Search Results (152)

Financial inclusion can boost wealth, health, and quality of life. However, few studies have examined how women’s participation in community-based financial inclusion opportunities, such as village saving and loan groups (VSLGs), relates to household food security. Using program data from central Mozambique, this study examined whether low-income women’s participation in VSLGs directly increases household food availability, as well as indirectly through increased asset ownership. Employing a post-test-only comparison group quasi-experimental design, the study sampled 205 female VSLG participants and non-participants from three sub-villages in Mozambique’s Sofala province. Structural equation modeling (SEM) results indicated that low-income women’s participation in VSLGs is directly associated with a reduction in household hunger score (β = −0.21, p < 0.01), as well as indirectly associated through the mediating role of household assets ([Sobel indirect effect] = −0.06, p = 0.05). The VSLG participants showed a significant increase in household asset ownership compared to non-VSLG participants (β = 0.15, p < 0.05). Further, increased asset ownership significantly correlated with a lower probability of household hunger (β = −0.30, p < 0.01). The results suggest that community-based financial inclusion approaches could improve the availability of food through asset building among Mozambique’s low-income women. The study offers a potential strategy for policymakers and development experts to utilize community approaches to financial inclusion to improve rural and low-income women’s livelihoods. Full article

This study addresses a theoretical gap by examining how multiple livelihood assets collectively enhance rural communities’ adaptive capacity and contribute to rural resilience theory. Using structural equation modeling, data were collected from June to August 2024 from 372 randomly selected households in Karangrejo Village, Indonesia, to test whether livelihood assets significantly influence adaptive capacity in response to diverse economic, social, and environmental shocks. The findings reveal that human, natural, physical, and social capital show a strong, positive effect on adaptive capacity, whereas financial capital alone does not significantly enhance resilience. Despite the limited geographic scope, the results underscore that comprehensive asset combinations—rather than reliance on a single form of capital—strengthen a community’s capacity to withstand shocks. This integrated perspective suggests that balanced investments across multiple forms of capital foster sustainable and flexible adaptation strategies, enabling communities to navigate uncertainty and maintain stability. The study highlights the critical importance of diversifying livelihood assets to foster long-term rural resilience and improve quality of life, offering practical insights for policymakers, practitioners, and researchers in developing holistic interventions that support adaptive capacity. Full article

This study was conducted in Sawena district, located in the Eastern Bale Zone of Ethiopia, with the aim of analyzing climate variability and identifying adaptation strategies. Secondary data covering the period from 1984 to 2023 were utilized, along with structured and unstructured questionnaires. Primary data were gathered from 350 pastoralist households across six kebeles through a household survey. This study used the Mann–Kendall test, Sen’s slope estimator, the coefficient of variation, descriptive statistics, and a multivariate probit model to analyze climate variability and adaptation strategies. The Mann–Kendall test, Sen’s slope estimator, and coefficient of variation analysis results showed significant rainfall increases in September, October, and November, with high winter variability and an upward autumn trend. Temperature analysis revealed consistent warming, with the greatest increases in September (0.049 °C/year) and summer (0.038 °C/year), and an annual mean rise of 0.034 °C per year, indicating climate shifts affecting pastoralist and agro-pastoral livelihood strategies and water resources that lead the area toward vulnerability. The descriptive results indicated that pastoralist households have adopted various adaptation strategies: 45.1% participate in seasonal livestock migration, 26.3% rely on productive safety net programs, 19% pursue livelihood diversification, and 9.7% engage in agroforestry. Multivariate analysis indicates that education, age, credit access, livestock ownership, asset value, and media exposure influence these strategies. The findings highlight the importance of policies to enhance climate resilience through diversification, sustainable land management, and improved access to resources like credit and markets, alongside strengthened education and targeted extension services. Full article

Balancing ecological conservation and economic development is a significant global challenge, particularly in developing countries where rich natural resources often coincide with impoverished areas. This study used the Yunhe Terrace as a case, integrating remote sensing data and statistical analysis to quantify the ecosystem asset value and its changes before and after ecological conservation efforts. Additionally, we assessed the nonmaterial service value and conducted a questionnaire survey to explore the impact of nonmaterial service value on the socio-economic development of local residents. The key findings are as follows: (1) The ecosystem assets of the Yunhe Terrace include four main types: forests, grasslands, wetlands, and cultivated land. In 2020, the Yunhe Terrace ecosystem was primarily composed of forest (56.79%) and cultivated land (36.61%), showing a balance between natural and modified landscapes. (2) The monetary value of ecosystem assets was calculated based on the economic net benefits of ecosystem assets over their expected useful lifespan (20 years in this study). The value of the Yunhe Terrace ecosystem before and after it became a scenic spot was assessed. Results showed that the total value of ecosystem assets increased from 265 million CNY to 523 million CNY over a 20-year period, representing an increase of 257 million CNY. (3) The value of nonmaterial services, represented here by net revenues from eco-tourism, was calculated from 2018 to 2022, covering the period before and after ecological conservation efforts began in 2019. Results showed the value of nonmaterial services rose from 3.07 million CNY in 2018 to 8.90 million CNY in 2022, a growth of 189.77% after ecological conservation. (4) Field surveys and questionnaire analysis of stakeholders’ income sources suggest that ecological conservation and recreational development in the Yunhe Terrace ecosystem have increased household income in terms of both the number of income sources and monetary value. This study demonstrates that ecological conservation and tourism can enhance household welfare, contributing to a better understanding of the dynamics between conservation and economic development. Full article

Animal biodiversity is essential for maintaining the functionality of local food systems and ensuring sustainable livelihoods. Starting in 2000, the Food and Agriculture Organization of the United Nations (F.A.O.) has drawn attention to the decline in cattle populations, including the Transylvanian Pinzgau breed from Romania. Renowned for its hardiness, adaptability, and enhanced resistance to diseases and climate change, the Transylvanian Pinzgau is regarded as an important genetic asset for advancing livestock production. As a result, tracking genetic diversity has become a key focus in breeding programs, particularly for small, endangered local populations that play a vital role in regional agro-ecological systems. This research paper sought to assess the genetic diversity of a group of 24 head of cattle from the Transylvania region by analyzing two mtDNA markers, cytochrome b and D-loop sequences, both widely recognized for their relevance and importance in the analysis of genetic diversity of cattle and phylogenetic studies. The findings, derived through statistical analysis of nucleotide sequences using specialized software, indicated that the analyzed cattle are part of the ancestral T haplogroup, with a direct lineage tracing back to Bos taurus. This information can aid in developing crossbreeding programs focused on conserving essential genetic resources, improving other cattle breeds, and protecting biodiversity. Full article

Promoting the coordination of livelihoods at the county and farmers’ scales is essential for achieving balanced regional development and rural revitalization in post-poverty mountainous areas. Existing studies predominantly focus on farmers’ or regional livelihood capital and livelihood efficiency at a single scale, lacking research on cross-scale coordination between farmers’ and county livelihoods. Consequently, these studies fail to reveal the interactions and synergistic enhancement pathways between the two scales. This study, using the Qinba mountains in southern Shaanxi as a case, employs system dynamics to construct a coupled system dynamics model of farmers’ livelihood efficiency and county livelihood efficiency. From the perspective of livelihood capital, five regulatory modes, comprising a total of 17 scenarios, were designed and simulated. The results indicate the following data: (1) The coupling coordination degree between farmers’ livelihood efficiency and county livelihood efficiency in the Qinba mountains is 0.623, indicating a moderate level of coordination overall. However, the coupling coordination relationship requires further optimization and adjustment. Specifically, Foping exhibits a severe imbalance, while the coupling coordination degree of Shiquan, Zhashui, Baihe, Pingli, and Lan’gao is in a state of basic coordination. Additionally, 19 other counties, including Lueyang, Ningqiang, Yang, and others, exhibit moderate coordination. (2) Enhancing social or financial capital through various means typically promotes the coordinated development of farmers’ and county livelihood efficiency. On average, social capital and financial capital regulation models can increase the coupling coordination degree by 0.08 and 0.17, respectively. Additionally, strategies such as increasing fixed asset investment and regulating other capital types, including reducing arable land, also effectively improve the coupling coordination degree of farmers’ and county livelihood efficiency. This study provides a decision-making basis for improving the coordination of farmers’ and county livelihoods in post-poverty mountainous areas, thereby promoting economic development and intensive resource utilization. It assists in formulating more precise policy measures and offers a reference for sustainable development and rural revitalization in similar regions. Full article

The purpose of this study was to investigate temperature and rainfall variations and their effects on the UNESCO World Heritage Sites of Konso cultural landscape, Ethiopia, using dense merged satellite–gauge-station rainfall data (1981–2020) with a spatial resolution of 4 km-by-4 km and observed maximum and min temperature data (1987–2020), together with qualitative data gathered from cultural leaders, local administrators and religious leaders. The Climate Data tool (CDT) software version 8 was used for rainfall- and temperature-data analysis. The results showed that the north and northeastern regions of Konso had significant increases in rainfall. However, it was highly variable and erratic, resulting in extreme droughts and floods. The study confirmed that there were significant (p < 0.05) increasing trends in the number of days with heavy rainfall, very-heavy rainfall days, and annual total wet-day rainfall (R10 mm, 20 mm, and PRCPTOT). The highest daily minimum temperature, lowest and highest daily maximum-temperature number of warm days and nights, and number of cold days and nights all showed significant rising trends. The increasing trends in rainfall and temperature extremes have resulted in flooding and warming of the study area, respectively. These have led to the destruction of terraces, soil erosion, loss of life and damage of properties, loss of grasses, food insecurity, migration, loss of biodiversity, and commodification of stones. The continuous decline in farmland productivity is affecting the livelihood and traditional ceremonies of the Konso people, which are helpful for the transfer of traditional resource-management knowledge to the next generation. It is therefore necessary to implement local-scale climate change adaptation and mitigation strategies in order to safeguard the Konso cultural landscapes as a worldwide cultural asset and to bolster the resilience of smallholder farmers. Full article

The government of China has implemented the Southern Shaanxi Disaster Resettlement program since 2011, which aims to address the problems of reduced livelihood resilience, increased livelihood risks, and single-risk management strategies caused by the frequent occurrence of natural disasters. This study considers the specific situation of disaster resettlement in Ankang Prefecture, southern Shaanxi Province, and draws on Quandt’s measurement idea to quantify livelihood resilience at the household scale in terms of five types of capital assets: natural, physical, human, financial, and social. A coarsened exact matching model was used to control confounding factors in the observational data to reduce sample selection bias, and then multinomial logit regression models were used to examine how livelihood resilience affects risk management strategies; moreover, the effects of different indicators of livelihood resilience, relocation characteristics, and follow-up support measures on risk management strategies were analyzed. Results show that livelihood resilience is higher among new-stage relocation, voluntary relocation, and centralized resettlement households, and working outside of the home accounts for the largest proportion of risk management strategies chosen by the sample households. In addition, livelihood resilience and its dimensions and indicators, relocation characteristics, and follow-up support measures have different impacts on risk management strategies. These results have considerable significance in guiding research on risk management strategies at the household scale and can serve as a reference for disaster resettlement in other developing nations and regions. Full article

Poverty remains a significant global challenge, particularly in severely impoverished areas where balancing eco-civilization and economic growth is crucial. This study aims to analyze livelihood assets, determine appropriate strategies, and establish an eco-compensation model based on ecological vulnerability in Longnan City. We developed a livelihood evaluation index system using the Sustainable Livelihoods Framework and entropy weight method to assess the vulnerable portfolio of livelihood assets. We examined poverty causes and proposed targeted alleviation measures. Additionally, we created an “Eco-Compensation Model of Longnan City” incorporating the Sloping Land Conversion Program, key industries exit compensation, and cross-provincial water compensation based on incentive and punitive mechanisms. Our findings reveal that severely impoverished areas in Longnan City are primarily in the central, southern, and northwestern regions. Poverty is driven by unfavorable natural conditions, frequent natural disasters, regional economic marginalization, inadequate infrastructure, and a limited agricultural structure. The evaluation shows that natural capital in the five areas is lower than the national average level. We propose targeted measures for different vulnerable livelihood portfolios. The eco-compensation model provides a scientifically calculated compensation standard, offering a crucial funding source for implementing targeted poverty alleviation strategies. Full article

Enhancing collective action among rural households is crucial for promoting rural revitalization and improving livelihoods in underdeveloped areas. Taking Shanxi Province, China, as a case study, this paper employed a household survey method to collect 312 questionnaires from rural households. Using the mean value analysis of the measured items in the questionnaire. The participation status of farmers in less developed areas in collective actions, such as farmers’ professional cooperatives, village cadre elections, and cooperative construction of small farmland water conservancy, was examined in four aspects: willingness to participate, frequency of participation, time of participation, and sense of the value of participation. From the perspectives of livelihood risks, livelihood assets, livelihood patterns, and livelihood income, it analyzed the livelihood conditions of rural households in underdeveloped regions. Building upon the empowerment of collective action in rural livelihoods, the study further applied a multiple linear regression model to assess the impact of collective action on livelihoods. The findings indicated (1) a strong willingness and perceived value among rural households to participate in collective action, albeit with a low frequency and limited time commitment; (2) relatively low livelihood levels, characterized by limited livelihood assets, predominant subsistence farming, small-scale non-specialized enterprises, and low livelihood income, yet with notable resilience against livelihood risks; (3) that collective action significantly enhances rural household livelihoods positively. Based on these findings, policy recommendations are proposed, emphasizing the enhancement of collective organization, provision of incentive mechanisms, and improvement of farmers’ skills and qualities to foster greater participation in collective action. Full article

From the perspective of household productivity, this paper analyzes the capital composition of the household and the formation mechanism of relative poverty. Based on the CFPS data in 2020, it uses the Alkire–Foster (AF) index to measure the breadth and depth of relative poverty in different regions and puts forward its governance mechanism. The results show that there are significant differences between urban and rural areas and among different regions. The relative poverty incidence rate is mainly concentrated in four indicators, accounting for 30.8% of the total number of indicators. From high to low, the incidences of relative poverty in a single dimension include financial assets, livelihood assets, health, and employment levels. The breadth is mainly reflected in economic capital, health, employment, and education level. The depth is reflected in financial assets, health level, and social network indicators. Except for the social capital dimension, the poverty in rural areas is higher than urban areas, and the central and western regions are higher than the eastern regions, showing a distinct characteristic of imbalanced urban–rural and regional development. This paper proposes the relative poverty governance mechanism of households’ capital accumulation, urban–rural integrated development and regional coordinated development. Full article

The agricultural land management under the household responsibility system (HRS) in rural China empowers farmers with land tenure rights, meeting the basic needs for their livelihoods and employment by cultivating the land. This paper investigates the pivotal role of agricultural cultivated land as a social safety net, ensuring livelihood security for farmers confronting a recession in off-farm employment. Our analysis is based on data collected from six provinces (Heilongjiang, Henan, Zhejiang, Yunnan, Shandong, and Anhui) in the rural areas of China from 2019 to 2020. We investigated the impact of the off-farm employment recession on the mental health of farmers and the moderating effect of land as a social safety net on the relationship between the off-farm employment recession and mental health. The analysis points to the following results: (1) The majority of farmers have significantly reduced off-farm working time during employment recession. (2) The off-farm employment recession has worsened farmers’ mental health. (3) Farmers’ land assets through tenure rights provide both income and employment security functions, which can mitigate the adverse effects of the off-farm employment recession on their mental health. The findings of this study highlight the crucial role of land assets to reduce the negative impact of unemployment in the context of economic recession, emphasizing the significance of the policies supporting the land rights among vulnerable rural groups. Full article

Wetlands are integral components of agricultural landscapes, providing a wide range of ecological, economic, and social benefits essential for sustainable development and rural livelihoods. Globally, they are vulnerable ecological assets facing several significant threats including water extraction and regulation, land clearing and reclamation, and climate change. Classification and mapping of wetlands in agricultural landscapes is crucial for conserving these ecosystems to maintain their ecological integrity amidst ongoing land-use changes and environmental pressures. This study aims to establish a robust framework for wetland classification and mapping in intensive agricultural landscapes using time series of Sentinel-2 imagery, with a focus on the Gwydir Wetland Complex situated in the northern Murray–Darling Basin—Australia’s largest river system. Using the Google Earth Engine (GEE) platform, we extracted two groups of predictors based on six vegetation indices time series calculated from multi-temporal Sentinel-2 surface reflectance (SR) imagery: the first is statistical features summarizing the time series and the second is phenological features based on harmonic analysis of time series data (HANTS). We developed and evaluated random forest (RF) models for each level of classification with combination of different groups of predictors. Our results show that RF models involving both HANTS and statistical features perform strongly with significantly high overall accuracy and class-weighted F1 scores (p < 0.05) when comparing with models with either statistical or HANTS variables. While the models have excellent performance (F-score greater than 0.9) in distinguishing wetlands from other landcovers (croplands, terrestrial uplands, and open waters), the inter-class discriminating power among wetlands is class-specific: wetlands that are frequently inundated (including river red gum forests and wetlands dominated by common reed, water couch, and marsh club-rush) are generally better identified than the ones that are flooded less frequently, such as sedgelands and woodlands dominated by black box and coolabah. This study demonstrates that HANTS features extracted from time series Sentinel data can significantly improve the accuracy of wetland mapping in highly fragmentated agricultural landscapes. Thus, this framework enables wetland classification and mapping to be updated on a regular basis to better understand the dynamic nature of these complex ecosystems and improve long-term wetland monitoring. Full article

The act of land transfer in rural areas is an important decision-making mechanism for farmers, to enhance resource allocation efficiency and promote capital mobility, and this act is of strategic importance in promoting the level of agricultural scale and mechanization, land system change, and, thus, the sustainable development of livelihoods and production in China. This study aims to explore farmers’ decision-making mechanisms in the process of land transfer in rural areas, by constructing a theoretical framework. Structural equation modeling was used, based on data from a survey of rural families in the Liaoning Province area of Northeastern China. The main findings are as follows: (1) The seven types of exogenous latent variables, including environmental vulnerability, policy, and five main livelihood assets (natural capital, physical capital, financial capital, human capital, and social capital), are intermediary in farmers’ land transfer behavior, which then positively affect farmers’ livelihood outcomes. (2) Among the exogenous latent variables affecting farmers’ land transfer, human assets have the most significant positive effect, followed by social assets and physical assets, family labor force share, frequency of work information exchange, and number of production tools, greatly affect the corresponding variable. (3) Natural assets play the most important role and have a negative effect on farmers’ land transfer decision; contracted area of land per family is the greatest impacted measurable variable of this. The results of the study suggest that the government should strengthen skills training for farmers, improve the land transfer policy system, and provide appropriate subsidies in a regionally targeted manner. Thus, it can promote the transformation of Chinese-style agricultural modernization and achieve rural revitalization. Full article

Smallholder farming is an important livelihood strategy for rural households in developing countries. Climate change and variability threaten the sustenance of livelihoods and hinder efforts to eradicate poverty and food insecurity. Although perception studies on climate change and coping mechanisms have been conducted in KwaZulu-Natal Province, little has been done on livelihood analysis. This study uses the Sustainable Livelihood Framework for livelihoods analysis of smallholder farmers in the uMkhanyakude district of KwaZulu-Natal Province in South Africa. Survey data were collected from a sample of 400 smallholder farmers in two local municipalities of the district, using a stratified random sampling procedure. Focus group discussions were used to augment survey data. Descriptive statistics were generated to analyse quantitative data, while qualitative data were analysed through thematic analysis. This study found that climate change significantly eroded livelihood assets, posing a threat to the well-being of smallholder farmers. Persistent drought has led to poor crop and livestock productivity, compelling households to rely heavily on food purchases. These findings underscore the urgent need to safeguard the livelihoods of smallholder farmers in the face of climate change. This study recommends that policymakers should focus on policies that enhance the resilience of livelihood assets for farming communities to minimise climatic risk. Full article