Differences in Interprovincial Productivity Levels

Danielle Zietsma , David Sabourin, John Baldwin and Jean-Pierre Maynard

Analytical Studies Branch Research Paper Series from Statistics Canada, Analytical Studies Branch

Abstract:

This study examines provincial differences in productivity (GDP per job) using decomposition and regression analysis. In the first stage of the study, the relative size of productivity differences across provinces is examined. Then, these differences are decomposed into two components - the first is the portion of the difference that arises from industry-mix, and the second is due to "real" productivity differences at the industry level. The paper also examines the contributions of the "new" and "old" economy sectors to differences in provincial productivity. Finally, regression analysis is performed in order to determine the statistical significance of interprovincial productivity differences. The paper finds that British Columbia, Alberta, Saskatchewan, Ontario and Quebec do not differ significantly from another in terms of GDP per job after differences in industry mix are considered. Manitoba and the Atlantic Provinces lag behind the others. Most of the difference in the latter two cases stems from "real" differences at the industry level rather than from the effect of differences in industry mix. The Natural Resources sector plays an important role in bolstering the performance of Alberta and Saskatchewan.

Keywords: Business performance and ownership; Economic accounts; Industries; Labour; Productivity accounts; Regional and urban profiles (search for similar items in EconPapers)
Date: 2001-12-06
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:stc:stcp3e:2001180e

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