Sentence examples for most significant driver from inspiring English sources

Exact(16)

It is, he has said, by far the most significant driver of America's long-term debt and deficits.

It was when our species overtook the great forces of nature to become the most significant driver of change of Earth's biosphere, the space where life exists.

Sponsorship and broadcast opportunities aside, Hewitt says the AFL's level of investment to build the league will be the most significant driver to evolve the league to a full-time professional sport where their players are remunerated accordingly.

Furthermore, when asked what the most significant driver for adoption of cloud computing were, 64.1% in North America and 63.5% in EMEA said to "reduce spending on infrastructure (ie CapEx)".

"I just think the most significant driver for economic development and the prosperity of a region or a state or the country is the level of education, particularly higher ed," Mr. Foster said.

The report found "agricultural change was by far the most significant driver of declines", as a result of switching from spring to autumn sowing, which reduces food and habitat for many species, intensification of grazing, increased use of pesticides and fertilisers and loss of marginal habitats, such as ponds and hedgerows.

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Similar(44)

Global warming, both in its most significant drivers and consequences, remains a global issue.

Maternity leave can now be split between partners; if this has sufficient uptake, it could be one of the most significant drivers for change in gender equality in science.

Based on the results of each experiment, we developed a simple model that used the most significant drivers of participant performance.

Borcherding and Samelson ([1980]) found that rework was one of the three most significant drivers to poor productivity and decreased morale, oftentimes as a result of poor engineering information design.

Though our analysis suggests a consistently negative relationship between Ω and mean predicted error for all evapotranspiration models, we found that vegetation indices and flux magnitudes were the most significant drivers of model error.

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