Livelihood Vulnerability Research Articles

Cryospheric changes and livelihood vulnerability in Lahaul Region of North-Western Himalaya, India

Cryospheric changes and livelihood vulnerability in Lahaul Region of North-Western Himalaya, India

Impact of agricultural extension services on rice productivity and profitability in Bangladesh

Agricultural extension services play a pivotal role in promoting sustainable agriculture, particularly in developing countries where many farmers are resource-poor. Enhancing farmers’ profitability and productivity is essential to meet the increasing demand of a growing population. This study aims to examine the impact of agricultural extension services on the profitability and productivity of rice farmers in Bangladesh. The analysis uses unbalanced panel data from the International Food Policy Research Institute’s Bangladesh Integrated Household Survey for 2015 and 2018. The Mann–Whitney U test was used to assess whether the differences between the participant and non-participant groups were statistically significant. Additionally, a probit regression model is used to identify the determinants of participation in agricultural extension services. The findings reveal that participation is positively influenced by access to subsidies, distance to market, occupation and livelihood vulnerability. The impact of agricultural extension services on farm productivity and profitability is assessed using difference-in-difference and random effect generalized least squares models. The results show that agricultural extension services significantly contribute to both farm profitability and productivity. This suggests that governments should intensify and monitor the delivery of agricultural extension services, particularly focusing on the timely provision of support resource-poor farmers.

Vulnerability of small-scale farming livelihoods under climate variability in a globally important archipelago of the Global South

Vulnerability of small-scale farming livelihoods under climate variability in a globally important archipelago of the Global South

Agriculture, Livelihood and Vulnerability: A Case Study of the Char Dwellers in Bankura District, West Bengal

This paper examines the livelihood vulnerabilities and coping strategies of char dwellers through a field study conducted in Mana Char. The analysis of their responses underscores the complexities of perceived agrarian threats and vulnerabilities of the Char inhabitants. It also suggests the need for re-examining the narrative of environmental risk and vulnerability within which chars are usually viewed. This study emphasises the component of subjectivity in perceiving agrarian threats. In doing so, it puts across the subtle differences in conceptualising agrarian threats in a char ecology and argues for ruling out the possibility of any generalisation regarding the environment of char and the operability of social life in it.

Livelihood vulnerability assessment of slum dwellers in Rajshahi, Bangladesh: Capital indices-based approach

Livelihood vulnerability assessment of slum dwellers in Rajshahi, Bangladesh: Capital indices-based approach

Climate-induced coastal occupational vulnerability and livelihood insecurity: Insights from coastal Bangladesh

The livelihoods of the fishing communities residing in the geographically vulnerable coastal zone are constantly threatened by escalating coastal disasters. The communities face persistent challenges, including livelihood failure, poverty, high exposure and sensitivity, and lower adaptive capacity, yet little attention has been paid to comprehending their multifaceted livelihood vulnerabilities amid climate-induced disasters. This study bridges that gap by employing several techniques to address the challenge. It adopts a mixed-method analysis and investigates the Livelihood Assessment Index (LAI), Livelihood Vulnerability Index (LVI), and Climate Vulnerability Index (CVI) to assess the livelihood vulnerability of fishermen communities residing in the new and old fishery ghats (riverside locations where fishing-related activities take place) in Chattogram district in southern Bangladesh. Findings reveal that the fishing communities experience higher exposure levels and moderate vulnerability in the face of escalating climate-induced disasters. The overall LAI indicates a relatively low level of livelihood satisfaction, suggesting potential challenges or deficiencies in aspects contributing to well-being. Despite socioeconomic and demographic similarities, as LVI values present, the exposure varies between the two study locations. Both locations are characterized by moderate sensitivity, while the new fishery ghat showed slightly higher adaptive capacity, contributing to greater resilience. The CVI values indicated higher vulnerability for the new fishery ghat fishing community, suggesting increased challenges related to climate-induced threats, and the old ghat community exhibited lower vulnerability, showcasing better resilience to disasters. Factors influencing livelihood vulnerability include limited access to education and healthcare in the new fishery ghat, while the old fishery ghat benefits from better provisions, communication, social networks, and education facilities. The study advocates for context-specific decision-making and targeted interventions to support vulnerable fishing communities in coastal zones globally, emphasizing the need for improved social safety nets and alternative livelihood options. Addressing these occupational vulnerabilities is crucial for long-term development in climate-risk countries like Bangladesh.

Coping with climate change: A livelihood vulnerability and adaptation analysis in Gaibandha, Rangpur, Bangladesh

AbstractThis study aimed to assess the impact of climate change using the Livelihood Vulnerability Index (LVI) and the adaptation strategies of communities, as measured by the Adaptation Strategy Index (ASI), among 120 households across six villages in Fulchari and Shaghata Upazilas of Gaibandha district in northern Bangladesh. The findings highlight changing climatic patterns and show that while respondents are generally aware of the impacts of climate change, there are notable knowledge gaps. Galna Adarshapara was identified as the most vulnerable village according to the LVI, indicating its high susceptibility in areas such as socio‐demographic profile, food security, health, natural hazards, and climate sensitivity. Factors contributing to this vulnerability include geographical isolation, limited education, underdeveloped infrastructure, inadequate health facilities, and a lack of alternative income sources during extreme events. However, coping mechanisms such as irrigation, crop diversification, and the use of double‐platform tube wells are commonly employed to address these climatic impacts. To enhance resilience, it is crucial to implement policy initiatives and institutional arrangements that support local communities in improving their living conditions and adapting to climate change challenges.

Integrating machine learning algorithms and fuzzy AHP for assessing livelihood vulnerability in Southwestern Coastal Bangladesh

The people living in the coastal regions of Bangladesh rely significantly on nature for their livelihoods, which renders them sensitive to climate change. The aim of this study is to determine the key indicators which contribute more to livelihood vulnerability of disaster-prone Gabura union in southwestern coastal Bangladesh. To achieve this goal, three machine learning algorithms are employed for determining the key indicators of livelihood vulnerability. Subsequently, a livelihood vulnerability index (LVI) is constructed using these key indicators with the weighting of indicators facilitated by Fuzzy AHP method. And finally, a livelihood vulnerability map (LVM) is generated to visualize the spatial distribution and analysis of livelihood vulnerability within the union. The study employs a mixed-methods approach, including questionnaire surveys, focus group discussions, key informant interviews, and remote sensing image analysis. A household survey of 950 households tracked livelihood vulnerability using 25 indicators across three domains of vulnerability, e.g., exposure, sensitivity, and adaptive capacity. ArcGIS and Google Earth Engine facilitated spatial data analysis. The Gabura Union exposed high vulnerability (LVI 0.63), driven by elevated exposure (0.61) and sensitivity (0.59) and lower adaptive capacity (0.30). The Livelihood Vulnerability Map (LVM) illustrates vulnerability across wards of the union, emphasizing high vulnerability zones on the periphery of the union, along the Kopothakho and Kholpetua rivers while central part of the union shows a moderate vulnerability level. The study's novelty lies in effectively integrating multiple methods for livelihood vulnerability assessment. Policymakers should target interventions focusing on areas along the Kopothakho River, to enhance community resilience.

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

Determinants of livelihood vulnerability to climate change among the agrarian community: Empirical evidence from the coastal region of Indian Sundarban Biosphere Reserve

The impacts of climate change on the livelihood of agrarian households on the coast of the Indian Sundaraban Biosphere Reserve have not been addressed. Thus, it is important to identify the underlying factors for livelihood vulnerability in this region and know how climate change-related events and socio-economic conditions affect them. This work aimed to measure six major domains of livelihood vulnerability, such as overall livelihood loss, livestock loss, crop and crop area loss, fishing area loss, housing loss, and income loss. I selected the ordered probit regression and focus group discussion approaches. Results revealed that the significant determinant factors of livelihood vulnerability were early warning system, education, land holding size, social group, type of house, occupation, distance to the local market and health centre, membership of self-help group, agreement with summer temperature increased, cyclone increased, flood increased, drought in Kharif season increased. In this region, several agrarian households have taken some adaptation measures such as changing crop varieties, crop diversification, converting agriculture to fishery, and saline tolerant varieties. This approach is adaptable and can be put into practice on different levels, not just in other parts of India but also in diverse developing countries.

Livelihood Vulnerability from Drought among Smallholder Livestock Farmers in South Africa

The impacts of drought and climate change on agriculture have become increasingly apparent, and affect smallholder livestock farmers. Farmers’ livelihoods rely on agriculture; thus, they are vulnerable to the primary and secondary impacts of climate change. In South Africa, policies for increasing the resilience of smallholder livestock farmers who have suffered from agricultural drought have not paid sufficient attention to the level of livelihood vulnerability. This study assessed the level of livelihood vulnerability of smallholder livestock farmers in the drought-stricken Frances Baard District Municipality in the Northern Cape Province of South Africa. The livelihood vulnerability of 217 randomly selected farmers from the municipality were determined using the Livelihood Vulnerability Index (LVI) and Livelihood Vulnerability Index of the Intergovernmental Panel on Climate Change (LVI-IPCC), which includes seven components and 34 subcomponents addressing livelihood. A high level of livelihood vulnerability, with an LVI score of 0.436, was determined and attributed to high-risk livelihood strategies, food, social networks, health, water, sociodemographics, natural disasters, and climate change. The LVI-IPCC of 0.04 also showed moderate vulnerability due to high exposure, high sensitivity, and low adaptive capacity, especially for the Phokwane, Dikgatlong, and Magareng districts in the Frances Baard municipality. Given continued drought recurrences, it is crucial for the government and other stakeholders to implement strategic and targeted sustainable interventions. The resilience of smallholder livestock farmers should be enhanced by increasing their adaptive capacity through diversified livelihood options while decreasing exposure and sensitivity to agricultural drought risks.

Livelihood vulnerability to climate change health impacts among Amhara Sayint district community, northeastern Ethiopia: A composite index approach

Climate change significantly impacts public health, affecting nearly everyone across the globe and contributing to approximately 10% of global mortality. Ethiopia is particularly vulnerable to the changing climate attributed impacts due to economic, and social determinants. While research on climate change is expanding, it often prioritizes its effects on agriculture. The impacts from public health perspective are frequently overlooked. We address this shortcoming by evaluating the vulnerability of the community in the district of Amhara Sayint, Amhara, northeastern Ethiopia, to the health impacts of climate change, and identifying factors involved. Data was collected using a community-based cross-sectional approach, involving 605 randomly selected households between July Twenty and September Five, 2022. The data collection process utilized a validated and pilot-tested questionnaire, which was administered through face-to-face interview with the aid of Kobo Collect toolbox. The community's vulnerability was assessed using the IPCC's framework of vulnerability. Household's Vulnerability status was then classified into three levels according to their Livelihood Vulnerability Index (LVI) score. A partial proportional oddsapproach of ordinal logistic regression model was used to identify factors associated with vulnerability to climate change attributed health impacts. Among the 605 respondents, 48% (95% CI: 44.1, 52.1) were identified as vulnerable, and about 4.6 % (95% CI: 3, 6.6) were classified as highly vulnerable. Wealth status (AOR1 = 1.8; 95 % CI: 1.2, 2.8), educational status (AOR1 = 2.8; 95% CI: 1.1, 7.3), marital status (AOR2 = 4.7, 95% CI: 1.6, 13.4), and home crowdedness (AOR2 = 2.9, 95% CI: 1.1, 8.1) significantly associated with vulnerability. Over half of the residents in the district wereeither being vulnerable or highly vulnerable to climate change attributed health impacts. Therefore, prioritizing prevention and preparedness along with conducting spatial analysis to identify high-risk areas for timely intervention, is essential.

Climatic and non-climatic factors driving the livelihood vulnerability of smallholder farmers in Ahafo Ano North District, Ghana

Smallholder farmers in Ahafo Ano North District, Ghana, face multiple climatic and non-climatic issues. This study assessed the factors contributing to the livelihood vulnerability of smallholder farmers in this district by household surveys with 200 respondents and focus group discussions (FGDs) with 10 respondents. The Mann–Kendall trend test was used to assess mean annual rainfall and temperature trends from 2002 to 2022. The relative importance index (RII) value was used to rank the climatic and non-climatic factors perceived by respondents. The socioeconomic characteristics affecting smallholder farmers’ perceptions of climatic and non-climatic factors were evaluated by the binary logistic regression model. Results showed that mean annual rainfall decreased (P>0.05) but mean annual temperature significantly increased (P<0.05) from 2002 to 2022 in the district. The key climatic factors perceived by smallholder farmers were extreme heat or increasing temperature (RII=0.498), erratic rainfall (RII=0.485), and increased windstorms (RII=0.475). The critical non-climatic factors were high cost of farm inputs (RII=0.485), high cost of healthcare (RII=0.435), and poor condition of roads to farms (RII=0.415). Smallholder farmers’ perceptions of climatic and non-climatic factors were significantly affected by their socioeconomic characteristics (P<0.05). This study concluded that these factors negatively impact the livelihoods and well-being of smallholder farmers and socioeconomic characteristics influence their perceptions of these factors. Therefore, to enhance the resilience of smallholder farmers to climate change, it is necessary to adopt a comprehensive and context-specific approach that accounts for climatic and non-climatic factors.

The vulnerability of fisheries-based livelihoods to climate variability and change in coastal small pelagic fishing communities in Tanzania

Fisheries-based livelihood activities constitute an essential means of income and well-being for the majority living in coastal areas. This paper examines vulnerability of fisheries-based livelihoods caused by climate variability and change. It focuses on three small pelagic fishers’ communities including Kipumbwi, Kilindoni, and Kilwa-Kivinje, along the Tanzanian coast, as a case study. Little research has been done on the effect of climate variability and change on the livelihoods of small-scale fishing communities in developing countries, particularly along the Tanzanian coast. In collecting data, questionnaire, focused group discussion and an interactive governance approach were used. Results showed that the natural vulnerability issues include, reduced catches, and strong winds. Economic vulnerability, mentioned lack of credit facilities. For social vulnerability, respondents mentioned an increased number of fishers and fishing vessels On the aspect of technology, respondents mentioned lack of modern fishing methods. As findings suggest, these vulnerability aspects, are possibly associated with anthropogenic factors such as illegal fishing, may not be related to climate change, but climate change may intensify them. The findings further showed that climate variability has negatively affected the fisheries on which fisher communities depend for income and for food security thus affecting their local economy. Climate change has negatively affected small pelagic fishers. The decline in fish catches and economic- un-matching changes in fish prices have negatively affected the fishing community's income, employment, and food security. The recommended means for reducing vulnerability include reducing taxes and levies, availability of facilities for reducing post-harvesting loss and availability of reliable markets.

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.

Review: Impact of food safety on global trade.

Food safety encompasses the supply and assurance of safe, high-quality food for consumers. It is a crucial aspect of food security, gaining greater global attention due to the increasing number of widespread foodborne incidents. International trade is expanding as countries increasingly rely on each other to secure a sufficient and diverse food supply. Beyond this, concerns about food safety have become more prevalent due to various factors. Therefore, this review aims to investigate the effects of food safety-associated risks on the international trade of food and related products. A total of 37 published studies retrieved using different search engines were included in this review. This review revealed that because of rapid population growth and rising food demand in developing nations, agricultural intensification is growing. It has been found that foodborne illnesses and associated discrepancies can impede the international trade of food commodities. Trade bans due to the fear of foodborne illnesses are growing. The consequences of foodborne diseases are multifaceted and include financial losses from trade restrictions, medical costs for prevention or control, resource depletion and a decline in food production. The overall effects are increased international trade tensions and livelihood vulnerability to poverty, notably for small-scale livestock producers. Potential food contaminants include microbes, pesticides, pharmaceutical residues, heavy metals and fraudulent such as improper food processing, mislabelling, poor packaging, adulteration and substitution. Hence, countries are encouraged to harmonize the rights and duties set by the World Trade Organization under sanitary and phytosanitarys to maximize their advantages in global markets. Based on this evidence, we recommend that each country develop and integrate regulations that would ensure the safety of both domestic and international food production systems. Furthermore, the global community should either revise the current functioning food regulatory and monitoring body or establish a more genuine collaborative network.

The role of agroforestry systems for addressing climate change livelihood vulnerability of farmers of Northwestern Ethiopia

Farmers in Ethiopia have been vulnerable to climate change in recent decades. In the face of this change, farmers have managed agroforestry systems to maintain their livelihoods. However, studies exploring the role of agroforestry in reducing household vulnerability are lacking in Northwestern Ethiopia. The objectives of the study were to (i) investigate households’ livelihoods vulnerability to climate change in Northwestern Ethiopia; (iii) assess the role of agroforestry in mitigating the negative impacts of climate change on farmers livelihoods. Key informant interviews, in-depth interviews, household surveys (387), and focus group discussions were used to collect the data. Descriptive statistics, principal component analysis, the X2-test, and the t-test were run to analyze the data. The findings revealed that households are vulnerable to rising temperatures, rainfall variability, frost, disease and pests, erosion, hailstorms, price hikes, wildlife damage to crops, and health stress. Agroforestry non-practitioners had a higher livelihood vulnerability index (LVI) (0.42 ± 0.081) than practitioners (0.46 ± 0.079). The Livelihood Vulnerability-Intergovernmental Panel for Climate Change Index (LVI-IPCC) showed that AF non-practitioners had a higher exposure (0.58), sensitivity (0.54) index, and a lower adaptive capacity index (0.44) than the exposure (0.34), sensitivity (0.38), and adaptive capacity index (0.51) of practitioners. Plant diversity, income level and diversity, livelihood activities, social network, and food security status of farmers were improved by agroforestry. Farmers were therefore less susceptible to adverse climate shocks. Thus, the AF system could be part of future adaptation and resilience programs that provide dependable tools to minimize households’ vulnerability to climate shocks. However, management guidelines, such as understanding local ecosystems, setting clear objectives, choosing suitable species, planning for diversity, considering the market, and regular maintenance and monitoring, are needed for agroforestry to improve its contribution.

Impact of wetland health and provisioning services on the livelihood of the fishing community.

The present study aimed to explore the linkage between wetland health, provisioning service value (PsV) and livelihood vulnerability of the dependent fishermen community taking examples from the Moribund deltaic wetlands of India. Wetland health including hydrological strength, habitat state, and the water quality of the wetland was assessed using a random forest (RF) and XGBoosing machine learning approach, and the Livelihood Vulnerability Index (LVI) was computed using balanced weighted approach. Ordinary least square (OLS) regression, correlation matrix, and rank correlation matrix were done to make the relationship between wetland health and LVI. Wetland health was found poor (28.38%) in the isolated, smaller, and peripheral parts of the wetland with agricultural and built-up area proximity. Hydrological strength (with r2 of 0.67) was found as the most dominant health determinant followed by habitat state (with r2 of 0.62). OLS reported that in most of the cases, the standard regression residual is low (0.5 to - 0.5) which indicates that there is a strong relation between wetland health and LVI. KDE plot and correlation matrix also figured out the same. From the field survey, it was found that the wetlands with good habitat health are promising for providing more provisioning services like fish which in turn supports the livelihood of the dependent communities. The findings of this study have a deeper insight into livelihood management through wetland management. Hence, it would inspire policymakers and stakeholders to conserve wetlands not only for the sake of ecology but also for society.

Assessing livelihood vulnerability of rural communities in the wake of recurrent tropical flood hazards in India

Assessing livelihood vulnerability of rural communities in the wake of recurrent tropical flood hazards in India

Forest Fire Hazards and Livelihood Vulnerability Assessment of Ghumsur Forests in Ganjam District of Odisha

Background: The livelihood patterns of indigenous tribal communities residing in the Ghumsur forests are intricately interwoven with their dependence on forest-related activities. However, the degradation of forest ecosystems, particularly the incidence of forest fires, exerts a profound impact on the socio-economic dynamics and resilience of these communities. Consequently, an exigent need arises to comprehensively elucidate, evaluate and comprehend the nuanced characteristics of these areas concerning the complex interplay between forest fires and livelihoods. Methods: A thorough investigation was conducted to evaluate livelihood vulnerability to forest fires in the Ghumsur North Division forests. This assessment utilized the Livelihood Vulnerability Index (LVI), incorporating 34 indicators condensed into six factors for a comprehensive composite index. The factors represented various aspects of vulnerability and were based on tangible indicators reflecting the complexity of livelihood vulnerability. Data sources were primarily used, with indicators standardized on a scale from 0 to 1, where values near 1 indicated higher vulnerability. Result: The Gallery sub-region is particularly vulnerable due to factors like poor infrastructure, increased reliance on forests, close proximity to forested areas, socio-economic fragility and exposure to extreme weather events. It’s crucial to improve adaptive capacity in fire-affected regions to reduce vulnerability to forest fires. Tailored policy interventions should focus on sector-specific development programs and involve communities in adaptation planning to address the link between livelihoods and susceptibility to forest fires.