open access publication

Article, 2023

Climate, wind energy, and CO emissions from energy production in Denmark

Energy Economics, ISSN 0140-9883, Volume 125, 10.1016/j.eneco.2023.106821

Contributors

Carlini F. [1] Christensen B.J. 0000-0001-8448-9752 (Corresponding author) [2] Datta Gupta N. 0000-0001-7904-445X [2] Santucci de Magistris P. 0000-0002-6526-4803 [1] [2]

Affiliations

  1. [1] LUISS University
  2. [NORA names: Italy; Europe, EU; OECD];
  3. [2] Aarhus University
  4. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

The dynamic relation between CO emissions and wind energy in Denmark is analyzed using a fractional cointegration approach, extended to accommodate covariates. The impact of climate and forces of demand on the potential of wind power production for emissions abatement is investigated. Emissions decline as temperature increases. Wind power production increases with precipitation and North Atlantic oscillations. Aggregate output matters for emissions in a manner consistent with an environmental Kuznets curve (EKC). Accounting for a seasonal trend, our main estimate of marginal CO emissions avoided (MEA) per MWh of wind energy produced is 0.16 tonnes, based on impulse responses. This estimate of the abatement potential of wind power is lower than values reported in the literature, but statistically significant, and robust to including climate and EKC variables. MEA is reduced by about one third by treating electricity prices as endogenous, and by one quarter by including emissions from combustion of biomass. However, formal exogeneity tests indicate that the main MEA estimate is not inflated due to left-out general equilibrium effects. Without covariates, estimated MEA is 0.07, and insignificant.

Keywords

CO emissions, Climate, Demand, Fractional cointegration

Funders

  • Danish Meteorological Institute
  • 6th Conference on Econometric
  • Center for Research in Econometric Analysis of TimE Series
  • Danmarks Grundforskningsfond
  • Samfund og Erhverv, Det Frie Forskningsråd

Data Provider: Elsevier