Search Results (233)

Enhancing farmers’ digital literacy is both an inevitable requirement for adapting to the digital age and an important measure for promoting the sustainable development of livestock and poultry manure resource utilization. This study surveyed and obtained data from 1047 farm households in Ningxia and Gansu, two provinces in China that have long implemented livestock manure resource utilization policies, from December 2023 to January 2024, and employed the binary probit model to analyze how digital literacy influences farmers’ willingness to adopt two livestock manure resource utilization modes, as well as to analyze the moderating role of three policy regulations. This paper also explores the heterogeneous results in different village forms and income groups. The results are as follows: (1) Digital literacy significantly and positively impacts farmers’ willingness to adopt both the “household collection” mode and the “livestock community” mode. For every one-unit increase in a farmer’s digital literacy, the probability of farmers’ willingness to adopt the “household collection” mode rises by 22 percentage points, and the probability of farmers’ willingness to adopt the “livestock community” mode rises by 19.8 percentage points. After endogeneity tests and robustness checks, the conclusion still holds. (2) Mechanism analysis results indicate that guiding policy and incentive policy have a positive moderation effect on the link between digital literacy and the willingness to adopt the “household collection” mode. Meanwhile, incentive policy also positively moderates the relationship between digital literacy and the willingness to adopt the “livestock community” mode. (3) Heterogeneity analysis results show that the positive effect of digital literacy on farmers’ willingness to adopt two livestock manure resource utilization modes is stronger in “tight-knit society” rural areas and in low-income households. (4) In further discussion, we find that digital literacy removes the information barriers for farmers, facilitating the conversion of willingness into behavior. The value of this study is as follows: this paper provides new insights for the promotion of livestock and poultry manure resource utilization policies in countries and regions similar to the development process of northwest China. Therefore, enhancing farmers’ digital literacy in a targeted way, strengthening the promotion of grassroots policies on livestock manure resource utilization, formulating diversified ecological compensation schemes, and establishing limited supervision and penalty rules can boost farmers’ willingness to adopt manure resource utilization models. Full article

The development of a forestry carbon sink project is an important way to achieve carbon neutrality and carbon reduction, and the collective forest carbon sink project is an important part of China’s forestry carbon sink project. As the main management entity of collective forests, whether farmers are willing to produce forestry carbon sinks is directly related to the implementation effect of the project. In this paper, a partial equilibrium model of farmers’ forestry production behavior was established based on production function and utility function, and the path to enhance farmers’ willingness to produce forestry carbon sink through forestry carbon sink projects was analyzed in combination with forest ecological management theory. In terms of empirical analysis, the PSM-DID econometric model was established based on the survey data of LY in Zhejiang Province, China, and the following conclusions were drawn: (1) With the receipt of revenues from forestry carbon sequestration projects and partial cost-sharing by the government, farmers’ participation in forestry carbon sink projects can save investment in forest land management. (2) The saved forestry production costs and forestry carbon sink project subsidies can make up for the loss of farmers’ timber income, so that the net income of forestry will not be significantly reduced. (3) The forestry production factors saved by farmers can be transferred to non-agricultural sectors and increase non-agricultural net income, so that the net income of rural households participating in forestry carbon sink projects will increase. The forestry carbon sink project can improve the utility level of farmers and increase the willingness of farmers to produce forestry carbon sinks by delivering income to farmers and saving forestry production factors. This study demonstrates that a well-designed forestry carbon sink compensation mechanism, combined with an optimized allocation of production factors, can effectively enhance farmers’ willingness to participate. This insight is also applicable to countries or regions that rely on small-scale forestry operations. Full article

The increasingly severe ecological and environmental problems in rural areas pose a serious threat to agricultural sustainability and human well-being. Protecting the ecological environment of cultivated land is fundamental to ensuring food security and achieving sustainable development goals. The effective integration of digital technology into farmers’ production and daily life is a key driver for transforming farming practices and advancing the ecological protection of cultivated land. This study draws on data from the 2020 China Rural Revitalization Survey (CRRS) to systematically examine the impact of farmers’ digital participation on the ecological protection of cultivated land. The main findings are as follows: (1) Digital participation significantly promotes ecological conservation of cultivated land, with each unit increase associated with a 7.8% reduction in fertilizer use intensity; (2) the results are robust across various empirical strategies, including instrumental variable estimation, the ERM approach, residual analysis, and alternative indicator specifications; (3) mechanism analysis indicates that digital participation reduces fertilizer use through three main channels: expansion of social networks (accounting for 7.10%), enhancement of subjective cognition (29.66%), and adoption of agricultural technologies (10.18%); and (4) heterogeneity analysis shows that the protective effects on cultivated land are more pronounced among households with off-farm employment experience, in villages where leaders have higher educational attainment, and in regions with more advanced digital environments. Based on these findings, the following policy recommendations are proposed: enhancing digital infrastructure in rural areas, strengthening the training of agricultural practitioners, and developing localized digital environments tailored to local conditions. Full article

Eliminating all forms of poverty is a core component of the United Nations’ Sustainable Development Goals. At the household level, poverty and income inequality significantly threaten farmers’ sustainable development and food security. Based on a sample of 1234 kiwi farmers from the Shaanxi and Sichuan provinces in China, this paper empirically examines the impact of participation in agricultural industry organizations (AIOs) on household income and income inequality, as well as the underlying mechanisms. The results indicate the following: (1) Participation in AIOs increased farmers’ average household income by approximately 19,570 yuan while simultaneously reducing the income inequality index by an average of 4.1%. (2) Participation increases household income and mitigates income inequality through three mechanisms: promoting agricultural production, enhancing sales premiums, and improving human capital. (3) After addressing endogeneity concerns, farmers participating in leading agribusiness enterprises experienced an additional average income increase of 21,700 yuan compared to those participating in agricultural cooperatives. Therefore, it is recommended to optimize the farmer–enterprise linkage mechanisms within agricultural industry organizations, enhance technical training programs, and strengthen production–marketing integration and market connection systems, aiming to achieve both increased farmer income and improved income distribution. Full article

Global biodiversity losses continue despite intensive conservation efforts. Many mammal species are understudied due to their specialized ecological niches. One such species is the Philippine colugo (Cynocephalus volans), a nocturnal endemic species in the Philippines. In this study, we utilized Local Ecological Knowledge (LEK) to obtain baseline information on species knowledge, attitudes, population status, and threats. Between June and September 2023, we interviewed 471 residents across all villages in Anda, Bohol. The majority of local people recognized the species and had witnessed it in Anda, occasionally near households. Residents have limited knowledge of colugo diet and distribution, which they get primarily through word-of-mouth and personal experience. The species is perceived as neutral, but the willingness to conserve it is high. Although the Philippine colugo population seems to be present in several villages in Anda, one-fourth of the respondents believe it is declining. We identified hunting for consumption as the main threat to the colugo population in Anda, which, together with other threats, may corroborate this result. We recommend actively involving male farmers in colugo population monitoring and behavioral observations, as well as investigating the drivers and importance of colugo meat consumption among residents to design a proper conservation strategy. Full article

Tea farmers in Wuyishan National Park face the dual challenges of promoting sustainable tea production while adhering to strict ecological protection policies. This study investigates the key factors influencing tea farmers’ pro-environmental behavior and the transmission mechanisms that encourage the adoption of sustainable development. Based on the theory of planned behavior, the theory of externalities, and place attachment theory, 346 valid questionnaires were collected through household interviews across 12 villages within Wuyishan National Park and its surrounding areas. The results indicate that environmental responsibility and concern for community well-being are major motivators of pro-environmental behavior. Market orientation, production intensification, and adoption of clean technologies significantly enhance environmental outcomes at the farm level. While ecological compensation policies help offset the costs of conservation, their impact is constrained by inconsistencies in standard-setting and implementation. The establishment of the national park has enhanced pro-environmental behavior among farmers within the park and influenced those in peripheral areas by strengthening place attachment and social norms. Tea farmers in the core areas of the national park exhibit higher levels of pro-environmental behavior compared to those on the periphery. This study offers several policy recommendations and contributes new insights into understanding the mechanisms behind tea farmers’ pro-environmental behavior within national park contexts, providing valuable reference for pro-environmental practices in the global protected area system. Full article

Agricultural producers play a crucial role in combating agricultural non-point source pollution, so improving their production behaviors and practices will be key to alleviating such pollution. This study employs the Theory of Planned Behavior and focuses on Huaxian County, a major grain-producing county in Anyang City, Henan Province. The study focuses on randomly selected sample farming households in townships within Hua County’s agricultural intensification zone. Through structural equation modeling, it has analyzed the impact of farmers’ individual characteristics, behavioral attitudes, subjective norms, and perceived behavioral control on their willingness to engage in pollution management, as well as the influence of such willingness on actual management behaviors. Research indicates that behavioral attitudes, subjective norms, and perceived behavioral control significantly and positively influence governance intention, and governance intention significantly and positively influences governance behavior. Behavioral attitude is the key latent variable (behavioral attitude > perceived behavioral control > subjective norm). That is, the economic benefits derived from agricultural non-point source pollution governance constitute the most critical factor influencing farmers’ willingness to participate in pollution governance. Furthermore, farmers’ willingness to participate in pollution control bridges the gap between their attitudinal inclination and actual behavioral implementation. Accordingly, this study can provide a theoretical basis and reference for the governance of non-point source pollution in county-level regions of Henan Province and similar major grain-producing areas and offer theoretical support for the sustainable development of agriculture. Full article

China has effectively safeguarded biodiversity by building the world’s largest system of nature reserves, but the livelihoods of farmers near the reserves are often not guaranteed. This paper aimed to deeply explore the intrinsic relationship between the geographical location of households and their livelihood outcomes within seven nature reserves across three provinces in China. Innovatively, this study subdivided households’ livelihood outcomes into four patterns: high well-being with high dependency (H-H), high well-being with low dependency (H-L), low well-being with high dependency (L-H), and low well-being with low dependency (L-L), in order to comprehensively analyze the diversity of households’ livelihoods and further reveal the spatial logic and mechanisms underlying regional development imbalances. Methodologically, a combination of quantitative analysis and qualitative research was adopted. Representative villages in the protected area and outside the protected area were selected for semi-structured interviews with the village heads. Meanwhile, farmers were randomly selected in the villages for structured interviews and 1106 questionnaires were collected. Through variance analysis, the study first identified the unique advantages of H-H-pattern households in natural resource utilization. Subsequently, a multinomial logistic model was used to deeply analyze how geographical location (including whether a household was located within a protected area and the distance to markets) affected the transition mechanisms of the other three livelihood outcomes towards the H-H pattern. Based on this, marginal effect analysis was employed to further delineate the specific influence pathways of geographical factor changes on households’ livelihood outcome selection probabilities. The results showed that the geographical location of households’ residences had a significant impact on their livelihood outcomes. For households in the L-L and H-L patterns, proximity to markets could significantly increase the probability of their livelihood transitioning to the H-H pattern. Meanwhile, residing within protected areas significantly promoted the transition of L-L and H-L households to the H-H pattern but showed a certain inhibitory effect on L-H households. Marginal effects analysis further shows that both living in protected areas and reducing distance to markets increase the tendency of households to be highly dependent on natural resources for livelihood outcomes. Compensation policies should be designed according to local conditions, and subsidies for the development of ecotourism and other service industries should be increased for rural households in protected areas to ensure sustainable development rather than transfer payments. Full article

Common prosperity is the fundamental driving force of rural revitalization, as well as the foundation for achieving sustainable economic development. The e-commerce to the countryside policy has energized the rural economy, helping to improve household economic resilience and reduce income stratification, thereby promoting the inclusive and sustainable development of the digital economy. Drawing on panel data collected from rural fixed observation points in Henan Province during 2009–2022, this study employs a staggered difference-in-differences (DID) approach to evaluate the impact of China’s e-commerce to the countryside policy on farmers’ income and income inequality. The empirical results reveal that the rural e-commerce policy significantly increases farmers’ income while mitigating income inequality. The underlying mechanisms function through three synergistic pathways: industrial structural upgrading, manifested through tri-sector integration driven by rural enterprise development; factor allocation restructuring, evidenced by productivity gains from optimized labor–capital reallocation; and enhanced market inclusion through digital technology empowerment that lowers participation barriers. Heterogeneity analysis indicates that the e-commerce to the countryside policy exhibits pro-poor characteristics, with its income-enhancing and equalizing effects being particularly pronounced in agricultural areas, traditional villages, county-level civilized villages, underdeveloped regions, registered poverty-stricken villages, and households with low human, physical, and financial capital endowments. These findings confirm the inclusive development efficacy of rural e-commerce among vulnerable populations. Consequently, the study provides a replicable policy implementation framework for achieving common prosperity objectives. Full article

Local food plants contribute to dietary diversity, and hence, to food and nutrition security in rural households of low- and middle-income countries. However, their consumption and use are declining, in favour of simplified diets or industrial foods. This paper presents data from the Sowing Diversity = Harvesting Security programme, which aimed at improving nutrition through better use of local, underused agrobiodiversity in six low- or mid-income countries. Through a Farmer Field School approach, rural communities’ perceptions on nutrition, local food plant use, and food scarcity coping strategies were gathered. Overall, the results showed that farmers recognise the relationship which exists between increasingly impoverished diets and the (declining) use of local food plants. They attributed such a decline to multiple, intertwined factors, being both socioeconomic and cultural, as well as agronomic or environmental. Despite a declining trend, communities still heavily rely on local food plants during food scarcity periods: indeed, turning to local and wild plants emerged as one of the most frequent coping strategies in all countries, and this trend was stronger as the length and severity of the scarcity period increased. In this paper, we discuss the opportunity to further leverage the role of local food plants through integrated (“field to plate”) actions as a way to conserve valuable agricultural biodiversity while enhancing local food and nutrition security. Full article

Climate variability and extremes adversely affect the agricultural production system, food security, livestock sector, and water resources. With the cumulative effects of climate variability, there is a need to anticipate and develop appropriate adaptation strategies to cope with changing climatic conditions. It is necessary to study the adaptation strategies that are to be followed for climate change to examine the ability of vulnerable communities and people, frequently affected by drought and other climate-related risks, to adapt to climate change impacts. Hence, the present study examined the determinants of various climate change adaptation strategies followed by farmers as a measure to face climate variability, which will be ultimately beneficial and enlightening to policymakers to gain knowledge about the measures to be taken to mitigate the impact of climate change. The study was undertaken using data collected from 105 farm households with an organized pre-tested interview schedule in the central agro-climatic zone of Afghanistan. The multivariate probit econometric model was used to analyze the factors responsible for major adaptation strategies to mitigate the impact of climate change. The key findings of the model indicated that the probability of educated farmers migrating to the non-agricultural sector for employment has increased by 1.3 percent, and those who have more land area have adopted a reduction in irrigation by 5.2 percent as an adaptive mechanism. The study also found that having access to technical guidance from extension officials increased the likelihood of farmers changing their cropping pattern by 18.6 percent and of diversifying their farms by 19.2 percent. On the other hand, expert guidance reduced the likelihood of drilling new bore wells by 20.5 percentage points and decreased the probability of selling livestock by 10.8 percentage points. The results of the study provide policy insights to improve the ability of farmers to modify their practices through improvement in extension services, irrigation infrastructure facilities, watershed development, and climate-resilient agricultural systems. Full article

Digital financial literacy, as an upgrade of financial literacy in the digital age, has a non-negligible impact on the income of farm households and the sustainable development of the rural economy. This study aims to investigate the impact of digital financial literacy on rural household income in China and its mechanism of action. Using the sample of rural households in the 2019 China Household Finance Survey (CHFS), which ultimately collected information on 34,643 households and 107,008 household members, the principal component analysis method was used to analyze scores to measure the digital financial literacy level of rural households at three levels—financial knowledge, financial skill application, and digital skills and digital product use—and to perform mechanism analysis and heterogeneity analysis with inclusive finance data from the Digital Finance Research Center of Peking University. The research ideas in this paper are as follows: firstly, to clarify the metric index system of digital financial literacy and calculate to obtain the digital financial literacy score of farmers; secondly, to analyze the direct relationship between digital financial literacy and farmers’ household income; thirdly, to explore the intermediary role of social capital in the process of digital financial literacy affecting farmers’ income; and lastly, to examine the moderating effect of the level of regional financial development. The findings of this study show that digital financial literacy has a significant income-increasing effect on rural residents; mechanism analysis reveals that digital financial literacy increases farmers’ income by increasing social capital, and the level of regional financial development mediates the impact of digital financial literacy on rural household income. From a macro perspective, this article explains the necessity of improving rural households’ digital financial literacy to deepen rural financial services as well as to promote sustainable rural economic development. From a micro perspective, improving rural households’ digital financial literacy and digital financial infrastructure will help optimize their household income levels and income structure. This study provides empirical evidence and decision-making references for increasing farmers’ income, broadening income channels, and improving farmers’ digital human capital to achieve “rural revitalization” in the new era. Full article

As a cornerstone of agricultural modernization, agricultural mechanization plays a pivotal role in driving rural revitalization and establishing agricultural competitiveness. Drawing upon the theoretical framework of happiness economics, this study investigates the impact, mechanisms, and heterogeneous effects of agricultural machinery adoption on farmers’ subjective well-being, utilizing comprehensive household survey data collected from Jiangxi Province in July 2023. The empirical results demonstrate a significant positive correlation between agricultural machinery adoption and farmers’ subjective well-being, a finding that remains robust after addressing endogeneity concerns through instrumental variable approaches. The mechanism analysis reveals that the enhancement of well-being is primarily mediated through facilitated transitions to non-agricultural employment. The purpose of the mechanism analysis is to explain why agricultural mechanization adoption improves farmers’ subjective well-being. This analysis finds that agricultural mechanization adoption improves farmers’ subjective well-being by helping them transition to non-agricultural employment more smoothly. Furthermore, heterogeneity analysis indicates that the beneficial effects are more substantial among male farmers, individuals with higher educational attainment, and younger demographic groups. These findings suggest that policy interventions should focus on enhancing innovation in agricultural machinery technology, optimizing subsidy programs for agricultural equipment, improving rural education systems, and facilitating the structural transformation of rural labor markets. Full article

Tea and coffee as traditional cash crops have been produced in Rwanda for more than six and ten decades respectively. However, new cash crops are being produced and exported, although their role in increased income and poverty reduction over traditional ones is not well understood; hence the analysis of drivers of both traditional and non-mandatory cash crop production among smallholder farmers is imperative. The study applied an experimental research design, and two strata composed of non-mandatory cash crops and traditional crop growers were used to obtain a simple random sample of 400 smallholder farmers. The study analysed the effect of cash crop production on multidimensional poverty among farmers in the Rulindo District using a quantile treatment effect. Although the poorest category of adopters places a high opportunity cost in allocating more time to off-farm activities, the poorest households that are female-headed are likely to increase multidimensional poverty once they adopt non-mandatory cash crops. Similarly, farm size does not help the poorest households to reduce poverty. Poorest households could be considered while introducing new non-mandatory cash crops because they do not help them reduce non-pecuniary poverty. Tea, coffee and food crops should be helpful among the poorest smallholder farmers. Full article

The development of new e-commerce platforms has become a crucial driver of economic growth in developing countries, driven by the global wave of digitalization and informatization. However, research on e-commerce development in underdeveloped rural areas of China remains scarce, with even less focus on farmers’ e-commerce behaviors. Based on rural China’s unique characteristics, this study conducts a field survey of 346 rural households in Inner Mongolia. Using the Triple-Hurdle and mediation effect models through the lens of social capital, this study examines how social capital and digital literacy influence farmers’ short-term decisions and long-term investments in e-commerce participation across three dimensions: “willingness”, “choice”, and “degree of participation”. The aim is to identify how to leverage social capital as well as digital social literacy to enhance farmers’ e-commerce participation and promote the sustainable development of rural e-commerce. The results show the following: (1) Among the surveyed farmers, 198 households expressed a willingness to engage in e-commerce, 118 households participated, and only 1 household reached a participation level above 50%. This underscores the insufficient e-commerce engagement and ongoing challenges in rural Inner Mongolia. (2) Social capital, as a critical factor, positively affects farmers’ willingness to participate, choice to participate, and degree of participation in e-commerce at the 1% significance level, with regression coefficients of 1.386, 1.202, and 0.119, respectively. Its impact is strongest in the early stages of fostering willingness, followed by its effect on participation choice. However, its influence on the degree of participation diminishes due to the involvement of other complex factors. (3) Social capital enhances farmers’ digital social literacy at the 1% significance level, and digital social literacy plays a mediating role in the process by which social capital influences farmers’ e-commerce behavior. (4) Heterogeneity analysis shows that during actual participation, the impact of social capital on e-commerce behaviors is more pronounced among farmers with smaller household sizes and higher income levels. Based on these findings, this study recommends building social capital across different farmer groups, establishing online information-sharing platforms, and offering tailored technical and digital literacy training for diverse farmer demographics. Full article