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4.72. The FDI framework, whether implemented
through adding questions to existing surveys or through
institution of new surveys covering the majority-owned
subset of the FDI population, allows for the compilation
of outward as well as inward
statistics and provides
more options for tailoring the data to specific FATS
needs. However, the activity classification used in FDI
statistics is generally rather aggregated, and it seems
difficult to go beyond basic statistical variables, such as
turnover and employment, without
designing completely
new surveys, which might raise concerns about resource
availability and respondent burden. Also, if that
approach is taken, special care will be necessary to
ensure compatibility with the domestic statistics with
which the FATS statistics may be compared.
4.73. The picture of FATS statistics as a subset of
enterprise statistics is quite different. It is not possible to
compile outward statistics within that framework.
However, the activity classification used may be quite
detailed and product detail may be available for sales or
turnover. In addition, a comprehensive
set of statistical
variables can generally be provided.
4.74. In many cases, a mix of the two approaches may
work best, with the “FDI context” being used for the
compilation of outward FATS statistics and for the
identification of foreign-owned companies, and the
“enterprise statistics” context being used for the
compilation of inward FATS statistics, with a more
detailed activity breakdown
and a more comprehensive
set of variables. An extended business register might be
a suitable means of maintaining such information. That
approach has already been adopted in some countries
that use them to maintain data on foreign ownership.
The present
Manual bases its recommendations on both
approaches, recognizing the advantages and
disadvantages of each and the need for countries to have
flexibility in adapting the recommendations to their
individual statistical infrastructures and maximizing the
use of existing data.
4.75. One of the main challenges for the new statistical
domain stems from the fact
that the collection and
definition of FATS statistics may draw on expertise and
responsibilities that are scattered among multiple
institutions, such as central banks, national statistical
offices and various ministries. Thus, as statistics are
developed, there will be a need for close cooperation
among the different institutions involved.
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