This paper examined the econometric approaches used to address endogeneity issues in modelling energy consumption (EC) and renewable energy consumption (REC). The authors conducted a comprehensive review of relevant articles published during the 2018–2022 period and identified 28 studies that employed various econometric methods. These methods include Autoregressive Distributed Lag (ARDL), generalized methods of moments (GMM), and combinations of approaches like ARDL, vector error correction model (VECM), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS). It highlights the use of dynamic generalized method of moments (GMM) estimators with panel data as a dominant approach in recent studies on energy consumption. This paper contributes to empirical studies on EC/REC given endogeneity issues, facilitating informed decision-making for sustainable energy development.