RT info:eu-repo/semantics/article
T1 Is energy intensity a driver of structural change? Empirical evidence from the global economy
A1 Nieto Vega, Jaime
A1 Moyano Pesquera, Pedro Benito
A1 Moyano, Diego
A1 Miguel González, Luis Javier
K1 Energy efficiency
K1 Industrial ecology
K1 Industrial metabolism
K1 input–output analysis (IOA)
K1 Structural change
K1 Technical coefficients
K1 53 Ciencias Económicas
K1 33 Ciencias Tecnológicas
AB 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.
PB Wiley
SN 1088-1980
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/57924
UL https://uvadoc.uva.es/handle/10324/57924
LA eng
NO Journal of Industrial Ecology, 2022.
NO Producción Científica
DS UVaDOC
RD 22-dic-2024