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This paper describes the structure of the World Integrated Assessment model of global Trade, Environmental, and Climate change (WIATEC).The model consists of a multi-regional multi-sectoral core CGE model linked to a climate model. The core CGE is based on an existing global trade and environment model called GTAP-E (Truong, 1999; Burniaux and Truong, 2002). A suite of different and interchangeable 'modules' are then built around this 'core' to enable the model to be able to handle a range of different policy issues such as CO2 emissions, abatement, trading, non-CO2 (CH4 and N2O) emissions, land use land use change and forestry (LULUCF) activities, and changing technologies in the electricity generation sector. The approach which uses a core model structure with different additional modules built around this core structure allows the overall model to be flexible and can be adapted to a range of different policy issues. We illustrate the usefulness of this approach in a policy experiment which looks at the interaction between emissions trading scheme and the promotion of renewable energy targets in the European Union climate policy.

The present study develops an integrated assessment model (IAM) for food security under climate change for South Asia. For IAM, initially, an econometric model is estimated that identifies the impact of climate change on crop yields, using the historical relationships between temperature, precipitation, and the production of cereals. Subsequently, future projections have been collected for temperature and precipitation from climate models of the Coupled Model Inter-comparison Project Phase 5 (CMIP5), and the previous econometric model is applied to obtain the implied future cereal yields changes. Then, the yield variations are fed into a multiregional Global Trade Analysis Project (GTAP) model, calibrated to the GTAP 9 database, taking the form of decreases in factor-augmenting productivity of the grains sector. Further, the present study evaluates the effects of climate change on an individual South Asian country. The results indicate that change in climate decreases food production, increases food prices, decreases food consumption, and thus affects the welfare. Trade and fiscal policy responses are investigated to combat the problem of food security. It is revealed that these two policies fail to compensate climate change damage in all the selected South Asian countries.

This paper proposes an operationally simple and easily generalizable methodology to incorporate climate change damage uncertainty into Integrated Assessment Models (IAMs). First uncertainty is transformed into a risk measure by extracting damage distribution means and variances from an ensemble of socio economic and climate change scenarios. Then a risk premium is computed under different degrees of risk aversion, quantifying what society would be willing to pay to insure against the uncertainty of the damages. Our estimates show that the premium for the risk is a potentially significant addition to the "standard average damage", but highly sensitive to the attitudes toward risk. In the last research phase, the risk premium is incorporated into the climate change damage function of a widely used IAM which shows, consequently, a substantial increase in both mitigation and adaptation efforts, reflecting a more precautionary attitude by the social planner. Interestingly, adaptation is stimulated more than mitigation in the first half of this century, while the situation reverses afterwards.

Producción Científica ; The estimation of future energy demand is a key factor for the development of effective alternative policies towards a low carbon economy. This paper describes a novel method to estimate the energy demand in the new integrated assessment framework MEDEAS based on the projection of sectoral final energy intensities. The dynamic of each of the sectoral final energy intensity is broken down into (1) improvement in energy efficiency and (2) substitution of the final energy. The speed of changes in these factors depend on physical supply-demand unbalances in the market, climate mitigation and other energy saving policies and the perception of scarcity of the different economic agents. The simulated case studies in MEDEAS-World under the narrative of the Business-as-usual (BAU) scenario have allowed validating the model's robustness and showing the potentiality of its application. ; European Union's Horizon 2020 research and innovation programme under grant agreement No 691287 ; Ministerio de Economía, Industria y Competitividad (Project FJCI-2016-28833)

This paper illustrates the representation of induced technological change in the multi-regional, multi-sectoral integrated assessment model WIAGEM. The main aim of this paper is to investigate quantitatively economic impacts of climate policy measures due to induced technological changes that are considered. Improved technological innovations are triggered by increased R&D expenditures that advance energy efficiencies. Model results show that induced technological changes due to increased investment in R&D reduce compliance costs. Although R&D expenditures compete with other investment expenditures, we find that increased R&D expenditures improve energy efficiency that substantially lowers abatement costs. Without the inclusion of induced technological changes, emission targets are primarily reached by production declines, resulting in overall welfare reductions. With the inclusion of induced technological changes, emission mitigations can achieve fewer production drawbacks. Technological spill over effects also lead to improved terms of trade effects.

This is the final version. Available from IOP Publishing via the DOI in this record. ; No new data were created or analysed in this study. ; Integrated assessment models (IAMs) have emerged as key tools for building and assessing long term climate mitigation scenarios. Due to their central role in the recent IPCC assessments, and international climate policy analyses more generally, and the high uncertainties related to future projections, IAMs have been critically assessed by scholars from different fields receiving various critiques ranging from adequacy of their methods to how their results are used and communicated. Although IAMs are conceptually diverse and evolved in very different directions, they tend to be criticised under the umbrella of 'IAMs'. Here we first briefly summarise the IAM landscape and how models differ from each other. We then proceed to discuss six prominent critiques emerging from the recent literature, reflect and respond to them in the light of IAM diversity and ongoing work and suggest ways forward. The six critiques relate to (a) representation of heterogeneous actors in the models, (b) modelling of technology diffusion and dynamics, (c) representation of capital markets, (d) energy-economy feedbacks, (e) policy scenarios, and (f) interpretation and use of model results. ; European Union Horizon 2020

AbstractAssessment of climate change policies requires aggregation of costs and benefits over time and across generations, a process ordinarily done through discounting. Choosing the correct discount rate has proved to be controversial and highly consequential. To clarify past analysis and guide future work, we decompose discounting along two dimensions. First, we distinguish discounting by individuals, an empirical matter that determines their behavior in models, and discounting by an outside evaluator, an ethical matter involving the choice of a social welfare function. Second, for each type of discounting, we distinguish it due to pure time preference from that attributable to curvature of the pertinent function: utility functions (of consumption) for individuals and the social welfare function (of utilities) for the evaluator. We apply our analysis to leading integrated assessment models used to evaluate climate policies. We find that past work often confounds different sources of discounting, and we offer suggestions for avoiding these difficulties. Finally, we relate the standard intergenerational framework that combines considerations of efficiency and distribution to more familiar modes of analysis that assess most policies in terms of efficiency, leaving distributive concerns to the tax and transfer system.