Sentence examples for decrease gdp from inspiring English sources

Exact(4)

Estimates suggest that in low- and middle-income countries, the impact of malnutrition could decrease GDP by 2-11%, said the charity.

It would decrease GDP.

In fact, because M&A activity would predictably slow as taxpayers would become loathe to trigger capital gains taxed at the new, higher rate, the change would actually decrease GDP by 1.5% over the next decade, meaning that instead of collecting the $1.7 trillion in additional revenue mentioned above, we would only collect $1.1 trillion.

However, it has been repeatedly demonstrated that GDP affects binding of agonists at Gi G-protein coupled GPCRs (Florio and Sternweis, 1989; Tota and Schimerlik, 1990), muscarinic agonists decrease GDP binding (Haga et al., 1986; Shiozaki and Haga, 1992) and accelerate its dissociation (Ferguson et al., 1986).

Similar(56)

The demand for gold investing decreased GDP by −1.9% in the fiscal year 2016 17.

One thousand affected people in every one million in floods decreases GDP per capita growth by 0.005 %.

Consequently, when spending decreases, GDP decreases and then so, too, do tax revenues and the national debt increases.

The revised reading of first-quarter gross domestic product helped ease some worries about a possible recession, which is traditionally defined by two straight quarters of decreasing GDP.

The ARIMA (0, 2, 0) model of GDP time-series had one local trend outlier in 1994 (t = 3.40; P < 0.01), likely a result of currency reform after hyperinflation in 1993 (which decreased GDP value by about 30.76%).

These stabilizing interactions are abolished in the T151A mutant, resulting in a ~4-fold decreased GDP affinity (Kd=33 μM) and a GDP release rate too rapid to be reliably measured using stopped flow methods (>1000 s−1).

Increasing cancer rate sex ratio was significantly associated with increasing proportion of those living on less than Int$1 per day (P<0.02), decreasing GDP (P<0.01), healthcare variables including decreasing life expectancy (P=0.03), decreasing physician density (P=0.05), decreasing per capita health expenditure (P=0.01) and increasing IMR (P<0.01).

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