21st century.
To reconstruct long-term CO
2
concentrations, we have to rely on a number of geological and chemical
analogues which record changes in atmospheric composition through
time. The process of ice-coring allows for the longest extension of
historical CO
2 records, extending back 800,000 years. The most famous ice core used for historical reconstructions is the
Vostok Ice Core in Antarctica. This core extends back 420,000 years and covers four glacial-interglacial periods.
Ice
cores provide a preserved record of atmospheric compositions—with each
layer representing a date further back in time. These can extend as deep
at 3km. Ice cores preserve tiny bubbles of air which provide a snapshot
of the atmospheric composition of a given period. Using chemical dating
techniques (such as isotopic dating) researchers relate time periods to
depths through an ice core. If
Looking at the Vostok Ice Core, researchers can say that the section of core 500m deep was formed approximately 30,000 years ago. CO
2 concentration
sensors can then be used to measure the concentration in air bubbles at
500m depth—this was approximately 190 parts per million. Combining
these two methods, researchers estimate that 30,000 years ago, the CO
2
concentration was 190ppm. Repeating this process across a range of
depths, the change through time in these concentrations can be
reconstructed.
How do we measure or estimate CO2 emissions?
Historical fossil fuel CO
2
emissions can be reconstructed back to 1751 based on energy statistics.
These reconstructions detail the production quantities of various forms
of fossil fuels (coal, brown coal, peat and crude oil), which when
combined with trade data on imports and exports, allow for
national-level reconstructions of fossil fuel production and resultant
CO
2 emissions. More recent energy statistics are sourced from
the UN Statistical Office, which compiles data from official national
statistical publications and annual questionnaires. Data on cement
production and gas flaring can also be sourced from UN data,
supplemented by data from the US Department of Interior Geological
Survey (USGS) and US Department of Energy Information Administration. A
full description of data acquisition and original sources can be found
at the
Carbon Dioxide Information Analysis Center (CDIAC).
As an example: how do we estimate Canada’s CO
2 emissions in 1900? Let’s look at the steps involved in this estimation.
- Step 1:
we gather industrial data on how much coal, brown coal, peat and crude
oil Canada extracted in 1900. This tells us how much energy it could
produce if it used all of this domestically.
- Step 2: we
cannot assume that Canada only used fuels produced domestically—it
might have imported some fuel, or exported it elsewhere. To find out how
much Canada actually burned domestically, we therefore have to
correct for this trade. If we take its domestic production (account for
any fuel it stores as stocks), add any fuel it imported, and subtract
any fuel it exported, we have an estimate of its net consumption in
1900. In other words, if we calculate: Coal extraction − Coal exported +
Coal imported − Coal stored as stocks, we can estimate the amount of
coal Canada burned in 1900.
- Step 3: converting energy produced to CO2 emissions. we know, based on the quality of coal, its carbon content and how much CO2
would be emitted for every kilogram burned (i.e. its emission factor).
Multiplying the quantity of coal burned by its emission factor, we can
estimate Canada’s CO2 emissions from coal in 1900.
- Step 4: doing this calculation for all fuel types, we can calculate Canada’s total emissions in 1900.
Providing good estimates of CO
2 emissions
requires reliable and extensive coverage on domestic and traded
energy—the international framework and monitoring of this reporting has
significantly improved through time. For this reason, our understanding
of emissions in the late 20th and 21st centuries is more reliable than
our long-term reconstructions. The Intergovernmental Panel on Climate
Change (IPCC) provide clear guidelines on methodologies and best
practice for measuring and monitoring CO
2 estimates at the national level.
38
There
are two key ways uncertainties can be introduced: the reporting of
energy consumption, and the assumption of emissions factors (i.e. the
carbon content) used for fuel burning. Since energy consumption is
strongly related to economic and trade figures (which are typically
monitored closely), uncertainties are typically low for energy
reporting. Uncertainty can be introduced in the assumptions nations make
on the correct CO
2 emission factor for certain fuel types.
Country
size and the level of uncertainty in these calculations have a
significant influence on the inaccuracy of our global emissions figures.
In the most extreme example to date, Lui et al. (2015) revealed that
China overestimated its annual emissions in 2013 by using global average
emission factors, rather than specific figures for the carbon content
of its domestic coal supply.
39
As the world’s largest CO
2
emitter, this inaccuracy had a significant impact on global emissions
estimates, resulting in a 10% overestimation. More typically,
uncertainty in global CO
2 emissions ranges between 2-5%.
40
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