If your (ordinary least squares) regression coefficient is .047, that is an increase of .047 points, or an increase of 4.7 percentage points. When X goes up by 1, Y goes up by 4.7 percentage points (or 4.7 ppt for short).
It is not an increase of 4.7%.
To determine what percent change it is, you need to start with a base or an average. If, for example, the mean of the Y variable is .47, then an increase of .047 would be: .047/.47*100 = an increase of 10% off the mean.
Note that 10% is not the same as 4.7%.
Percentage vs. percentage point is a way that people lie with statistics. A small percentage point change can look large in percentage terms and a large percent change can look small in percentage point terms. Most people don’t know the difference, and think both mean percent.
*disclaimer: if both your X and Y variables are in natural logs then, because of the beauty of Taylor approximations, the regression coefficient can be read as a percent with certain assumptions about the size of the change etc.