A multicointegration model of global climate change

被引:16
作者
Bruns, Stephan B. [1 ,2 ]
Csereklyei, Zsuzsanna [3 ]
Stern, David, I [4 ]
机构
[1] Univ Gottingen, Dept Econ, Humboldtallee 3, D-37073 Gottingen, Germany
[2] Hasselt Univ, Ctr Environm Sci, Martelarenlaan 42, B-3500 Hasselt, Belgium
[3] RMIT Univ, Sch Econ Finance & Mkt, B80,445 Swanston St, Melbourne, Vic 3000, Australia
[4] Australian Natl Univ, Crawford Sch Publ Policy, 132 Lennox Crossing, Acton, ACT 2601, Australia
关键词
Time series; Climate science; Measurement error; Polynomial cointegration; Ocean heat content; OCEAN HEAT UPTAKE; SURFACE-TEMPERATURE; SEA-LEVEL; UNIT ROOTS; SENSITIVITY; REGRESSION; EMISSIONS; SYSTEMS; IMPACT; SHIFTS;
D O I
10.1016/j.jeconom.2019.05.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
We model the role of the ocean in climate change, using the concept of multicointegration. Surface temperature and radiative forcing cointegrate and the accumulated cointegration disequilibria represent the change in Earth system heat content, which is predominantly stored in the ocean. System heat content in turn cointegrates with surface temperature. Using a multicointegrating 1(2) model, we find that the climate sensitivity is 2.8 degrees C and the rate of adjustment to equilibrium is realistically slow. These results contrast strongly with those from 1(1) cointegration models and are more consistent with global circulation models. We also estimate Earth system heat content as a latent variable for the full period, 1850-2014, and this predicted heat content cointegrates with available ocean heat content observations for 1940-2014. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:175 / 197
页数:23
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