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

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) econometri...

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Main Authors: Matthew K. Heun, João Santos, Paul E. Brockway, Randall Pruim, Tiago Domingos, Marco Sakai
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Energies
Subjects:
CES
Online Access:http://www.mdpi.com/1996-1073/10/2/203
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spelling doaj-a92fb2868f8a488ea35c42de469564112020-11-24T22:20:49ZengMDPI AGEnergies1996-10732017-02-0110220310.3390/en10020203en10020203From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production FunctionsMatthew K. Heun0João Santos1Paul E. Brockway2Randall Pruim3Tiago Domingos4Marco Sakai5Engineering Department, Calvin College, Grand Rapids, MI 49546, USAMARETEC—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, PortugalSustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKMathematics & Statistics Department, Calvin College, Grand Rapids, MI 49546, USAMARETEC—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, PortugalSustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKDevelopment 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.http://www.mdpi.com/1996-1073/10/2/203energy policyeconometricsCESSolow residualcost share principle
collection DOAJ
language English
format Article
sources DOAJ
author Matthew K. Heun
João Santos
Paul E. Brockway
Randall Pruim
Tiago Domingos
Marco Sakai
spellingShingle Matthew K. Heun
João Santos
Paul E. Brockway
Randall Pruim
Tiago Domingos
Marco Sakai
From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions
Energies
energy policy
econometrics
CES
Solow residual
cost share principle
author_facet Matthew K. Heun
João Santos
Paul E. Brockway
Randall Pruim
Tiago Domingos
Marco Sakai
author_sort Matthew K. Heun
title From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions
title_short From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions
title_full From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions
title_fullStr From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions
title_full_unstemmed From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions
title_sort from theory to econometrics to energy policy: cautionary tales for policymaking using aggregate production functions
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2017-02-01
description 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.
topic energy policy
econometrics
CES
Solow residual
cost share principle
url http://www.mdpi.com/1996-1073/10/2/203
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