[ Question ]

Climate discounting: How do you value one tonne of CO2eq averted today versus (say) 30 years from now?

by Sanjay 1 min read12th Feb 20203 comments

15


Climate discounting: How do you value one tonne of CO2eq averted today versus one tonne of CO2eq averted (say) 10 or 30 or 50 years from now?

Some (potentially overlapping) factors which should be considered:

  • what does warming effect as a function of CO2eq concentration look like? (presumably it's not linear, i.e. presumably the warming effect of another tonne when CO2 is 412 ppm is not the same as the marginal effect when CO2 is 500ppm or 1000pm)
  • what does "badness" as a function of warming look like? (again, presumably not linear, i.e. I suspect that 10 degrees of warming is probably more than 5x worse than 2 degrees of warming)
  • are there vicious circle/runaway effects?
  • are there cliff-edge effects?
  • how much uncertainty is there in the models? (I understand the answer to be "lots", in which case should that make us more risk averse, and therefore more prone to place greater value on immediate results)
New Answer
Ask Related Question
New Comment

2 Answers

Note: this question was also cross-posted to the Facebook effective environmentalism group https://www.facebook.com/groups/effectiveenvironmentalism/permalink/2306369839662729/

I did a crude calculation in DICE2016R, which doesn't take into account a wide range of effects nor most of the points in my comment below about elasticity. In terms of damage to the economy, the social cost of carbon for 10 years, 20 years and 30 years is about $5, $10 and $14, verses a current total social cost of carbon of $37. This is just taking the social cost of carbon now minus the discounted social cost of carbon in the future for the optimised development pathway. It's about an order of magnitude lower in the non-optimised (baseline) pathway for DICE. General disagreement over the social cost of carbon between models may make this vary over orders of magnitude and the DICE model is low compared to models like PAGE.