1,721,455 research outputs found
Replication Data for: Exposure to International Trade Lowers Green Voting and Worsens Environmental Attitudes
No full textData and scripts that allow to replicate the results of the paper "Exposure to International Trade Lowers Green Voting and Worsens Environmental Attitudes", by Charlotte Bez, Valentina Bosetti, Italo Colantone, and Maurizio Zanardi
Carbon Capture and Sequestration: How Much Does this Uncertain Option Affect Near-Term Policy Choices?
Full text linkOne of the main issues in the climate policy agenda, the timing of abatement efforts, hinges on the uncertainties of climate change risks and technological evolution. We use a stochastic optimization framework and jointly explore these two features. First, we embed in the model future potential large-scale availability of Carbon Capture and Storage (CCS) technologies. While non-CCS mitigation that reduces fossil energy use is modelled as exerting inertia on the economic system, mainly due to the durability of the capital in energy systems and to technology lock-in and lock-out phenomena, the implementation of CCS technologies is modelled as implying less resilience of the system to changes in policy directions. Second, climate uncertainty is related in the model to the atmospheric temperature response to an increase in GHGs concentration. Performing different simulation experiments, we find that the environmental target, derived from a cost-benefit analysis, should be more ambitious when CCS is included in the picture. Moreover, the possible future availability of CCS is not a reason to significantly reduce near-term optimal abatement efforts. Finally, the availability of better information on the climate cycle is in general more valuable than better information on the CCS technological option.Climate change, Uncertainty, Sequestration, Cost-benefit analysis
Accounting for Uncertainty Affecting Technical Change in an Economic-Climate Model
Full text linkThe key role of technological change in the decline of energy and carbon intensities of aggregate economic activities is widely recognized. This has focused attention on the issue of developing endogenous models for the evolution of technological change. With a few exceptions this is done using a deterministic framework, even though technological change is a dynamic process which is uncertain by nature. Indeed, the two main vectors through which technological change may be conceptualized, learning through R&D investments and learning-by-doing, both evolve and cumulate in a stochastic manner. How misleading are climate strategies designed without accounting for such uncertainty? The main idea underlying the present piece of research is to assess and discuss the effect of endogenizing this uncertainty on optimal R&D investment trajectories and carbon emission abatement strategies. In order to do so, we use an implicit stochastic programming version of the FEEM-RICE model, first described in Bosetti, Carraro and Galeotti, (2005). The comparative advantage of taking a stochastic programming approach is estimated using as benchmarks the expected-value approach and the worst-case scenario approach. It appears that, accounting for uncertainty and irreversibility would affect both the optimal level of investment in R&D –which should be higher– and emission reductions –which should be contained in the early periods. Indeed, waiting and investing in R&D appears to be the most cost-effective hedging strategy.Stochastic Programming, Uncertainty and Learning, Endogenous Technical Change
A Data Envelopment Analysis Approach to the Assessment of Natural Parks’ Economic Efficiency and Sustainability. The Case of Italian National Parks
Full text linkWilderness protection is a growing necessity for modern societies, and this is particularly true for areas where population density is extremely high, as for example Europe. Conservation, however, implies very high opportunity costs. It is thus crucial to create incentives to efficient management practices, to promote benchmarking and to improve conservation management. In the present paper we propose a methodology based on Data Envelopment Analysis, DEA, a non parametric benchmarking technique specifically developed to assess the relative efficiency of decision-making units. In particular, the objective of the discussed methodology is to assess the relative efficiency of the management units of the protected area and to indicate how it could be improved, by providing a set of guidelines. The main advantage of this methodology is that it allows to assess the efficiency of natural parks’ management not only internally (comparing the performance of the park to itself in time) but also by external benchmarking, thus providing new and different perspectives on potential improvements. Although the proposed methodology is fairly general, we have applied it to the context of Italian National Parks in order to produce a representative case study. Specifically, the choice of adequate cost and benefit indicators is a very important and delicate phase of any benchmark analysis. For this purpose, a questionnaire was used to investigate the opinions of Italian National Parks managers and stakeholders and to define the relevant indicators for the analysis. Finally, relevant policy implications for the case study are given.Data envelopment analysis, Natural park management
Delayed Participation of Developing Countries to Climate Agreements: Should Action in the EU and US be Postponed?
Full text linkThis 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
Modelling Economic Impacts of Alternative International Climate Policy Architectures. A Quantitative and Comparative Assessment of Architectures for Agreement
Full text linkThis paper provides a quantitative comparison of the main architectures for an agreement on climate policy. Possible successors to the Kyoto protocol are assessed according to four criteria: economic efficiency; environmental effectiveness; distributional implications; and their political acceptability which is measured in terms of feasibility and enforceability. The ultimate aim is to derive useful information for designing a future agreement on climate change control.Climate Policy, Integrated Modelling, International Agreements
Abatement Cost Uncertainty and Policy Instrument Selection under a Stringent Climate Policy. A Dynamic Analysis
Full text linkThis paper investigates the relative economic and environmental outcomes of price versus quantity mechanisms to control GHG emissions when abatement costs are uncertain. In particular, we evaluate the impacts on policy costs, CO2 emissions and energy R&D for a stringent mitigation target of 550 ppmv CO2 equivalent (i.e. 450 for CO2 only) concentrations. The analysis is performed in an optimal growth framework via Monte Carlo simulations of the integrated assessment model WITCH (World Induced Technical Change Hybrid). Results indicate that the price instrument stochastically dominates the quantity instrument when a stringent stabilization policy is in place.Abatement Costs, Climate Policy
Reinforcing the EU Dialogue with Developing Countries on Climate Change Mitigation
Full text linkThe FP6 TOCSIN project has evaluated climate change mitigation options in China and India and the conditions for strategic cooperation on research, development and demonstration (RD&D) and technology transfer with the European Union. In particular, the project investigated the strategic dimensions of RD&D cooperation and the challenge of creating incentives to encourage the participation of developing countries in post-2012 GHG emissions reduction strategies and technological cooperation. This paper summarizes the main policy-relevant results of the project, including the requests for: (I) almost immediate decisions on ambitious mitigation; (II) a strong increase in Annex I support regarding R&D spending and technology transfer; (III) a well-designed mix of instruments and targets in an effective climate deal that addresses manifold national interests and concerns.Climate Policy, Technology Transfers
Modelling Economic Impacts of Alternative International Climate Policy Architectures.A Quantitative and Comparative Assessment of Architectures for Agreement
Full text linkThis paper provides a quantitative comparison of the main architectures for an agreement on climate policy. Possible successors to the Kyoto protocol are assessed according to four criteria: economic efficiency; environmental effectiveness; distributional implications; and their political acceptability which is measured in terms of feasibility and enforceability. The ultimate aim is to derive useful information for designing a future agreement on climate change control.climate policy, integrated modelling, international agreements
Linking Reduced Deforestation and a Global Carbon Market: Impacts on Costs, Financial Flows, and Technological Innovation
Full text linkDiscussions of tropical deforestation are currently at the forefront of climate change policy negotiations at national, regional, and international levels. This paper analyzes the effects of linking Reduced Emissions from Deforestation and Forest Degradation (REDD) to a global market for greenhouse gas emission reductions. We supplement a global climate-energy-economy model with alternative cost estimates for reducing deforestation emissions in order to examine a global program for stabilizing greenhouse gas concentrations at 550 ppmv of CO2 equivalent. Introducing REDD reduces global forestry emissions through 2050 by 20-22% in the Brazil-only case and by 64-88% in the global REDD scenario. At the same time, REDD lowers the total costs of the climate policy by an estimated 10-25% depending on which tropical countries participate and whether the “banking†of excess credits for use in future periods is allowed. As a result, REDD could enable additional reductions of at least 20 ppmv of CO2-equivalent concentrations with no added costs compared to an energy-sector only policy. The cost savings from REDD are magnified if banking is allowed and there is a need to increase the stringency of global climate policy in the future in response, for example, to new scientific information. Results also indicate that REDD will decrease carbon prices in 2050 by 8-23% with banking and 11-26% without banking. While developing regions, particularly Latin America, gain the value of REDD opportunities, the decrease in the carbon price keeps the value of international carbon market flows relatively stable despite an increase in volumes transacted. We also estimate that REDD generally reduces the total portfolio of investments and research and development of new energy technologies by 1-10%. However, due to impacts on the relative prices of different fossil fuels, REDD has a slight positive estimated effect on investments in coal-related technologies (IGCC and CCS) as well as, in some cases, non-electric energy R&D. This research confirms that integrating REDD into global carbon markets can provide powerful incentives for the preservation of tropical forests while lowering the costs of global climate change protection and providing valuable policy flexibility.Climate change, deforestation, carbon sinks
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