The idea behind understanding the nature of equilibria of a dynamical system via linearization is that, at least locally, the system behaves like its approximation at the first order, hence like its linearization.
We know that if $(\bar{x},\bar{y})$ is an equilibrium it holds $(f(\bar{x},\bar{y}),g(\bar{x},\bar{y}))=(0,0)$ so the Taylor expansion of $F(x,y) := (f(x,y),g(x,y))$ about the point $(\bar{x},\bar{y})$ is the following:
$F((\bar{x},\bar{y})) + JF(\bar{x},\bar{y})(x-\bar{x},y-\bar{y}) + O(||(x,y)||^2)$ i.e. the linearized system is the following:
$
\begin{bmatrix}
\dot{x} \\ \dot{y}
\end{bmatrix} \approx
\begin{bmatrix}
\frac{\partial f}{\partial x}(\bar{x},\bar{y})&\frac{\partial f}{\partial y}(\bar{x},\bar{y}) \\
\frac{\partial g}{\partial x}(\bar{x},\bar{y}) & \frac{\partial g}{\partial y}(\bar{x},\bar{y})
\end{bmatrix}
\begin{bmatrix}
x-\bar{x} \\ y-\bar{y}
\end{bmatrix}
$
So now since in proximity of the stationary point the system behaves like the linearized one. Hence we know that if the analysis of this simpler system tells us that the point is stable/unstable for this system, then it preserves its nature even for the more complex non linear system.
So this is the idea behind linearization, then in order to make your analysis about the stability of equilibria you have to refer to Hartman–Grobman theorem (known as Linearization theorem) as BAYMAX said.