Do Developed or Developing Countries Emit More Carbon Dioxide Into the Atmosphere? A Data Management Culminating Project Presentation by Mathew Hall, Dr. G.W. Williams S.S. Aurora, Ontario Thesis Statement As the indicating factors of a country’s development increase, that country will emit more carbon dioxide into the atmosphere because of increased motor vehicle transportation, energy consumption, and urbanization. Background Information Carbon Dioxide Emissions (CO2) • Carbon dioxide is an essential gas in the Earth’s Atmosphere • It is classified as a “greenhouse gas” • Greenhouse gasses trap the suns radiation in the atmosphere, maintaining the • temperature of the Earth Carbon dioxide is second to water vapor as the leading greenhouse gas in the • • atmosphere (Greenhouse Gas 2005) Carbon dioxide levels have risen by 31% since 1895 (The Greenhouse Gasses 2004) One tonne of carbon burned 3.7 tonnes of CO2 (The Greenhouse Gasses 2004) • 22 billion tonnes of fossil fuels are burned each year (The Greenhouse Gasses 2004) Climate Change • 20th Century has had the warmest global temperature in 1000 years (The Greenhouse Gasses) • Increased temperatures cause: polar ice caps melting, increased sea level, animal habitats being destroyed, erosion of island shores, drought, and more common heat waves (Understanding Climate Change 2004) • General scientific consensus is that increased levels of CO2 are the cause of the Increase in global temperatures (Understanding Climate Change 2004) • Carbon dioxide has not been proven to be the cause, this is only an accepted theory (Understanding Climate Change 2004) Developed vs. Developing Countries • No real scale to judge development • World Bank states that a country with GDP per capita of • • under $6000 US is developing (developmentcategorizing countries 2005) United Nations uses different indicators such as: life expectancy, literacy rate, enrolment in schools, urban population levels and GDP per capita (developmentcategorizing countries 2005) In General: Developed Countries - higher GDP - more urban population Analysis Causes of CO2 Emissions Sources of Carbon Dioxide Emissions Sources of CO2 emissions • Fuel combustion Fugitive Emissions from Fuels Industrial Processes Solvent and Other Product Use Agriculture 96% Land-Use Change & Forestry Waste Fuel combustion and co2 emission data 2000 Scatter Plot 6000000 5000000 co2emissions accounts for the greatest proportion of CO2 emissions • There is an extremely strong linear correlation between total fuel emissions and CO2 emissions Fuel Combustion 4000000 3000000 2000000 1000000 0 0 1000000 2000000 3000000 4000000 totalfuelemissions co2emissions = 1.01totalfuelemissions + 3300; r^2 = 1.00 5000000 6000000 Percentage of Total Fuel Combustion CO2 Emissions by Sector 1% 14% Sources of CO2 emissions Energy Industries 39% Fuel Combustion Fugitive Emissions from Fuels Industrial Processes Solvent and Other Product Use Agriculture Manufacturing Industries and Construction Transport Other Sectors 27% Land-Use Change & Forestry Waste Other 19% • The two greatest contributors to fuel combustion CO2 emissions are transportation and energy industries Transportation CO2 Emissions (thousands of metric tonnes) Gasoline Consumption vs. CO2 Emissions 7000000 y = 13.12x + 76278 6000000 2 R = 0.7744 5000000 4000000 3000000 2000000 1000000 0 0 100000 200000 300000 400000 500000 Gasoline Consumption (millions of liters) • Fairly strong correlation between gasoline consumption and CO2 emissions • Inference: Countries that consume more gasoline will emit more CO2 Units : Millions of Liters of Gas Motor Gasoline Consumption-Developed Countries Histogram Motor Gasoline Consumption- Developing Countries 100 60 50 Count 80 Count Histogram 60 40 30 40 20 20 10 100000 200000 300000 400000 millionsoflitersgasconsumption mean ( millionsoflitersgasconsumption ) = 14698.5 median (millionsoflitersgasconsumption ) = 2067.4 500000 5000 10000 15000 20000 25000 30000 35000 40000 millionsoflitersgasconsumption mean (millionsoflitersgasconsumption ) = 3142.57 median (millionsoflitersgasconsumption ) = 585.75 • Developed countries consume more gasoline, on • • average, than developing countries Developed countries consume 2.5 times more gasoline Thesis is supported Energy Industries Total CO2 Emissions vs. Total Energy Consumption Total CO2 Emissions (thousands of Metric Tonnes) 7000000 6000000 y = 2562.1x - 23378 R2 = 0.9883 5000000 4000000 3000000 2000000 1000000 0 0 500 1000 1500 2000 2500 Total Energy Consum ption (tonnes of oil equivalent) • Very strong positive correlation between CO2 emissions and total energy consumption • 99% of the variation in CO2 emissions result from variations in energy consumption • Inference: Countries that consume more energy will emit more CO2 Energy Consumption Units: Thousand metric tonnes of oil equivalent Developed no outliers Histogram Developing no outliers 40 40 35 35 30 30 25 25 Count Count Histogram 20 20 15 15 10 10 5 5 200000 400000 600000 energyconsumption mean (energyconsumption ) = 69867.9 median ( energyconsumption ) = 24471.5 σ :Developed Countries – 123896 800000 0 40000 80000 120000 160000 energyconsumption mean (energyconsumption ) = 27951.2 median (energyconsumption ) = 10253 200000 Developing Countries - 41783 • Developed countries consume twice as much energy as developing countries on average • Developed countries are relatively inconsistent in total energy consumption • Thesis is supported Analysis Urbanization and CO2 Emissions • Urban population has a Gasoline Consumption (millions of liters) Total Urban Population vs. Gasoline Consumption 60000 50000 40000 • 30000 20000 y = 0.9038x + 2533.8 R2 = 0.5722 10000 0 0 10000 20000 30000 40000 50000 60000 Total Urban Population (thousands of people) Total Energy Consumption vs. Total Urban Population • Total Energy Consumption (tonnes of oil equivalent) 2500 2000 y = 0.0185x - 121.46 R2 = 0.8741 1500 • 1000 500 0 0 20000 40000 60000 80000 100000 120000 140000 Total Urban Population (thousands) weak positive correlation with gasoline consumption Inference: Countries with more urban populations don’t necessarily consume more gasoline Urban population has a strong correlation with energy consumption Inference: Countries with more urban population will consume more energy Total Carbon Dioxide Emissions vs. Total Urban Population Total Carbon Dioxide Emissions (thousand metric tonnes) 1800000 1600000 1400000 1200000 1000000 800000 y = 8.7483x + 302754 600000 R = 0.3415 2 400000 200000 0 0 20000 40000 60000 80000 100000 120000 140000 Total Urban Population (thousands of people) • Urban population has a very weak correlation with CO2 emissions • Inference: Having more of an urban population will not result in more CO2 emissions Energy Consumption R2=0.99 Carbon Dioxide Emissions Strong R2=0.87 Strong R2=0.34 WEAK Urban Population Developed country's urban population Histogram Developing Country's urban population 50 160 140 40 120 Count Count Histogram 30 20 100 80 60 40 10 20 0 50000 100000 150000 200000 urbanpopulation mean ( urbanpopulation ) = 15484.3 median (urbanpopulation ) = 4123 IQR: Developed Countries – 8387 250000 300000 0 100000 200000 300000 urbanpopulation mean (urbanpopulation ) = 12089 median (urbanpopulation ) = 1687.5 Developing Countries - 5816 • Developed Countries have greater urban population • • values than developing ones Developing countries have more consistency in urban population values Thesis is not supported as urban population has little impact on CO2 emissions 400000 Analysis Overall Carbon Dioxide Emissions Total CO2 Emissions Units: thousand metric tonnes Histogram developed countries 50 Histogram World CO2 emissions 180 40 Count 160 140 Count 120 30 20 100 10 80 60 1000000 2000000 40 3000000 4000000 co2emissions 5000000 6000000 mean (co2emissions ) = 276973 median ( co2emissions ) = 51321 20 1000000 2000000 3000000 4000000 CO2emissions 5000000 IQR - 159925 6000000 mean ( CO2emissions ) = 129128 median (CO2emissions ) = 8862 Histogram developing countries 140 120 • Developing countries are more consistent in CO2 emission values •Thesis is supported 100 Count • Developed countries’ CO2 emissions are higher than the world median, developing countries’ emissions are lower than the median 80 60 40 20 1000000 2000000 co2emissions mean (co2emissions ) = 70297.2 median (co2emissions ) = 3649 IQR - 29278 3000000 Units: Metric tonnes of CO2 per person Histogram 12 120 10 100 8 80 6 60 4 40 2 20 2 4 6 8 10 12 14 CO2percapita 16 mean (co2percapita ) = 7.52774 median (co2percapita ) = 7.48 IQR: Developed Countries – 5.26 18 20 Histogram developing co2per capita Count Count Developed co2 per capita 22 10 20 30 40 co2percapita mean ( co2percapita ) = 3.16147 median (co2percapita ) = 1.03 Developing Countries – 2.69 • Developed Countries emit more CO2 per capita on • • 50 average; approximately 700% more per person Developed countries are more inconsistent in CO2 per capita, and it’s distribution is more “balanced” Thesis is ultimately supported 60 Developed vs. Developing Countries’ CO2 Emissions From 1950 to 2000 Developed vs. Developing Countries Total CO2 Emissions developed countries developing countries Total CO2 Emissions (thousands of metric tonnes) 30000000 25000000 20000000 4005973 15000000 4884052 6283263 8079069 9268499 2898051 2259419 1477403 10000000 1488946 5000000 410954 701102 5377722 6554339 7661706 1950 1955 1960 9584937 14620761 14484808 14985819 14129761 14679545 12017244 13247248 0 1965 1970 1975 1980 1985 1990 1995 2000 Year • Developed countries have had a greater proportion of total CO2 emissions since 1950 • The proportion of developed countries’ CO2 emissions has been decreasing over time since 1950 • Thesis is tentatively supported Analysis GDP and CO2 Emissions Examples of Developing Countries Mexican Total GDP and Total CO2 Emissions From 1950 to 1992 Mexican CO2 Emissions vs. GDP in Millions of US Dollars Value 500,000 400,000 300,000 200,000 100,000 19 50 19 53 19 56 19 59 19 62 19 65 19 68 19 71 19 74 19 77 19 80 19 83 19 86 19 89 19 92 0 CO2 Emissions (thousands of metric tonnes) 600,000 400000 350000 y = 0.681x - 20755 R2 = 0.9823 300000 250000 200000 150000 100000 50000 0 Year 0 100,000 200,000 300,000 400,000 500,000 600,000 GDP (m illions of US dollars) GDP (millions of US dollars) CO2 Emissions (thousands of metric tonnes) Year Peru Carbon Dioxide Emissions vs. GDP Carbon Dioxide Emissions (thousand metric tonnes) 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 19 50 19 53 19 56 19 59 19 62 19 65 19 68 19 71 19 74 19 77 19 80 19 83 19 86 19 89 19 92 Value Peru Carbon Dioxide Emissions and GDP from 1950 to1992 30000 25000 y = 0.4304x - 448.97 20000 R2 = 0.9696 15000 10000 5000 0 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 GDP (millions of US dollars) GDP (millions of US dollars) Carbon Dioxide Emissions (thousand metric tonnes) • GDP is increasing over time, CO2 emissions mirror that increase •Very strong correlations between GDP and CO2 emissions •Inference: In developing countries, increases in GDP will parallel increases in CO2 emissions •Thesis is supported Examples of Developed Countries Germany CO2 Emissions vs. GDP Germany CO2 Emissions and GDP from 1971 to 2000 1200000 CO2 Emissions (thousands of metric tonnes) 3000000 2500000 Value 2000000 1500000 1000000 500000 19 98 19 95 19 92 19 89 19 86 19 83 19 80 19 77 19 74 19 71 0 1000000 800000 R2 = 0.7183 600000 400000 200000 0 Year 0 GDP (millions of US dollars) 500000 100000 150000 200000 250000 300000 0 0 0 0 0 GDP (m illions of US dollars) CO2 Emissions (thousands of metric tonnes) France CO2 Emissions vs. GDP Value 900,000 800,000 700,000 600,000 500,000 400,000 300,000 200,000 Year 1992 1989 1986 1983 1980 1977 1974 1971 1968 1965 1962 1959 1956 1953 1950 100,000 0 CO2 Emissions (thousands of metric tonnes) France GDP and CO2 Emissions from 1950-1992 600000 500000 400000 300000 y = 0.3188x + 215434 200000 R 2 = 0.5227 100000 0 0 200,000 400,000 600,000 800,000 GDP (in millions of US dollars) CO2 Emissions (thousands metric tonnes) GDP (millions of US dollars) •GDP is increasing over time, CO2 emissions do not mirror that increase •Much weaker correlations between GDP and CO2 emissions •Inference: In developed countries, increases in GDP do not parallel increases in CO2 emissions •Thesis is not supported 1,000,00 0 What Are Some Possible Answers for the Trends in Developed Countries’ CO2 Emissions? • Increased use of “clean” fuels in developed • • • countries France is a world leader in the use of nuclear power, use less and less fossil fuels each year (Earthtrends 2005) Germany demolished soviet power plants which produced enormous amounts of CO2 (O’Ronian 2005) Kyoto protocol signed in 1997 (Kyoto Protocol 2005) Conclusions • Gasoline consumption and energy consumption have strong • • • • • • • • correlations with CO2 emissions Developed countries consume more gasoline and energy than developing countries, on average Although urban population levels have a strong correlation with energy industries, it has a weak correlation with CO2 emissions The fact that developed countries have greater urban population levels does not have any effect on CO2 emission levels Developed countries emit more total CO2 and CO2 per capita than developing countries The proportion of CO2 emissions developed countries are accounting for is decreasing over time Developing countries have strong correlations between GDP and CO2 emissions Developed countries have weak correlations between GDP and CO2 emissions In many developed countries GDP increases while CO2 emissions stay the same or decline, developing countries have increases in both variables Final Thoughts • Developed countries are the focus for reducing CO2 emissions • Presently, this is an effective course of action- developed countries emit more total CO2 • In the future more attention must be paid to developing countries, as they may come to surpass developed countries if trends continue Works Cited • development-categorising countries. 14 Dec. 2005 • • • • • • <http://www.tutor2u.net/economics/content/topics/development/developm ent_categorising_countries.htm>. 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