It is really a matter of timing. In equations 8 and 9, q_t, K_{t+1}^i, and L_t+1^i and omega_{t+1}^{i,a} are contained in the information set at time t, i.e. known at time t. The latter three are actually predetermined variables (loan stock, capital stock, ex-ante return). The only difference is the return to capital.
In equation 8, you have E_t(R_{t+1}^k). This expected values is known at time t as well, making the whole right-hand side known at time t. Thus, R_{t+1}^L on the left should actually get the timing R_t^L in Dynare, because it is contained in this information set.
In contrast, equation contains an R_{t+1}^k, implying the R_{t+1}^L is only contained in the information set at time t+1. But we are not trying to define an expected lending rate at time t, but the actual lending rate at time t (remember, we are defining a recursive equilibrium system to pin down variables at time t, not t+1). To make this equation state-contingent, i.e. hold for every single state realization, you have to shift the whole equation by one period to the past. You will then have an equation defining R_t^L and linking it to R_t^k and a bunch of predetermined variables.