Innovative activity in Canadian food processing establishments: the importance of engineering practices

International Journal of Technology Management

Volumn 20, Issue 5-8, 2000, Pages 511-527

  Baldwin, John ^a   Sabourin, David ^a  

^a STATISTICS CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION; FOOD PROCESSING; INDUSTRIAL ECONOMICS; PROCESS ENGINEERING; PRODUCT DEVELOPMENT; RESEARCH AND DEVELOPMENT MANAGEMENT;

ENGINEERING PRACTICES; INNOVATION;

INDUSTRIAL MANAGEMENT;

EID: 0033645074     PISSN: 02675730     EISSN: None     Source Type: None    
DOI: 10.1504/ijtm.2000.002877     Document Type: Article

References (35)

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4. For related studies covering France, Germany, Italy, Holland and Switzerland, see Crepon, Duguet and Kabla, (1996), Felder et al. (1995) Sterlacchini (1994), Brouwer and Kleinknecht (1996), Arvanitis and Hollenstein (1994,1996) [5-9].
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20. The Business Register maintains a listing of all establishments in the Canadian manufacturing sector. The food processing industry is major SIC (Standard Industrial Classification) group 10.
21. The 3-digit SIC groupings within SIC 10 (food processing) were used for the sampling exercise.
22. Results are establishment weighted. Establishment weights refer to the probability sampling weights from the survey. Use of these weights provides population estimates rather than just sample estimates.
23. Establishments having fewer than ten employees were not surveyed due to cost restraints.
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28. This is the number of competitors that the plant manager felt offered competing products to his own.
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32. Baldwin, J. R. (1996) The Importance of Research and Development for Innovation in Small and Large Canadian Manufacturing Firms, Analytical Studies Branch Research Paper Series No. 107, Ottawa: Statistics Canada.
33. The weights that are used are the probability sampling weights from the survey.
34. Probabilities (p) are estimated using the logit equation: P = exp(βx) / [1 + exp(βx)]
35. Suits, D.B. (1983) 'Dummy variables: mechanics vs. interpretation', The Review of Economics and Statistics, Vol. 65, pp.177-181.