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From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions

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  • Matthew K. Heun

    (Engineering Department, Calvin College, Grand Rapids, MI 49546, USA)

  • João Santos

    (MARETEC—Marine, Environment, and Technology Center, Environment and Energy Scientific Area, Department of Mechanical Engineering, Instituto Superior Técnico (IST), University of Lisbon, Avenida Rovisco Pais, 1 1049-001 Lisbon, Portugal)

  • Paul E. Brockway

    (Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK)

  • Randall Pruim

    (Mathematics & Statistics Department, Calvin College, Grand Rapids, MI 49546, USA)

  • Tiago Domingos

    (MARETEC—Marine, Environment, and Technology Center, Environment and Energy Scientific Area, Department of Mechanical Engineering, Instituto Superior Técnico (IST), University of Lisbon, Avenida Rovisco Pais, 1 1049-001 Lisbon, Portugal)

  • Marco Sakai

    (Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK)

Abstract

Development of energy policy is often informed by economic considerations via aggregate production functions (APFs). We identify a theory-to-policy process involving APFs comprised of six steps: (1) selecting a theoretical energy-economy framework; (2) formulating modeling approaches; (3) econometrically fitting an APF to historical economic and energy data; (4) comparing and evaluating modeling approaches; (5) interpreting the economy; and (6) formulating energy and economic policy. We find that choices made in Steps 1–4 can lead to very different interpretations of the economy (Step 5) and policies (Step 6). To investigate these effects, we use empirical data (Portugal and UK) and the Constant Elasticity of Substitution (CES) APF to evaluate four modeling choices: (a) rejecting (or not) the cost-share principle; (b) including (or not) energy; (c) quality-adjusting (or not) factors of production; and (d) CES nesting structure. Thereafter, we discuss two revealing examples for which different upstream modeling choices lead to very different policies. In the first example, the (kl)e nesting structure implies significant investment in energy, while other nesting structures suggest otherwise. In the second example, unadjusted factors of production suggest balanced investment in labor and energy, while quality-adjusting suggests significant investment in labor over energy. Divergent outcomes provide cautionary tales for policymakers: greater understanding of upstream modeling choices and their downstream implications is needed.

Suggested Citation

  • Matthew K. Heun & João Santos & Paul E. Brockway & Randall Pruim & Tiago Domingos & Marco Sakai, 2017. "From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions," Energies, MDPI, vol. 10(2), pages 1-44, February.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:203-:d:89993
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