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In rural Mozambique, as in other African countries, large-scale land acquisitions are on the rise. This process is usually portrayed by host governments and investors as comprising win-win deals that can simultaneously boost agricultural productivity and combat poverty. This article focuses on one such investment, a large-scale Chinese land acquisition in the lower Limpopo valley, where attempts to modernise agriculture have occurred since colonial times. Based on an analysis of primary quantitative and qualitative data, this study explores livelihoods in the targeted area and local experiences and views regarding land loss and its implications. Our findings reveal a top-down process enabled by disregard for sound legislation, whereby land dispossession was followed by 'take-it-or-leave-it' opportunities that were unsuited to the most land-dependent livelihoods, particularly those of single-headed households. As the modernisation of the region is once again attempted through the promotion of large-scale agriculture, important historical continuities prevail. This study adds critical evidence to the discussion on the local development potential of land deals in Mozambique and other areas marked by similar democratic deficits.

Nature-based tourism has potential to sustain biodiversity and economic development, yet the degree to which biodiversity drives tourism patterns, especially relative to infrastructure, is poorly understood. Here, we examine relationships between different types of biodiversity and different types of tourism in Costa Rica to address three questions. First, what is the contribution of species richness in explaining patterns of tourism in protected areas and country-wide in Costa Rica? Second, how similar are the patterns for birdwatching tourism compared to those of overall tourism? Third, where in the country is biodiversity contributing more than other factors to birdwatching tourism and to overall tourism? We integrated environmental data and species occurrence records to build species distribution models for 66 species of amphibians, reptiles, and mammals, and for 699 bird species. We used built infrastructure variables (hotel density and distance to roads), protected area size, distance to protected areas, and distance to water as covariates to evaluate the relative importance of biodiversity in predicting birdwatching tourism (via eBird checklists) and overall tourism (via Flickr photographs) within Costa Rica. We found that while the role of infrastructure is larger than any other variable, it alone is not sufficient to explain birdwatching and tourism patterns. Including biodiversity adds predictive power and alters spatial patterns of predicted tourism. Our results suggest that investments in infrastructure must be paired with successful biodiversity conservation for tourism to generate the economic revenue that countries like Costa Rica derive from it, now and into the future.

Watershed development initiatives have emerged as key tools for achieving sustainable rural development, especially in countries experiencing environmental degradation and resource constraints. Despite the increasing acknowledgment of the significance of watershed development interventions, there remains a dearth of comprehensive frameworks for evaluating their effects on the socioeconomic progress of communities, particularly concerning rural livelihoods and household food security outcomes. Hence, this study addresses this gap by developing a comprehensive impact analysis conceptual framework tailored to assess the impact of watershed development on socioeconomic aspects. This study designed the framework by incorporating existing theoretical perspectives (the sustainable livelihoods framework, political ecology, theory of change, and community-based natural resource management) and making essential adjustments. This novel conceptual framework offers a multifaceted approach to assess the socioeconomic impacts of watershed development projects, particularly on rural livelihoods and household food security. Employing a mixed methods approach, the framework sheds light on how interventions affect the livelihood assets and strategies of rural communities, ultimately influencing their food security and well-being. Furthermore, it examines how community involvement and national policy affect these efforts. By providing a holistic understanding of watershed development dynamics, this framework allows researchers and practitioners to assess impacts, identify trade-offs, and evaluate interventions. This informs policymakers about evidence-based interventions to promote sustainable socioeconomic development in rural communities.

Studies investigating migration as a response to climate variability have largely focused on rural locations to the exclusion of urban areas. This lack of urban focus is unfortunate given the sheer numbers of urban residents and continuing high levels of urbanization. To begin filling this empirical gap, this study investigates climate change impacts on US-bound migration from rural and urban Mexico, 1986-1999. We employ geostatistical interpolation methods to construct two climate change indices, capturing warm and wet spell duration, based on daily temperature and precipitation readings for 214 weather stations across Mexico. In combination with detailed migration histories obtained from the Mexican Migration Project, we model the influence of climate change on household-level migration from 68 rural and 49 urban municipalities. Results from multilevel event-history models reveal that a temperature warming and excessive precipitation significantly increased international migration during the study period. However, climate change impacts on international migration is only observed for rural areas. Interactions reveal a causal pathway in which temperature (but not precipitation) influences migration patterns through employment in the agricultural sector. As such, climate-related international migration may decline with continued urbanization and the resulting reductions in direct dependence of households on rural agriculture.

The purpose of this Special Focus section is to investigate the lasting impacts of the Covid-19 pandemic at the local level in Cambodia. As the pandemic was unfolding, social scientists of Southeast Asia produced a plethora of rapid responses as they sought to engage constructively with policy (Rakhmani & Sciortino 2023; Shin et al, 2022). Now, as the larger threat has receded and restrictions have been lifted, we are left with the task of understanding what the impacts of the pandemic have been - and to draw insights for the region post-pandemic (Shin et al, 2022). Our contribution relates to both the timing and scale of our inquiry. Most of the current literature on the pandemic is baded on data collected while it was still unfolding, with projections being extrapolated from that time. Our Special Focus section is based on data collected two to three years after the pandemic had receded and is therefore able to provide a more reliable account of its lasting impacts. At the same time, existing Covid-19 literature is largely pitched at the national level, often focusing on particular sectors or activities (Brickell et al., 2023; Kien et al., 2024). By zooming in to the local level, we are able to examine how these general trends have been experienced in particular contexts by members of rural society, and to look at the intersections between different sectors and activities.

The main determinants of agricultural employment are related to households’ access to private assets and the influence of inherited social–economic stratification and power relationships. However, despite the recommendations of rural studies which have shown the importance of multilevel approaches to rural poverty, very few studies have explored quantitatively the effects of common-pool resources and household livelihood capitals on agricultural employment. Understanding the influence of access to both common-pool resources and private assets on rural livelihoods can enrich our understanding of the drivers of rural poverty in agrarian societies, which is central to achieving sustainable development pathways. Based on a participatory assessment conducted in rural communities in India, this paper differentiates two levels of livelihood capitals (household capitals and community capitals) and quantifies them using national census data and remotely sensed satellite sensor data. We characterise the effects of these two levels of livelihood capitals on precarious agricultural employment by using multilevel logistic regression. Our study brings a new perspective on livelihood studies and rural economics by demonstrating that common-pool resources and private assets do not have the same effect on agricultural livelihoods. It identifies that a lack of access to human, financial and social capitals at the household level increases the levels of precarious agricultural employment, such as daily-wage agricultural labour. Households located in communities with greater access to collective natural capital are less likely to be agricultural labourers. The statistical models also show that proximity to rural centres and access to financial infrastructures increase the likelihood of being a landless agricultural labourer. These findings suggest that investment in rural infrastructure might increase livelihood vulnerability, if not accompanied by an improvement in the provisioning of complementary rural services, such as access to rural finance, and by the implementation of agricultural tenancy laws to protect smallholders’ productive assets.

Research on Land Use and Land Cover (LULC) dynamics, and an understanding of the drivers responsible for these changes, are very crucial for modelling future LULC changes and the formulation of sustainable and robust land‐management strategies and policy decisions. This study adopted a mixed method consisting of remote sensing and Geographic Information System (GIS)‐ based analysis, focus‐group discussions, key informant interviews, and semi‐structured interviews covering 586 households to assess LULC dynamics and associated LULC change drivers across the Dedza district, a central region of Malawi. GIS‐based analysis of remotely sensed data revealed that barren land and built‐up areas extensively increased at the expense of agricultural and forest land between 1991 and 2015. Analysis of the household‐survey results revealed that the perceptions of respondents tended to validate the observed patterns during the remotely sensed data‐analysis phase of the research, with 57.3% (n = 586) of the respondents reporting a decline in agricultural land use, and 87.4% (n = 586) observing a decline in forest areas in the district. Furthermore, firewood collection, charcoal production, population growth, and poverty were identified as the key drivers of these observed LULC changes in the study area. Undoubtedly, education has emerged as a significant factor influencing respondents’ perceptions of these drivers of LULC changes. However, unsustainable LULC changes observed in this study have negative implications on rural livelihoods and natural‐resource management. Owing to the critical role that LULC dynamics play to rural livelihoods and the ecosystem, this study recommends further research to establish the consequences of these changes. The present study and future research will support decision makers and planners in the design of tenable and coherent land‐management strategies.

Rising global demands for food and biofuels are driving forest clearance in the tropics. Oil-palm expansion contributes to biodiversity declines and carbon emissions in Southeast Asia. However, the magnitudes of these impacts remain largely unquantified until now. We produce a 250-m spatial resolution map of closed canopy oil-palm plantations in the lowlands of Peninsular Malaysia (2 million ha), Borneo (2.4 million ha), and Sumatra (3.9 million ha). We demonstrate that 6% (or [almost equal to]880,000 ha) of tropical peatlands in the region had been converted to oil-palm plantations by the early 2000s. Conversion of peatswamp forests to oil palm led to biodiversity declines of 1% in Borneo (equivalent to four species of forest-dwelling birds), 3.4% in Sumatra (16 species), and 12.1% in Peninsular Malaysia (46 species). This land-use change also contributed to the loss of [almost equal to]140 million Mg of aboveground biomass carbon, and annual emissions of [almost equal to]4.6 million Mg of belowground carbon from peat oxidation. Additionally, the loss of peatswamp forests implies the loss of carbon sequestration service through peat accumulation, which amounts to [almost equal to]660,000 Mg of carbon annually. By 2010, 2.3 million ha of peatswamp forests were clear-felled, and currently occur as degraded lands. Reforestation of these clearings could enhance biodiversity by up to [almost equal to]20%, whereas oil-palm establishment would exacerbate species losses by up to [almost equal to]12%. To safeguard the region's biodiversity and carbon stocks, conservation and reforestation efforts should target Central Kalimantan, Riau, and West Kalimantan, which retain three-quarters (3.9 million ha) of the remaining peatswamp forests in Southeast Asia.

The concepts of resilience and sustainability are becoming popular in disaster planning and management. However, there is an absence of mutual considerations of the two concepts from an integrated perspective to promote post-disaster livelihood, particularly in the relocated rural communities. To fill the research gap, this paper explores the factors and relationships of resilient rural livelihoods (RRL) and sustainable rural livelihoods (SRL) in resettlement communities after a major disaster. Specifically, we construct a theoretical model that integrates resources, strategies, and outcomes of RRL and SRL in the recovery phase. We use a dataset for household-level recovery after the Jiangsu Tornado (2016) in China to validate the theoretical model with a structural equation modeling (SEM) approach. Results show that government-driven, recovery-concentrated policies of “resilience” may not promote the long-term sustainability of rural household livelihoods because financial capital and institutional participation are negatively associated with the community’s self-reliance for future disaster recovery. The tangible assets are likely to make people more confident in disaster preparedness, while the intangible assets lack such an impact and even make the relocated households concerned about future disasters. For RRL outcomes, financial capital and socio-political capital can enhance the recovery, while human capital and livelihood strategies have negative effects. In addition, natural capital and financial capital positively affect household recovery, but the human capital remains a negative contributor. These findings clearly reveal the general patterns of rural livelihoods in relocated communities after a disaster and provide insights into potential measures to promote sustainable and resilient rural livelihoods.

Disasters can have substantial impacts on people’s livelihoods in developing countries. Further, if the need for livelihood interventions is ignored or delayed, the crisis may trigger unexpected harmful consequences in the affected households in the aftermath. Therefore, restoring livelihoods should remain a priority in the post-disaster recovery process. However, such recoveries in rural contexts and developing countries, like Nepal, are complex as the livelihood restoration process is affected by serious spatial, socio-economic, and political factors. We employed qualitative research methods in four highly affected districts in the 2015 Nepal Earthquake (7.8 Mw) to examine post-disaster livelihoods recovery. Our paper critically assesses the humanitarian response based on the narratives and lived experiences of affected households. The findings show that humanitarian assistance was crucial in addressing several unmet needs of disaster-affected rural households in resource-poor settings in Nepal. However, the interventions were generally fragmented, insufficient, neoliberal led (forcing market dependencies), and largely business-as-usual in their orientation. Previous studies in Nepal paid insufficient attention to the goods provided to affected households in the name of recovery. Therefore, our paper scrutinises selected humanitarian objects, such as power tillers, and unpacks their political economy and effectiveness in local contexts. Further, our findings show that some livelihood policies reinforced the gap between the haves and have-nots, thereby reproducing pre-disaster inequalities in the post-disaster field.