Uncertain R&D, Backstop Technology and GHGs Stabilization

This paper analyses optimal investments in innovation when dealing with a stringent climate target and with the uncertain effectiveness of R&D. The innovation needed to achieve the deep cut in emissions is modelled by a backstop carbon-free technology whose cost depends on R&D investments. To better represent the process of technological progress, we assume that R&D effectiveness is uncertain. By means of a simple analytical model, we show how accounting for the uncertainty that characterizes technological advancement yields higher investments in innovation and lower policy costs. We then confirm the results via a numerical analysis performed with a stochastic version of WITCH, an energy-economy-climate model. The results stress the importance of a correct specification of the technological change process in economy-climate models.Climate Change, Information and Uncertainty, Environmental Policy, Optimal R&D Investments

The Role of CCS for Attaining Long-term Climate Stabilization

This talk will describe the role that CCS plays in long term scenarios which assess the transformation pathways consistent with long term climate stabilization. I will describe how integrated assessment models describe CCS, and what are the main results in terms of future scenarios. The role of CCS will be assessed with respect to the stringency of long term temperature targets. We will discuss which fuels and which technologies models foresee as the most important one. Finally, I will describe the role of CCS based carbon dioxide removal (CDR), and its role for reaching low targets such as 1.5 and 2°C

Nuclear versus Coal plus CCS: A Comparison of Two Competitive Base-load Climate Control Options

In this paper we analyze the relative importance and mutual behavior of two competing base-load electricity generation options that each are capable of contributing significantly to the abatement of global CO2 emissions: nuclear energy and coal-based power production complemented with CO2 capture and storage (CCS). We also investigate how, in scenarios from an integrated assessment model that simulates the economics of a climate-constrained world, the prospects for nuclear energy would change if exogenous limitations on the spread of nuclear technology were relaxed. Using the climate change economics model WITCH we find that until 2050 the resulting growth rates of nuclear electricity generation capacity become comparable to historical rates observed during the 1980s. Given that nuclear energy continues to face serious challenges and contention, we inspect how extensive the improvements of coal-based power equipped with CCS technology would need to be if our model is to significantly scale down the construction of new nuclear power plants.Economic Competition, Electricity Sector, Nuclear Power, Coal Power, CCS, Renewables, Climate Policy

The WITCH Model. Structure, Baseline, Solutions

WITCH – World Induced Technical Change Hybrid – is a regionally disaggregated hard-link hybrid global model with a neoclassical optimal growth structure (top-down) and a detailed energy input component (bottom-up). The model endogenously accounts for technological change, both through learning curves that affect the prices of new vintages of capital and through R&D investments. The model features the main economic and environmental policies in each world region as the outcome of a dynamic game. WITCH belongs to the class of Integrated Assessment Models as it possesses a climate module that feeds climate changes back into the economy. Although the model’s main features are discussed elsewhere (Bosetti et al., 2006), here we provide a more thorough discussion of the model’s structure and baseline projections, to describe the model in greater detail. We report detailed information on the evolution of energy demand, technology and CO2 emissions. We also explain the procedure used to calibrate the model parameters. This report is therefore meant to provide effective support to those who intending to use the WITCH model or interpret its results.Climate Policy, Hybrid Modelling, Integrated Assessment, Technological Change

Delayed Participation of Developing Countries to Climate Agreements: Should Action in the EU and US be Postponed?

This paper analyses the cost implications for climate policy in developed countries if developing countries are unwilling to adopt measures to reduce their own GHG emissions. First, we assume that a 450 CO2 (550 CO2e) ppmv stabilisation target is to be achieved and that Non Annex1 (NA1) countries decide to delay their GHG emission reductions by 30 years. What would be the cost difference between this scenario and a case in which both developed and developing countries start reducing their emissions at the same time? Then, we look at a scenario in which the timing of developing countries’ participation is uncertain and again we compute the costs of climate policy in developed and developing countries. We findthat delayed participation of NA1 countries has a negative impact on climate policy costs. Economic inefficiencies can be as large as 10-25 TlnUSD. However, this additional cost wanes when developing countries are allowed to trade emission reductions from their baseline emission paths during the 30-year delay period. Thus, irrespective of whether NA1 countriesare immediately assigned an emission reduction target or not, they should nonetheless be included in a global carbon market. Technology deployment is also affected by the timing of developing countries’ mitigation measures. Delayed NA1-country participation in a climateagreement would scale down the deployment of coal with CCS throughout the century. Onthe other hand, innovation in the form of energy R&D investments would be positivelyaffected, since it would become crucial in developed countries. Finally, uncertainty about the timing of NA1-country participation does not modify the optimal abatement strategy for developed countries and does not alter policy costs as long as a global carbon market is in place.delayed action, climate policy, stabilisation costs, uncertain participation

Climate Change Mitigation Strategies in Fast-Growing Countries: The Benefits of Early Action

This paper builds on the assumption that OECD countries are (or will soon be) taking actions to reduce their greenhouse gas emissions. These actions, however, will not be sufficient to control global warming, unless developing countries also get involved in the cooperative effort to reduce GHG emissions. This paper investigates the best short-term strategies that emerging economies can adopt in reacting to OECD countries’ mitigation effort, given the common long-term goal to prevent excessive warming without hampering economic growth. Results indicate that developing countries would incur substantial economic losses by following a myopic strategy that disregards climate in the short-run, and that their optimal investment behaviour is to anticipate the implementation of a climate policy by roughly 10 years. Investing in innovation ahead of time is also found to be advantageous. The degree of policy anticipation is shown to be important in determining the financial transfers of an international carbon market meant to provide incentives for the participation of developing countries. This is especially relevant for China, whose recent and foreseeable trends of investments in innovation are consistent with the adoption of domestic emission reduction obligations in 2030.Energy-economy Modeling, Climate Policy, Developing Countries

Climate Change Mitigation Strategies in Fast-Growing Countries: The Benefits of Early Action

This paper builds on the assumption that OECD countries are (or will soon be) taking actions to reduce their greenhouse gas emissions. These actions, however, will not be sufficient to control global warming, unless developing countries also get involved in the cooperative effort to reduce GHG emissions. This paper investigates the best short-term strategies that emerging economies can adopt in reacting to OECD countries’ mitigation effort, given the common long-term goal to prevent excessive warming without hampering economic growth. Results indicate that developing countries would incur substantial economic losses by following a myopic strategy that disregards climate in the short-run, and that their optimal investment behaviour is to anticipate the implementation of a climate policy by roughly 10 years. Investing in innovation ahead of time is also found to be advantageous. The degree of policy anticipation is shown to be important in determining the financial transfers of an international carbon market meant to provide incentives for the participation of developing countries. This is especially relevant for China, whose recent and foreseeable trends of investments in innovation are consistent with the adoption of domestic emission reduction obligations in 2030.energy-economy modelling, climate policy, developing countries

Alternative Paths toward a Low Carbon World

This paper analyzes the economic and investment implications of a series of climate mitigation scenarios, characterized by different levels of ambition in terms of long term stabilization goals and the transition to attain them. In particular, the implications of fairly ambitious scenarios are investigated for the first time by means of the model WITCH. Although milder climate objectives can be achieved at moderate costs, our results show that stringent stabilization paths, compatible with the target of the European Union and the G8, might have important economic repercussions. The timing of mitigation action influences the cost of meeting a target as well the stringency of the targets we can aspire to. To contain costs it is crucial to rely on a wide mitigation portfolio. Strong reductions in energy consumption through enhanced energy efficiency and life style changes are needed to achieve stringent climate policies. The analysis carried out in the present paper contains several idealistic assumptions that could be violated in the real world where some technologies may not be fully available, technology transfers and diffusion are imperfect, some world regions may not accept to reduce their GHG emissions, trading might be limited to some sectors or to a fraction of the total abatement effort, etc. This would increase the challenge of climate protection and the costs of reducing GHG emissions.Climate Policy, Stabilization Costs

Climate Change Mitigation Strategies in Fast-Growing Countries: The Benefits of Early Action

This paper builds on the assumption that OECD countries are (or will soon be) taking actions to reduce their greenhouse gas emissions. These actions, however, will not be sufficient to control global warming, unless developing countries also get involved in the cooperative effort to reduce GHG emissions. This paper investigates the best short-term strategies that emerging economies can adopt in reacting to OECD countries’ mitigation effort, given the common long-term goal to prevent excessive warming without hampering economic growth. Results indicate that developing countries would incur substantial economic losses by following a myopic strategy that disregards climate in the short-run, and that their optimal investment behaviour is to anticipate the implementation of a climate policy by roughly 10 years. Investing in innovation ahead of time is also found to be advantageous. The degree of policy anticipation is shown to be important in determining the financial transfers of an international carbon market meant to provide incentives for the participation of developing countries. This is especially relevant for China, whose recent and foreseeable trends of investments in innovation are consistent with the adoption of domestic emission reduction obligations in 2030.Energy-economy modeling, Climate Policy, Developing Countries

Forestry and the Carbon Market Response to Stabilize Climate

This paper investigates the potential contribution of forestry management in meeting a CO2 stabilization policy of 550 ppmv by 2100. In order to assess the optimal response of the carbon market to forest sequestration we couple two global models. An energy-economy-climate model for the study of climate policies is linked with a detailed forestry model through an iterative procedure to provide the optimal abatement strategy. Results show that forestry is a determinant abatement option and could lead to significantly lower policy costs if included. Linking forestry management to the carbon market has the potential to delay the policy burden, and is expected to reduce the price of carbon of 40% by 2050. Biological sequestration will mostly come from avoided deforestation in tropical forests rich countries. The inclusion of this mitigation option is demonstrated to crowd out some of the traditional abatement in the energy sector and to lessen induced technological change in clean technologies.Forestry, Climate Policy, Technological Innovation