Nonlinear constraint - Convexity

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I have a nonlinear constraint of the form: z * exp(-x) >= d where z and x are non-negative bounded variables and the lower bound of z is 0; d is a fixed positive number.

I used the logarithmic transformation to get:

ln(z)- x >= ln(d)

which would be convex if z >0. However, z can take value 0. Is there a trick to avoid this issue, taking the logarithm of a variable that can be equal to 0?

Under which condition is the function z * exp(x) concave?