EU-ETS and Nordic Electricity: A CVAR Analysis

Abstract

A cointegrated vector autoregressive (CVAR) model is estimated to determine the dynamic relationship between Nordic wholesale electricity prices and EU emissions trading scheme (EU-ETS) CO2 allowance prices. An impulse response analysis reveals that electricity prices have large short-term responses to CO2 price shocks, but that this response dampens over time. Using hourly Nordic electricity spot market prices, I find that the value of short-term response of electricity prices to a shock in CO2 prices in off-peak hours is consistent with expected values for near complete pass-through of CO2 emission costs when coal-generated power is at the margin. Likewise, the estimates reveal that peak hour electricity price responses to CO2 price shocks are as expected for a market that has near complete pass-through of CO2 emission costs when natural gas-generated power is at the margin. These results further suggest the Nordic electricity market is pricing as a competitive market.

Keywords

EU-ETS Nordic electricity CVAR model CO2 emissions

References

Alberola

Chevallier

Cheze

(2008). “Price Drivers and Structural Breaks in European Carbon Prices 2005-2007.” Energy Policy, 36: 787-97.

Bunn

D.W.

Fezzi

(2007). “Interaction of European Carbon Trading and Energy Prices.” The Fondazione Eni Enrico Mattei Note di Lavoro Series. Fondazione Eni Enrico Mattei.

Burtraw

Palmer

(2008). “Compensation Rules for Climate Policy in the Electricity Sector.” Journal of Policy Analysis and Management, 27(4): 819-47.

Burtraw

Palmer

Bharvirkar

Paul

(2002). “The Effect on Asset Values of the Allocation of Carbon Dioxide Emission Allowances.” Electricity Journal, 15(5): 51-62.

Burtraw

Palmer

Kahn

(2005). “Allocation of CO2 Emissions Allowances in the Regional Greenhouse Gas Cap-and-Trade Program.” RFF Discussion Papers. Resources for the Future.

Chen

Sijm

Hobbs

Wietze

(2008). “Implications of CO2 Emissions Trading for Short-run Electricity Market Outcomes in Northwest Europe.” Journal of Regulatory Economics, in press

Ellerman

A.D.

Buchner

B.K.

(2007). “The European Union Emissions Trading Scheme: Origins, Allocation, and Early Results.” Review of Environmental Economics and Policy, 1(1): 66-87.

Elliott

Rothenberg

T.J.

Stock

J.H.

(1996). “Efficient Tests for an Autoregressive Unit Root.” Econometrica, 55: 251-76.

Franses

P.H.

Haldrup

(1994). “The Effects of Additive Outliers on Tests for Unit Roots and Cointegration.” Journal of Business & Economic Statistics, 12(4): 471-78

10.

Gonzalo

(1994). “Five Alternative Methods of Estimating Long-run Equilibrium Relationships.” Journal of Econometrics, 60(1): 203-33.

11.

Hauch

(2003). “Electricity Trade and CO2 Emissions Reduction in the Nordic Countries.” Energy Economics, 25: 509-26.

12.

Johansen

(1991). “Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models.” Econometrica, 59: 1551-80.

13.

Johansen

(1996). Likelihood-Based Inference in Cointegrated Vector Auto-regressive Models. New York: Oxford University Press.

14.

Kara

Syri

Lehtila

Helynen

Kekkonen

Ruska

Forsstrom

(2008). “The Impacts of EU CO2 Emissions Trading on Electricity Markets and Electricity Consumers in Finland.” Energy Economics, 30: 193-211.

15.

Kauppi

Liski

(2008). “An Empirical Model of Imperfect Dynamic Competition and Application to Hydroelectricity Storage.” HEREC Discussion Papers. Helsinki Center of Economic Research.

16.

Koopman

S.J.

Ooms

Carnero

M.A.

(2007). “Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices.” Journal of the American Statistical Association, 102(477): 16-27.

17.

Lanne

Lutkepohl

Saikkonen

(2002). “Comparison of Unit Root Tests for Time Series with Level Shifts.” Journal of Time Series Analysis, 23(6): 667-85.

18.

Linares

Santos

F.J.

Vestosa

Franscisco

Lapiedra

(2006). “Impacts of the European Emissions Trading Scheme Directive and Permit Assignment Method on the Spanish Electricity Sector.” The Energy Journal, 27(1): 79-98.

19.

Lutkepohl

(2005). New Introduction to Multiple Time Series Analysis. Berlin: Springer-Verlag.

20.

MacKinnon

J.G.

(1994). “Approximate Asymptotic Distribution Functions for Unit-root and Cointegration Tests.” Journal of Business & Economic Statistics, 12(2): 167-76.

21.

Mansanet-Bataller

Pardo

Valor

(2007). “CO2 Prices, Energy and Weather.” The Energy Journal, 28(3): 67-86.

22.

Pesaran

Shin

(1998). “Generalized Impulse Response Analysis in Linear Multivariate Models.” Economics Letters, 58, pp. 17-29.

23.

Rahbek

Anders

Mosconi

(1999). “Cointegration Rank Inference with Stationary Regressors in VAR Models.” Econometrics Journal, 2: 79-91.

24.

Sijm

Bakker

S.J.A.

Chen

Harmsen

H.W.

Lise

(2005). “CO2 Price Dynamics: The Implications of EU Emissions Trading for the Price of Electricity.” Energy Research Center of the Netherlands.

25.

Sijm

Neuhoff

Chen

(2006). “CO2 Cost Pass-through and Windfall Profits in the Power Sector.” Climate Policy, 6: 49-72.

26.

Sims

C.A.

(1980). “Macroeconomics and Reality.” Econometrica, 48(10): 1-48.

27.

Toda

H.Y.

Phillips

P.C.B.

(1994). “Vector Autoregression and Causality: A Theoretical Overview and Simulation Study.” Econometric Reviews, 13(2): 259-85.

28.

Zachman

von Hirschhausen

(2007). “First Evidence of Asymmetric Cost Pass-Through of EU Emissions Allowances: Examining the Wholesale Electricity Prices in Germany.” Center for Energy and Environmental Policy Research.