Search Results (1,470)

The land transfer system is widely regarded as a key institutional arrangement for advancing agricultural modernization and rural transformation. Drawing on the Sustainable Livelihoods Framework (SLF) and from the perspective of farmer differentiation, this study investigates the effects of land transfer on rural household livelihood resilience using China Family Panel Studies (CFPS) data from 2012 to 2020. The results indicate the following: (1) Land transfer significantly improves rural household livelihood resilience overall, but this effect is mainly driven by land transfer-out. (2) Land transfer exhibits a clear threshold effect on livelihood resilience. Land transfer-out has a negative impact at low levels of off-farm employment but turns positive after the threshold is crossed, with increasing effects at higher levels of non-farm engagement. Land transfer-in has a significant positive effect on livelihood resilience only above a certain asset. (3) Farmer differentiation is a critical mechanism. Heterogeneity analysis reveals that differences in livelihood strategies and initial geographical conditions affect households’ reliance on land and agricultural productivity, thereby altering the impact of land transfer on livelihood resilience. These findings demonstrate that policies should adopt differentiated interventions rather than a one-size-fits-all approach in order to better align land transfer with the livelihood strategies of rural households. Full article

Rural industrial integration is widely recognized as a pivotal strategy for rural revitalization and sustainable development. However, despite its potential to foster economic growth, its actual impact on the livelihood resilience of individual farm households remains a complex issue that requires empirical validation. Drawing upon the Sustainable Livelihood Analysis (SLA) framework and micro-level data from the China Land Economic Survey (CLES) (2020–2022), this study employs propensity score matching (PSM) and the conditional mixed process (CMP) method to systematically examine the impact of rural industrial integration on household livelihood resilience, its transmission mechanisms, and its heterogeneous effects. The empirical results demonstrate that rural industrial integration significantly enhances farmers’ livelihood resilience, with an estimated net impact of 17.1%. Specifically, the positive influence on learning capacity is found to be more pronounced than that on buffering and self-organizing capacities. Mechanism analysis suggests that livelihood resilience is bolstered through the dual pathways of “external push” and “endogenous pull.” Furthermore, heterogeneity analysis reveals that models involving vertical industrial chain extension and technology diffusion models yield more substantial impacts among various integration forms. Notably, compared to leading enterprises, participation in cooperatives is found to exert a more significant influence on farmers’ resilience. Consequently, to promote sustainable livelihoods, policy interventions should prioritize the integrated development of rural industries by balancing external resource mobilization with the activation of internal drivers, while remaining vigilant against potential development imbalances arising from different organizational structures. Full article

Land trusteeship is an innovative agricultural management model that connects smallholder farmers with modern agriculture. It promotes large-scale agricultural operations, but still faces the impacts of conventional natural disasters. Although agricultural disaster insurance serves as a critical mechanism for farmers to mitigate these natural risks, its risk-mitigation potential remains underutilized due to the persistent challenge of low insurance participation rates. This study develops a decision-making model for farmers’ purchase of agricultural disaster insurance under land trusteeship, drawing on protection motivation theory, market failure theory, and quasi-public goods theory. Using structural equation modeling, we empirically analyze survey data from 319 land-trusteed farmers to uncover the mechanisms and pathways influencing their insurance purchase decisions. The results indicate that: (1) Vulnerability and severity are positively associated with protection motivation through perceived response efficacy and self-efficacy, and protection motivation is directly associated with purchase decisions; (2) Government support has both direct and indirect effects on purchase behavior; and (3) Individual and household characteristics are significantly associated with purchase decisions, with pure farmers, Type I part-time farmers, and farmers with larger landholdings tending to purchase agricultural disaster insurance more often. Full article

This study investigates the impact of organic agriculture on farmers’ conservation behaviors, focusing on a sample of 816 households in the Chinese Crested Ibis habitats of Yang County, Shaanxi Province, China. Employing partial least squares structural equation modeling (PLS-SEM), we analyzed the ecological feedback mechanisms bridging agricultural practices and species protection outcomes. The results identify two primary pathways through which organic agriculture fosters conservation: (1) Enhanced perceived benefits directly drive conservation behaviors, with significant path coefficients for ecological benefits (0.105, p < 0.05) and overall benefits (0.290, p < 0.001). (2) Government regulations fortify ecological cognition and conservation efforts (0.123, p < 0.001). Notably, while ecological cognition alone exhibited no direct behavioral impact, ecological emotions emerged as a critical mediator (0.153, p < 0.001). These mechanisms align with the remarkable recovery of the Crested Ibis population—from near extinction to over 7000 individuals—since the reserve’s establishment in 1981. Ultimately, this study highlights organic agriculture’s capacity to generate a positive ecological feedback loop, wherein economic viability and emotional connections to conservation mutually reinforce sustainable behaviors. The findings underscore that personal emotional investment in environmental stewardship is a stronger behavioral catalyst than cognitive understanding alone. This research offers robust empirical evidence to inform policy designs that harmonize agricultural livelihoods with biodiversity goals through targeted organic agriculture incentives and emotionally engaging ecological education programs. Full article

As agricultural marketization deepens, market risks have become a key factor affecting rural household livelihoods, while the trend toward differentiation among rural households has further exacerbated heterogeneity in resource allocation strategies and risk-coping capabilities across different groups. Based on field survey data from 763 rural households in the border areas of Yunnan Province, this study employs a combination of the Target MOTAD model and OLS regression to analyze the optimal production mix, resource utilization efficiency, and determinants of agricultural income for different types of farming households. Empirical results indicate that capital shortages are the primary factor constraining the full utilization of agricultural resources and farmers’ income growth; non-agricultural households, through proactive risk management, demonstrate significantly stronger risk resilience than agricultural households; and differences in the income structures of these two types of households drive them to adopt differentiated risk response strategies. Based on these findings, this study proposes the following optimization pathways: First, enhance rural households’ ability to accumulate capital to overcome the bottlenecks of resource idleness and income growth; second, promote moderate-scale agricultural operations to improve resource utilization efficiency; third, implement differentiated risk response strategies based on the heterogeneous characteristics of farming households. This research provides theoretical references and practical foundations for optimizing resource allocation among rural households in Yunnan’s border regions and enhancing agricultural risk-response capabilities. Full article

Ecologically fragile regions face the dual challenge of environmental conservation and improving rural livelihoods. Forest-dependent households are especially exposed to ecological restoration constraints, market fluctuations, and limited institutional access. This study develops a micro-level diagnostic framework that combines the Sustainable Livelihood Framework with resilience theory by adding a risk-resilience dimension to the conventional five-capital structure. Using survey data from 444 forest-farmer households in Songshan District, Inner Mongolia, we calculate livelihood resilience with the entropy-weight method, classify household profiles with K-means clustering, and diagnose constraints with an obstacle-degree model. The mean resilience score is 0.6267, indicating a relatively strong but uneven resilience level. Livelihood risk resilience (0.7476) and financial capital resilience (0.6797) are the strongest dimensions, whereas human capital resilience (0.3521) and physical capital resilience (0.4099) remain weak. The main obstacles are relationships with village cadres (29.66%), household savings (16.25%), livestock and poultry assets (14.70%), village road conditions (13.23%), relationships with relatives and friends (10.99%), and corporate/cooperative assistance effects (6.88%). The findings support targeted interventions in linking social capital, savings capacity, infrastructure, and enterprise-farmer cooperation. Full article

While agricultural modernization improves productivity, it may worsen rural inequality. Without systematic guidance and institutional rules, it harms inclusive and sustainable rural development. To examine the income distribution effects of two distinct modernization pathways, this study uses an innovative dual-mode framework integrating resource endowment, mechanism, and distribution to compare Land Transfer and Non-farm Employment. Based on a survey of 963 farm households in modern agricultural parks of Sichuan Province, we apply regression, endogeneity correction, mechanism and heterogeneity analysis. The study found that Land Transfer exhibits a significant positive correlation with income growth through economies of scale and labor release effects, yet its benefits primarily flow to local elite groups with superior resource endowments, demonstrating an “elite capture” tendency; Non-farm Employment is closely linked to income growth by raising wage levels, enhancing skill levels, and improving employment stability. Its benefits are more likely to reach ordinary, low-income, and less-educated farmers, reflecting the characteristic of “inclusive growth.” The framework reveals divergent equity outcomes of efficiency-oriented reforms, providing new insights for building fair and sustainable agricultural systems. It also provides micro-level policy references for SDG 10 (reduced inequalities) and SDG 8 (decent work and economic growth). Full article

Against the backdrop of increasingly severe agricultural labor aging (ALA), the aging process not only threatens food security but also poses challenges to green and sustainable agricultural development. Existing studies have paid insufficient attention to how ALA simultaneously affects grain production efficiency (GPE) and grain eco-efficiency (GEE), and there is a particular lack of systematic investigation into the moderating roles of different crop types and social networks. To address this gap, this study utilizes survey data from 1056 farm households across five major grain-producing provinces in China and employs Tobit regression models to empirically examine the dual effects of ALA on GPE and GEE, while also revealing the moderating mechanisms of formal and informal dual-layer social networks. The main findings are as follows: (1) ALA generally inhibits both GPE and GEE across different grain crops, with a more prevalent negative impact on GEE. (2) The impact of ALA on the two types of efficiency exhibits crop-specific nonlinear characteristics: a positive U-shaped relationship for maize, an inverted U-shaped relationship for rice, and no significant nonlinear relationship for wheat. (3) Social networks play significant linear and nonlinear moderating roles in mitigating the negative effects of ALA, though their effects vary depending on network type, crop system, and efficiency dimension. Based on these findings, it is recommended to implement differentiated intervention strategies tailored to crop characteristics and aging stages, build a multi-tiered social network support system, and strengthen the research, extension, and service support for green technologies targeting middle-aged and older farmers, thereby synergistically enhancing grain production capacity and ecological sustainability. Full article

In Cambodia, farmers construct artificial household bat roosts to collect and sell guano as fertilizer. We investigated farming practices and attendant spillover risks using (1) surveys on guano production; (2) an estimation of bat population size and species present using carcasses, visual identification, and audio recordings; (3) surveys of guano-producing and neighboring households on water, sanitation, and hygiene practices; and (4) the testing of guano and household food, water, and surfaces for coronaviruses using RT-qPCR. Bat roosts are constructed using dried palm leaves with coconut tree and/or steel/concrete supports. Roosting areas ranged from 42 to 327 m², bat abundance varied from 0 to 11,187, guano production was between 5 and 120 kg/week, guano yields were from 0.15 to 0.4 kg/m²/week, and farmers earned USD ~100–200/household/month. Higher guano production in the peak (normally wet) season was associated with greater bat abundance (p = 0.016). The lesser Asiatic yellow house bat (Scotophilus kuhlii) was the only bat species identified. Roosts were <20 m from guano-producing households. Neighbors and households’ hygiene risks included not having handwashing stations and not covering food in storage/while drying. Coronaviruses (Alphacoronaviruses or Infectious Bronchitis Virus) were detected in 14.6%, 17.3%, 2.9%, 1.4%, and 0.0% of guano, urine, household surface, food, and water samples, respectively. While guano farming offers economic benefits, spillover risks exist. Safe guano collection and storage, handwashing, and food covering in guano-producing communities are necessary to mitigate spillover risks. Full article

Farmland management rights (FMR) mortgage lending has been advanced as a central instrument of rural credit reform in China, yet the program has consistently failed to sustain itself in the absence of direct government facilitation. Drawing on five national and provincial pilot counties in Henan Province, this study investigates the structural factors underlying this sustainability failure. We employ a sequential mixed-methods design: grounded theory analysis of in-depth interviews, policy documents, and media reports from five focal sites to inductively construct a constraint framework, followed by structural equation modeling (SEM) validation using 1055 survey responses. Our grounded theory analysis identifies three internal constraint categories—property rights insecurity, a thin secondary land market, and subject-level agricultural risk—and one external environmental constraint, which together produce a state of mutual non-recognition: neither financial institutions nor farming households regard FMR as legitimate collateral. Notably, the effect of collateral acceptance on farmer mortgage willingness is statistically insignificant, revealing that demand-side barriers are more deeply entrenched than supply-side institutional improvements alone can resolve. These findings challenge the premise that legal formalization of land rights is sufficient to generate market-driven credit activity, and call attention to the equally important role of institutional ecosystem development—encompassing land markets, appraisal capacity, supervisory infrastructure, and rural credit culture. The insights carry direct relevance for developing economies exploring land-backed agricultural credit as a rural finance strategy. Full article

Rainfed agriculture is the most common type of agriculture in South Africa among smallholder farmers, accounting for the majority of the arable land. In a country with so much potential, only about 8% of the arable land is under irrigation. In response, the South African post-apartheid government has invested in the establishment of irrigation schemes in rural provinces such as the Eastern Cape to promote the sustainability of smallholder farming systems. Despite these efforts, the participation of farmers in these schemes remains low. This study investigated socioeconomic and environmental factors that affect farming households’ level of participation in irrigation schemes and intensity. Cross sectional data was collected from 209 households using a multi-stage sampling procedure. Descriptive statistics was used to analyse the socio-economic and environmental factors. A double hurdle model was used to analyse both participation in irrigation and the intensity of participation. The study results reveal that agriculture is largely practised by elderly farmers with an average age of 54 years and largely female-dominated (58%). On average, farmers have 7.5 years of schooling and 12 years of farming experience. Econometric findings demonstrate that participation is significantly influenced by market access, whereas participation intensity is driven by market access, market information and the level of education. The study recommends strengthening gender-targeted agricultural support systems, improved water access through expanded and well-maintained irrigation infrastructure and improving market access. In addition, enhanced extension training support and youth-focused agricultural programmes are required to build productive capacity and ensure the long-term sustainability of irrigation schemes. Full article

Improving cultivated land use efficiency is widely regarded as a core issue in ensuring national food security. As one of the key policy instruments supporting agricultural development, agricultural subsidies are considered to play an important role in promoting cultivated land use efficiency. Using micro-survey data from 449 farm households in a typical black soil region of Heilongjiang Province, this study employs the stochastic frontier analysis (SFA) model, the fractional logit model, and the mediation effect model to explore the potential impact of agricultural subsidies on black soil cultivated land use efficiency, as well as the potential mediating pathway at farm scale. The results suggest the following conclusions: (1) Different types of agricultural subsidies appear to have heterogeneous effects on black soil cultivated land use efficiency. Specifically, producer subsidies and total agricultural subsidies appear to exhibit nonlinear relationships with black soil cultivated land use efficiency; however, within the sample range, the overall effects tend to be negative, whereas cultivated land fertility protection subsidies are also associated with lower black soil cultivated land use efficiency. (2) Farm scale appears to serve as a potential mediating pathway linking producer subsidies and total agricultural subsidies to cultivated land use efficiency. (3) Under different conditions of land fragmentation and farm scale, the mediating pathway at farm scale appears to vary. A mediating pathway is observed among highly fragmented landholdings and small-scale farmers, whereas it is not evident among low fragmentation landholdings and large-scale farmers. Based on these findings, this study suggests that the study area may consider optimizing the structure of agricultural subsidies to promote moderate-scale farming and to improve the coordination mechanism between agricultural technical training and regulatory supervision in order to enhance black soil cultivated land use efficiency. Full article

Investigating the influence of women’s family status on farmers’ adoption of digital and intelligent production transformation holds significant value in bridging the gender gap in research on modern agricultural production transformation and in facilitating the digital and intelligent transformation of the agricultural sector. Drawing on survey data from Henan Province collected through a household survey conducted in July 2024 by the research team, which employed a combination of stratified and random sampling, and focusing on farmers’ adoption of plant protection drone technology, this paper employs the Triple-Hurdle model to examine the impact of women’s family status on farmers’ digital and intelligent production transformation decisions and the underlying mechanisms. The baseline regression results show that the improvement of women’s family status facilitates farmers’ digital and intelligent production transformation decisions. Specifically, it enhances farmers’ willingness to adopt digital and intelligent production transformation, promotes their adoption behavior of plant protection drone technology, and increases the degree of adoption of such technology. The mechanism analysis reveals that the improvement of women’s family status promotes farmers’ digital and intelligent production transformation decisions by increasing their satisfaction with the institutional environment. The heterogeneity analysis of household characteristics indicates that women’s family status has a greater facilitating effect on the willingness of farmers with lower female labor force participation and those with heavier child or elderly dependency burdens to undergo digital and intelligent production transformation. The heterogeneity analysis of village environmental characteristics shows that women’s family status has a greater facilitating effect on the willingness and behavior of farmers in villages with a larger number of technical personnel to undergo digital and intelligent production transformation. Additionally, it has a greater facilitating effect on the willingness of farmers in villages with a stronger culture of gender equality to undergo such transformation. Using plant protection drone adoption as an example, this paper provides preliminary evidence of the positive impact of women’s family status on the digital and intelligent transformation of agriculture. However, due to the inherent limitations of cross-sectional data, our exploration of the dynamic process of transformation remains inadequate. Therefore, future research is warranted to employ longitudinal panel data to further validate the findings of this study. Full article

Conservation agriculture (CA) is widely promoted as a climate-smart approach to improve productivity and resilience, especially among small-scale farmers who face socioeconomic and climate-related risks that threaten their livelihoods. However, evidence linking CA adoption to household food-security outcomes in South Africa remains limited. This study examines patterns and determinants of CA adoption and assesses its implications for household food security among small-scale farmers in three municipalities of Mpumalanga Province. A quantitative cross-sectional survey was conducted among 391 farmers selected through stratified random sampling. Data were collected using a structured questionnaire and analyzed using descriptive statistics, chi-square tests, Kruskal–Wallis tests, and binary logistic regression. Results show that CA adoption was widespread but largely partial, with most farmers adopting one or two principles rather than the full CA package. Access to CA-related resources and information, household size, livelihood strategy, farm income, and farm size significantly influenced adoption. Higher adoption intensity was consistently associated with improved food-security outcomes, including increased production, lower food-insecurity severity, greater crop diversification, higher likelihood of year-round production, and increased market participation. The study concludes that conservation agriculture can contribute positively to multiple dimensions of household food security when adopted as an integrated system, but partial adoption yields limited benefits. Targeted extension support, improved access to resources, and context-specific interventions are required to enhance sustained and holistic CA adoption among small-scale farmers. Full article

The cost of living is rising daily, particularly in rural areas. This is due to a variety of factors, including unemployment and a lack of knowledge about available useful resources. The study meticulously documented the diverse uses of cow dung among community members of the Maungani village of the Limpopo Province, South Africa. The qualitative approach was employed to inventory the uses of cow dung in the Maungani community. The most prevalent use was as a fertilizer for vegetables such as spinach and cabbage, which are commonly cultivated in household backyards. Other significant uses included honey harvesting, paving yards, sprinkling over vegetables to deter herbivores, as a mosquito repellent, in medicinal and cosmetic applications, as a water purifier, and as a fuel source for fire. Furthermore, some respondents emphasized the importance of cow dung in biogas production, which is vital for many communities globally. The study recommended the continued use of cow dung as a fertilizer to mitigate the financial burden of costly inorganic fertilizers on peasant farmers. Further recommendations suggest that the continuous utilization of cow dung in various ways can help rural community members achieve the Sustainable Development Goals (SDGs) 1, 2, and 3. Full article