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Energy efficiency policies in an agent-based macroeconomic model

Author

Listed:
  • Amendola, Marco
  • Lamperti, Francesco
  • Roventini, Andrea
  • Sapio, Alessandro

Abstract

Energy efficiency can help facing the climate crises. Yet the energy intensity has decreased more slowly than required to achieve climate goals. Based on this premise, we build an agent-based model to study the effects of different energy efficiency policies. Policies analysed range from indirect policies – taxes, incentives, and subsidies – to direct technological policies, where a public research laboratory invests in R&D to establish a new technological energy efficiency paradigm. Results reveal that, although most of the policies effectively reduce energy intensity, the research lab is the most efficient in promoting energy efficiency without negative impacts on macroeconomic and public finance conditions. However, the success of this policy requires a long-term commitment, highlighting the importance of complementing this strategy with more “ready to use” measures. The findings also indicate that most policies do not induce significant macroeconomic rebound effects. Concerns about macroeconomic rebound effects may likely be overstated.

Suggested Citation

  • Amendola, Marco & Lamperti, Francesco & Roventini, Andrea & Sapio, Alessandro, 2024. "Energy efficiency policies in an agent-based macroeconomic model," Structural Change and Economic Dynamics, Elsevier, vol. 68(C), pages 116-132.
    • Handle: RePEc:eee:streco:v:68:y:2024:i:c:p:116-132
    DOI: 10.1016/j.strueco.2023.10.003
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    Cited by:

    1. Han, Jie & Zhang, Wei & Liu, Xuemeng & Muhammad, Anas & Li, Zhenjie & Işık, Cem, 2025. "Climate policy uncertainty and green total factor energy efficiency: Does the green finance matter?," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    2. Araujo-Vizuete, Gabriela & Robalino-López, Andrés & Mena-Nieto, Ángel, 2025. "Decoding urban energy use variability: A bottom-up approach in Ecuador," Energy, Elsevier, vol. 327(C).
    3. Bercegol, Hervé, 2025. "An equation for global energy efficiency gains in the long-run," Ecological Economics, Elsevier, vol. 236(C).
    4. Borsato, Andrea & Lorentz, André, 2025. "Public science vs. mission-oriented policies in long-run growth: An agent-based model," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 129-146.
    5. Marco Amendola & Marcelo C. Pereira, 2025. "Are fiscal multipliers state dependent? Insights from an agent-based model," LEM Papers Series 2025/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Amendola, Marco & Pereira, Marcelo C., 2025. "State-dependent impulse responses in agent-based models: A new methodology and an economic application," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).

    More about this item

    Keywords

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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