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Figure 2A-9 is an example of a different kind of numerical graph. It represents information from a sample of 186 countries on the standard of living, again measured by GDP per capita, and the amount of carbon emissions per capita, a measure of environmental pollution. Each point here indicates an average resident’s standard of living and his or her annual carbon emissions for a given country.
The points lying in the upper right of the graph, which show combinations of a high standard of living and high carbon emissions, represent economically advanced countries such as the United States. (The country with the highest carbon emissions, at the top of the graph, is Qatar.) Points lying in the bottom left of the graph, which show combinations of a low standard of living and low carbon emissions, represent economically less advanced countries such as Afghanistan and Sierra Leone. The pattern of points indicates that there is a positive relationship between living standard and carbon emissions per capita: on the whole, people create more pollution in countries with a higher standard of living.
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At first glance, a comparison of the per capita greenhouse gas emissions of various countries, shown in panel (a) of this graph, suggests that Australia, Canada, and the United States are the worst offenders. The average American is responsible for 16.1 tonnes of greenhouse gas emissions (measured in carbon dioxide, CO2 , equivalents)—the pollution that causes climate change—compared to only 3.9 tonnes for the average Uzbek, 6.7 tonnes for the average Chinese, and 1.8 tonnes for the average Indian. (A tonne, also called a metric ton, equals 1.10 ton.)
Such a conclusion, however, ignores an important factor in determining the level of a country’s greenhouse gas emissions: its gross domestic product, or GDP—the total value of a country’s domestic output. Output typically cannot be produced without more energy, and more energy usage typically results in more pollution. In fact, some have argued that criticizing a country’s level of greenhouse gases without taking account of its level of economic development is misguided. It would be equivalent to faulting a country for being at a more advanced stage of economic development. A more meaningful way to compare pollution across countries is to measure emissions per $1 million of a country’s GDP, as shown in panel (b). On this basis, the United States, Canada, and Australia are now “green” countries, but China, India, and Uzbekistan are not. What explains the reversal once GDP is accounted for? The answer is scarce resources. Countries that are poor, such as Uzbekistan and India (and, historically, China), have viewed resources spent on pollution reduction as better spent on other things. They have argued that they are too poor to afford the same environmental priorities as wealthy advanced countries. To impose a wealthy country’s environmental standards on them would, they claimed, jeopardize their economic growth. However, the scientific evidence pointing to greenhouse gases as the cause of climate change and the falling price of non-polluting energy sources has changed attitudes in poorer countries. Realizing that their citizens are likely to suffer disproportionately more from climate change, poor countries joined forces with rich countries to sign the Paris Agreement in 2015, an agreement between 196 countries to limit their greenhouse gas emissions in order to avoid the adverse effects of climate change.