Household Adaptation Research Articles

Anthropogenic Drivers of Floods and Household Adaptations Across the Coastal Wetland Areas of Limbe and Douala IV Municipalities, Cameroon

Many coastal wetland areas are experiencing the impacts of accelerated and episodic floods on the built environment and people’s livelihoods. This work examined the anthropogenic drivers of floods and household adaptations in Limbe and Douala IV Municipalities-Cameroon. Data was generated from primary and secondary sources and analysed using Statistical Package for Social Science version 26. Findings revealed that areas between 1-5m such as Clark’s Quarter, Down Beach, Mabanda and Ndobo witnessed severe floods. There was a statistically significant relationship between poor drainage facilities, haphazard settlement construction, blockage of drains by refuge and severe coastal flooding with probabilities values of (0.00582**, 0.0001*** and 0.0888*) respectively. Construction on raised foundation (p = 0.0439**), raising bed higher above the floor (p = 0.0370**), placement of valuable items above the floor (p = 0.0613*) and seasonal migration (p=0. 177) were principal informal adaptation strategies to floods. This study recommends proper land use planning by stakeholders.

Determinants of Perception, Adaptation Strategy and Measuring Composite Vulnerability of Agricultural Households to Climate Change in the Desert State Rajasthan, India

The study aims to assess agricultural households’ vulnerability, perception and adaptation to climate change in the desert state of Rajasthan, India. A data set of 600 households was collected using a purposive random sampling technique from six districts: Ajmer, Barmer, Jodhpur, Jaipur, Dausa and Tonk. While using the binary logit model, factors affecting the perception and adaptation of agricultural households were assessed, and a composite livelihood vulnerability index was constructed to determine the households’ susceptibility to climate change. The findings suggest that the majority of the households are moderately vulnerable. Of the total households surveyed, 89 per cent of the agricultural households perceive climate change. 83.3 per cent of perceived households used adaptation strategies such as mixed cropping, crop rotation and farm ponds. Socioeconomic variables like the educational status of the household head, farming experience, type of agriculture financial support, agricultural training, land size and access to agricultural institutions influence farmers’ adaptation decisions. Further, lack of information, extension services, access to credit, improved seeds and water, insufficient capital, infertile soil and a labour shortage are barriers to adaptive strategies. Hence, the study recommends effective government policies to enhance credit availability, financial support and agricultural mechanisation for agricultural households. JEL Codes: Q54, Q12, Q18

Social Economic Challenges of Adaptation to Climate Change in Masinga Sub-County, Kenya

Climate in Masinga sub-county has been changing at a momentum which is unprecedented in the recent human history. This area consists mainly small-scale farmers who depend on rain to carry out their farming activities. Coping strategies to the changing climate in the area has faced various challenges ranging from high poverty, low levels of education, age, gender among others. This study investigated how social-economic challenges affecting adaptation strategies on climate change among the households living in Masinga sub-county, in Kenya. The main objectives of the study included; 1) To examine the adaptation strategies employed by households in Masinga sub-county 2) To determine the main factors that affect household in adaptation to climate change in Masinga sub-county 3) To investigate the environmental implications of adaptation to climate change in Masinga sub-county. Essentially, variables such as education levels, age, gender, were assessed. In order to gain an understanding on adaptation strategies used by households in Masinga sub-county, the study was conducted in all six divisions. Various methods of sampling were used in the survey which included stratified random sampling based on the number of households proportionately in the six divisions. In essence, 384 household heads were sampled through stratified random sampling. The study employed specific data collection tools in order acquire data from the six divisions; structured questionnaires, interviews schedules, Focused Group Discussions (FGDs) and direct observation were used. Qualitative data was collected through; interviews, Desk research, Focus Group Discussions comprising six to eight sampled through stratified random sampling and purposive sampling. The households coping strategies, influence of adaptation strategy to climate change and environmental implications of household adaptation was analyzed through both qualitative and quantitative interpretation. Data from survey was organized and analyzed using descriptive and inferential statistics. The results were subjected to statistical package for social sciences (SPSS) to determine their reliability. When applying descriptive statistics, the results were presented in tables, bar graphs, and charts. In this study Chi-squire was used because it was easier to compare the results from a two dimensional perspective. These results after analysis by chi-square test, the p-value was found to be .001, thus, smaller than the significance level (α = .05). Using Chi-square tests, this study established that there is strong evidence of an association between the education level and the implementation of green-house farming (Χ2 (3) = 1.064, p = 0.001). Further analysis by chi-square test indicated that the p-value was found to be .008, thus, less than the significance level (α = .05). This study established that early warning as a strategy to adaptation to climate change was not common amongst households in the area. Further research is suggested on impact of charcoal burning on climate change adaptation and cost implications in semi- arid areas. The study findings will enable the government and other relevant stakeholders to ensure that early warning system information is able to reach the local residents at all times

Exploring the relationship between vulnerability and adaptation of rural households: disaster resettlement experience from rural China

In the face of environmental deterioration and to improve human welfare, China’s Shaanxi provincial government has launched one of the largest disaster shelter and resettlement projects in history. In assessing the likely success of this project, it is important to measure the vulnerability and adaptation of rural households in areas where the population experiences ecological and livelihood vulnerability. Based on 657 rural questionnaires collected in southern Shaanxi relocation zones, this study explores four categories of relationship between vulnerability and adaptation based on two aspects of livelihood resilience, namely specific resilience and general resilience. A multinomial logistic regression model is employed to investigate the influence of disaster resettlement on these categories. The analysis finds that: (1) there is a connection between these categories and household livelihood strategies, and rural households are more likely to adopt non-agricultural strategy or livelihood diversification strategy; (2) the livelihood resilience of relocated households is significantly higher than that of non-relocated household, with specific resilience being the main reason for the difference; (3) participation in disaster resettlement, centralized resettlement, and high relocation subsidies are not conducive to belonging in the “low vulnerability–high adaptation” category, while voluntary relocation is conducive to being in this category. These results have significant ramifications for China and other developing national disaster resettlement programs. It is critical for resettled households to reduce livelihood vulnerability and improve adaptive capacity.

Agent-Based Modeling for Household Decision-Making in Adoption of Private Flood Mitigation Measures: The Upper Kan Catchment Case Study

Residential areas in developing arid and semi-arid countries are highly vulnerable to flooding, and water shortages have forced their inhabitants to live close to rivers. While climate change is expected to cause more extreme weather conditions in the future, adopting private loss-reduction measures can diminish flood risk. Although the number of flood models has grown significantly for developing arid and semi-arid lands, these models suffer from being incapable of performing micro-scale flood risk analysis and including household behaviors. This research work presents a novel socio-economic simulation model in the framework of flood risk management (FRM) to couple household adaptive responses with flood risk analysis. Agent-based modeling (ABM) embeds human behaviors in a flood-simulating environment. The focus of this research is the upper Kan catchment in Iran with a long history of severe flash flooding. Our results show the ability of the developed framework to address household participation in FRM activities through private precautionary measures. Moreover, the results indicate the importance of presenting such micro-level behaviors in flood modeling for a more realistic flood risk assessment. It is also demonstrated that household adaptation in a continuous way can lead to less flood risks in the region, even under climate change and the future economy. Finally, the results reveal that the remaining and diminished regional flood risks are influenced by the behavioral framework through which the individuals make decisions in adopting flood-loss-reduction measures. A similar pattern is, however, observed in household contributions over time among the discussed behavioral approaches.

Weather-related shocks, livelihood assets and coping strategies of water-insecure smallholder rice farmers: A case study from Ogun State, Nigeria

Building resilience against shocks is crucial for enhancing the livelihoods of water-insecure smallholder farming households. This research investigates household coping strategies for mitigating weather-related shocks and explores differences in the livelihoods of water-insecure smallholder rice farming households in Ogun State, Nigeria. Field survey data was collected from 175 households, and a coping strategies index was formulated, taking into account the severity and the frequency of coping measures. Using the k-means cluster approach, households were categorized into four clusters based on the components of the sustainable livelihoods framework. The study reveals variability across the clusters in terms of vulnerability and the degree to which households are able to use adequate coping strategies. Two out of the four clusters (clusters 1 and 2) are identified as coping farming households with moderate to high vulnerability to drought and floods, while clusters 3 and 4 are limited coping farming households with moderate to low vulnerability to these weather-related shocks. Addressing households’ challenges to cope with extreme weather events is necessary to enhance the resilience and adaptability of water-insecure farming households, and will contribute to creating sustainable livelihoods of at-risk households facing climate emergencies.

Defending against environmental threats: Unveiling household adaptation strategies and population heterogeneity

Humanity faces a variety of risks from pollution and environmental degradation. Societal advancement has equipped the public with numerous self-protection measures to mitigate these threats. However, the ways in which individuals deploy and balance self-defence mechanisms within this complex risk landscape and the resulting consequences remain largely unexplored. Drawing on a detailed survey of households’ self-defence practices, this study rigorously analyses the heterogeneity and driving factors behind household-level self-defence strategies. Through exploratory latent class modelling, we identified four distinct defence patterns: inaction, water-sensitive, air-sensitive, and multifaceted. These patterns reveal varied defence capabilities among the population. By integrating frameworks from economics and social psychology, significant disparities were found in the driving factors behind these patterns. Practices aimed at combating air pollution are primarily driven by the actual severity of pollution and perceived coping capabilities, whereas measures to enhance water quality are influenced more by perceived threats. This disparity arises from variations in information availability and health awareness. The study also highlights a misalignment between the distribution of defence capabilities and the levels of pollution. Given that income restricts self-defence options, this mismatch indicates that economically disadvantaged groups are disproportionately affected by severe health inequalities.

Full household equilibrium

AbstractDeveloping ideas suggested by James Meade, Harry Johnson and Neil Laing, we argue that when one compares alternative long‐period positions, as in the work‐horse two commodity, two primary input model, the household's expenditure and the prices of the commodities purchased cannot be treated as independent variables. We call such a full adaptation of households to consistent price configurations ‘full household equilibrium’. It is found that, at both the household and the aggregate levels, the purchased quantity of a ‘normal’ commodity can increase when its relative price rises. This basic result is readily applied both to aspects of welfare theory and to international trade theory.

Household energy resilience in extreme weather events: An investigation of energy service importance, HVAC usage behaviors, and willingness to pay

Household energy resilience, particularly maintaining essential energy services within an acceptable and affordable level, is critical during extreme weather events (e.g., winter storms, heat waves) with power shortages or outages. However, the research on the importance and acceptable compromise levels of energy services, HVAC usage behavior changes, and willingness to pay (WTP) for energy services during disasters is limited. Therefore, this study investigates the importance and compromise of household energy services, HVAC usage behaviors, and WTP, as three key dimensions of household energy resilience, in both normal days and disaster scenarios through surveys (n = 485). First, 12 common residential end-uses are grouped into high, mid, and low-priority services using hierarchical clustering, in which high-priority services (perceived as important and un-compromisable) include food cooking and storage (refrigerator and freezer) and thermal comfort (space heating and cooling), mid-priority services involve water heating and lighting, while low-priority services are mostly related to entertainment and housework (e.g., TV, laundry). Also, HVAC use patterns demonstrate that occupants become more energy conservative during disasters, e.g., reducing durations of running HVAC and adjusting temperature setpoints to save energy. In terms of energy cost, approximately 60% of respondents are willing to pay more to maintain energy services during disasters, although only 13% are prepared to pay over double the normal energy prices. The regression models further reveal that household energy resilience varies across different socio-demographic groups (e.g., age, income, family size) and is impacted by disaster experience and beliefs in clean energy and climate. These research findings provide important perspectives to understand household energy resilience and inform measures for disaster adaptation of households in extreme weather events.

The utilization and contribution of timber and non-timber forest products to livelihoods under a changing climate in the Limpopo River Basin

Forest products contribute immensely to rural livelihoods and household income. However, their contribution to climate change adaptation in semi-arid areas, and the limited ecosystem management capacities of rural communities are poorly examined. We examined the influence and challenges of cash income derived from forest products on livelihoods and climate change adaptation using data from 130 household surveys, 20 participatory mapping exercises, several in-depth interviews, and field observations in the Limpopo Basin of Botswana. Households derived livelihoods and/or income from Mopane caterpillars, firewood, timber, palm plants, wild fruits, thatch, medicinal plants, natural dyes, natural pastures, and game meat. Mopane caterpillars, firewood, and other forest products featured in the top ten sources of household income and contributed weighted monthly income of BWP 1,647.27 ± 1,519.04, BWP 1,110.02 ± 1,980.05, and BWP 780.56 ± 1,360.32, respectively (US$1 ≈ BWP13.4). A higher proportion of households (62.3%) were in the low-income category, earning income below BWP5,000/month. Income derived from Mopane caterpillars and firewood made a significant difference between low-income and high-income households (p = 0.006). Generally, higher proportions of high-income households adopted climate change adaptation measures than proportions in the low-income category, indicating the influence of cash income on household adaptations. However, significant differences were only observed in cropland expansion, purchasing of supplementary livestock feed, drilling boreholes/wells, and use of drip irrigation (p < 0.05). We discuss the potential threats, such as the unsustainable harvesting of forest products, caused by an increasing need for cash incomes and the interconnectedness with distant urban markets. Such threats add to the institutional and biophysical challenges, further limiting prospects for effective adaptation in the Limpopo Basin of Botswana. We call on the government to capacitate and strengthen traditional authorities—as custodians of local resources—in the regulation, management, and conservation of forest products to make them more sustainable adaptation options.

Migration as an adaptive strategy to climate change in Ethiopia: Venturing into unexplored territories

Ethiopia contends with the profound repercussions of climate change, notably prolonged droughts disrupting the lives of millions. Despite concerted mitigation efforts, a dearth of understanding prevails regarding adaptation strategies among affected individuals and communities. This study meticulously examines household adaptation mechanisms to climate change, with a particular focus on migration as an adaptive response. Utilizing Grounded theory method of qualitative methodology, our research rigorously scrutinizes migration's efficacy in bolstering adaptive capacities within Ethiopia's climatically vulnerable Kembata Zone. In the Kembata Zone of Ethiopia, agricultural communities contend with multifaceted climate change impacts—temperature surges, erratic rainfall patterns, prolonged dry seasons, crop diseases, and diminished land productivity. This research accentuates migration not merely as a key but an effective adaptive strategy in this context. Our investigation illuminates that farmer households sends members to diverse domestic and international destinations as a strategy of climate change adaptation. Significantly, seasonal, and temporary migrations to local destinations emerge as primary strategies for climate change adaptation. Such migration provides farmer households with access to farmland, which is critical for cash and food crop production, countering potential productivity downturns in the areas of origin attributed to climate change. Notably, some households send their members to international destinations, where remittances have been found to play a pivotal role in addressing escalating climate change challenges by financing climate-resilient agricultural activities and livelihoods.

Extreme heat and rural household adaptation: Evidence from Northeast China

More extreme heat events are expected under climate change, posing threats to food production as well as the lives of agriculture-dependent rural households. Using a detailed panel of rural households in an agricultural region of China, we find extreme heat substantially decreases crop production and lowers households’ agricultural returns. Nevertheless, the households successfully smooth their consumption contemporaneously by utilizing precautionarily saved buffers (liquid financial assets and crop stocks), especially among those who regularly hold these buffers. Their future expenditures are also largely unaffected. This adaptability of consumption smoothing discourages within-season adjustments in variable inputs and productive assets. Still, extreme heat guides impacted households toward a more diverse but less risky crop portfolio in later years.

Loadshedding Impact on Food Spoilage: An Analysis of Household Experiences in South Africa

South Africa has been challenged with loadshedding for the past decade. Most recently, loadshedding became a crisis as the year 2022 was reportedly the most in which electricity was load shed compared to the previous years. Guided by the South African Constitution of 1996, the right of South Africans to access electricity is embedded within the constitutional obligations of Eskom. The power utility is mandated to provide reliable electricity supply and ensure just administrative action when taking actions that deprive citizens of electricity access (Pieterse, 2023). In practice, however, it has become evident that rendering services such as electricity remains a major challenge. South Africans experience loadshedding daily, which affects their energy usage. In essence, loadshedding has impacted negatively, especially the disadvantaged. Despite planned loadshedding stages, households still experience direct impacts of loadshedding. Appliances such as refrigerators become mal-functional, resulting in food kept in cool temperatures being spoiled. Although loadshedding food spoils have been identified as a phenomenon at household level, the current response in terms of household planning and awareness has not been adequately documented. The paper aims to address this by arguing that there is a need for households to engage in targeted measures that help households cope and adapt to loadshedding food spoils. Furthermore, the study provides a TO-DO list on how households can improve their ability to adapt and cope with loadshedding. The paper used a qualitative methodology focused on analysing the lived experiences of News24 participants. Literature review was conducted where journal articles, newspapers and books were analysed. Thereafter, lessons are drawn from literature, to develop and provide a way forward towards dealing with loadshedding food spoilage at household level. The findings of the paper conclude that effective loadshedding and food spoil adaptation can limit food spoilage. Keywords: Loadshedding, Energy, Refrigerator, Food spoil, Food waste, Household adaptation

Economic implications of autonomous adaptation of firms and households in a resource-rich coastal city

Climate change intensifies the likelihood of extreme flood events worldwide, amplifying the potential for compound flooding. This evolving scenario represents an escalating risk, emphasizing the urgent need for comprehensive climate change adaptation strategies across society. Vital to effective response are models that evaluate damages, costs, and benefits of adaptation strategies, encompassing non-linearities and feedback between anthropogenic and natural systems. While flood risk modeling has progressed, limitations endure, including inadequate stakeholder representation and indirect risks such as business interruption and diminished tax revenues. To address these gaps, we propose an innovative version of the Climate-economy Regional Agent-Based model that integrates a dynamic, rapidly expanding agglomeration economy populated by interacting households and firms with extreme flood events. Through this approach, feedback loops and cascading effects generated by flood shocks are delineated within a socio-economic system of boundedly-rational agents. By leveraging extensive behavioral data, our model incorporates a risk layering strategy encompassing bottom-up and top-down adaptation, spanning individual risk reduction to insurance. Calibrated to resemble a research-rich coastal megacity in China, our model demonstrates how synergistic adaptation actions at all levels effectively combat the mounting climate threat. Crucially, the integration of localized risk management with top-down approaches offers explicit avenues to address both direct and indirect risks, providing significant insights for constructing climate-resilient societies.

Forecasting the key parameters of socio-economic development of the Republic of Bashkortostan

Subject. This article examines the issues related to the adaptation of households and the business sector to changing conditions of the internal and external environment. Objectives. The article aims to analyze the indicators fixed in the basic version of the forecast of socio-economic development of the Republic of Bashkortostan for the coming years. Methods. For the study, we used a statistical analysis. Results. The article finds that the forecast values of the indicator Real Disposable Income of the Population in the event of increased instability in foreign markets and depreciation of the national currency in the medium term may not be achieved. Labor productivity is a key factor in economic growth with low growth rates of the average annual number of employees. Relevance. The results of the study can be used by regional authorities in the formation of key areas of tax and budget policies of the Republic of Bashkortostan.

Adaptive pastoralists—Insights into local and regional patterns in livelihood adaptation choices among pastoralists in Kenya

Pastoralist adaptation strategies have to address multiple, overlapping, and often inter-related processes of socio-ecological change. The present study addresses the need for inter-regional comparative studies that account for different geographic, climate, and socio-economic contexts in order to understand how pastoralists adapt to changes in livelihood conditions. The paper uses data from a unique survey study of pastoralist households in four neighbouring counties in dryland Kenya. Taking our point of departure from an empirically based classification of the livelihood strategies available to pastoralists in the Horn of Africa, the survey offers novel insights into adaptation and fodder management strategies of pastoralist individuals and households. The results show that the use of migration as a strategy is more dependent on the ability to migrate than climate conditions. This is the case in localities where a substantial part of the land is subdivided, the population density is high, and where opportunities for migration are subsequently restricted. Diversification of livelihoods as a strategy is largely defined by opportunity. Intensification through active fodder management is mainly common in areas where there has been a proliferation of managed enclosures. Climate change will test the adaptive capacity of pastoralists in the studied region, and diversification and intensification strategies of both herd composition and livelihoods can be seen as strategies for increased climate resilience.

Household Adaptations to and Impacts from Electric Power and Water Outages in the Texas 2021 Winter Storm

Household Adaptations to and Impacts from Electric Power and Water Outages in the Texas 2021 Winter Storm

Uncertainty in boundedly rational household adaptation to environmental shocks.

Despite the growing calls to integrate realistic human behavior in sustainability science models, the representative rational agent prevails. This is especially problematic for climate change adaptation that relies on actions at various scales: from governments to individuals. Empirical evidence on individual adaptation to climate-induced hazards reveals diverse behavioral and social factors affecting economic considerations. Yet, implications of replacing the rational optimizer by realistic human behavior in nature-society systems models are poorly understood. Using an innovative evolutionary economic agent-based model we explore different framings regarding household adaptation behavior to floods, leveraging on behavioral data from a household survey in Miami, USA. We find that a representative rational agent significantly overestimates household adaptation diffusion and underestimates damages compared to boundedly rational behavior revealed from our survey. This "adaptation deficit" exhibited by a population of empirically informed agents is explained primarily by diverse "soft" adaptation constraints-awareness, social influences-rather than heterogeneity in financial constraints. Besides initial inequality disproportionally impacting low/medium adaptive capacity households post-flood, our findings suggest that even under a nearly complete adaptation diffusion, adaptation benefits are uneven, with late or less-efficient actions locking households to a path of higher damages, further exacerbating inequalities. Our exploratory modeling reveals that behavioral assumptions shape the uncertainty of physical factors, like exposure and objective effectiveness of flood-proofing measures, traditionally considered crucial in risk assessments. This unique combination of methods facilitates the assessment of cumulative and distributional effects of boundedly rational behavior essential for designing tailored climate adaptation policies, and for equitable sustainability transitions in general.

A global assessment of actors and their roles in climate change adaptation

An assessment of the global progress in climate change adaptation is urgently needed. Despite a rising awareness that adaptation should involve diverse societal actors and a shared sense of responsibility, little is known about the types of actors, such as state and non-state, and their roles in different types of adaptation responses as well as in different regions. Based on a large n-structured analysis of case studies, we show that, although individuals or households are the most prominent actors implementing adaptation, they are the least involved in institutional responses, particularly in the global south. Governments are most often involved in planning and civil society in coordinating responses. Adaptation of individuals or households is documented especially in rural areas, and governments in urban areas. Overall, understanding of institutional, multi-actor and transformational adaptation is still limited. These findings contribute to debates around ‘social contracts’ for adaptation, that is, an agreement on the distribution of roles and responsibilities, and inform future adaptation governance.

Climate change in the Sidama region, Ethiopia: linking perceptions and adaptation

AbstractClimate change is expected to have serious socioeconomic impacts on smallholder agriculture, but overall impacts will also depend on the extent of household adaptation to climate change. This study investigates household-level factors that may help describe and explain perceptions about climate change and examine how these perceptions influence choices related to specific land-use adoption strategies. Logistic regressions were applied to address these objectives. Cross-sectional survey data were derived from 315 randomly selected smallholder mixed farmers in Ethiopia. The results indicate that a significant number of farmers believe that temperatures have increased over the last 10–20 years and that precipitation has declined. Education, agroecological settings, and social capital significantly influenced perceptions of increased temperature. Gender, distance, access to climate change information, and social capital significantly influenced perceptions of reduced rainfall. The odds of decisions to adopt specific land-use adaptation measures to climate change are significantly influenced by perceived changes in rainfall and temperature but also by social, human, and natural capital access. Adoption is also linked to gender, distance to markets, access to climate change information, and farm location. Thus, rural interventions aimed at addressing more general agricultural adaptation to climate change should account for these factors.