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The importance of improved productivity is also hammered home by the latest annual macroeconomic report of the Inter-American Development Bank (IADB), which was released this weekend.The appendix to the report underlines the role of productivity in explaining the region's economic trajectory over the past 50 years.
We underline the major role of productivity as a determinant of the worker's retirement intentions.
This paper investigates the role of productivity as a determinant of the worker's retirement intentions.
In this paper, we have investigated the role of productivity as a determinant of the workers' retirement behavior.
"Today's report should leave nobody in any doubt about the fundamental role of productivity growth in the UK economy's performance," said Aberdeen Asset Management chief economist Lucy O'Carroll.
Our parsimonious generalized linear models also emphasize the role of productivity on β-diversity both at local and regional scales.
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We used complementary techniques (species accumulation models, multivariate variance partitioning and generalized linear models) to assess how the roles of productivity, bio-physical habitat heterogeneity and connectivity change with spatial scales from metres to 100's of km.
Specifically, we investigate whether the roles of productivity, habitat and dispersal change with spatial scale by testing predictions that habitat will be most important at the local (e.g., site and location) scale and dispersal will become more important with distance along the coast from McMurdo Sound to Terra Nova Bay (Fig. 1).
Our approach is unique in emphasizing the role of the productivity gap in productivity catch-up.
This provides some evidence of the major role on productivity as a determinant of retirement decisions.
We used remotely sensed data as a surrogate of plant productivity and habitat structure variables for explaining α- and β-diversity, and evaluated the relative roles of productivity-habitat structure and spatial variables in explaining observed patterns of α- and β-diversity by using a Principal Coordinates of Neighbor Matrices analysis.
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