Based on the "smiling curve" theory, we evaluate the value-added capacity of energy storage industry. Using the Principal Component Analysis method, we excavate the driving factors that affect value-added capabilities. Adopting the three-stage DEA-Malmquist index methods to analyze the efficiency differences of each link of the value chain.
Therefore, the value-added efficiency of the energy storage industry is measured according to the input indicators, output indicators and external environment indicators that affect the value-added capacity in the above.
The results demonstrate that the value chain presents an arc-shaped smile, and the overall value-added capacity has improved after 2019, but the midstream link is still weak. The main driving factors of value-added efficiency of energy storage enterprises in different links are quite different.
The main driving factors of value-added efficiency of energy storage enterprises in different links are quite different. Under the new development requirements, enterprises should actively seek value-added breakthroughs.
While energy storage is already being deployed to support grids across major power markets, new McKinsey analysis suggests investors often underestimate the value of energy storage in their business cases.
Under the new development requirements, enterprises should actively seek value-added breakthroughs. In addition, the value-added efficiency of energy storage enterprises is more sensitive to the external environment, verifying the need to consider environmental and random factors. 1. Introduction
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