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Research on the association between rural households’ livelihood capitals and livelihood strategies has long been of interest in geography, management, economics, ecology and other disciplines. However, the existing micro-empirical studies are mostly small-scale surveys of rural households; there are much fewer large-scale investigations at the national level. Meanwhile, few empirical studies have analyzed the sensitivity of rural households’ livelihood strategies to various types of livelihood capitals in different types of villages, from the perspective of village type. This study uses survey data from 8031 rural households in 226 villages from 27 provinces (cities) of China; the villages were divided into three types: plain villages, hilly villages and mountainous villages. The livelihood capitals and livelihood strategies of rural households in different types of villages were examined, and ordinal logistic regression models were construed to explore the sensitivity of rural households’ livelihood strategies to various types of livelihood capitals in different types of villages. The results revealed that: (1) the sample of rural households had similar livelihood asset structures and livelihood strategy selections across the different types of villages. Among them, human capital was the most important livelihood asset for rural households, while rural households had the lowest dependence on natural capital; off-farm work was the main livelihood strategy for rural households, followed by on-farm work, while the proportion of households engaged in part-time work was the smallest. (2) Rural households’ livelihood strategies had different sensitivities to various types of livelihood capitals, and there were also differences in the sensitivities among different types of villages. For the total sample, as well as the hill and mountain village sub-samples, human and financial capitals had significant positive impacts on livelihood strategy, while nature and social capitals had significant negative impacts on livelihood strategy; physical capital had no significant impact on livelihood strategy. For the plain village sub-sample, human and physical capitals had significant positive impacts on livelihood strategy, while nature capital had a significant negative impact on livelihood strategy; financial and social capitals had no significant impacts on livelihood strategy. This study enhances our understanding of the characteristics of rural households’ livelihood capital structures and livelihood strategy selections as well as the sensitivity of rural households’ livelihood strategies to various types of livelihood capitals among different types of villages in China. These findings provide reference for the formulation of policies related to the improvement of rural households’ livelihoods in different types of villages.

The Sustainable Livelihoods Approach (SLA) is often proposed to holistically capture vulnerability in assessments of livelihoods in aid and development programs. The full capacity of the approach has however only rarely been used in these assessments, lacking a clear account of processes of change and flexibility of assets, as well as the ability to quantify all capital assets of a livelihood system. The descriptions of livelihoods so far are in fact non-holistic. This paper attempts to use SLA in its full capacity through a quantification of the different capitals covered; natural, physical, economic, social and human. Further, the relationships between capitals are explored in a Chinese rural context of changing climate and land-use, and examples are given on how investments in one capital in reality can end up being accounted for in other capitals. The results indicate that through an analytical and process-oriented SLA, an effective tool for assessment of vulnerability can be developed. Such a tool would assist development organizations and policy-makers to target poverty traps and escape routes in the face of rapid and multiple changes.

This article explores the impact of farmers' livelihood assets and adaptation approaches on livelihoods. We proposed a new paradigm for the sustainable livelihoods of smallholders based on the grounded theory, to exploit seven household assets and used mixed methodological approaches of growers' livelihood assets and climatic adaptation strategies based on farmers' livelihood concerns in Sindh province of Pakistan and to better understand smallholder farmers' sustainable livelihoods and applied a partial least square path modeling. Considering central critical paths, psychological assets (PsyA) entail mediational factors into the sustainable livelihoods index. The findings show that the essential support of the livelihood of farmers' social, cultural, economic, and human assets positively impacts sustainable livelihoods, though physical and natural assets depict a nonsignificant impact on SLI. However, human and financial assets show comparatively substantial effects on smallholders' adaptation strategies; consequently, physical, social, and natural assets reveal significant impacts on farmers’ livelihoods. The study further indicates that PsyA can, directly and indirectly, boost the human and physical assets and exploit the farmers’ sustainable livelihoods index successfully. Lastly, this research proposed policy suggestions for poverty reduction and sustainable livelihoods of small-scale growers.

A region's sustainability must be enhanced to achieve sustainable development goals. Therefore, the sustainability assessment in terms of social, economic, and environmental aspects substantially impacts achieving the livelihood security of any region. This study assesses the sustainable livelihood security index (SLSI) for the Eastern Indian state (West Bengal) by identifying 20 parameters and situating them within sustainable development's ecological security, economic efficiency, and social equity domains. The present study identified each selected indicator's relationship with the United Nations SDGs and adopted the notion of the Human Development Index of the UN Development Programme to construct an exclusive district-level SLS index. Three dimensions of sustainability, viz. ecological security, economic efficiency, and social equity, were adopted to measure the final SLSI. The study finds that the majority of the districts were performing substandard (SLSI value < 0.60) in terms of sustainable livelihood security (SLS), and a larger inter-district variation exists concerning economic and social domains. The SLS index may influence the design and execution of targeted interventions and policies aimed at boosting livelihoods and developing resilience by assessing the strengths and weaknesses of people's livelihoods. Graphic abstract

The persistent conflict between strict conservation and community welfare highlights the growing need to address sustainable livelihoods in forest protection programs. The Natural Forest Protection Program (NFPP) is a comprehensive forest protection program spearheaded by the Chinese government. It is designed to facilitate the conservation and restoration of forest ecosystems through a range of interventions, including logging ban, management, tending, and afforestation efforts. Drawing upon longitudinal micro-level household survey data spanning five consecutive years from 2017 to 2021, this research quantifies the sustainable livelihood levels of frontline participants in the NFPP by examining two dimensions: livelihood capital stock and livelihood transformation capacity. Additionally, it investigates the internal differentiation phenomenon within this cohort. The findings suggest that forest worker households engaged in tasks related to forest management, tending, and afforestation are the frontline participants in the NFPP, in contrast to management, technical, and service personnel. Moreover, these forest worker households exhibit a pattern characterized by a higher livelihood capital stock but a lower livelihood transformation capacity compared to non-forest worker households. Furthermore, within forest worker households, there is a significant group differentiation phenomenon, resulting in inter-group differentials in the sustainable livelihood levels based on geographical and seniority stratification criteria. The developers of the global forest protection program should prioritize addressing the sustainable livelihood issues of frontline participants in the program, especially the real problem of mismatches between livelihood capital stock and livelihood transformation capacity. This can be achieved through designing income incentives, stimulating consumption, and other means to enhance the relatively disadvantaged position of frontline participants while balancing the coordination and fairness of the protection program based on the aspects of both protection and development.

In an effort to mitigate ecological environments and improve human well-being, the Chinese government’s largest-ever relocation and settlement programme is underway. Measuring livelihood resilience and further assessing its impact hold the key to strengthening adaptive capacity and well-being in poverty resettlements. Using a household survey of contiguous poor areas in Southern Shaanxi, China, this research proposes a framework to examine livelihood resilience and its impact on livelihood strategies in the context of poverty alleviation resettlement. To provide more comprehensive empirical evidence, we drew on three dimensions of the previously proposed livelihood resilience framework: buffer capacity, self-organizing capacity, and learning capacity. The results show that capital endowments, social cooperation networks, transportation convenience, and skills acquired from education and rural–urban migration can significantly affect the construction of livelihood resilience. The resilience of households that were relocated because of ecological restoration is the highest, followed by households relocated because of disasters; households relocated because of poverty reduction attempts have the lowest resilience. As for indicators of livelihood resilience, physical capital assets and previous work experience play a major role in household livelihood strategies for pursuing non-farming activities, while household size, stable income, social capital, and information sharing result in diversified livelihood strategies. These findings provide policy implications for enhancing livelihood resilience capacities and improving the scope of available livelihood strategies to emerge from the poverty trap and to adapt to the new environment.

Sand is a scarce resource, extracted from rivers and coasts at rates that exceed its natural renewal. Yet, little is understood about the political economy of sand extraction, the livelihood vulnerabilities produced, or why sand grabbing is occurring at unprecedented rates in particular locations. Drawing together literature on global production network approaches in economic geography and debates on sustainable livelihoods in development geography-two literatures rarely in conversation with one another-we reveal the links between new, globalized, cross-border articulations of poverty and prosperity and the sand trade. We situate our sand case in Southeast Asia across three sites, namely, in Singapore, the world's top sand importer; Cambodia, a top-ten global exporter of sand; and an emerging exporter, Myanmar. We examine how sand mining affects, directly and indirectly, a range of livelihoods, specifically fisheries in Cambodia, riverbank agriculture in Myanmar, and migrant labor in Singapore. Drawing on our empirical work, we argue that linking these two literatures with empirical data on sand provides an approach that is broad in its connections and simultaneously grounded in specific practices, places, and people. This enables us to better account for often overlooked aspects in the production, erosion, and transfer of value. Key Words: global production networks, livelihoods, precarity, sand mining, Southeast Asia.

Livelihood diversification is an essential strategy for managing economic and environmental shocks and reducing rural poverty in developing countries. This article presents a comprehensive two-part literature review on livelihood capital and livelihood diversification strategies. Firstly, it identifies the role of livelihood capital in determining livelihood diversification strategies, and secondly, it assesses the role of livelihood diversification strategies in reducing rural poverty in developing countries. Evidence suggests that human, natural, and financial capitals are the primary determining assets of livelihood diversification strategies. However, the role of social and physical capital with livelihood diversification has not widely been studied. Education, farming experience, family size, land holding size, access to formal credit, access to market, and membership in village organizations were the major influencing factors in the adoption process of livelihood diversification strategies. The contribution of livelihood diversification in poverty reduction (SDG-1) was realized through improved food security and nutrition, increased income level, sustainability of crop production, and mitigating climatic vulnerabilities. This study suggests enhanced livelihood diversification through improved access to and availability of livelihood assets is vital in reducing rural poverty in developing countries.

Natural disasters are increasing in frequency in China. Enhancing residents' livelihood resilience and adjusting their livelihood strategies have gradually become effective means of dealing with disaster risk. Therefore, it is of great significance to explore the livelihood strategies and livelihood resilience of rural residents in earthquake-stricken areas to help them cope with disaster risks. However, few studies have explored the correlation between residents' livelihood resilience and livelihood strategies from the perspective of residents' livelihood resilience. Based on a survey of 327 households in four districts and counties of Sichuan Province, China that were affected by the Wenchuan and Lushan earthquakes, we construct a framework for analyzing livelihood resilience and livelihood strategy selection. We comprehensively analyze the characteristics of livelihood resilience and livelihood strategy and explore their correlation using an ordinal multi-classification logistic regression model. The results show that: (1) Among 327 sample households, 90.21% were non-farming, 3.67% were part-time households and 6.12% were farming households. Residents' livelihood resilience is mainly based on their disaster prevention and mitigation capacity. (2) As far as the correlation between livelihood resilience and livelihood strategies is concerned, the stronger the buffer capacity in livelihood resilience, the more rural residents tend to engage in non-farming activities to obtain income. When other conditions remain unchanged, the logarithmic probability of choosing an agricultural livelihood strategy decreases by 21.814 for each unit of buffer capacity. From the perspective of residents' livelihood resilience, this study deepens our understanding of the relationship between livelihood resilience and livelihood strategy in earthquake-stricken areas. It also provides useful information for the formulation of policies to improve residents' resilience in disaster-threatened areas.

Agriculture-based livelihoods, dominant in rural areas of developing countries, have been facing the challenges to cope up with climate change and extreme climatic events. Therefore, livelihood analysis along with vulnerability to climate change is an important aspect to address the climate change issues. Present research was contemplated to assess the livelihood status of dominant farm livelihood groups and their vulnerability in both coastal and non-coastal ecosystems of Odisha, an Indian state that suffers from climate-induced natural disasters. It also aimed to delineate livelihood assets determining climatic vulnerability of farm households. Sustainable livelihood framework was followed in analysing differential level of physical, social, human, financial and natural assets covering a random sample of 200 farm households representing three dominant farm livelihood groups, viz. farmers cultivating crops, rearing livestock and farmers occupied with both crop + livestock farming. The farmers under study were the beneficiaries of national innovations in climate-resilient agriculture programme launched by Indian council of agricultural research since 2011. Both crop and livestock farmers belonged to similar level of livelihood with no significant differences. Farmers engaged in crop + livestock farming had overall livelihood status at above average level and social assets contributing highest to it. However, farmers engaged in crop + livestock farming significantly differed from both crop and livestock farmers with livelihood status index values of 51.73 and 62.72 in coastal and non-coastal districts, respectively. The livelihood indicators delineated as determinants of vulnerability of farm households to climate change would help in climate policy advocacy regarding institutional innovations. Climate smart technological and institutional innovations, partnership between the stakeholders and diversified livelihood options provide farm households better resilience to climate change as reflected from lower vulnerability index values in coastal regions. This calls for policy advocacy to designing and deploying climate smart socio-technical innovations bundling in terms of both technological and institutional innovations through good partnership to provide farm households diversified livelihood options and better insulation against the vulnerability to climate change in a specific agro-ecosystem. Government support in terms of financial assistance, subsidies, insurance, extension advisories and adequate institutional infrastructure would enable farmers to adopting climate smart agriculture innovations, building sustainable livelihoods and improving resilience to climate change impacts.