db.gca

For the standalone function, see mario.calc_gca().

Calculate the commodity-to-activity quadrant of the SUT Ghosh inverse.

\[g_{ca}=g_{cc}b_u\]

Inputs#

gcc: commodity Ghosh quadrant.

bu: commodity-by-activity direct-output coefficients.

Result#

Commodity nodes on rows and activity nodes on columns.

Calculation details#

The subscript a denotes activities and c commodities. A stored unified g can also supply this quadrant. The inverse builders for gcc and gaa fall back to the Moore-Penrose pseudoinverse when their system is singular.

Example#

import mario

db = mario.load_test("SUT", tech_assumption="IT")
result = db.resolve("gca")
# Dotted access requests the same block:
result = db.gca

Use resolve for scenario selection and recomputation options. Existing targets are reused. The other SUT equations are listed in Resolvable Matrices and Blocks.