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Climate-related disasters are the most representative in terms of recurrence and impacts. To reduce them, risk transfer is a key strategy for climate risk management. However, this approach does not consider the socioeconomic vulnerability of each population group, limiting its effectiveness. The objective of this paper is to improve and increase the usefulness of risk transfer through the Differential Risk Transfer (DRT) approach.

A comprehensive and systematic review of the state of the art on Differential Approach (DA) is presented, and its connection with existing models of vulnerability to disasters is analysed. Through epistemic deliberations, an operational definition of Differential Risk Transfer (DRT), as well as its advantages are discussed. Finally, general guidelines are presented for the implementation of the DRT in a specific context.

The results confirm that DA presents a clear relation with the models for the study of disaster vulnerability. The small group discussions agree with the usefulness of DRT for improving climate-related risk management.

This paper argues for the inclusion of the DRT approach in the climate risk management strategies aiming to fill the disaggregated data gaps that limit the potentiality and accuracy of risk transfer schemes worldwide.

This innovative approach improves the accuracy of the risk transfer mechanisms through the recognition of the differences of ethnicity, gender and life cycle that increase socioeconomic vulnerability to climate-related disasters.

At the global level, disaster risk finance (DRF) is playing an increasingly prominent role in the international agendas for climate change adaptation. However, before implementing such agendas, it is essential to understand the needs and limitations of DRF in the subnational context where they need to impact. This research aims to gain insights into the perspectives of community and governmental actors in Colombia regarding DRF. Its goal is to promote the specific design of collaborative educational and technical assistance processes that consider their interests in the subject and the cultural diversity of the territories.

To achieve this, semi-structured interviews were conducted, and the findings were organized to highlight key aspects that help to understand DRF perspectives in the Colombian context.

It was found that the most significant limitations of implementing DRF include a lack of knowledge on the topic, corruption that encourages a reactive approach and the absence of economic resources. Concerns have emerged regarding the possibility of climate risk insurance becoming a profit-driven enterprise and the potential development of dependency behaviors within community groups, leading to maladaptation and moral hazard. Similarly, the implementation of DRF through foreign funds has raised concerns about the loss of territorial sovereignty and autonomy.

This is one of the first studies that carry out this kind of research and contributes to the formulation of inclusive public policies for DRF in different contexts worldwide.

Disaster risk reduction is prominent in the international policy agenda, and the year 2015 brought together three international policy frameworks that contribute to disaster risk reduction (i.e. the Sendai framework for disaster risk reduction, the Sustainable Development Goals and Paris Climate Change Agreement – COP21). However, there is a dearth of effort at identifying and aligning the specific educational needs of built environment professionals with the three policy frameworks. This is needed to facilitate the incorporation of the contents of the policy frameworks into built environment professionals’ training. Therefore, this study aims to map the educational needs of built environment professionals with the core areas of the three international policy frameworks.

This study utilized CADRE (Collaborative Action towards Disaster Resilience Education) research project outcomes alongside the earlier mentioned three international policy frameworks. A comprehensive desk review was done to map the educational needs identified in the CADRE project with the core priority areas of the three policy frameworks.

The study revealed the educational needs that are significant towards an effective implementation of the core priority areas of the three international policy frameworks.

This study would be beneficial to the built environment professionals involved in disaster risk reduction. They will be aware of the specific knowledge areas that would aid the successful implementation of the aforementioned three international policy frameworks.

The outcomes of the study would be beneficial to higher education providers in disaster risk reduction and sustainable development. It has identified the knowledge and competency gaps needed to be bridged in the curricula to meet the demands created by the international policy frameworks.

Degradable mulch film (DMF) is a potential alternate to polyethylene (PE) mulching. In this regard, the purpose of this paper is to explore the effects and paths of natural disaster shock and risk aversion influencing farmers’ DMF adoption.

This research is conducted by collecting cross-sectional data of corn farmers in Zhangye, China. First, by using the Tobit model, the paper attempts to explore the effects of natural disaster shock and risk aversion influencing farmers’ DMF adoption. Second, IV-Tobit model is applied to deal with endogenous problems between risk aversion and DMF adoption. Additionally, the researchers used a moderating model to analyze feasible paths of natural disaster shock and risk aversion impacting farmers’ DMF adoption.

The outcomes show that natural disaster shock and risk aversion significantly and positively affect farmers’ DMF adoption. Though risk aversion plays a significant moderating effect in influencing farmers’ DMF adoption by natural disaster shock, the moderating effect has a serious disguising effect. By considering the heterogeneity of risk aversion, the paper further confirms that if the intensity of natural disaster shock is increased by one unit, the intensity of MDF adoption by farmers with high-risk aversion also tends to increase by 15.85%.

This study is the pioneer one, which is evaluating the intensity of farmers’ DMF adoption from adoption ratio, investment amount, labor input and adoption time. Additionally, the research provides important guidelines for policymakers to motivate medium and low-risk aversion farmers to adopt DMF.

This study analyzes the role of cooperative behavior in facing the risk of encouraging innovative agricultural production projects by small-scale farmers in the context of farmers in developing countries.

A within-subjects field experiment was conducted with small-scale Colombian panela cane farmers. The authors used the collected data to run the regression analyses.

The results suggest that when small farmers can follow cooperative behavior by joining a group and pooling resources to face risk, they are more willing to invest in a novel and profitable alternative, albeit riskier. However, the possibility of cooperating with a group to invest in a novel production project depends on its expected risk level.

These results will help develop agricultural policies for sustainable development. Establishing informal networks for small-scale farmers to deal with unpredictable risks may aid in developing innovative systems.

Agriculture is highly vulnerable to climatic impacts, which, combined with the inherent risk of innovation, may reduce small farmers' willingness to adopt innovation. Cooperation appears to be a mechanism for pooling resources and facing risk.

Research has focused on experimentally testing the effect of cooperative behavior when facing risk. The authors contribute to the literature by demonstrating the impact of the ability of small-scale farmers in rural areas to collectively manage risk on investment in innovative projects.

The consequences of extreme climatic events that threaten food security have created the urgent need to properly adopt climate-smart adaptation techniques to improve productivity. The study examined the sustainability responses to climate-smart adaptation and the implication it has for explaining the food security situations among farm households in the Central Region of Ghana.

We estimated Heckit treatment effect model to analyse cross-sectional data collected from randomly selected farmers in the Central Region.

Analysis of farm sustainability index suggests that farmers' agricultural practices in response to climate change are lowly or moderately sustainable. We further found that while majority of the farm households are severely food insecure or food insecure with hunger, only about one-third are food insecure without hunger and the remaining few being food secure. The sustainability of farm practices is being impacted by the farmers’ choice of climate smart adaptation measures at the farm level. Consequently, the farm households' food security situation is found to be improved when sustainable farming practices are employed in the face of managing climate change effects.

Conclusions drawn from the study findings give rooms for policy implications that suggest responsibilities for policymakers, farmers and other stakeholders to promote CSA practices in food crop production in Ghana. These policy implications will contribute to improve crop productivity, increase incomes and thus enhance food security among farm families. Awareness campaign about benefits of CSA practices and technologies need to be strengthened among farmers in Ghana by government and NGOs that matter in promoting farm resilience to climate change. Given the important impacts of sustainable farm practices on household food security situation, policies that seek to build the adaptive capacity of farmers to climate vulnerability impacts should take into consideration the sustainability dimensions of the adaptation and mitigation measures to be advocated for use at farm levels.

Our paper contributes to literature knowledge on climate-smart adaptation practices effect on food security as evidenced in some recent literature. The paper makes a unique contribution by highlighting the food security implication of the sustainability impact of CSA practices, thereby exploring sustainability as an impact pathway between climate smart adaptations practices and food security in a developing country like Ghana. We approached our study aiming at making new contribution by introducing in the study implementation a quasi-experimental research design which future studies on impacts of climate smart adaptation practices can replicate.

The purpose of this paper is to assess farmers’ willingness to participate and pay for weather-based index insurance in the Upper East Region of Ghana, and what factors influence the participation and purchase of crop insurance schemes.

A survey of 200 farmers in the region was carried out in 2018 to measure demographic information, farm characteristics, risks and risk-management practices and attitudes to crop insurance programs. The survey also captured maximum willingness to pay (WTP) for crop insurance. The double-bounded contingent valuation technique was used to estimate the WTP for crop insurance and the variables that affected WTP.

Farmers, in general, had an indifferent attitude to crop insurance in the region, but were willing to participate in the crop insurance programme, and were willing to pay between 7.5 and 12.5 per cent of the cost of growing maize as a premium for crop insurance. Demographic and economic variables did not impact WTP, but attitude towards crop insurance, farm diversification and frequency of drought negatively impacted on the WTP for crop insurance.

Education programs could be undertaken to improve the attitude and understanding towards crop insurance, as some farmers perceived the programme as not trustworthy, and others did not truly understand the operation of the programme.

Drought can have a significant impact on household welfare, particularly in food insecure countries or regions. Crop insurance can provide a method of securing income for farmers allowing them to purchase food rather than other choices, such as removing children from education to reduce household expenses, improving the long-term welfare of the farm household.

This paper considers willingness to participate and WTP for a crop insurance programme in Ghana, it is one of a small number of papers that consider attitude to, and willingness to participate and WTP for crop insurance in developing countries. The value of the research is the expanded understanding of farmer attitude to crop insurance and their lack of knowledge of crop insurance operations.

Examine the usability of rainfall and temperature outputs of a regional climate model (RCM) and meteorological drought indices to develop a macro-level risk transfer product to compensate the government of Central Java, Indonesia, for drought-related disaster payments to rice farmers.

Based on 0.5° gridded rainfall and temperature data (1960–2015) and projections of the WRF-RCM (2016–2040), the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) are calculated for Central Java over different time spans. The drought indices are correlated to annual and seasonal rice production, based on which a weather index insurance structure is developed.

The six-month SPI correlates best with the wet season rice production, which generates most output in Central Java. The SPI time series reveals that drought severity increases in future years (2016–2040) and leads to higher payouts from the weather index structure compared to the historical period (1960–2015).

The developed methodology in using SPI for historical and projected periods allows the development of weather index insurance in other regions which have a clear link between rainfall deficit and agricultural production volatility.

Meteorological drought indices are a viable alternative for weather index insurance, which is usually based on rainfall amounts. RCM outputs provide valuable insights into future climate variability and drought risk and prolong the time series, which should result in more robust weather index insurance products.