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Valuing Solar Subsidies

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Listed:
  • Bryan Bollinger
  • Kenneth Gillingham
  • A. Justin Kirkpatrick

Abstract

Individuals trade present for future consumption across a range of economic behaviors, and this tradeoff may differ across socioeconomic groups. To assess these tradeoffs, we estimate a dynamic model of residential solar adoption and system sizing in California using household-level data on solar irradiance, electricity consumption, and electricity rates that offer plausibly exogenous variation in the future benefits from adopting relative to upfront costs. We find implicit discount rates of 15.3%, 13.8%, and 10.0% for low-, medium-, and high-wealth households. Counterfactual simulations demonstrate opportunities to reduce the regressivity of solar adoption, increase policy cost-effectiveness, and improve welfare for low-wealth households.

Suggested Citation

  • Bryan Bollinger & Kenneth Gillingham & A. Justin Kirkpatrick, 2025. "Valuing Solar Subsidies," NBER Working Papers 33368, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:33368
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    References listed on IDEAS

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    1. Houde, Sébastien & Myers, Erica, 2021. "Are consumers attentive to local energy costs? Evidence from the appliance market," Journal of Public Economics, Elsevier, vol. 201(C).
    2. Robert W. Hahn & Nathaniel Hendren & Robert D. Metcalfe & Ben Sprung-Keyser, 2024. "A Welfare Analysis of Policies Impacting Climate Change," NBER Working Papers 32728, National Bureau of Economic Research, Inc.
    3. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
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    More about this item

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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