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While it is recognised that employers invest a substantial amount of
money and time in training, the
exact nature and amount of this investment is poorly measured and understood.
This project set out
to supplement the available data, which have many limitations, with
more detailed data for selected
industries. However, it became quickly apparent that this was not possible.
It found that good data on employer-funded training are extremely difficult
to capture, not only because
of the diversity by which employers meet their skill needs, but also
because many employers do not
keep accurate records. As a consequence, the report focuses on measurement
issues rather than hard,
quantitative data.
Nevertheless, Approaches to measuring and understanding employer training
expenditure offers some
insights into aspects related to training expenditure across firms
in the four selected industries:
construction, retail trade, manufacturing and health and community
services (with support provided by
the Community Services and Health Industry Skills Council).
Key messages
- Some of the drivers for investment in training - such as
government employer incentives - are
common across industries; others - such as compliance
with regulations, shortages, labour turnover
and exposure to competition - will vary, depending on
specific industry circumstances.
- The common perception is that
small firms tend not to invest in training to any great extent.
This
research suggests that the traditional split between high-spending
large firms and their small lowspending
counterparts does not always reflect actual practice.
- One
of the difficulties in getting an accurate picture of the
training landscape is that a significant
amount of informal training is not recorded.
The research also
suggests how a national survey of employer training expenditure
and practices
might best be implemented in the future. The authors argue
that collecting data based on employers' impressions
is better than having no data, especially where baseline
data can
be
supplemented with indepth
qualitative research. In considering any future survey,
however, it would be important to understand
the key policy initiatives that the outputs are likely
to inform so that a manageable and robust survey
can be designed. It also needs to be borne in mind that
collecting training practices data is problematic,
because training is often decentralised and suitable records
are not retained.
Tom Karmel
Managing Director, NCVER
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