Yes / This study reexamines the need for Chinese enterprises to disclose climate risk information in the context of their significant contribution to climate change. The paper proposes climate risk disclosure indicators based on a sample of Chinese A-share listed companies from 2010 to 2020 and their annual reports. It explores the relationship and influencing mechanism between corporate climate risk disclosure and carbon emissions levels. The results of empirical research show that disclosing climate risk information reduces carbon emissions levels, and this mitigating effect is significantly enhanced by the moderating effects of executive environmental experience, investor attention, and government environmental supervision. Heterogeneity analysis further indicates that state-owned enterprises, those with a solid corporate green culture, or industries with high pollution emissions can better exert the carbon emission reduction effect of climate risk disclosure. In addition, physical climate risk disclosure is preferred in terms of short-term carbon emissions. In contrast, transformational climate risk disclosure is selected for long-term carbon reduction goals. Finally, empirical economic analysis indicates that high-quality climate risk disclosure can appropriately mitigate the negative impact of corporate carbon emissions on solvency and profitability compared to firms with lower disclosure levels, highlighting the importance of climate risk disclosure quality. / This work was supported by National Natural Science Foundation of China [No. 72091515], the Natural Science Foundation of Hunan Province (2022JJ40647), and Excellent Young Scholar Project of the Hunan Provincial Department of Education (23B0004). / The full-text of this article will be released for public view at the end of the publisher embargo on 12 July 2025.

A garantia da segurança alimentar global é um dos grandes desafios da humanidade para as próximas décadas. O aumento populacional do planeta, até 2050, em cerca de 2 bilhões de pessoas em 2050, a tendência de ascensão da classe média e as projeções de mudanças climáticas têm sido consideradas como um dos grandes desafios futuros para as políticas internacionais de seguridade alimentar. As projeções de alteração climática levam em consideração o aumento da concentração de gases de efeito estufa, sendo o CO2 o principal deles. O setor agrícola pode ser o mais afetado pelas mudanças no clima. O Brasil é o maior exportador e o segundo maior produtor de soja (Glycine max L.) do mundo. Essa cultura representa mais de 60% de toda a proteína alimentar de origem vegetal produzida no mundo. Considerando essa problemática, o presente estudo teve como objetivo geral simular o crescimento da cultura da soja em pontos estrategicamente selecionados no Brasil, com base em séries históricas observadas e em cenários climáticos futuros. Para isso, o modelo DSSAT/CROPGRO-SOYBEAN foi calibrado para diferentes grupos de maturação relativa (6.0, 7.0, 8.0 e 9.0), de modo a abranger pelo menos 80% de toda a produção nacional. Especificamente para o grupo 6.0, foi necessário a instalação de um experimento de campo, em Piracicaba-SP nas safras 2015/16 e 2016/17. Para a projeção dos cenários climáticos futuros adotou-se a metodologia do projeto internacional Agricultural Model Intercomparison and Improvement Project (AgMIP). Esses cenários foram baseados nas projeções de concentrações futuras de CO2 atmosférico (RCP 4.5 e RCP 8.5). Considerando as duas possibilidades de concentração futura de CO2, selecionou-se três modelos climáticos globais (GCM) para cada zona homogênea. As zonas homogêneas foram agrupadas considerando a soma térmica, aridez e sazonalidade de temperatura. As produtividades futuras de soja foram simuladas para o período 2040-2069 (representando 2050). Notou-se que as mudanças climáticas podem contribuir para o aumento da produtividade de soja no Brasil para a maioria das zonas homogêneas nos cenários simulados, mas com aumento do risco climático da cultura em algumas regiões. As simulações e zonas homogêneas que apresentaram perdas de produtividade estavam estritamente relacionadas com o défict hídrico. / Ensuring global food security is one of humanity\'s greatest challenges for the coming decades. The rising population of the planet by about 2 billion people, the rising trend of the middle class and the projections of climate change have been considered as one of the great future challenges for international food security policies. The projections of climate change take into account the increase in the concentration of greenhouse gases, with CO2 being the main one. The agricultural sector may be most affected by changes in climate. Brazil is the largest exporter and the second largest producer of soybeans (Glycine max) in the world. This crop represents more than 60% of all plant protein produced in the world. Considering this problem, the present study had as general objective to simulate soybean crop growth in strategically selected points in Brazil, based on observed historical series and future climatic scenarios. For this, the DSSAT / CROPGRO-SOYBEAN model was calibrated for different maturation groups (6.0, 7.0, 8.0 and 9.0), to cover at least 80% of all national production. Specifically for group 6.0, it was necessary to install a field experiment in Piracicaba-SP in the 2015/16 and 2016/17 seasons. For the projection of the future climate scenarios the methodology of the international Agricultural Model Intercomparison and Improvement Project (AgMIP) was adopted. These scenarios were based on projections of future concentrations of atmospheric CO2 (RCP 4.5 and RCP 8.5). Considering the two possibilities of future CO2 concentration, three global climate models (GCM) were selected for each homogeneous zone. The homogeneous zones were grouped considering the thermal sum, aridity and seasonality of temperature. Future soybean yields were simulated for the period 2040-2069 (representing 2050). It was noted that climate change may contribute to increase soybean productivity in Brazil for most of the homogeneous zones in the simulated scenarios, but with increasing climatic risk of the crop in some regions. The simulations and homogeneous zones that presented productivity losses were strictly related to the water deficit.

A garantia da segurança alimentar global é um dos grandes desafios da humanidade para as próximas décadas. O aumento populacional do planeta, até 2050, em cerca de 2 bilhões de pessoas em 2050, a tendência de ascensão da classe média e as projeções de mudanças climáticas têm sido consideradas como um dos grandes desafios futuros para as políticas internacionais de seguridade alimentar. As projeções de alteração climática levam em consideração o aumento da concentração de gases de efeito estufa, sendo o CO2 o principal deles. O setor agrícola pode ser o mais afetado pelas mudanças no clima. O Brasil é o maior exportador e o segundo maior produtor de soja (Glycine max L.) do mundo. Essa cultura representa mais de 60% de toda a proteína alimentar de origem vegetal produzida no mundo. Considerando essa problemática, o presente estudo teve como objetivo geral simular o crescimento da cultura da soja em pontos estrategicamente selecionados no Brasil, com base em séries históricas observadas e em cenários climáticos futuros. Para isso, o modelo DSSAT/CROPGRO-SOYBEAN foi calibrado para diferentes grupos de maturação relativa (6.0, 7.0, 8.0 e 9.0), de modo a abranger pelo menos 80% de toda a produção nacional. Especificamente para o grupo 6.0, foi necessário a instalação de um experimento de campo, em Piracicaba-SP nas safras 2015/16 e 2016/17. Para a projeção dos cenários climáticos futuros adotou-se a metodologia do projeto internacional Agricultural Model Intercomparison and Improvement Project (AgMIP). Esses cenários foram baseados nas projeções de concentrações futuras de CO2 atmosférico (RCP 4.5 e RCP 8.5). Considerando as duas possibilidades de concentração futura de CO2, selecionou-se três modelos climáticos globais (GCM) para cada zona homogênea. As zonas homogêneas foram agrupadas considerando a soma térmica, aridez e sazonalidade de temperatura. As produtividades futuras de soja foram simuladas para o período 2040-2069 (representando 2050). Notou-se que as mudanças climáticas podem contribuir para o aumento da produtividade de soja no Brasil para a maioria das zonas homogêneas nos cenários simulados, mas com aumento do risco climático da cultura em algumas regiões. As simulações e zonas homogêneas que apresentaram perdas de produtividade estavam estritamente relacionadas com o défict hídrico. / Ensuring global food security is one of humanity\'s greatest challenges for the coming decades. The rising population of the planet by about 2 billion people, the rising trend of the middle class and the projections of climate change have been considered as one of the great future challenges for international food security policies. The projections of climate change take into account the increase in the concentration of greenhouse gases, with CO2 being the main one. The agricultural sector may be most affected by changes in climate. Brazil is the largest exporter and the second largest producer of soybeans (Glycine max) in the world. This crop represents more than 60% of all plant protein produced in the world. Considering this problem, the present study had as general objective to simulate soybean crop growth in strategically selected points in Brazil, based on observed historical series and future climatic scenarios. For this, the DSSAT / CROPGRO-SOYBEAN model was calibrated for different maturation groups (6.0, 7.0, 8.0 and 9.0), to cover at least 80% of all national production. Specifically for group 6.0, it was necessary to install a field experiment in Piracicaba-SP in the 2015/16 and 2016/17 seasons. For the projection of the future climate scenarios the methodology of the international Agricultural Model Intercomparison and Improvement Project (AgMIP) was adopted. These scenarios were based on projections of future concentrations of atmospheric CO2 (RCP 4.5 and RCP 8.5). Considering the two possibilities of future CO2 concentration, three global climate models (GCM) were selected for each homogeneous zone. The homogeneous zones were grouped considering the thermal sum, aridity and seasonality of temperature. Future soybean yields were simulated for the period 2040-2069 (representing 2050). It was noted that climate change may contribute to increase soybean productivity in Brazil for most of the homogeneous zones in the simulated scenarios, but with increasing climatic risk of the crop in some regions. The simulations and homogeneous zones that presented productivity losses were strictly related to the water deficit.

No description available.

To mitigate climate change, the transition to a low-carbon economy is imperative. Even though this transition poses unprecedented economic and social risks, academic research regarding the impacts of such risks on the financial sector is limited. This thesis develops an integrated analytical framework to quantify the transition risks of equity portfolios. The aim is to improve the scientific understanding of transition risk modelling and to enable a forward-looking risk analysis in investment management. Transition risks are analyzed with a scenario-based approach. Three transition scenarios that stretch until 2025 and 2030 are constructed. For each scenario, three risk variables are designed: a global carbon tax, a change in the share of renewables in electricity generation, and a change in fossil fuel production. A transition-adjusted dis-counted cash flow (TA-DCF) model is developed to estimate the financial impacts of those risks. Furthermore, a method to model company-specific transition capacity is applied. The findings of the study suggest limited total transition impacts on the portfolio level until 2030. The analysis of a diversified global equity index discovers losses of -2.95% of the total market value in the most ambitious transi-tion scenario. Transition risks become more apparent on the sector and individual company level. The thesis finds that three sectors, Energy, Utilities and Materials, are highly exposed to transition risks. In addition, the TA-DCF model enables the identification of companies that are expected to lose of most of their value due to transition risks as well as companies that leverage the emerging opportunities. The developed framework can be applied in portfolio management and portfolio construction to incorporate tran-sition risks into decision-making processes in financial risk management. Several use cases, i.e. the development of a low transition risk benchmark, are discussed.

The study focused on the risks and effects climate change posed in Karamoja Sub region in North Eastern Uganda with attention on adaptation and mitigation strategies used in combating the effects and risks of climate change. Climate change policies, innovations aimed at decreasing the consequences and risks of climate change, climate risk assessment, and the effects of Uganda's climate change responses were all presented as study questions. A qualitative research design was used in the study, which included assessment of documentary sources as well as interviews. It was revealed that Uganda has implemented many policies related to climate change, according to a thorough analysis and presentation; however, a closer examination pointed that a number of policies were ineffective and did not directly address the issues of climate change. Several innovations for mitigating the consequences and hazards of climate change were also used though were insufficient. The report acknowledged that climate risk assessments were being conducted with little success and the responses had achieved some level of success in mitigating climate change's effects. Uganda government, as well as other non-governmental working groups on climate change, should step up the efforts in terms of tangible responses in the fight against global warming if the struggle against climate change is to be won.

We investigate various methods for generating a market-based proxy for climate related transition risk in financial markets, and use these to determine the sensitivities of various investments towards climate change policies. We find that assets tied to the energy and materials sector have consistently high sensitivity towards market factors which are likely to decline in response to climate regulations, and as such consequently face mark-to-market losses conditional on systemic climate events. For beta estimation we use both traditional linear regression and the dynamic conditional beta model developed by Engle, based on multivariate GARCH volatility models. We find suggestive evidence that our stylised climate factors, based on stranded assets, responds negatively to news of policies related to a move towards renewable energies. / Vi undersöker olika metoder för att skapa en marknadsbaserad proxy för klimatrisk inom finansmarknaden, och använder dessa för att bestämma känsligheter för olika investeringar mot klimatrelaterade händelser. Vi finner att tillgångar med koppling mot sektorer såsom energi eller material har konsekvent hög känslighet mot marknadsfaktorer som sannolikt kommer minska som svar till klimatbestämmelser, och således också tappa marknadsvärde vid en systemisk klimathändelse. Vi uppskattar ett klimatbeta genom både linjär regression, och Engles dynamic conditional beta modell baserad på en GARCH process i flera variabler. Vi finner suggestiva bevis för att våra klimatfaktorer, baserade på strandade tillgångar, svarar negativt till nyheter som hanterar omställningen till förnybar energi.

No description available.

由聯合國環境署和世界氣象組織在1988年成立之「跨政府氣候變遷小組」（Intergovernmental Panel on Climate Change，IPCC）公佈之「2007氣候變遷報告」中指出，近五十年來觀察到之暖化現象極可能係由人類活動所導致。報告中引用最新科學研究資料指出，氣候變暖之趨勢正在加快，明顯可觀察到之現象包括：極端氣溫天氣之增多、全球海平面上升、一些地區乾旱加重、冰川融化、冰蓋萎縮等等。這種快速氣候變遷所帶來的衝擊，對於地球生態而言，是一種嚴峻的考驗。 台灣地處亞熱帶，且因所在地理位置，深受海洋與大氣交互作用之影響，再加上地形狹窄、河道短促等自然環境因素影響，使台灣成為颱風頻繁的地方；除了颱風本身外，颱風之累積雨量與單位時間內之降雨量又屢創新高，甚至出現了罕見之冬颱；其所附帶的豪雨，造成重大損失。 我國文獻對於颱風洪水險是否作為政策性保險之討論較少，故本論文希望能就颱風洪水險是否適合做為政策性保險加以探討。首先，從氣候風險管理之角度著手，收集現行國內外氣候變遷現況之資料，提出氣候巨災風險管理之方法。再介紹外國與我國現行之颱風洪水保險制度，並論述颱風洪水保險制度之設計原則與方式。接下來，介紹政策性保險，並針對颱風洪水保險可否為政策性保險為違憲審查。最後，針對颱風洪水險作為政策性保險之可行性進行研討，提出可行之方案，並與我國現行已存在之政策性保險相比較，討論我國現行颱風洪水保險之優缺點，再為制度之抉擇。之後，再討論相關問題，以作為我國以後是否發展強制或半強制颱風洪水險之參考。

Climate resilience is increasingly an attribute of competitive global cities. Cities that are most responsive to change will continue to prosper. To achieve this, governance structures and decision-making approaches that promote flexible and/or robust adaptation action are required. This thesis introduces a framework for urban adaptation planning that links medium-term risk management with the development and appraisal of long-term adaptation pathways. A long-term plan informed by the appraisal of a range of plausible pathways provides the opportunity to retain the flexibility to respond to future uncertainties, whilst also demonstrating how a city could manage future climate risk. This provides stakeholders with confidence that long-term risk is adequately considered, even if there is not a need to act immediately. To demonstrate how adaptation pathways can support adaptation decision-making in an urban system, the approach and methods developed as part of this thesis are applied in London. Adaptation pathways in response to water scarcity, surface water flood and heat risk were developed, and their appraisal presented as pathways diagrams. These diagrams provide a visual representation of the sequencing of decision points and plausible adaptation actions that may be implemented in the future. Pathways diagrams present climate risk and adaptation information for decision-makers in a salient and actionable manner. The pathways responding to individual risks in London are then brought together to demonstrate how an integrated assessment framework may be used to appraise city-scale adaptation pathways that respond to multiple climate risks. The growing emphasis within adaptation planning on approaches that can react flexibly to change increases the need to better understand the dynamics of climate risk and embed learning about the effectiveness of adaptation actions. To complement the pathways and adaptation decision-making research presented in this thesis, a framework that links adaptation monitoring and evaluation (M&E), risk assessment and decision-making is presented and explored to highlight the potential benefits of, and mechanisms for, adaptation M&E to inform and strengthen iterative risk-based adaptation planning. Demonstrated for the Thames Estuary, where concepts of adaptation planning have been pioneered but the opportunities of linking to monitoring and evaluation have not been extensively explored, we show how the framework can highlight actions and factors that are contributing to improving adaptation outcomes and those that require strengthening. This thesis contributes to the literature on urban climate change adaptation planning under conditions of uncertainty. This thesis also contributes to the evidence base needed to justify long-term planning and realise the benefits of climate risk reduction through the implementation of flexible, long-term integrated urban adaptation plans.