ESA Toolbox Flashcards
Different characteristics of ESA tools
- object of analysis - substance, material, policy
- system defenition - boundaries (time, geographical)
- models of analysis
- impacts considered
- Procedural or analytical
- Descriptive or change-oriented
- Tools for aggregation
Describe procedural vs analytical tools
Procedural
- focus on the procedure and the connections to its societal and decision context
- EIA, MCDA
Analytical
- focus on technical aspects of the analysis
- LCA, MFA, ERA, CBA
Describe descriptive vs change-analytical tools
Descriptive
- attributional or accounting studies, interested in decision
- LCA, MCDA
Change-oriented
- consequential or effect oriented
- data should reflect the actual change happening
- EIA, SFA, MFA
Which tools for aggregation
MCDA, indicators
Comparison between LCA, MFA and EIA
se anteckningar
Combinations different
Complexity of evaluation
- screening potential effects with indicators, deeper analysis with eg LCA or ERA
Including spacial specification (time and site-specific)
- eg ERA with site-specific data and LCA for non-specific
Impact types
- combining tools with input-output (LCA, CBA) with eg ERA for one emission (economy included)
Combinations combining
Including (box in box)
- eg EIA and ERA
Consecutive (box after box)
- LCA and ERA
Additional (Box beside box)
- LCA and LCC
Pros about ESA tools
- ESA tools help to structure info about env. implications
- Life-cycle thinking and multimedia (ex soil) effects can be considered
- Trade-offs between different subjects and different effects are visualized
- Discourse in society is backed up by information - clear what the case is
Limits of ESA tools
- Data gaps and quantitive data needs to be treated appropriately - hard to find data
- Decisions are supported systematically, but still have to be taken by decision makers
- Stakeholders and actors with different interests involved, but not always compensated
