Arbeitspapier

Dynamic determinants of optimal global climate policy

We explore how optimal emission abatement trajectories are affected by dynamic characteristics of greenhouse-gas emitting systems, such as inertia, induced innovation, and pathdependency, by formulating a compact and analytically tractable model with stylized damage assumptions to derive the optimal cost-benefit pathway. Our analytic solutions highlight how simple dynamic parameters affect the optimal abatement trajectory (including the optimal current effort and the cost of delay). The conventional cost-benefit result (i.e., an optimal policy with rising marginal costs that reflects discounted climate damages) arises only as a special case in which the dynamic characteristics of emitting systems are assumed to be insignificant. More generally, our model yields useful policy insights for the transition to deep decarbonization, showing that enhanced early action may greatly reduce both damages and abatement costs in the long run.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. TI 2023-063/VI

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
Climate; Natural Disasters and Their Management; Global Warming
Thema
abatement
DICE
energy economics
inertia
innovation
path dependence
transition

Ereignis
Geistige Schöpfung
(wer)
Grubb, Michael
Lange, Rutger-Jan
Cerkez, Nicolas
Salas, Pablo
Sognnaes, Ida
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Grubb, Michael
  • Lange, Rutger-Jan
  • Cerkez, Nicolas
  • Salas, Pablo
  • Sognnaes, Ida
  • Tinbergen Institute

Entstanden

  • 2023

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