Estimating Path Dependence in Energy Transitions

Working Paper: NBER ID: w22536

Authors: Kyle C. Meng

Abstract: What induces energy transitions away from dirty fuels? When transitional dynamics exhibit strong path dependence, a temporary shock to fuel composition can trigger a permanent transition from dirty to clean fuels. I empirically examine whether such dynamics characterize the U.S. electricity sector's use of coal - the most climate-damaging fuel - across the 20th century. Exploiting local coal supply shocks driven by changing regional accessibility of subsurface coal, I find that a negative shock triggers a declining trajectory in the relative use of coal for electricity lasting for up to ten decades. Interpreted through a structural change model, reduced-form estimates imply a long-run elasticity of substitution between coal and other fuels of 3.5, a pivotal but largely unknown parameter found across recent models of optimal climate policy. Calibrated model simulations further characterize how climate policies of varying magnitudes and durations could trigger a permanent future energy transition away from coal.

Keywords: energy transitions; path dependence; coal; climate policy

JEL Codes: N51; N52; O41; Q35; Q43; Q54; Q58


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Negative coal supply shock (Q31)Declining trajectory in the relative use of coal for electricity (L94)
Negative coal supply shock (Q31)Permanent transition away from coal (L94)
Negative coal supply shock (Q31)Significant and sustained decline in coal usage for electricity (L94)
Negative coal supply shock (Q31)Relative use of coal decreases (Q35)
Relative use of coal decreases (Q35)Notable jumps in effects observed at two and seven decades post-shock (C41)
Negative coal supply shock (Q31)Strong path dependence in energy transitions (L94)
Temporary intervention (Y20)Permanent switch away from coal (L94)

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