SDRE

Birkenhead Lake, British Columbia.

We show that sustained cuts to U.S. military expenditures could result in annual energy savings on par with what the nation of Slovenia or the U.S. state of Delaware consumes annually by 2032.

We also illustrate the potential impacts of different spending decisions on DOD energy consumption and present a forecast from 2023 to 2032 for seven different scenarios.

We find that a decrease in military expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. This is largely due to cuts in DOD energy consumption from facilities and vehicles and equipment, and jet fuel in particular.

We conduct a time series analysis of the relationship between U.S. Department of Defense (DOD) direct energy consumption and U.S. military expenditures from 1975 to 2022, and we test for directional asymmetry in the effect of expenditures on energy consumption.

this is now what you see when trying to access the fifth national climate assessment of the united states global change research program (nca2023.globalchange.gov). same for all prior assessments.

Four Lakes trail above Squamish.

Therapeutic exercise 🙂

Long-Run Effects of Military Expenditures Per Solider (capital-intensiveness) and Military Participation Rate (size) on Total Emissions

Therapy.

Promoted to Orange Belt!

We find that the short-run and long-run effects of the income share of the top 10 % and the top 5 % on province-level carbon emissions are substantial and statistically symmetrical. The effect of the Gini coefficient on emissions is null.

Happy to see this far-reaching collection finally in print, which captures the necessity of the social sciences for understanding the #ClimateCrisis. Had the privilege of coauthoring 2 chapters, described in this thread, and with links. #climate #ClimateChange #SocialScience #Sociology

And night riding till 10 PM.

First day ever at Cypress Mountain.

The short-run and long-run effects of the income share of the top 10 % and the top 5 % on province-level emissions are substantial and statistically symmetrical. The effect of the Gini coeff is null (thread, part 2).