1. Global Greenhouse Gas Emissions Preeti Dasari, Aneesha Wagh and Julia Yun MTH 291-01

2. Introduction CO 2 Emissions: “those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.” - World Bank Purpose of Study: -climate change and environmental issues -effect over the years Pitch SOS CO2 emissions. (n.d.). Retrieved April 29, 2015, from http://www.cartoonmovement.com/cartoon/10261

3. Goals 1.Determining factors that affect CO 2 gas emissions 2.Comparing country groups and time periods a.High Income (gdp per capita > 12616) b.Middle Income (12616 < gdp per capita < 1035) c.Low Income (gdp per capita < 1035) 3.Cross-validation of year 2000 data with year 2010 model Data Source: World Bank Climate Change Database

4. Variables Response Variable -CO 2 Gas Emissions (kt) Explanatory Variables -GDP per capita (US$) -Energy Use (kt of oil equivalent) -Access to Electricity (ATE) (% of total population) -Electricity Production (kWh) -Agricultural Land (% of land area) -Forest Land (% of land area) -Population in urban agglomerations of more than 1 million (% of total population) -Time: year 2010 and year 2000

5. Data / Missing Data ●429 observations ●approximately 42% of data missing ●regression model used to impute data for all variables

6. Transformations

7. Final Model (year 2010) log(CO2emission) = β o + β 1 *log(energy.use) + β 2 *log(electprod) + β 3 *(ATE^2) + β 4 *forest.land + β 5 *agri.land + ε

8. Diagnostic Plots

9. ANOVA Model (year 2010) Total of 215 countries -67 high income countries -111 middle income countries -37 low income countries Year 2010:

10. ANOVA Model (year 2010) Density Plot

11. Cross-Validation of Year 2000 data

12. 2000 vs 2010

13. Conclusions -factors that significantly affect CO2emissions: ATE, agri/ forest land, energy use & elect production -Countries produce different amounts of C02 and this trend has changed within income groups over the years -2010 data cannot be used to predict previous/ future CO2 emission levels as shown -- because of constantly evolving global trends. Truthdig - Tag - Co2 Emission. (n.d.). Retrieved April 30, 2015, from http://www.truthdig.com/tag/co2_emission