Impacts of Sea Level Rise on Economic Growth in Developing Asia

Global sea level rise (SLR) variations have undeniably begun to make an impact on highly vulnerable economies. These impacts of SLR are a key component of the projected economic damage of climate change, an important input to climate change policies and adaptive measures. This paper considers SLR projections and its impact on the economy and includes a consolidation of various related studies. Estimated global gross domestic product (GDP) loss by 2100 ranges from 0.3% to as high as of 9.3% (Hinkel et al. 2014; Pycroft, Abrell, and Ciscar 2015). Climate change impact should be addressed at the global level through a locally focused effort where education and acceptance by all stakeholders are crucial and warranted. Further, this paper tackles several adaptive strategies as a response to SLR which include retreat, accommodation, and protection. The retreat strategy simulates that SLR causes the loss of inundated land and incurs planned relocation (migration) costs above a certain sea level. The accommodation strategy allows usage of vulnerable areas or land and limits damage by floodproofing or raising structures. Finally, the protection strategy projects that land will be protected from SLR damage by sea walls or other barriers of a certain height. On the other hand, Diaz (2016) estimates a median adaptation cost from migration at 16% of GDP under the least-cost strategy by 2050. In general, the education of and the acceptance by the concerned local community will be crucial in the successful implementation of SLR adaptation strategies, notwithstanding parallel mitigation efforts on a global scale

Integrated Assessment of Climate Catastrophes with Endogenous Uncertainty: Does the Risk of Ice Sheet Collapse Justify Precautionary Mitigation?

Greenhouse gas policies confront the trade-off between the costs of reducing emissions and the benefits of avoided climate change. The risk of uncertain and potentially irreversible catastrophes is an important issue related to the latter, and one that has not yet been well incorporated into economic models for climate change policy analysis. This paper demonstrates a multistage stochastic programming framework for catastrophe modeling with endogenous uncertainty, applied to a benchmark integrated assessment model. This study moves beyond recent catastrophe or tipping point studies with arbitrary risk, instead investigating the specific threat of the uncertain collapse of the West Antarctic Ice Sheet (WAIS), characterized in accordance with recent expert elicitations, empirical results, and physical relationships. The stochastic DICE-WAIS model introduced here informs risk management strategies that balance uncertain future climate change impacts with the costs of mitigation investments today. This work finds that accounting for the consequences of the possible WAIS collapse in a stochastic setting with endogenous uncertainty leads to more stringent climate policy recommendations (increasing the CO2 control rate by an additional 4% of global emissions and raising the social cost of carbon by $10), reflecting the need to hedge against uncertainties with downside risk as well as pursue precautionary mitigation

Integrated assessment of climate catastrophes with endogenous uncertainty: Does the risk of ice sheet collapse justify precautionary mitigation?

Greenhouse gas policies confront the trade-off between the costs of reducing emissions and the benefits of avoided climate change. The risk of uncertain and potentially irreversible catastrophes is an important issue related to the latter, and one that has not yet been well incorporated into economic models for climate change policy analysis. This paper demonstrates a multistage stochastic programming framework for catastrophe modeling with endogenous uncertainty, applied to a benchmark integrated assessment model. This study moves beyond recent catastrophe or tipping point studies with arbitrary risk, instead investigating the specific threat of the uncertain collapse of the West Antarctic Ice Sheet (WAIS), characterized in accordance with recent expert elicitations, empirical results, and physical relationships. The stochastic DICE-WAIS model introduced here informs risk management strategies that balance uncertain future climate change impacts with the costs of mitigation investments today. This work finds that accounting for the consequences of the possible WAIS collapse in a stochastic setting with endogenous uncertainty leads to more stringent climate policy recommendations (increasing the CO2 control rate by an additional 4% of global emissions and raising the social cost of carbon by $10), reflecting the need to hedge against uncertainties with downside risk as well as pursue precautionary mitigation

The Role of Natural Gas in the EU Decarbonisation Path

Over the last decade decarbonisation has become a key priority for the EU. However, on the contrary of renewable energy or energy efficiency, the role of gas in this process has never been clearly defined. This uncertainty opens a wide debate on the future role of gas in the EU energy system, particularly vis-à-vis the progressively stronger role of renewables in the EU energy mix. This paper tackles this issue with the aim to explore what role gas might play in making the EU decarbonisation path more balanced and secure up to 2030 and beyond

Assessing SDGs: A New Methodology to Measure Sustainability

The FEEM project APPS – Assessment, Projections and Policy of Sustainable Development Goals – focuses on the quantitative assessment of the seventeen Sustainable Development Goals (SDGs), adopted by the United Nations at the end of September 2015. The project consists of two phases. The first, retrospective, computes indicators for all SDGs in 139 countries and then derives a composite multi-dimensional index and a worldwide ranking of current sustainability. This allows informing on strengths and weaknesses of today socio-economic development, as well as environmental criticalities, all around the world. The second phase, prospective, aims at evaluating the future trends of sustainability in the world by 2030. The assessment of the SDGs is carried out by means of an extended version of the recursive-dynamic computable general equilibrium ICES macro-economic model that includes social and environmental indicators. The final goal is to highlight future challenges left unsolved in next 15 years of socio-economic development and analyze costs and benefits of specific policies to support the achievement of proposed targets. This paper presents the methodology and the results of the retrospective assessment. Five main steps are described: i) screening of indicators eligible to address the UN SDGs; ii) data collection from relevant sources; iii) organization in the three pillars of sustainability (economy, society, environment); iv) normalization to a common metrics; v) aggregation of the 25 indicators in composite indices by pillars as well as in the multi-dimensional index. The final ranking summarizes countries’ sustainability performance. As expected, Middle-North European countries are at top of the ranking (Sweden, Norway and Switzerland the first three), with the most industrialized European countries such as Germany and UK, however, penalized by insufficient environmental performance. Other highly developed countries are between 24th (Canada) and 52nd place (United States). The emerging nations are scattered in our sustainability ranking. Brazil (43rd) and Russia (45th) precede China (80th) and India (102nd), the latter two especially penalized because of their social complexity. The worst performances, in terms of overall sustainability, are in Sub-Saharan Africa (Comoros, the Central African Republic and Chad occupy the last places in the ranking)

Policy Surveillance in the G-20 Fossil Fuel Subsidies Agreement: Lessons for Climate Policy

Inadequate policy surveillance has undermined the effectiveness of multilateral climate agreements. To illustrate an alternative approach to transparency, I evaluate policy surveillance under the 2009 G-20 fossil fuel subsidies agreement. The Leaders of the Group of 20 nations tasked their energy and finance ministers to identify and phase-out fossil fuel subsidies. The G-20 leaders agreed to submit their subsidy reform strategies to peer review and to independent expert review conducted by international organizations. This process of developed and developing countries pledging to pursue the same policy objective, designing and publicizing implementation plans, and subjecting plans and performance to review by international organizations differs considerably from the historic approach under the UN Framework Convention on Climate Change. This paper draws lessons from the fossil fuel subsidies agreement for climate policy surveillance

Estimating Global Damages from Sea Level Rise with the Coastal Impact and Adaptation Model (CIAM)

The costs of coastal sector impacts from sea level rise (SLR) are an important component of the total projected economic damages of climate change, a major input to decision-making and design of climate policy. Moreover, the ultimate costs to coastal resources will depend strongly on adaptation, society's response to cope with the impacts. This paper presents a new model to assess coastal impacts from SLR, combining global scope with high spatial resolution to fill a gap between very detailed local studies and aggregate global estimates. The Coastal Impact and Adaptation Model (CIAM) determines the optimal strategy for adaptation at the local level, evaluating over 12,000 coastal segments, as described in the DIVA database (Vafeidis et al, 2006), based on their socioeconomic characteristics and the potential impacts of relative sea level rise and uncertain storm surge. An application of CIAM is then presented to demonstrate the model's ability to assess local impacts and direct costs, choose the least-cost adaptation, and estimate global net damages for several probabilistic SLR scenarios (Kopp et al, 2014). CIAM finds that there is large potential for coastal adaptation to reduce the expected impacts of SLR compared to the alternative of no adaptation, lowering global net present costs by a factor of 10 to less than $1.5 trillion over the next two centuries, although this does not include initial transition costs to overcome an under-adapted current state. In addition to producing aggregate estimates, CIAM results can also be interpreted at the local level, where we find that retreat (e.g., relocate inland) is often a more cost-effective adaptation strategy than protect (e.g., construct physical defenses)