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We argue that inherent trade-offs among ecosystems in emission reduction potential, opportunity cost of foregone development and biodiversity values will require a regulatory framework to balance emission reduction interventions with biodiversity co-benefit targets.
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The atmospheric CO2 concentration and local temperature and relative humidity changes with time over the next 100 years in the Australian cities of Sydney and Darwin are projected based on nine General Circulation Models (GCMs) under (i) high CO2 emission scenario, (ii) medium CO2 emission scenario, and (iii) CO2 emission reduction scenario based on policy intervention.
Adoption of green taxation may increase the price of energy and it is considered to be a critical intervention for achieving the GHGs emission reduction targets as per Kyoto obligations.
It also invokes optimistic economic studies to understate the cost of massive greenhouse gas emission reduction and thus make the case for massive governmental interventions.
Frequently the estimated cost of a regulatory intervention is only the abatement expenditure (e.g. the cost per ton of emission reduction) which, as Kopp et al. [ 34] suggest is a narrow measure of the cost of regulatory compliance.
Nor is our emission reduction policy framework.
This is equivalent to a 17% emission reduction.
3. Emission Reduction Credits from Shutdowns and Curtailments.
(f) Evidence, where necessary, that emission limitations are based on continuous emission reduction technology.
Programs involving emissions trading markets have generally been designated as either emission allowance or emission reduction credit (ERC) trading programs.
DSICE computes the optimal, global greenhouse gas emission reduction.
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