The scale functions were defined for spectrally negative Lévy processes and other strong Markov processes with no positive jumps, and have been used to characterize their behavior. In particular, I defined the scale functions for standard processes with no positive jumps using the excursion measures in Noba(2020). In this paper, we consider a standard process $X$ with no positive jumps and a standard process $Y$ defined by the space-time change of $X$. We express the scale functions of $Y$ using the scale functions of $X$ defined in Noba(2020) and the Volterra integral equation. From this result, we can express the scale functions of some important processes, such as positive or negative self-similar Markov processes with no positive jumps and continuous-state branching processes, using the scale function of spectrally negative Lévy processes and the Volterra integral equations.