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Analyze the implications of delayed versus immediate participation of developing regions in an international climate agreement and determine the optimal investment strategies of emerging economies in response to a future commitment. Explore the potential benefits of policy anticipation and the use of an international carbon market as an accession deal.
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Motivation OECD countries are (or will soon be) taking actions to reduce greenhouse gas emissions Major emerging economies will face pressures to get involved in the cooperative effort to reduce GHG emissions Analyze the implications of delayed versus immediate participation of developing regions in an international climate agreement Optimal investment strategies of emerging economies in response to a future commitment International carbon market as accession deal 1
EMF22 International Scenarios EMF22 modeling comparison exercise: 10 models X 10 scenarios Main results and complete dataset accessible (http://www.stanford.edu/group/EMF/projects/EMF22) Papers being published on Energy Economics Scenario design: Long term stabilization targets: 2.6,3.7,3.7OS,4.5 W/m^2 Rate of international participation: immediate (all in 2015), myopic (BRICs @ BAU till 2030, ROW till 2050, join afterwards) Degree of policy anticipation: foresight (non signatories can anticipate future policies) Analysis carried out with the I.A.M. WITCH (www.feem-web.it/WITCH) 2
The challenge of sharing the burden Source: EIA for the 1992, 1997 and 2030 projections. 2007 estimate is from MNP and BP 3
Stabilization pathways • Energy-related CO2 emissions in the BAU and the stabilization scenarios for the WITCH model 4
Costs of delayed participation • Global macro-economic costs of climate stabilization policies • (GWP losses with respect to Business as Usual, annualized at 5% discount rate). 6
Costs of delayed participation • Global macro-economic costs of climate stabilization policies • (GWP losses with respect to Business as Usual, annualized at 5% discount rate). 7
Some Forces affecting non-participatory countries • Relax the assumption that non-signatories invest as in BAU, allow for foresight: • Fossil fuel prices: leakage due to lower consumption and prices • Technological spillovers: international flows of knowledge and experience. • Policy anticipation: when perfect foresight is accounted for, countries ‘price-in’ the future carbon price in their investment choices and, given the low turnover of energy capital and the lag time in the innovation processes, adjust their portfolio of investments accordingly. • Compare with myopic and immediate cases 10
Optimal Investments in China Nuclear power additions (5 yrs) Energy R&D Investments (Blns USD) China nuclear power plans: - 4 GW Red River under constr. - 2020: 40/60 GW • China innovation plans: • Total R&D now at 1.5% GDP (40 Billions), target of 2.5% in 2020 • if energy R&D is 2% of tot R&D, 4 Blns in 2020 14
International carbon market • The negative effects of delayed participation can be mitigated (besides via policy anticipation) by using carbon trading as an accession incentive and a mean to equalize marginal cost. • The question is what allocation should be negotiated and what transfers would it imply: • non-signatories at myopic BAU • non-signatories at foresight 18
International carbon market Financial transfers (USD Billions,+ outflow, - inflow) 19
Conclusions • Delayed participation of emerging economies (BRIC) in an international climate agreement • increase policy costs significantly • limited for non stringent climate targets and overshoot • Policy foresight has the potential to significantly ease the mark up of delayed participation. • Optimal investment behavior for emerging economies is to anticipate their participation in a climate policy by roughly 10 years. • China actual and projected trends in green innovation and low carbon technologies compatible with the adoption of an emission mitigation policy by 2030 • The degree of policy anticipation is shown to be important in determining the financial transfers of an international carbon market. 20
The WITCH model Analysis carried out with the I.A.M. WITCH (Bosetti et al, 2006) Hybrid energy-economy-climate model Perfect foresight, dynamic optimization of world economies Technological change via experience and innovation processes Game-theoretical set up 21