Notes
Archived Content
Information identified as archived is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please "contact us" to request a format other than those available.
A significant positive
effect of exporting on a firm's productivity growth has been found for
countries such as, Canada, Italy, Slovenia and sub-Saharan African countries.
However, the opposite has been reported for countries such as Chile, China,
Germany, and Mexico. Baldwin and Yan (2012) have explored the possible explanations
for the cross-country variations. See Wagner (2007), López (2005),
and Greenaway and Kneller (2007) for a survey of the literature.
According to a 1974 survey that collected export data for all plants,
only 0.4% of plants that filled in the short-form questionnaires reported
exports (Baldwin and Gu 2003). Therefore, the excluded plants are mainly
small plants, accounting for a very small proportion of total industry output.
Special edits to the file post 2000 were also made because of changes
that turned the ASM from a census to a survey. These changes required the
exclusion of some observations that had been imputed from tax records.
See Baldwin and Rafiquzzaman (1994) for
a discussion of the methodology used to create these groupings following the
Organization for Economic Cooperation and Development, 1987.
In other words, only continuing exporters and non-exporters
during the first sub-periods are included in the analysis. Plants that export
at both the beginning (1990 and 2000) and the end (1993 and 2003)
of the first sub-periods are classified as exporters; plants that do not export
at either the beginning or the end of the first sub-periods are classified
as non-exporters.
See Picot and Wannell (1997).
Where it was appropriate, the relatedness of
the categories was tested and confirmed with Cronbach's alpha.
The relatedness of the categories was tested and confirmed using Cronbach's
alpha.
Kaiser (1958) argues that the number of principal components
should be selected by retaining components with associated eigenvalues greater
than the average eigenvalue.
- Date modified: