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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.

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.

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.

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.

In this paper, we explore the resilience and vulnerability of livelihoods within two different social-ecological dryland contexts of Botswana over the last 30 years. We drew on primary field data sources, including oral histories, livelihood surveys, ecological surveys, as well as documented evidence of environmental, socioeconomic, and institutional dynamics to identify a broad range of activities that combine to create a range of different household livelihood outcomes. We used this information as a starting point to assess the ways in which livelihoods have changed over time, and evaluated whether they have become more resilient or more vulnerable, and considered the factors that have contributed to these outcomes. In the context of dynamic dryland social-ecological systems, we applied a livelihood trajectory approach to explore the shocks and stresses that affect livelihoods and to elucidate the characteristics of livelihood strategies that contribute to increased resilience or vulnerability. We used a vulnerability framework as a means of framing discussion about vulnerability and resilience and as a means of identifying broader insights. The research identified “accumulator”, “diversifier”, and “dependent” households and the ways in which they move between these categories. More resilient livelihood trajectories can be achieved if the important role of formal and informal institutions is recognized.

Herders’ living strategy is a function of the capitals at their disposal which also serve as a buffering mechanism when shocks arise. An insight into the connection between livelihood strategies and capitals owned by herders provides guidance to recognize their living situation. This study evaluated the different livelihood capitals of herders across the five ecological types (meadow, typical, desert, sandy, and desert steppe) in Inner Mongolia region of China, using the sustainable livelihood framework approach. An evaluation index was developed and used to investigate how the livelihood capitals of herders affects preferential selection of livelihood strategies using multinomial logit model. Results indicate that: (1) The stocks of human and social capitals were higher while those for natural, physical, and financial capitals were lower. (2) There were significant regional differences in the livelihood capital stock of herders’ families with zonal horizontal decrease from east to west. (3) Natural capitals affects the preferential selection of livelihood strategies by herders positively implying that possession of more natural capitals by herders leads to selection of livelihood strategies that are devoid of pastoral production; the preferred livelihood strategy of herders was significantly negatively affected by physical and financial capitals, an indication that, when herders possess more physical and financial capitals, they tend to choose livelihood strategies that involve pastoral production. The living strategy of herders was not affected by human and social capitals. (4) Production of rented pasture capital index affected the preferential selection of livelihood strategies by herders positively while cash income capital index had negative influence on how pastoralists select their livelihood strategies. In conclusion, the total livelihood capital of herders in Inner Mongolia is low, and there is perceived benefit in the differentiation of herders families into petty-herders and non-grazing families from the perception of natural resource management and sustainability. This requires income diversification programs such as capacity building and business education that will aid the smooth transition of households to these less resource exploiting livelihood strategies.

The livelihood strategies of farm households depend on the conditions of their assets, and farm households cope with risks and shocks through portfolios consisting of different types of assets. Thus, discussing the relationship between the livelihood assets and the livelihood strategies of farm households helps in understanding their livelihood conditions and in formulating reasonable poverty reduction policies. Taking Zunyi City, which is located in a western, mountainous area of China, as the study region and using the framework of sustainability analysis, this study first tries to establish the mechanism of the influence of farm household livelihood assets on livelihood strategies, then evaluates different farm household livelihood assets by establishing an evaluation index system for them, and finally conducts an empirical analysis on the influence of farm household livelihood assets on livelihood strategies using a multinomial logit model. The research results indicate the following: (1) natural assets and material assets have a significant negative influence on farm households’ choice of livelihood strategies, that is, the more natural assets and material assets that farm households own, the more likely they are to choose livelihood strategies involving engaging in agricultural production; (2) Manpower assets and financial assets have a significant positive influence on farm households’ choice of livelihood strategy, namely, the more manpower assets and financial assets that farm households own, the more likely they are to choose livelihood strategies involving engaging in non-agricultural production; (3) Social assets have no significant influence on farm households’ choice of livelihood strategy.

The haor region of Bangladesh is exposed to a variety of natural hazards such as flash floods, seasonal floods, droughts, riverbank erosion, embankment breach due to climate change, which impacts the haor people's lives and livelihoods. Haor households are attempting to diversify their livelihood activities to protect themselves from such extreme climate events. The study’s aim to evaluate the various livelihood strategies adopted by haor households, and multinomial logistic regression is employed to identify the factors influencing their decision to pursue more eco-friendly and sustainable livelihood strategies. A multi-stage stratified random sampling technique was used to collect primary data from 300 haor households in Kishoreganj, Netrokona, and Sunamganj districts, with 100 from each district. We provide inimitable insight into the analysis to understand how livelihood resources, livelihood strategies, and livelihood outcomes are closely tied in the framework for sustainable rural livelihoods. The study classified a household’s economic activities into five distinct categories, together with crop farming. Among the livelihood options, crop plus livestock rearing is the most productive livelihood strategy for haor households. The findings revealed that the household’s head age and education, dependency ratio, land holdings, household assets value, access to credit, annual income, membership of any organization, home to road, market, and haor distances, communication during the dry season, duration of waterlogged, and agro-ecology of the haor ecosystem all have a significant impact on the choice of higher returning livelihood diversification strategies. Policies should attempt to promote the significant determinants of livelihood strategies choice, as well as should ensure livelihood assets, a strong infrastructure, and minimize natural hazards, in order to transform the local context and enable poor households to build more profitable livelihood strategies.

The deterioration of grassland ecology is threatening the livelihood of herdsmen and increasing their rates of poverty. This study aims to explore the characteristics of herdsmen’s livelihood and the impact of livelihood capital and environmental perception on livelihood strategy selection. Based on 453 herdsmen households in the Province of Gansu and Qinghai, five types of livelihood capital were measured under the sustainable livelihoods framework. The influence of herdsmen’s livelihood capital on their decisions regarding their livelihood strategies was evaluated in multiple logistic functions. Meanwhile, hierarchical regression analysis and grouping regression methods were used to explore the moderating effects of two dimensions of environmental perception: ecological consciousness and sense of responsibility. The following results were obtained: First, all types of livelihood capital have a significant influence on the livelihood diversification of herdsmen; second, the direction and strength of these effects differ among types of livelihood capital. Moreover, environmental perception played a negative moderating role in the relationship between herdsmen’s livelihood capital and livelihood strategies. Therefore, it is expected to introduce policies ensuring the development of herdsmen’s livelihood capital and improve their environmental cognition, which can help realize the coordinated economic and ecological development of grassland.

As payment for ecosystem services (PES) programs proliferate globally, assessing their impact upon households' income and livelihood patterns is critical. The Sloping Land Conversion Program (SLCP) is an exceptional PES program, in terms of its ambitious biophysical and socioeconomic objectives, large geographic scale, numbers of people directly affected, and duration of operation. The SLCP has now operated in the poor mountainous areas in China for 10 y and offers a unique opportunity for policy evaluation. Using survey data on rural households' livelihoods in the southern mountain area in Zhouzhi County, Shaanxi Province, we carry out a statistical analysis of the effects of PES and other factors on rural household income. We analyze the extent of income inequality and compare the socio-demographic features and household income of households participating in the SLCP with those that did not. Our statistical analysis shows that participation in SLCP has significant positive impacts upon household income, especially for low- and medium-income households; however, participation also has some negative impacts on the low- and medium-income households. Overall, income inequality is less among households participating in the SLCP than among those that do not after 7 y of the PES program. Different income sources have different effects on Gini statistics; in particular, wage income has opposite effects on income inequality for the participating and nonparticipating households. We find, however, that the SLCP has not increased the transfer of labor toward nonfarming activities in the survey site, as the government expected.