The Effect of a Kernel on an Image By Filtering
Convolution with following kernel returns the signal unchanged.

 0     0     0     0     0     0     0
 0     0     0     0     0     0     0
 0     0     0     0     0     0     0
 0     0     0     1     0     0     0
 0     0     0     0     0     0     0
 0     0     0     0     0     0     0
 0     0     0     0     0     0     0


If the '1' is shifted to the right one position, the convolution output will be shifted to the right one position as well.

If the '1' is a '2' the convolution output will be double (scaled by 2).

If there is more than one non-zero number in the kernel, the convolution output will be the addition of each scaled and shifted copy.

For your kernel

 0     0     0     0     1     0     0
 0     0     0     0     0     0     0
 0     0     0     0     0     0     0
 0     0     0     0     0     0     0
 0     0     0     0     0     0     1
 0     0     0     0     0     0     0
 1     0     0     0     0     0     0


the output is the addition of three copies of the signal, shifted by (1,3), (3,-1) and (-3,-3) and scaled by 1. I wouldn't call it blurring though.