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The purpose of this paper is to analyse how fish farmers manage climate-related risks and explore possible ways to strengthen risk management under current and future climate.

In total, 662 fish farmers in sites across Northern Thailand were interviewed about risks to the profitability of their fish farms and ways such risks were managed. Nonlinear canonical correlation analysis was used to relate risk factors to management practices at farm and river levels. In total, 68 in-depth interviews with farmers and other stakeholders provided additional information on climate risk management practices.

Farmers use a combination of adjustments to rearing practices, cropping calendars and financial and social measures to manage those risks, which they perceive as being manageable. Many risks are season, river and place specific; implying that the risk profiles of individual farms can vary substantially. Individual risks are often addressed through multiple practices and strategies; conversely, a particular management practice can have a bearing on several different risks. Farmers recognize that risks must be managed at farm and higher spatial and administrative scales. Social relations and information play critical roles in managing these complex combinations of risks.

This is one of the first papers to report in detail on how inland fish farmers manage climate-related risks. It underlines the need to consider multiple spatial and temporal scales and that farmers do not manage individual climate-related risks in isolation from other risks.

Framed within global policy debates over the need for private financial flows to align with the capital requirements of the Paris Agreement, this paper examines UK asset managers in their approaches to disclosing and managing climate risk. This paper identifies and evaluates climate risk management practices among this under-researched investor group in their capacity to address fundamental behavioural obstacles to low-carbon investment.

This paper takes an inductive approach to document analysis, applying content and thematic analysis to the annual disclosures of the 28 largest UK asset managers (by assets under management), including the investment management arms of insurance and pension companies.

The main takeaway from this research is that today’s climate risk management strategies hold potential to effectively address traditionally climate risk-averse investor behaviour and investment processes in the UK asset management context. However, this research finds that the use of environmental, social and governance (ESG) investment strategies to mitigate climate risks is a “grey area” in which climate risk management practices are undefined within broad sustainability and responsible investment agendas. In doing so, this paper invites further research into the extent to which climate risks are considered in ESG investment.

This paper contributes to research in sustainable finance and behavioural finance, by identifying the latest climate risk management techniques used among UK-headquartered asset managers and uniquely evaluating these in their capacity to address barriers to low-carbon investment arising from organisational behaviours and processes.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

This paper analyses how disaster risk management paradigms have gradually developed since the 1960s, shaped by practical experience of-and the debate about-the rising number of disasters, growing urbanization, and changing climatic conditions. In this context, climate change is shown as driving an urban pro-poor adaptation agenda, which could allow current shortcomings in urban risk reduction to be overcome. However, as past lessons in disaster risk management are rarely considered, any potential for improvement remains untapped. Possible ways of rectifying this situation are discussed, and a comprehensive framework for the reduction of both disaster and climate risks is presented.

This study examines green investment reforms carried out in Bangladesh. The reform process curated significant changes by promoting green investment and fostering the adoption of risk management (RM) rationalities. This study’s focus is on revealing changes in behaviour and explaining how RM can act as an effective generator of climate change mitigation practices.

Building on Foucault's concept of governmentality, the authors apply a “green governmentality” interpretive lens to analyse interviews and documentary evidence, adopting a qualitative case study approach. The authors explore how green governmentality generates RM rationalities and techniques to induce policies and practices within banks and financial institutions (FIs) for climate change mitigation purposes.

The findings provide valuable insights into the reform process and influence of RM rationalities in the context of environmental concerns. The authors find that the reforms and creation of RM rationalities affect the management of climate mitigation practices within banks and FIs and identify the processes through which the RM techniques are transformed as climate concerns are emphasised. The authors illustrate green governmentality as persuasive strategies, which have generated specific ways of seeing climate change reality and new ways of inserting RM into organisational activities, through the green governmentality effects they created. These reforms made climate change actionable and governable through the production of RM rationalities, supported by accounting conceptualisations and processes.

The insights from this study can assist with how we act upon questions of climate change from an RM perspective. Governments, policymakers and regulators who develop climate change-related laws, regulations and policies can draw on these insights to help foster green governmentality for climate change mitigation actions informed by RM practices.

This study offers insights into how climate change is not simply a biophysical reality but a site of power-knowledge dynamics where RM rationalities are constructed, and accounting processes are transformed. The authors show the application of RM and accounting efforts to change investment practices and how changes were encouraged and promoted by using regulation as a persuasive force on knowledgeable subjects rather than a repressive or oppressive power. The analytic power of green governmentality can be applied to increase understanding of how RM rationality contribute to the creation of useful conceptualisations of climate change and provide insights into how organisations respond to green governmentality.

The impact of climate disasters (e.g., floods, storms, or landslides), which are generally of low intensity and high frequency, should not be overlooked in developing countries. Global experiences related to the damage due to these disasters indicate that such events can be devastating in communities that are vulnerable to hazardous impacts. Cumulative effects of climate disasters are a sign of a potential catastrophe. Moreover, the recent increase in these events poses additional issues that increase the cost of local public administration, including emergency operation and infrastructure recovery. This chapter explains key problems related to climate disasters that are increasing, particularly in the local area of developing countries, and clarifies the need to incorporate climate disaster risk reduction into public development planning and practice. The chapter also provides descriptions of the research location, approaches of the study, and the structure of this book.

South Asia, home to one-fifth of humanity, perennially has been a disaster-prone region. In 2007, for instance, the Centre for Research on the Epidemiology of Disasters (CRED) reported that out of the top five countries in the world hit hardest by natural disasters, the first two were Bangladesh and India, while Pakistan occupied the fourth position (CRED Crunch, 2008). This was not an exceptional year but generally has been the trend, which highlights the comparative vulnerability of the region to disasters. Two-thirds of the disasters the region experiences are climate related and there have been phenomenal increases in their frequency, severity, and unpredictability in recent times. The severest impacts have been in terms of sea-level rise leading to submergence of low-lying coastal areas and depletion of Himalayan glaciers, threatening the perennial rivers that sustain the food, water, energy, and environmental security of the region. Climate change is surely creating grounds for newer and more severe risks of disasters in the region in the coming years.

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains deficient. To address the gap, the review analysed literature on the management of climate risk in cultural heritage. The review examines the strengths and weaknesses of climate risk management (CRM) frameworks and attendant implications for the conservation of cultural heritage.

The study adopted a two-phased systematic review procedure. In the first phase, the authors reviewed related publications published between 2017 and 2021 in Scopus and Google Scholar. Key reports published by organisations such as the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and International Council on Monuments and Sites (ICOMOS) were identified and included in Phase Two to further understand approaches to CRM in cultural heritage.

Results established the changes in trend and interactions between factors influencing the adoption of CRM frameworks, including methods and tools for CRM. There is also increasing interest in adopting quantitative and qualitative methods using highly technical equipment and software to assess climate risks to cultural heritage assets. However, climate risk information is largely collected at the national and regional levels rather than at the cultural heritage asset.

The review establishes increasing implementation of CRM frameworks across national boundaries at place level using high-level technical skills and knowledge, which are rare amongst local organisations and professionals involved in cultural heritage management.

The review established the need for multi-sectoral, bottom-up and place-based approaches to improve the identification of climate risks and decision-making processes for climate change adaptation.

This study investigates the impact of the Paris Agreement (and other factors) on carbon information disclosures to the Carbon Disclosure Project (CDP).

A sample of South African listed companies was selected and data analysed from 2013 to 2017. A random effect panel data model using SPSS was used to determine whether the Paris Agreement had an effect on carbon information disclosure.

The results indicate that (1) the Paris Agreement, as an example of an intergovernmental coordination initiative, is significant in creating awareness and increasing the carbon disclosures to the CDP. Furthermore, (2) in terms of the other factors examined, providing incentives for managing climate change and assessing climate risks further into the future improves disclosure quality, while no relationship was found between the CDP score and the approval by key management personnel.

This research examines CDP disclosures for an emerging market before and after the signing of the Paris Agreement.

This research shows the importance of supportive government policy. Furthermore, a commitment to climate change disclosure is manageable and achievable and needs to be implemented at the management level.

How water is managed is emerging as one of the core challenges of sustainable development and earth system governance (Pahl-Wostl, Gupta, & Petry, 2008a; Biermann et al., 2009). Floods and droughts already have a huge impact on human development and well-being. Adaptation to existing climate variability to reduce water insecurities is already a pressing need (Pielke, Prins, Rayner, & Sarewitz, 2007). Securing access to safe drinking water, allocating sufficient water to grow food, protecting life and property from floods, as well as maintaining river and floodplain ecosystems as countries develop economically, however, is a complex set of interlocking and dynamic challenges.