Energy-efficient beamforming design for multiuser is investigated in multicell systems to maximize the system energy efficiency subjected to some given quality of service demands and transmit power constraint. The non-convex optimization objective function in fractional form is firstly transformed into an optimization objective function in concave-convex fractional form, and the power allocation is realized by introducing some auxiliary variables and using jointly the fractional programming and the lower complexity convex approximation method. Then the beamforming optimization problem is transformed into a problem of minimizing the transmit power which can be solved with the second-order conic programming method. Numerical results illustrate that the proposed algorithm converges to a stable point within a limited number of iterations. It is also observed that the best spectral efficiency and energy efficiency can be simultaneously achieved by the proposed algorithm at low transmit power region. However, in high transmit power region the proposed algorithm outperforms obviously the traditional spectral efficiency maximization algorithm in terms of energy efficiency.