Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques

The aim of this paper is to provide a critical overview of sensitivity analyses within input-output techniques applied to energy-related CO2 emissions. A classification of those applications is presented and their main advantages and disadvantages are discussed. It is argued that sensitivity analyses within input-output techniques are very relevant to obtain a “map” of hot-spots of the production system, i.e., to identify the transactions between sectors which lead to a large impact on the generation of energy-related CO2 emissions. Possible extensions of this approach are discussed.

► A critical overview of sensitivity analyses within input-output techniques applied to energy-related CO2 emissions is provided.
► A classification of sensitivity analyses within input-output techniques applied to energy-related CO2 emissions is presented and comparisons provided.
► Sensitivity analyses are able to obtain a “map” of hot-spots of energy-related CO2 emissions of the production system.
► Implications for further research are provided, i.e., possible extensions of this approach are discussed in several directions.