Rebound Effect of China’s Electric Power Demand in the Context of Technological Innovation

Technological innovations in the power industry can help reduce electricity consumption but may also have a negative result due to rebound effects. Estimation and refinement of demand effects are important for assessing impact technological innovations. For this purpose, paper first constructs Log Mean Divisia Index (LMDI) measure structural technical Secondly, Data Envelopment Analysis (DEA)–Malmquist Productivity is used calculate change generalized rate progress, narrow use efficiency. Thirdly, electric effect during New Normal period calculated compare with overall energy. Finally, vector auto-regressive (VAR) model an impulse response function (IRF) investigate degree changes on other energy under “electrical substitution” strategy. The empirical results indicate that general progress China’s increasing gradually period, variations exhibit characteristics backfire partial effect, respectively, context innovation innovation. Meanwhile, contrary changing trend intensity, intensity increased continuously advancement strategy, which led continuous decline demands.