We show how choices made by practitioners can influence regional MFA model results.
Choice of data material is closely linked to system layout and vice versa.
The extent of data reconciliation is a useful proxy indicator for model quality.
An iterative approach to uncertainty assessment ensures better consistency.
The arbitrary element in uncertainty assessment hinders direct comparison of MFAs.