An Empirical Analysis of Energy Intensity and Its Determinants at the State Level

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Factors affecting CO2 emissions in top countries on renewable energies: A LMDI decomposition application (2018, methodology): “In the energy literature, the decomposition techniques have been a particularly suitable and convenient tool over the last two decades in order to decouple the determinants of various indicators such as energy consumption and efficiency ([5]; [6]; [7]; [8]; [9]; [10]; [11]; [12]; [13]; [2]; [14]; [1”
How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries (2018, methodology): “8 E.g., Metcalf (2008) and Oseni (2011) decomposed along 4 sectors for 46 US states and 16 OECD countries respectively; Moshiri and Duah (2016) decomposed along 7 sectors for 10 Canadian provinces.”
Greenhouse gases emissions, growth and the energy mix in Europe: a dynamic panel data approach (2009, background): “Among others, Halkos (2003) and Metcalf (2008) address the endogeneity problem and use a first-difference-GMM estimator (Arellano and Bond, 1991).”
Effects of changing trade structure and technical characteristics of the manufacturing sector on energy intensity in Ghana (2014, background): “Various factors such as production technology, technological advances, urbanization, economic structure, energy price, investment, and structural effects have been extensively analyzed in the literature [3,10–12].”