Abstract
Several advantages of the present study in comparison with previous related work are based upon the richness of the data used. The detail and relative completeness of the data permit a more precise analysis with more meaningful conclusions than has previously been possible.
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Notes
The result of using SEA’s rather than SMSA’s in the Northeast is shown in Section A-1 and Appendix Table A-l, A-2 and A-3.
Klaassen [25] has argued that no single set of regions is appropriate for industrial location analysis but that there is a ‘relevant’ region for each industry which essentially is a combination of the industry’s market and supply areas. Such an approach is possible only for the study of the location of individual industries. In the present study the joint loca-tional distributions of pairs of industries are of primary interest and thus a single set of regions for all industries is necessary.
See Morrison, et al. [37] and Alexander and Lindberg [1] for examples.
The seven employment class sizes and their medians (M) are: (1) 1-19, M = 6; (2) 20-49, M = 31; (3) 50-99, M = 69; (4) 100-249, M = 155; (5) 250-499, M = 346; (6) 500-999, M = 684; (7) 1000 or more, M = 2545.
In the extreme one could probably find a basis for considering each establishment to be an “industry.” Perhaps the most systematic method of deciding how much disaggregation is useful would be to compute measures of “information” in the way that accountants do to determine the appropriate level of disaggregation for an income statement or balance sheet.
It should be noted that in the 1963 Input-Output Study flows of goods valued at less than $500.00 are recorded as zeroes.
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© 1976 H. E. Stenfert Kroese B.V., Leiden
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Latham, W.R. (1976). Description of the data base. In: Locational behavior in manufacturing industries. Studies in applied regional science, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-4369-1_2
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DOI: https://doi.org/10.1007/978-1-4613-4369-1_2
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