The objective of this paper was to structurally model the high-priority factors caused by the impact of the severe acute respiratory syndrome coronavirus 2 in the energy market. For this, the method was based on interpretive structural modeling and the cross-impact matrix multiplication 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 are the ones with the greatest influence on the energy market from the perspective of Mexico. Derived from this, it is suggested to move towards a greater participation of public and private actors in renewable energy vectors.
|Translated title of the contribution||Post-SARS-CoV-2 energy market: Structural relationship of its critical factors|
|Number of pages||10|
|State||Published - 1 Jan 2021|
- Cross-impact matrix
- Energy market
- Interpretive structural modeling