Search Results (103)

This study investigates the mechanisms by which green finance mitigates non-point source pollution. Based on provincial panel data from China spanning 2005 to 2023, this study conducts an empirical analysis that yields several key findings: (1) The development of green finance significantly reduces the intensity of agricultural non-point source pollution. (2) Green finance indirectly contributes to pollution reduction by incentivizing farmers to adopt environmentally sustainable production practices. (3) The pollution control effects of green finance are amplified in regions with advanced digital infrastructure. (4) The impact of green finance on agricultural pollution demonstrates a threshold effect associated with regional innovation capacity—only when innovation capability exceeds a certain threshold does the emission reduction effect of green finance become evident. Theoretically, this study broadens the research dimensions of green finance by integrating farmer behavioral factors and revealing boundary conditions related to technology and innovation. Policy implications include the need to tailor green financial products for agriculture, accelerate the development of rural digital infrastructure, and implement innovation-driven differentiated policies to enhance precision. Full article

Grain production is crucial for national security and stability. Studying the impact of digital literacy on green production by grain farmers is of great significance for ensuring food security and achieving green agricultural development. This article utilizes data from the 2020 China Rural Revitalization Survey (CRRS), selecting a sample of 1811 farming households engaged in grain cultivation. Employing methods such as the ordered Probit model and mediating effect model, it analyzes the impact of digital literacy on green grain production from the perspectives of transformation drivers and pathways. The results show, first, that digital literacy significantly promotes farmers’ green production behaviors, and the findings remain valid after multiple robustness tests. Second, a mechanism analysis reveals that digital literacy drives farmers’ green production by reconstructing their benefit cognition and green cognition and promoting the application of green mechanization technologies. Third, a heterogeneity analysis indicates that the larger the farmers’ operation scale and the stronger their economic capacity, the more significant the promoting effect of digital literacy on their green production. Accordingly, it is necessary to accelerate the improvement of farmers’ digital literacy, reduce green production costs, popularize green mechanization technologies, and promote the green transformation of grain production. Full article

Amid the global push for agricultural green transformation, sustainable agriculture requires not only technological innovation but also market mechanisms that effectively incentivize green practices. Agricultural e-commerce is increasingly viewed as a potential driver of green technology diffusion among farmers. However, the extent and mechanism of e-commerce’s influence on farmers’ green production remain underexplored. Using survey data from 346 rural households in Inner Mongolia, China, this study develops a conceptual framework of “e-commerce participation–green cognition–green adoption” and employs propensity score matching (PSM) combined with mediation analysis to evaluate the impact of e-commerce participation on green technology adoption. The empirical results yield four main findings: (1) E-commerce participation significantly promotes the adoption of green production technologies, with an estimated 29.52% increase in adoption. (2) Participation has a strong positive effect on water-saving irrigation and pest control technologies at the 5% significance level, a moderate effect on straw incorporation at the 10% level, and no statistically significant impact on plastic film recycling or organic fertilizer use. (3) Compared to third-party sales, the direct e-commerce model more effectively promotes green technology adoption, with an increase of 21.64% at the 5% significance level. (4) Green cognition serves as a mediator in the relationship between e-commerce and green adoption behavior. This study makes contributions by introducing e-commerce participation as a novel explanatory pathway for green technology adoption, going beyond traditional policy-driven and resource-based perspectives. It further highlights the role of cognitive mechanisms in shaping adoption behaviors. The study recommends that policymakers subsidize farmers’ participation in e-commerce, invest in green awareness programs, and support differentiated e-commerce models to enhance their positive impact on sustainable agricultural practices. Full article

The research and application of green fertilizers have long been constrained by financial and technical barriers. Farmers’ adoption of green fertilizers is also highly dependent on government policy support. As an intermediary organization bridging the government and farmers, the STB plays a crucial role in encouraging the use of green fertilizers. In order to explore the impact of the STB’s research and development investment, as well as government intervention on farmers’ green production behavior, this paper constructs a tripartite dynamic game model involving farmers, the STB, and the government. The study systematically analyzes the decision-making mechanisms of the different stakeholders and their evolutionary paths. The results show the following: (1) Under certain conditions, the system converges to two stable states: government withdrawal (1,1,0) and continued government participation (1,1,1). (2) Government intervention shows a phased decrease. As the green fertilizer production system matures, farmers and the STB gradually form a stable collaborative mechanism. At this stage, the government shifts from direct participation to a supervisory role, with its implementation coefficient increasing to between 0.75 and 1, indicating that government supervision becomes the primary mode of action. (3) The research and development efforts of the STB are influenced by both the intensity of government support and technological breakthroughs. During periods of high-intensity government support (with a research and development investment coefficient between 0.05 and 0.15), and when technological accumulation achieves a critical breakthrough, the growth rate of investment increases significantly (the coefficient jumps to 0.15–0.3). (4) Farmers’ demand for green fertilizers is stable and consistent, and the market-oriented collaboration between the STB and farmers tends to favor green production technology, which verifies the feasibility of the government’s withdrawal of functions in the later stage of the green agricultural transformation. This study provides a scientific basis for decision-making regarding the STB’s research and development of green fertilizers, while also laying a theoretical foundation for promoting the green transformation of farmers through green fertilizer innovation. Full article

Rural finance provides financial support for agricultural production. Agricultural credit, as the most important rural financial resource, is designed to regulate rural economic activity and guide the rational adjustment of the rural economy and industrial structure. However, the relationship between the availability of credit to farmers and their choice of cropping behavior in the agricultural production process remains unexplored in depth. To fill this gap, this study constructs an analytical framework for ‘Agricultural credit-production factor allocation-planting structure decision-making behaviour’. Using data from a large-scale rural survey in China, this paper empirically examines the impact of agricultural credit on the specialization and ‘grain-oriented’ of farm households’ planting structure using the OLS model, the mediated effects model, and the 2SLS model. In addition, this study explores the mechanism of the allocation of agricultural production factors in this process. This has enriched the theoretical and practical research on rural finance for agricultural development. Studies have shown that agricultural credit contributes significantly to the specialization and ‘grain-oriented’ of the planting structure. The findings of the study also show that agricultural credit promotes cropping restructuring among farmers through large-scale operations, technological advancement, and green production. In addition, there are differences in the impact of agricultural credit on the planting structure depending on the type of food-producing area, the scale of operation, the development of digital infrastructure, the education of the head, and the source of credit. These findings suggest that increasing rural financial support and promoting the restructuring of land improvement, agricultural machinery, and green production factors may be an effective path to optimizing the cropping structure and improving the efficiency of production factor utilization. Full article

To address the challenges linked to climate change, rapidly increasing urbanization, and food security necessity, this study explores the potential of smart, low-cost innovative cultivation systems for modules on facades as nature-based solutions (NBSs) to improve building energy efficiency, urban food production, and sustainability. Innovative cultivation systems were studied and implemented in the horizontal experimental setup, with a focus on sub-irrigation techniques with terracotta pots, ozonated water, and IoT use. The best eco-smart irrigation system was selected considering both plant growth and the water savings obtained (up to 57.14%) in comparison to the traditional method. With the implementation of this system, a vertical green module (VGM) was designed, allowing for efficient distribution and water savings. The positive effects in terms of temperature reduction and energy behavior were validated by comparing two office rooms: one without VGM and the other with VGM in a Mediterranean city. The drop in internal temperatures achieved was up to 3–4 °C during the hot days of the experimental campaign. The uptake of this low-cost and smart prototype can be useful to support the enhancement of energy-efficient, eco-sustainable, and self-sufficient buildings and urban spaces, contributing to creating more climate-resilient cities and promoting sustainable urban agriculture. Full article

The interaction between rural household livelihood strategies and land use behavior constitutes the core of the human–land relationship in a region, especially in protected area villages with high ecological sensitivity that require the integration of social–economic and ecological benefits. This study, grounded in the concept of sustainable livelihoods, utilizes survey data from 399 households in the Chang-Zhu-Tan Green Heart Ecological Protection Zone. By employing the entropy method to calculate indicator weights, a coupling coordination degree model is constructed to analyze the coupling degree, coordination degree, and spatial differentiation patterns between household livelihood strategies and land use behavior. The findings reveal that (1) there is a coupling relationship between household livelihood strategies and land use behavior in the protected area, characterized by moderate coupling coordination. (2) Agricultural sideline households exhibit the highest degree of coupling coordination. The sideline activities of these households not only enhance income but also exert positive impacts on the ecological environment while they are engaged in agricultural production. (3) There is a significant spatial differentiation in the coupling coordination degree of different types of households in the protected area: it increases with the distance from the urban center, with higher values in the central areas than in the peripheral regions. The results of this study provide a basis for understanding micro-level land use changes and guiding household land use behavior, as well as offering theoretical and practical references for improving sustainable livelihoods of households in the study area, promoting rural revitalization, and implementing ecological protection policies. Full article

As an ecologically fragile and agriculture-dominated region in China, the Tibetan area is in urgent need of green transformation. Based on the survey data of 59 farmers in 16 villages in Hezuo City, this paper empirically examines the influencing factors and decision-making logic of the green production behaviors of farmers in Hezuo City using the Double Hurdle model and the moderated model, and the results show the following: (1) Cognitive norms and environmental regulations are the key elements determining the green production intentions and behavioral responses of farmers, and the driving effect of cognitive norms on behavioral response shows a declining trend in comparison with behavioral intention. Compared with behavioral intention, the effect of cognitive norms on behavioral response showed a downward trend. (2) The consistency between group social cognition and green production cognition significantly influences the behavioral intentions and behavioral responses of farmers regarding green production in Hezuo City. This is conducive to promoting farmers’ intentions to engage in and their continuous response to green production. (3) The role of environmental regulation in enhancing green production intention and behavioral response is more consistent and significant. However, it cannot continuously promote a green production response by influencing green production intention again. The green development strategy can help to align farmers’ cognitive and behavioral responses to green production. It is recommended that the government use environmental regulation as the primary means of driving the current green transformation in Tibetan areas. Full article

The promotion of farmers’ green production behavior (GPB) to accelerate agricultural green development and food system transformation is a popular issue worldwide. Based on the representative literature from 2015 to October 2024, this study reviews the connotation and stage characteristics of farmers’ GPB. The current research focuses primarily on the primary industry, particularly agriculture, which is not in line with the global trend of agricultural and rural development; thus, it seems necessary to reiterate the connotation. The driving factors of farmers’ GPB are discussed at the individual, household, and external levels, and the relationships and effects of each group of factors in the literature are reviewed; future research should re-examine the formation mechanism from the perspective of industry integration and upgrading. This paper refers to the agricultural transformation practices of major economies worldwide and summarizes the policy implications in the literature concerning the promotion of farmers’ GPB. A multiagent incentive mechanism system is constructed from the perspectives of government-led, market-oriented, and social participation. Finally, based on the evolving trends in global agriculture and rural development, three potential research directions are proposed as follows: (i) broadening the research scope of farmers’ GPB from the perspective of industry integration; (ii) empowering farmers’ GPB through digital intelligence; and (iii) increasing farmers’ GPB and food security. This review is beneficial for better understanding farmers’ GPB and promoting it globally. Full article

Green production technology is a critical component of contemporary agricultural development, playing a pivotal role in the promotion of sustainable agricultural practices. Information literacy is the basic ability for farmers to engage in agricultural production, including information awareness, information knowledge, and information ability. In order to investigate the impact of information literacy on farmers’ green production technology adoption behavior, this paper constructs information literacy indicators using factor analysis, based on survey data from 1316 farming households in Shanxi and Hebei provinces, and empirically analyzed the impact of information literacy on farmers’ green production technology adoption behavior and the moderating effect of risk attitude using the Heckman model and moderating effect model, respectively. The empirical evidence indicates the following: (1) Information literacy can significantly contribute to farmers’ adoption decisions and adoption degree of green production technologies. (2) Information literacy has a significant effect on the adoption decisions of all five green production technologies. (3) The results of the heterogeneity analysis indicate that the coefficient of information literacy on the degree of adoption of green production technologies by farmers with different endowment characteristics varies significantly. The promotion effect is more pronounced for small-scale farmers and farmers with a high share of agricultural income. (4) The interaction term between risk attitude and information literacy has a significant effect on farmers’ green production technology adoption degree. Based on these findings, the paper recommends that relevant institutions focus on enhancing farmers’ information literacy, strengthening the agricultural production guarantee system, and developing differentiated strategies for promoting green production technologies. Full article

The green production practices of farmers are essential for sustainable agricultural development. However, studies have mostly overlooked the social factors affecting farmers’ decisions regarding green production behaviors (GPB). Furthermore, the pathways and mechanisms through which social networks modify these behaviors have not been fully validated. Therefore, by examining 1203 farmers from China’s main grain-producing regions, this study aims to empirically investigate both the direct and indirect impacts of social networks on farmers’ GPB, thereby furthering relevant research. First, family social networks in rural areas markedly enhanced farmer engagement in GPB. After assessing the endogeneity issues associated with farmers’ self-selection behaviors using propensity score matching, this effect was found to substantially persist. Analysis of the indirect impact revealed that social networks primarily facilitated farmers’ adoption of green production through channels such as information acquisition, interactive learning, and service support. Second, heterogeneity analyses based on generational differences and crop types demonstrated a distinct, promotional impact of social networks on both “middle-generation” and “older-generation” farmers. Moreover, a comparison between grain crop farmers and cash crop farmers determined the more substantial influence of social networks on encouraging grain crop farmer GPB. Overall, this study emphasizes that rural China’s social networks, especially clan-based ones, can successfully nurture agricultural sustainability by accelerating the propagation of green technologies while offering suitable environments for elderly farmers to “learn by observing” and “learn by doing”. Relevant departments should pay attention to and make full use of farmers’ social network relations in the process of promoting farmers’ adoption of green production behavior and further promoting the green development of agriculture. Full article

Cocoa shells (variety CCN51, exclusive from Ecuador) were subjected to different thermochemical processes (combustion, pyrolysis, and gasification) to evaluate their potential for energy production. Pyrolysis was conducted at 500, 600, and 700 °C, yielding solid (35.89–41.27%), liquid (31.13–34.73%), and gas (24.92–32.92%) fractions. The higher heating value (HHV) of the solid phase increased with temperature, reaching 24.97 MJ/kg at 700 °C. Gasification was performed under air flow at 500, 600, and 700 °C, producing synthesis gas with an HHV ranging from 0.89 to 3.36 MJ/m³. The H₂ and CO contents in the gas phase increased with temperature, reaching 9.98% and 11.77% at 700 °C, respectively. Combustion analysis, conducted via thermogravimetry coupled with mass spectrometry, revealed efficient volatile release and oxidation patterns. The high potassium content in the ashes (72.02% K₂O) may affect slagging behavior but also presents opportunities for agricultural applications. These findings highlight the potential of CCN51 cocoa shells as a sustainable biomass resource, contributing to Ecuador’s green transition and the local circular economy. Full article

The production of green agricultural products and carbon sink compensation play a crucial role in mitigating climate change. Farmers’ behaviors are influenced by both social norms and personal norms. This study aims to explore how these norms shape farmers’ carbon sink compensation behaviors and to provide a theoretical basis for formulating effective policies and incentive mechanisms. A mixed-methods approach was adopted in this study, involving in-depth interviews with 13 agricultural workers and a survey of 409 individuals from China, Japan, and South Korea who are or were engaged in agriculture-related work. The results indicate that the activation of personal norms is primarily driven by economic costs rather than mere moral responsibility. Subjective norms serve as a significant mediator between personal norms and behavior. Social norms indirectly influence behavior through policy guidance and community support. Based on these findings, specific strategies to strengthen personal norms, optimize social norms, and improve policy incentives were proposed to enhance farmers’ willingness to participate in carbon sink compensation and promote sustainable low-carbon agriculture. To effectively promote farmers’ participation in carbon sink compensation, it is necessary to foster a positive social atmosphere at the community level while addressing farmers’ personal needs by enhancing environmental awareness and engagement through policy guidance and incentives. This study employs grounded theory, combining open, axial, and selective coding to thoroughly analyze the interaction between social and personal norms and their positive impact on farmers’ behavior, specifically regarding green agricultural product carbon sink compensation. Concrete policy and community-level pathways are proposed, providing clear guidance for both theory and practice. Full article

Agricultural cooperatives are the main vehicle for farmers to engage in green agriculture. With the digital transformation in rural areas, it is crucial to explore how cooperative members can effectively access online information and integrate it into green production decision-making processes. Based on the survey data of 530 members of rice planting cooperatives in Heilongjiang Province in China, this paper selected eight green production behaviors commonly used by rice farmers as explained variables, and constructed an ordered probit model. Using the social capital theory, the impact and mechanism of internet use on cooperative members’ green production behavior were examined. The results showed the following: (1) Internet use facilitates the cooperative members’ green production behavior. This conclusion remains valid even after addressing the endogeneity test and robustness test. (2) The heterogeneity analysis revealed that the internet is particularly effective in enhancing the green production behaviors of farmers who are less educated, middle-aged, and those with strong connections to cooperatives. (3) A further mechanism test indicates that internet use not only significantly influences farmers’ trust in cooperatives but also aids them in comprehending the cooperative’s production specifications, thereby further advancing the improvement in green production behaviors. (4) Members’ satisfaction with cooperative sales can serve as a substitute for the internet in influencing their green production behavior. Full article

The application of digital technology offers new opportunities to promote the green transformation and upgrading of agriculture. Farmers’ digital literacy, as a critical link between digital technology and agricultural green development, significantly influences their production decisions. Whether digital literacy serves as an enabling factor driving farmers’ adoption of agricultural green production technologies warrants further exploration. This paper uses the entropy method to measure farmers’ digital literacy levels and employs a Probit model for empirical analysis of survey data from 643 farmers in Shandong and Shaanxi provinces, examining how farmers’ digital literacy influences their adoption of green production technologies. The baseline regression result indicates that digital literacy can significantly increase farmers’ adoption of green production technologies. A mechanism analysis reveals that enhanced farmers’ digital literacy promotes the adoption of green production technologies through three pathways: enhancing farmers’ risk perception, expanding farmers’ digital social capital, and strengthening the effectiveness of technology promotion. Heterogeneity analysis demonstrates that improved digital literacy significantly enhances the adoption of four technologies—water-saving irrigation, pest control, pollution-free pesticide, and straw return to fields—and exerts a stronger impact on large-scale and middle-generation farmers. Accordingly, this study suggests improving digital village infrastructure, enhancing farmers’ digital literacy comprehensively, and formulating differentiated extension policies. Full article