Page 120 - Contributed Paper Session (CPS) - Volume 6

CPS1839 Bahija Nali et al.
use the productivity estimates in small and non organized businesses and in
the second case we use the productivity estimates in organized enterprises.

1st scenarios
Concealed value added (VA) in millions of
Dirhams
Industry VA Concealed VA reassessed VA (%)
Fishing 5416 578 10,7
Mining and 12039 775 6,4
quarrying
Manufacturing 73094 3569 4,9
Construction 36019 5529 15,4
Services 346559 588 0,2
TOTAL 473127 11038 2,3
AV total 576619 1,9
1
1: total value added including agriculture, Administration and Financial services
With the assumption that one unit of hidden jobs produce as well as one
labour unit in the unorganized enterprises, the 811367 undeclared jobs (FTEs)
will generate 11038 MDH of value added with 5529MDH in construction
activities, 3569MDH in manufacturing industries. The fishing, mining and
services activities will create 1940MDH of value added.
In total, using this hypothesis the value added of all sectors including
Agriculture, Administration and Financial services will be revised upwards by
1,9%. An analysis by activity shows that construction’s value added will be
reassessed by 15,4%, that of fishing activity by 10,7%. In addition, the value
added of Mining and quarrying, manufacturing and services will be
revised slightly upward by 6,4%, 4,9% and 0,2% respectively.
2nd scenarios
Concealed values added(VA) in millions

of Dirhams

Industries VA Concealed VA VA reassessed (%)

Fishing 5416 8477 156,5
Mining and quarrying 12039 5807 48,2
Manufacturing 73094 55094 75,4
Construction 36019 33570 93,2
Services 346559 5213 1,5
TOTAL 473127 108161 22,9
AV total 576619 18,8
Assuming that, in given activity, one unit of undeclared work produce as
well as one labour unit in the organized enterprises, the Value Added created

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