Affiliation:
1. Bournemouth University, UK
Abstract
The objective of this chapter was to structurally model the high priority factors in the face of the impact of severe acute respiratory syndrome COVID-19 on the energy market. The method was based on interpretive structural modeling, and the matrix of crossed impacts multiplication was applied to classification. A model of 12 factors structured hierarchically in six levels is proposed in which consumption preferences, regulatory and normative modifications, political restrictions, and planning strategies have the greatest influence on the energy market from the perspective of China. As a result of this, it is suggested to move towards greater participation of public and private actors in renewable energy vectors.