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Emissions	
  Intensity	
  Targe0ng:	
  
From	
  China's	
  12th	
  Five	
  Year	
  Plan	
  to	
  its	
  
Copenhagen	
  Commitment
Yingying	
  Lu	
  
Centre	
  for	
  Applied	
  Macroeconomic	
  Analysis	
  
Crawford	
  School	
  of	
  Public	
  Policy	
  
2012	
  Crawford	
  PhD	
  conference,	
  November	
  27,	
  2012
Mo?va?on
In	
  2010,	
  energy	
  
related	
  CO2	
  
emissions	
  from	
  
China,	
  accounted	
  
for	
  a	
  quarter	
  of	
  the	
  
world	
  total.
China	
  is	
  currently	
  the	
  
world’s	
  largest	
  single	
  
source	
  of	
  fossil	
  fuel	
  
related	
  CO2	
  emissions.
Source:	
  EIA	
  staDsDcs.
Mo?va?on
•  China’s	
  Response	
  
–  Interna?onal	
  commitment:	
  the	
  Copenhagen	
  Commitment	
  
•  By	
  2020,	
  emissions	
  intensity	
  reduced	
  by	
  40%-­‐45%	
  rela0ve	
  to	
  2005	
  
–  Domes?c	
  commitment:	
  the	
  12th	
  Five-­‐Year-­‐Plan	
  
•  By	
  2015,	
  emissions	
  intensity	
  reduced	
  by	
  17%	
  rela0ve	
  to	
  2010	
  
Mo?va?on
2010 2015 2020
Start	
  of	
  
12-­‐5YP
End	
  of	
  
12-­‐5YP
12-­‐5YP	
  emissions	
  intensity	
  
reduc0on	
  target
Copenhagen	
  emissions	
  
intensity	
  reduc0on	
  target
Cut-­‐off	
  of	
  
Copenhagen	
  Accord
 If	
  both	
  targets	
  are	
  just	
  met….	
  
 Emissions	
  intensity	
  VS.	
  
emissions	
  level	
  
 Future	
  uncertain?es	
  
2012
Regime	
  transi0on
Mr.	
  Hu Mr.	
  Xi
Research	
  Ques?ons
•  How	
  stringent	
  are	
  the	
  two	
  targets	
  in	
  terms	
  of	
  absolute	
  
emissions	
  reduc?ons?	
  
•  What	
  is	
  the	
  rela?onship	
  between	
  China’s	
  2015	
  domes?c	
  
commitment	
  and	
  its	
  2020	
  Copenhagen	
  commitment?	
  
•  	
  What	
  are	
  the	
  policy	
  implica?ons	
  of	
  targe?ng	
  emissions	
  
intensity?	
  How	
  do	
  these	
  differ	
  from	
  emissions	
  level	
  targe?ng?	
  
•  How	
  to	
  appropriately	
  model	
  intensity	
  targets,	
  par?cularly	
  
when	
  future	
  uncertainDes	
  are	
  important?
Modelling	
  Approach
•  G-­‐Cubed	
  model	
  (developed	
  by	
  McKibbin	
  &	
  Wilcoxen)	
  
–  Version	
  108E:	
  9	
  regions,	
  12	
  sectors	
  (6	
  energy	
  sectors)	
  
•  Assump?ons	
  about	
  climate	
  policy	
  
–  In	
  the	
  form	
  of	
  carbon	
  tax	
  
–  A	
  par?cular	
  rule	
  of	
  carbon	
  tax	
  path:	
  increase	
  by	
  4%	
  each	
  year	
  
–  Recycling	
  of	
  carbon	
  tax	
  revenues	
  	
  
•  Policy	
  simula?on	
  algorithm	
  
Baseline	
  Projec?on-­‐-­‐China
Real	
  GDP	
  projec?ons CO2	
  emissions	
  projec?ons
CO2	
  emissions	
  intensity	
  projec?ons
Policy	
  Scenarios
2013
Scenario	
  
CH20
2013
Scenario	
  
CH1520_Q
2015 2020
Tax	
  path	
  from	
  
CH1520	
  ?ll	
  2015
Cumula?ve	
  emissions	
  over	
  
2013-­‐2020	
  from	
  CH20
Just	
  hit!
Just	
  hit! Just	
  hit!
2020	
  
Intensity	
  
Target
2015	
  
Intensity	
  
Target
2013
Scenario	
  
CH1520
2020	
  
Intensity	
  
Target
Results:	
  Carbon	
  Tax	
  Path
Source: Policy simulations from G-Cubed (version 108E).
Carbon	
  tax	
  paths	
  from	
  all	
  the	
  policy	
  scenarios	
  under	
  baseline
A	
  tax	
  rate	
  jump	
  under	
  the	
  
par0cular	
  policy	
  rule!
Results:	
  GDP	
  and	
  Emissions	
  
Devia?ons	
  of	
  real	
  GDP	
  
rela?ve	
  to	
  baseline
Devia?ons	
  of	
  emissions	
  
rela?ve	
  to	
  baseline
Source: Policy simulations from G-Cubed (version 108E).
 Less	
  cumula?ve	
  emissions	
  
reduced	
  in	
  CH1520	
  
 Less	
  cumula?ve	
  GDP	
  loss	
  
in	
  CH1520	
  
 But	
  targe?ng	
  cumula?ve	
  
emissions	
  (CH1520_Q)	
  will	
  
incur	
  more	
  GDP	
  loss.
Sensi?vity	
  Analysis:	
  Baseline	
  Assump?ons
Emissions	
  intensi?es	
  based	
  
on	
  different	
  baseline	
  
assump?ons
CH1520	
  scenarios	
  based	
  on	
  
different	
  baselines
Source: Policy simulations from G-Cubed (version 108E).
The	
  results	
  are	
  qualita?vely	
  
robust	
  with	
  different	
  
baseline	
  assump?ons.
Sensi?vity	
  Analysis:	
  Unexpected	
  shocks
Source: Policy simulations from G-Cubed (version 108E).
In	
  high-­‐growth	
  periods,	
  the	
  policy	
  is	
  eased	
  under	
  emissions	
  intensity	
  targe?ng.	
  
In	
  low-­‐growth	
  periods,	
  an	
  intensity	
  target	
  further	
  restricts	
  the	
  emissions	
  
growth.
Thank you for your attention!
Policy	
  simula?on	
  algorithm	
  
Yinying PhD Conference 2012
Yinying PhD Conference 2012
Yinying PhD Conference 2012

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Yinying PhD Conference 2012

  • 1. Emissions  Intensity  Targe0ng:   From  China's  12th  Five  Year  Plan  to  its   Copenhagen  Commitment Yingying  Lu   Centre  for  Applied  Macroeconomic  Analysis   Crawford  School  of  Public  Policy   2012  Crawford  PhD  conference,  November  27,  2012
  • 2. Mo?va?on In  2010,  energy   related  CO2   emissions  from   China,  accounted   for  a  quarter  of  the   world  total. China  is  currently  the   world’s  largest  single   source  of  fossil  fuel   related  CO2  emissions. Source:  EIA  staDsDcs.
  • 3. Mo?va?on •  China’s  Response   –  Interna?onal  commitment:  the  Copenhagen  Commitment   •  By  2020,  emissions  intensity  reduced  by  40%-­‐45%  rela0ve  to  2005   –  Domes?c  commitment:  the  12th  Five-­‐Year-­‐Plan   •  By  2015,  emissions  intensity  reduced  by  17%  rela0ve  to  2010  
  • 4. Mo?va?on 2010 2015 2020 Start  of   12-­‐5YP End  of   12-­‐5YP 12-­‐5YP  emissions  intensity   reduc0on  target Copenhagen  emissions   intensity  reduc0on  target Cut-­‐off  of   Copenhagen  Accord  If  both  targets  are  just  met….    Emissions  intensity  VS.   emissions  level    Future  uncertain?es   2012 Regime  transi0on Mr.  Hu Mr.  Xi
  • 5. Research  Ques?ons •  How  stringent  are  the  two  targets  in  terms  of  absolute   emissions  reduc?ons?   •  What  is  the  rela?onship  between  China’s  2015  domes?c   commitment  and  its  2020  Copenhagen  commitment?   •   What  are  the  policy  implica?ons  of  targe?ng  emissions   intensity?  How  do  these  differ  from  emissions  level  targe?ng?   •  How  to  appropriately  model  intensity  targets,  par?cularly   when  future  uncertainDes  are  important?
  • 6. Modelling  Approach •  G-­‐Cubed  model  (developed  by  McKibbin  &  Wilcoxen)   –  Version  108E:  9  regions,  12  sectors  (6  energy  sectors)   •  Assump?ons  about  climate  policy   –  In  the  form  of  carbon  tax   –  A  par?cular  rule  of  carbon  tax  path:  increase  by  4%  each  year   –  Recycling  of  carbon  tax  revenues     •  Policy  simula?on  algorithm  
  • 7. Baseline  Projec?on-­‐-­‐China Real  GDP  projec?ons CO2  emissions  projec?ons CO2  emissions  intensity  projec?ons
  • 8. Policy  Scenarios 2013 Scenario   CH20 2013 Scenario   CH1520_Q 2015 2020 Tax  path  from   CH1520  ?ll  2015 Cumula?ve  emissions  over   2013-­‐2020  from  CH20 Just  hit! Just  hit! Just  hit! 2020   Intensity   Target 2015   Intensity   Target 2013 Scenario   CH1520 2020   Intensity   Target
  • 9. Results:  Carbon  Tax  Path Source: Policy simulations from G-Cubed (version 108E). Carbon  tax  paths  from  all  the  policy  scenarios  under  baseline A  tax  rate  jump  under  the   par0cular  policy  rule!
  • 10. Results:  GDP  and  Emissions   Devia?ons  of  real  GDP   rela?ve  to  baseline Devia?ons  of  emissions   rela?ve  to  baseline Source: Policy simulations from G-Cubed (version 108E).  Less  cumula?ve  emissions   reduced  in  CH1520    Less  cumula?ve  GDP  loss   in  CH1520    But  targe?ng  cumula?ve   emissions  (CH1520_Q)  will   incur  more  GDP  loss.
  • 11. Sensi?vity  Analysis:  Baseline  Assump?ons Emissions  intensi?es  based   on  different  baseline   assump?ons CH1520  scenarios  based  on   different  baselines Source: Policy simulations from G-Cubed (version 108E). The  results  are  qualita?vely   robust  with  different   baseline  assump?ons.
  • 12. Sensi?vity  Analysis:  Unexpected  shocks Source: Policy simulations from G-Cubed (version 108E). In  high-­‐growth  periods,  the  policy  is  eased  under  emissions  intensity  targe?ng.   In  low-­‐growth  periods,  an  intensity  target  further  restricts  the  emissions   growth.
  • 13. Thank you for your attention!