Is energy intensity a driver of structural change? Empirical evidence from the global economy
Input–output tables (IOTs) provide a relevant picture of economic structure as they represent the composition and interindustry relationships of an economy. The technical coefficients matrix (A matrix) is considered to capture the technological status of an economy; so, it is of special relevance fo...
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| Veröffentlicht in: | Journal of industrial ecology 2023-02, Vol.27 (1), p.283-296 |
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| container_title | Journal of industrial ecology |
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| creator | Nieto, Jaime Moyano, Pedro B. Moyano, Diego Miguel, Luis Javier |
| description | Input–output tables (IOTs) provide a relevant picture of economic structure as they represent the composition and interindustry relationships of an economy. The technical coefficients matrix (A matrix) is considered to capture the technological status of an economy; so, it is of special relevance for the evaluation of long‐term, structural transformations, such as sustainability transitions in integrated assessment models (IAMs). The A matrix has typically been considered either static or exogenous. Endogenous structural change has rarely been applied to models. The objective of this paper is to analyze energy intensity, a widely used variable in IAMs, and its role as a driver of structural change. We therefore identify the most relevant technical coefficients in the IOTs time series and estimate an econometric model based on the energy intensity of five different final end‐use energy sources. The results of this analysis show that energy intensity has a significant influence on the evolution of the A matrix and should therefore be taken into consideration when analyzing endogenous structural change in models. |
| doi_str_mv | 10.1111/jiec.13352 |
| format | Article |
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The objective of this paper is to analyze energy intensity, a widely used variable in IAMs, and its role as a driver of structural change. We therefore identify the most relevant technical coefficients in the IOTs time series and estimate an econometric model based on the energy intensity of five different final end‐use energy sources. 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| subjects | Econometrics Economic structure Economics Empirical analysis Endogenous Energy energy efficiency Energy sources Energy utilization Global economy industrial ecology industrial metabolism input–output analysis (IOA) Mathematical models Structural change Sustainability transitions technical coefficients Time series |
| title | Is energy intensity a driver of structural change? Empirical evidence from the global economy |
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