Summarize the CO2 emissions by each country using the table. Be as detailed as possible. From 1980 to 2021, calculate the average rate of change of total emissions and per capita emissions for each country. Summarize your results in a few sentences. Use Riemann sums to calculate the total emissions and per capita emissions from 1980 to 2021. Did you use left, right, or midpoint boxes?  Which country is more responsible for current atmospheric CO2 levels? Summarize your results in a few sentences.

China and U.S. CO2 Emissions

Produced by Thomas J. Pfaff

sustainabilitymath.org

Updated March 2023

 

Overview: Greenhouse cases, in particular CO2, are the drivers of climate change. In order to limit future warming we must reduce global CO2 emissions. The two largest emitters of CO2 are the U.S. and China. Assuming both countries are willing to reduce CO2 emissions, the goal of this exercise is to propose a fair agreement for China and the U.S. to reduce CO2 emissions. The project starts by analyzing historic emissions of the two countries.

Notes to Instructors (delete this before handing to students): The data is available in an excel spreadsheet. The calculations involving summing columns is much easier with the spreadsheet but not necessary.  There is also a csv file that can be imported directly into R. The use of Riemann sums is very basic, but the example does provide a meaningful example of area under a curve. There is no real correct answer to the final questions.

  • Summarize the CO2 emissions by each country using the table. Be as detailed as possible.
  • From 1980 to 2021, calculate the average rate of change of total emissions and per capita emissions for each country. Summarize your results in a few sentences.
  • Use Riemann sums to calculate the total emissions and per capita emissions from 1980 to 2021. Did you use left, right, or midpoint boxes?  Which country is more responsible for current atmospheric CO2 levels? Summarize your results in a few sentences.
  • Provide a short proposal on a fair plan for both countries to reduce emissions. Your proposal must include arguments for why it is fair to both countries and must address historic emissions, current and short-term future projections, per capita emissions, and recognize the current correlations between CO2 emissions and standard of living.

 

 

 

 

 

 

 

Year Years after 1980 United States (CO2 mmt) China (CO2 mmt) U.S. Population China Population US per capita emission (metric ton per person) China per capita emission (metric ton per person)
1980 0 4756 1597 223140018 982372466 21.31397157 1.625656
1981 1 4637 1587 225654008 997259502 20.5491586 1.591361
1982 2 4404 1671 228001418 1013483166 19.31566934 1.648769
1983 3 4384 1786 230389964 1029226907 19.02860665 1.735283
1984 4 4613 1948 232766280 1044172197 19.81816267 1.865593
1985 5 4605 2067 235146182 1060239979 19.5835627 1.949559
1986 6 4616 2140 237512783 1077770523 19.43474343 1.98558
1987 7 4776 2260 239853168 1096851843 19.91218227 2.060442
1988 8 4998 2406 242287814 1115889802 20.62835896 2.156127
1989 9 5085 2413 244954094 1134414723 20.75899168 2.127088
1990 10 5038 2417 248083732 1153704252 20.30765967 2.094991
1991 11 4993 2460 251560189 1170626171 19.84813265 2.101439
1992 12 5094 2541 255175339 1183813389 19.96274413 2.146453
1993 13 5186 2731 258779753 1195855558 20.04020771 2.283721
1994 14 5263 2916 262273589 1207286675 20.06683182 2.415334
1995 15 5324 3140 265660556 1218144426 20.04061152 2.577691
1996 16 5518 3240 268984347 1228298836 20.51420487 2.637795
1997 17 5589 3144 272395438 1237801448 20.51796477 2.539987
1998 18 5637 3132 275835018 1246836105 20.43612896 2.511958
1999 19 5700 3248 279181581 1255433236 20.41681969 2.587155
2000 20 5889 3483 282398554 1264099069 20.85350621 2.755322
2001 21 5778 3615 285470493 1272739582 20.24027051 2.84033
2002 22 5820 3857 288350252 1280926120 20.18378676 3.011103
2003 23 5886 4469 291109820 1288873367 20.21917364 3.467369
2004 24 5994 5398 293947885 1296816711 20.39136972 4.1625
2005 25 6007 6120 296842670 1304887562 20.23630902 4.690059
2006 26 5929 6751 299753098 1313086567 19.77961209 5.141321
2007 27 6016 7058 302743399 1321513224 19.87161411 5.340847
2008 28 5823 7505 305694910 1330167148 19.04840352 5.642148
2009 29 5404 8204 308512035 1339125595 17.51633449 6.126386
2010 30 5594 9004 311182845 1348191368 17.97656937 6.678577
2011 31 5455 9893 313876608 1357095481 17.37944103 7.289833
2012 32 5236 10479 316651321 1366560818 16.53553815 7.668155
2013 33 5359 10732 319375166 1376100308 16.77963903 7.79885
2014 34 5414 10654 322033964 1385189668 16.81189131 7.691365
2015 35 5262 10427 324607776 1393715448 16.21033256 7.481441
2016 36 5169 10262 327210198 1401889681 15.7971849 7.32012
2017 37 5151 10415 329791231 1410275957 15.61897199 7.385079
2018 38 5278 10606 332140037 1417069468 15.89088761 7.48446
2019 39 5147 10771 334319671 1421864031 15.39544468 7.575267
2020 40 4580 10842 335942003 1424929781 13.63330563 7.608796
2021 41 4904 11420 336997624 1425893465 14.55203138 8.009013