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This study aims to identify the current state of the art and the gaps in the application of computable general equilibrium (CGE) models on studying climate change adaptation.

A systematic review is conducted to select, classify and analyze relevant studies from two databases of Web of Science and Scopus.

Totally, 170 articles based on selected keywords were found from both databases, where 56 articles were duplicates. The authors further excluded 17 articles owing to preliminary exclusion criteria. Hence, 97 papers were selected for full-text review and more detailed assessment. Only a few of the studies explicitly have addressed the role of autonomous adaptation embodied in the CGE models. Over one-third of the studies have focused on planned adaptation without explicitly mentioning autonomous adaptation. Agriculture was the most addressed sector, and country-level models are the most adopted. Only one article has focused on South America.

The review suggests that autonomous adaptation embodied in CGE models was not well addressed in the literature. As the limited studies have shown that autonomous adaptation can dramatically mitigate direct climate change impacts, further studies are needed to examine the importance of the autonomous adaptation for better understanding of climate change impacts. Furthermore, CGE models can provide a joint assessment considering both mitigation and adaptation strategies and management measures as such models have also been widely used to address effects of mitigation measures in the literature.

The studies on climate change adaptation based on CGE models have been systematically reviewed, and state-of-the-art knowledge and research gaps have been identified.

Rising greenhouse gases have contributed to global warming above the pre-industrial levels with detrimental effects on world climatic patterns. Extreme weather has inflicted drastic impacts, including loss of lives and livelihoods and economic disruption. However, collective international cooperation in adopting greenhouse gas emission mitigating measures can translate into long-run beneficial effects of improving environmental quality. This study examines if international environmental cooperation among the world's top ten polluters can reduce production side emissions.

The panel estimation procedure was applied to data from ten top polluting countries from 2000 to 2019.

The results revealed a statistically significant inverse association between a nation's commitments to international environmental treaties and carbon dioxide emissions. Other than confirming the environmental Kuznets curve effect, industrial intensification, international trade and law rule are other strong correlations of carbon dioxide emissions.

The main policy implication is the urgency for the leaders of the world's top ten polluters to actively cooperate in developing and implementing new production-side carbon emission measures as well as the implementation and enforcement of existing international treaties to minimize further environmental damage and let the countries in the lower ranks of carbon emissions to enjoy the long-run benefits of the decarbonized world.

This study makes a new contribution to the environmental research literature by unfolding how collective global cooperation on environmental challenges can help reduce environmental damage in a coherent analytical framework.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0598

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

Community-based disaster management and access to social resilience during disasters are fundamentally based on the concept of participation of all social groups. Up to now, no comprehensive study has been done regarding adolescents’ roles and experiences in all stages of disaster management, and discussions existing in the domain of adolescents’ engagement in disaster risk management are usually restricted to children’s participation. Thus, this study aims to extract the effective components and factors in disaster education to improve adolescents’ resilience to disasters.

This systematic review was done through English databases and three Persian databases between August 18, 2001, and August 31, 2021. The articles were searched based on the PRISMA checklist using four key dimensions of “resilience,” “disasters,” “adolescents” and “education.” Finally, the effective components and factors in disaster education for improving adolescents’ resilience during disasters were extracted.

Totally, 29,856 articles were extracted through the systematic review. After studying the titles, abstracts and contents of the extracted articles, 17 were selected for the final analysis. Among these articles, 3, 12 and 2 had qualitative, quantitative and mixed research designs, respectively. The extracted components were categorized into five major categories including education, community, adolescents, resilience and governing policies and approaches.

Unfortunately, due to sanctions, Shiraz University of Medical Sciences did not have access to the Embase database, and consequently, this database could not be used.

The results of this systematic review presented an overall view of the effective components of adolescents’ disaster resilience education. The formation of thoughts developed feelings, and social knowledge in this age group provides a wide range of opportunities for social empowerment and intergenerational knowledge transfer.

Tourism is a rapidly growing economic sector that contributes significantly to national and local economies globally. Tourism growth in any destination largely depends on the weather and climate, considered prime factors affecting global tourist flows. Global South countries are said to be particularly vulnerable to climate change, owing to their limited adaptation capacity, placing them at greater risk of the impacts of climate change. This adaptive capacity is mainly attributed to a lack of capital intensity and technological flexibility, which is less effective than in developed countries. In addition to a lack of capacity to adjust to the direct hazards of climate change, developing countries are at additional risk due to their heavy reliance on economic sectors and resources sensitive to climate change, such as tourism. An enhanced understanding of climate change's impacts and adaptations to climate change is critical for determining strategic actions for tourism planning and development. This chapter provides a theoretical review of tourism and adaptation strategies, challenges and the dimensions of vulnerability in a tourism context, as well as the implications of climate change on tourism planning in the future. This chapter discusses the impact of climate change on tourism in the Global South, examining case studies and policy frameworks for adaptation and mitigation. It further explores opportunities for sustainable tourism development and partnerships for climate-resilient tourism. Overall, the chapter focuses on the challenges and opportunities for sustainable tourism in the Global South in the face of climate change.

This study aims to analyze the perceptions of smallholder farmers on climate change and events and further explores climate change adaptation strategies and associated challenges. The findings provide useful information for enhancing the adaptive capacity of smallholder farmers to adjust to climate-related hazards and improve their resilience and disaster preparedness in northern Ghana.

This study uses a multistage sampling procedure and sample size of 150 farmers, the Binary Probit Model (BPM), to identify and examine the determinants of climate change adaptation strategies adopted by smallholder farmers. Also, the constraints of adaptation were analyzed using Kendall’s coefficient of concordance.

The results from the BPM and statistics of Kendall’s coefficient revealed that the farm risk level, ability to adapt, farmer’s income, age, farming experience, climate change awareness and extension visits were factors that significantly influenced the adaptation strategies of smallholder farmers (in order of importance). The majority (60%) of the farmers ranked farm risk level as the major constraint to adopting climate change strategies.

The findings of this study enhance understanding on access to relevant and timely climate change adaptation information such as an early warning to farmers during the start of the farming/rainy season to support their adaptive responses to climate change.

This study aims to explore the smallholder farmers’ perceptions of climate change and its adaptation options (changing crop variety; improved crop and livestock; soil and water conservation [SWC]; and irrigation practices) and drought indices in the Dire Dawa Administration Zone, Eastern Ethiopia.

A cross-sectional household survey was used. A structured interview schedule for respondent households for key informants and focus group discussions were used. This study used both descriptive statistics and an econometric model. The model was used to compute the determinants of climate adaptation options in the study area. Drought characterization was carried out by DrinC software.

The results revealed households adapted to selected adaptation options. The model results confirmed that education level, farm size, tropical livestock units (TLUs) and access to agricultural extension services have positive and significant impacts on changing crop variety by 0.0014%, 0.045%, 0.032% and 0.035%, respectively. The likelihood of farmers’ decisions to use adaptation strategies (family size, TLU, agricultural extension service and distance from the market) has positive and significant impacts on SWC. The reconnaissance drought index (RDI6) of ONDJFM and AMJJAS showed extreme and severe drought index values of −2.88 and −1.96, respectively.

This study used a locally adopted climate change adaptation intervention for smallholder farmers, revealing the importance of drought characterization indices both seasonally and annually.

There is an increasing need for greater awareness and understanding of the risks climate change poses to farming communities so as to inform appropriate adaptive responses. The purpose of this study is to investigate farmers’ climate change impacts, awareness, risk perception and current adaptation strategies adopted to deal with the impacts of climate change on their livelihood.

This research was undertaken with 67 farmers in Bayelsa State, Nigeria. This study used a combination of focus group discussion and quantitative survey to obtain data. Surveyed farmers were invited to an initial workshop and asked to take photos of climate change impacts on their land and the adaptation strategies being adopted. The photos were analysed and discussed with the farmers in a second workshop. Then, in a third workshop, farmers and other stakeholders came together to rank the most important consequences of climate change and shared knowledge on adaptation strategies. The survey and photovoice data were analysed using descriptive and inferential statistics.

The results of this study showed that a majority of the farmers were knowledgeable of climate change, mostly got climate information through media. Floods and high temperatures were perceived as the most occurring climate change-related disaster risks. Majority of the farmers perceived climate change as high risk and have taken up multiple adaptation strategies in response to it, including changing planting times, mulching their land and digging irrigation pits. Farmers’ responses indicated that they want to do more but are restricted by financial resources.

This study outcomes provide evidence for a need to consider stakeholders’ participation in planning climate change responses to effectively address the challenges posed by climate change, particularly in coastal agricultural communities. Government and relevant agencies as recommended need to support farmers to undertake needed adaptive strategies to adapt with future flooding, high temperature and drought, providing them with necessary facilities to enhance their adaptive capacities.

To the best of the authors’ knowledge, this was one of the first studies to use photovoice to investigate climate change awareness, impacts and adaptations strategies with majority female farmers in west Africa. This study highlights the importance of participatory approaches to capture grassroots climate adaptation approaches.

The purpose of this study results and recommendations will have a paramount significance for policymakers, policy advocates, development planners and practitioners who may be in need of such information for reconsideration, evaluation and inclusion into their respective development and humanitarian programming and operational strategies. Above all, the study result has further provided the local community with viable adaptation strategies to climate-induced changes in the study area.

This study was conducted to measure the livelihood vulnerability of Borana pastoralists to climate change and variability in southern Ethiopia. Pastoralists’ households were sampled using multistage sampling techniques. A total of 27 socio-economic and biophysical indicators were used to reflect vulnerability components: adaptive capacity, exposure and sensitivity. Principal component analysis was used to develop weights for indicators and to produce livelihood vulnerability index to classify households according to their level of vulnerability. Ordinal logistic regression was used to identify the determinants of vulnerability to climate-induced stresses.

The results showed that 24.4% of households were highly vulnerable, 60.3% were moderately vulnerable and 15.3% of households were less vulnerable to climate-induced stresses. Factor estimates of the logistic model further revealed that early warning information, bush encroachment, coping strategy, temperature, drought frequency, provision of humanitarian services and food shortage during the normal season of the year have a significant influence on vulnerability in the study area.

The study’s results and recommendations will be of great significance to policymakers, development planners, and practitioners who require such information for reconsideration, evaluation, and inclusion in their respective development and humanitarian program and operational strategies. Most importantly, the study’s findings have provided the local community with practical adaptation strategies to climate-induced changes in the study area.

The study explored pastoralist perception of climate change and variability and measured the livelihood vulnerability of pastoralists’ households to climate change and variability and finally investigated viable adaptation and coping strategies in the study area.

Climate change is expected to cause larger and more frequent precipitation events in key agricultural regions of the United States, damaging crops and soils. Subsurface tile drainage is an important technology for mitigating the risks of a wetter climate in crop production. In this study, the authors examine how quickly farmers adapt to increased precipitation by investing in drainage technology.

Using farm-level data from the 2018 Agricultural Resource Management Survey (ARMS) of soybean producers, the authors construct a drainage adoption timeline based on when the operator began farming their land and when tile drainage was installed, if at all. The authors examine both the initial investment decision and the speed with which drainage is installed by adopters. A Heckman-style Poisson regression is used to model the count nature of adoption speed (measured in years taken to install tile drainage) and to correct for potential sample-selection bias.

The authors find that local precipitation is not a significant determinant of the drainage investment decision but may be highly influential in the timing of adoption among drainage users. Farms exposed to crop-damaging levels of precipitation install tile drainage faster than those with low to moderate levels of rainfall. Estimates of farm adaptation speeds are heterogeneous across farm and operator characteristics, most notably land tenure status.

Understanding how US farmers adapt to extreme weather through technology adoption is key to predicting the long-term impacts of climate change on America's food system. This study extends the existing climate adaptation literature by focusing on the speed of adoption of an important and increasingly common climate-mitigating technology – subsurface tile drainage.