This article relies largely or entirely on a single source .(June 2023) |
The following list of countries by carbon intensity of GDP sorts countries by their emission intensity. Carbon intensity or emission intensity of GDP is a measure that evaluates the amount of carbon dioxide (CO2) emissions produced per unit of GDP. It provides an indication of how efficiently an economy uses carbon-based resources to generate economic output. A lower carbon intensity indicates that less CO2 is emitted to produce a given level of economic output, indicating a more carbon-efficient economy.
Countries by carbon intensity of GDP. Carbon intensity is measured by CO2 emissions in kilograms per International dollar (US dollar adjusted for purchasing power parity) of economic output. [1] Data are for the year 2018.
Rank | Country | CO2 kg/$ |
---|---|---|
1 | North Korea | 1.18 |
2 | Trinidad and Tobago | 1.16 |
3 | Mongolia | 1.09 |
4 | Kazakhstan | 0.72 |
5 | South Africa | 0.65 |
6 | China | 0.57 |
7 | Libya | 0.54 |
8 | Ukraine | 0.54 |
9 | Bosnia and Herzegovina | 0.53 |
10 | Syria | 0.53 |
11 | Bahrain | 0.52 |
12 | Zimbabwe | 0.52 |
13 | Turkmenistan | 0.52 |
14 | Estonia | 0.51 |
15 | Iran | 0.50 |
16 | Russia | 0.47 |
17 | Serbia | 0.44 |
18 | Lesotho | 0.44 |
19 | Laos | 0.44 |
20 | Oman | 0.42 |
21 | Jamaica | 0.42 |
22 | Iraq | 0.42 |
23 | Vietnam | 0.41 |
24 | Kyrgyzstan | 0.38 |
25 | Saudi Arabia | 0.37 |
26 | Barbados | 0.37 |
27 | Kuwait | 0.35 |
28 | Canada | 0.35 |
29 | Belarus | 0.35 |
30 | Uzbekistan | 0.35 |
31 | Malaysia | 0.35 |
32 | South Korea | 0.34 |
33 | Australia | 0.34 |
34 | Venezuela | 0.33 |
35 | Bulgaria | 0.33 |
36 | Czech Republic | 0.33 |
37 | Poland | 0.32 |
38 | Bolivia | 0.31 |
39 | United States | 0.30 |
40 | Algeria | 0.29 |
41 | India | 0.29 |
42 | Saint Lucia | 0.29 |
43 | Greece | 0.29 |
44 | United Arab Emirates | 0.29 |
45 | Benin | 0.28 |
46 | Mauritania | 0.28 |
47 | Liberia | 0.27 |
48 | Luxembourg | 0.27 |
49 | Taiwan | 0.27 |
50 | Lebanon | 0.27 |
51 | Senegal | 0.26 |
52 | Cyprus | 0.26 |
53 | Equatorial Guinea | 0.26 |
54 | Turkey | 0.26 |
55 | Macedonia | 0.25 |
56 | Thailand | 0.25 |
57 | Slovakia | 0.25 |
58 | Cuba | 0.24 |
59 | Cambodia | 0.24 |
60 | Dominica | 0.24 |
61 | Mozambique | 0.24 |
62 | Slovenia | 0.24 |
63 | Iceland | 0.24 |
64 | Tajikistan | 0.24 |
65 | Jordan | 0.24 |
66 | Qatar | 0.24 |
67 | Mexico | 0.24 |
68 | Japan | 0.23 |
69 | Moldova | 0.23 |
70 | Tunisia | 0.23 |
71 | Republic of the Congo | 0.22 |
72 | Belgium | 0.22 |
73 | Ecuador | 0.22 |
74 | Argentina | 0.22 |
75 | Honduras | 0.22 |
76 | Israel | 0.22 |
77 | Azerbaijan | 0.22 |
78 | Seychelles | 0.22 |
79 | Finland | 0.21 |
80 | Morocco | 0.21 |
81 | Botswana | 0.21 |
82 | New Zealand | 0.21 |
83 | Croatia | 0.21 |
84 | Romania | 0.21 |
85 | Comoros | 0.21 |
86 | Chile | 0.20 |
87 | Montenegro | 0.20 |
88 | Egypt | 0.20 |
89 | Hungary | 0.20 |
90 | Indonesia | 0.20 |
91 | Germany | 0.19 |
92 | Netherlands | 0.19 |
93 | Guinea | 0.19 |
94 | Portugal | 0.19 |
95 | Togo | 0.19 |
96 | Nepal | 0.18 |
97 | Spain | 0.18 |
98 | Haiti | 0.18 |
99 | Namibia | 0.18 |
100 | Lithuania | 0.18 |
101 | Armenia | 0.17 |
102 | Austria | 0.17 |
103 | Sao Tome and Principe | 0.17 |
104 | Nicaragua | 0.17 |
105 | Georgia | 0.17 |
106 | Pakistan | 0.17 |
107 | Italy | 0.17 |
108 | Latvia | 0.17 |
109 | Mauritius | 0.16 |
110 | Gabon | 0.16 |
111 | Brazil | 0.16 |
112 | Afghanistan | 0.16 |
113 | Burkina Faso | 0.16 |
114 | Dominican Republic | 0.16 |
115 | Philippines | 0.16 |
116 | Yemen | 0.15 |
117 | Gambia | 0.15 |
118 | Cape Verde | 0.15 |
119 | United Kingdom | 0.15 |
120 | Albania | 0.15 |
121 | Guatemala | 0.15 |
122 | Ghana | 0.14 |
123 | Peru | 0.14 |
124 | Mali | 0.13 |
125 | Djibouti | 0.13 |
126 | Angola | 0.13 |
127 | Denmark | 0.13 |
128 | Paraguay | 0.13 |
129 | Cameroon | 0.13 |
130 | Panama | 0.13 |
131 | France | 0.12 |
132 | Ireland | 0.12 |
133 | Palestine | 0.12 |
134 | Zambia | 0.12 |
135 | Bangladesh | 0.12 |
136 | Swaziland | 0.12 |
137 | El Salvador | 0.12 |
138 | Hong Kong | 0.11 |
139 | Guinea-Bissau | 0.11 |
140 | Costa Rica | 0.11 |
141 | Singapore | 0.11 |
142 | Myanmar | 0.11 |
143 | Kenya | 0.10 |
144 | Madagascar | 0.10 |
145 | Côte d'Ivoire | 0.10 |
146 | Nigeria | 0.10 |
147 | Malta | 0.10 |
148 | Norway | 0.10 |
149 | Sierra Leone | 0.10 |
150 | Uruguay | 0.10 |
151 | Burundi | 0.09 |
152 | Sweden | 0.09 |
153 | Niger | 0.09 |
154 | Sri Lanka | 0.08 |
155 | Ethiopia | 0.08 |
156 | Tanzania | 0.07 |
157 | Malawi | 0.07 |
158 | Switzerland | 0.07 |
159 | Uganda | 0.07 |
160 | Chad | 0.06 |
161 | Central African Republic | 0.06 |
162 | Rwanda | 0.06 |
163 | DR Congo | 0.03 |
Region | CO2 kg/$ |
---|---|
Asia | 0.38 |
Oceania | 0.33 |
World | 0.32 |
North America | 0.29 |
Europe | 0.23 |
Africa | 0.23 |
South America | 0.18 |
Income group | CO2 kg/$ |
---|---|
Upper-middle-income countries | 0.44 |
Lower-middle-income countries | 0.26 |
High income countries | 0.25 |
Low-income countries | 0.21 |
Development of CO2 emissions in kilograms per international dollar of economic output in major countries over time. [1]
Country | 1820 | 1850 | 1900 | 1950 | 1970 | 1980 | 1990 | 2000 | 2010 | 2018 | 1950–2018 (change) |
---|---|---|---|---|---|---|---|---|---|---|---|
Argentina | 0.10 | 0.22 | 0.30 | 0.29 | 0.33 | 0.27 | 0.24 | 0.22 | −1% | ||
Australia | 0.42 | 0.56 | 0.61 | 0.66 | 0.60 | 0.51 | 0.41 | 0.34 | −40% | ||
Bangladesh | 0.03 | 0.06 | 0.10 | 0.13 | 0.13 | 0.13 | 0.12 | +376% | |||
Belgium | 0.71 | 1.24 | 1.01 | 0.77 | 0.59 | 0.44 | 0.37 | 0.28 | 0.22 | −78% | |
Brazil | 0.12 | 0.16 | 0.21 | 0.18 | 0.18 | 0.20 | 0.16 | 0.16 | −2% | ||
Canada | 0.81 | 0.95 | 0.82 | 0.70 | 0.55 | 0.50 | 0.40 | 0.35 | −63% | ||
China | 0.18 | 0.71 | 0.79 | 0.73 | 0.61 | 0.67 | 0.57 | +216% | |||
France | 0.05 | 0.21 | 0.69 | 0.58 | 0.49 | 0.39 | 0.24 | 0.20 | 0.16 | 0.12 | −78% |
Germany | 0.09 | 0.20 | 1.26 | 1.21 | 0.76 | 0.62 | 0.52 | 0.33 | 0.25 | 0.19 | −84% |
India | 0.04 | 0.17 | 0.24 | 0.29 | 0.33 | 0.35 | 0.32 | 0.29 | +71% | ||
Indonesia | 0.02 | 0.09 | 0.16 | 0.22 | 0.20 | 0.24 | 0.22 | 0.20 | +111% | ||
Italy | 0.13 | 0.16 | 0.36 | 0.33 | 0.30 | 0.25 | 0.21 | 0.17 | +7% | ||
Japan | 0.21 | 0.40 | 0.48 | 0.38 | 0.31 | 0.30 | 0.27 | 0.23 | −41% | ||
Mexico | 0.04 | 0.31 | 0.31 | 0.39 | 0.38 | 0.32 | 0.28 | 0.24 | −22% | ||
Netherlands | 0.54 | 0.53 | 0.57 | 0.53 | 0.39 | 0.28 | 0.25 | 0.19 | −63% | ||
Nigeria | 0.06 | 0.22 | 0.44 | 0.23 | 0.29 | 0.14 | 0.10 | +68% | |||
Pakistan | 0.13 | 0.21 | 0.20 | 0.23 | 0.23 | 0.19 | 0.17 | +28% | |||
Philippines | 0.10 | 0.23 | 0.19 | 0.18 | 0.22 | 0.15 | 0.16 | +55% | |||
Poland | 1.16 | 1.32 | 1.42 | 1.21 | 0.65 | 0.42 | 0.32 | −72% | |||
Russia | 1.20 | 1.25 | 1.38 | 0.96 | 0.52 | 0.47 | −65% | ||||
Saudi Arabia | 0.37 | 0.61 | 0.80 | 0.91 | 0.61 | 0.45 | 0.37 | −0% | |||
South Africa | 1.11 | 1.02 | 1.11 | 1.33 | 1.11 | 0.80 | 0.65 | −42% | |||
South Korea | 0.10 | 0.56 | 0.58 | 0.42 | 0.41 | 0.38 | 0.34 | +226% | |||
Spain | 0.23 | 0.34 | 0.36 | 0.41 | 0.31 | 0.28 | 0.19 | 0.18 | −47% | ||
Sweden | 0.54 | 0.38 | 0.57 | 0.36 | 0.24 | 0.18 | 0.13 | 0.09 | −76% | ||
Switzerland | 0.26 | 0.19 | 0.27 | 0.23 | 0.19 | 0.14 | 0.10 | 0.07 | −63% | ||
United Kingdom | 0.61 | 1.04 | 1.34 | 0.90 | 0.68 | 0.50 | 0.40 | 0.30 | 0.23 | 0.15 | −83% |
United States | 0.03 | 0.23 | 1.08 | 1.10 | 0.88 | 0.71 | 0.55 | 0.46 | 0.37 | 0.30 | −73% |
Vietnam | 0.06 | 0.56 | 0.26 | 0.19 | 0.24 | 0.34 | 0.41 | +645% |
Energy intensity is a measure of the energy inefficiency of an economy. It is calculated as units of energy per unit of GDP or some other measure of economic output. High energy intensities indicate a high price or cost of converting energy into GDP. On the other hand, Low energy intensity indicates a lower price or cost of converting energy into GDP.
An emission intensity is the emission rate of a given pollutant relative to the intensity of a specific activity, or an industrial production process; for example grams of carbon dioxide released per megajoule of energy produced, or the ratio of greenhouse gas emissions produced to gross domestic product (GDP). Emission intensities are used to derive estimates of air pollutant or greenhouse gas emissions based on the amount of fuel combusted, the number of animals in animal husbandry, on industrial production levels, distances traveled or similar activity data. Emission intensities may also be used to compare the environmental impact of different fuels or activities. In some case the related terms emission factor and carbon intensity are used interchangeably. The jargon used can be different, for different fields/industrial sectors; normally the term "carbon" excludes other pollutants, such as particulate emissions. One commonly used figure is carbon intensity per kilowatt-hour (CIPK), which is used to compare emissions from different sources of electrical power.
A carbon footprint (or greenhouse gas footprint) is a calculated value or index that makes it possible to compare the total amount of greenhouse gases that an activity, product, company or country adds to the atmosphere. Carbon footprints are usually reported in tonnes of emissions (CO2-equivalent) per unit of comparison. Such units can be for example tonnes CO2-eq per year, per kilogram of protein for consumption, per kilometer travelled, per piece of clothing and so forth. A product's carbon footprint includes the emissions for the entire life cycle. These run from the production along the supply chain to its final consumption and disposal.
Greenhouse gas inventories are emission inventories of greenhouse gas emissions that are developed for a variety of reasons. Scientists use inventories of natural and anthropogenic (human-caused) emissions as tools when developing atmospheric models. Policy makers use inventories to develop strategies and policies for emissions reductions and to track the progress of those policies.
Greenhouse gas (GHG) emissions from human activities intensify the greenhouse effect. This contributes to climate change. Carbon dioxide, from burning fossil fuels such as coal, oil, and natural gas, is one of the most important factors in causing climate change. The largest emitters are China followed by the United States. The United States has higher emissions per capita. The main producers fueling the emissions globally are large oil and gas companies. Emissions from human activities have increased atmospheric carbon dioxide by about 50% over pre-industrial levels. The growing levels of emissions have varied, but have been consistent among all greenhouse gases. Emissions in the 2010s averaged 56 billion tons a year, higher than any decade before. Total cumulative emissions from 1870 to 2017 were 425±20 GtC from fossil fuels and industry, and 180±60 GtC from land use change. Land-use change, such as deforestation, caused about 31% of cumulative emissions over 1870–2017, coal 32%, oil 25%, and gas 10%.
China is both the world's largest energy consumer and the largest industrial country, and ensuring adequate energy supply to sustain economic growth has been a core concern of the Chinese Government since the founding of the People's Republic of China in 1949. Since the country's industrialization in the 1960s, China is currently the world's largest emitter of greenhouse gases, and coal in China is a major cause of global warming. However, from 2010 to 2015 China reduced energy consumption per unit of GDP by 18%, and CO2 emissions per unit of GDP by 20%. On a per-capita basis, China was only the world's 51st largest emitter of greenhouse gases in 2016. China is also the world's largest renewable energy producer, and the largest producer of hydroelectricity, solar power and wind power in the world. The energy policy of China is connected to its industrial policy, where the goals of China's industrial production dictate its energy demand managements.
The Kaya identity is a mathematical identity stating that the total emission level of the greenhouse gas carbon dioxide can be expressed as the product of four factors: human population, GDP per capita, energy intensity, and carbon intensity. It is a concrete form of the more general I = PAT equation relating factors that determine the level of human impact on climate. Although the terms in the Kaya identity would in theory cancel out, it is useful in practice to calculate emissions in terms of more readily available data, namely population, GDP per capita, energy per unit GDP, and emissions per unit energy. It furthermore highlights the elements of the global economy on which one could act to reduce emissions, notably the energy intensity per unit GDP and the emissions per unit energy.
The climate policy of China is to peak its greenhouse gas emissions before 2030 and to be carbon neutral before 2060. Due to the large buildout of solar power in China and burning of coal in China the energy policy of China is closely related to its climate policy. There is also policy to adapt to climate change. Ding Xuexiang represented China at the 2023 United Nations Climate Change Conference in 2023, and may be influential in setting climate policy.
Climate change is having major effects on the Chinese economy, society and the environment. China is the largest emitter of carbon dioxide, through an energy infrastructure heavily focused on coal. Other industries, such as a burgeoning construction industry and industrial manufacturing, contribute heavily to carbon emissions. However, like other developing countries, on a per-capita basis, China's carbon emissions are considerably less than countries like the United States. It has also been noted that higher-income countries have outsourced emissions-intensive industries to China. On the basis of cumulative CO2 emissions measured from 1751 through to 2017, China is responsible for 13% globally and about half of the United States' cumulative emissions. China is now the world's largest polluter and in 2023 recorded it's hottest year on record with an average temperature of 10.7 C.
China Beijing Environmental Exchange (CBEEX) is a corporate domestic and international environmental equity public trading platform initiated by the China Beijing Equity Exchange (CBEX) and authorized by the Beijing municipal government.
The economics of climate change mitigation is a contentious part of climate change mitigation – action aimed to limit the dangerous socio-economic and environmental consequences of climate change.
The Kyoto Protocol was an international treaty which extended the 1992 United Nations Framework Convention on Climate Change. A number of governments across the world took a variety of actions.
In economic and environmental fields, decoupling refers to an economy that would be able to grow without corresponding increases in environmental pressure. In many economies, increasing production (GDP) raises pressure on the environment. An economy that would be able to sustain economic growth while reducing the amount of resources such as water or fossil fuels used and delink environmental deterioration at the same time would be said to be decoupled. Environmental pressure is often measured using emissions of pollutants, and decoupling is often measured by the emission intensity of economic output.
Coal, cars and lorries vent more than a third of Turkey's six hundred million tonnes of annual greenhouse gas emissions, which are mostly carbon dioxide and part of the cause of climate change in Turkey. The nation's coal-fired power stations emit the most carbon dioxide, and other significant sources are road vehicles running on petrol or diesel. After coal and oil the third most polluting fuel is fossil gas; which is burnt in Turkey's gas-fired power stations, homes and workplaces. Much methane is belched by livestock; cows alone produce half of the greenhouse gas from agriculture in Turkey.
China's greenhouse gas emissions are the largest of any country in the world both in production and consumption terms, and stem mainly from coal burning, including coal power, coal mining, and blast furnaces producing iron and steel. When measuring production-based emissions, China emitted over 14 gigatonnes (Gt) CO2eq of greenhouse gases in 2019, 27% of the world total. When measuring in consumption-based terms, which adds emissions associated with imported goods and extracts those associated with exported goods, China accounts for 13 gigatonnes (Gt) or 25% of global emissions.