Driving mechanism for farmers' participation in improving farmland ecosystem: Evidence from China

Yin, Yanshu; Zhang, Yingnan; Li, Fuduo; Jiao, Jian; Lebailly, Philippe; Zhang, Yang; Yin, Changbin

doi:10.1016/j.jclepro.2022.134895

Cited by 20 publications

(5 citation statements)

References 110 publications

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“…This finding aligns with previous research conducted by Rezaei et al (2018), Li F. et al (2021), and Tama et al (2021, all of whom identified PBC as a predictive factor for farmers' engagement in agricultural practices. Furthermore, as farmers' PBC increases, they tend to experience greater motivation and confidence (Brown et al, 2000;Yin et al, 2022). In addition, Li Z. et al (2023) also noted that farmers with a higher sense of self-efficacy perceive themselves as capable and confident in adopting new technologies and practices in agricultural The simulation results of farmers' willingness after improving the constants.…”

Section: Discussionmentioning

confidence: 98%

“…While the TPB is widely applicable in understanding farmer behavior, scholars have made enhancements to the original model by incorporating additional variables. These additions aim to improve the stability, explanatory power, and predictive ability of the model regarding farmer behavior (Bagheri et al, 2019;Tama et al, 2021;Yin et al, 2022;Savari et al, 2023). Apart from the existing factors of the theory, the TPB can also include other significant variables that directly or indirectly influence decision-making willingness and behavior (Ajzen, 1991).…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

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Modeling farmers’ willingness to engage in traceability systems: toward sustainable agricultural transformation

Huang,

2023

Front. Sustain. Food Syst.

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IntroductionThe primary objective of this study is to examine the factors that affect farmers’ willingness to engage in traceability systems. Traceability systems are widely promoted as technologies that ensure the quality and safety of agricultural products. However, the participation rate of farmers in developing countries remains low.MethodsTo empirically address this issue, the study analyzed structured interview data from 408 fruit farmers in Henan Province, Central China, using structural equation modeling and system dynamics.ResultsThe results indicate that attitude, perceived behavioral control, subjective norms, moral norms, and safety awareness are crucial factors influencing farmers’ willingness to engage. It is particularly noteworthy that system dynamics simulations revealed the significant role of improving attitude and subjective norms in promoting farmers’ willingness. Moreover, subjective norms have a positive influence on moral norms. We also found that gender, education, orchard area, income and access to credit have a significant positive impact on farmers’ willingness to engage.DiscussionBy uncovering the internal decision-making mechanisms behind farmers’ engagement in traceability systems, this study extends the research scope of agricultural technology adoption. These findings can serve as a basis for formulating traceability system policies and interventions in China and other developing countries.

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Section: Discussionmentioning

confidence: 98%

Section: Research Model and Hypothesesmentioning

confidence: 99%

Modeling farmers’ willingness to engage in traceability systems: toward sustainable agricultural transformation

Huang,

2023

Front. Sustain. Food Syst.

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“…Positive PBC, SNs, and ATT can improve farmers' AEW (Asadollahpour et al, 2016). First, PBC was identified as the important factor affecting farmers' willingness and intention [17,91]. Thus, the stronger the farmer's confidence in their access to material resources and technologies related to agroecology, the stronger their AEW.…”

Section: Research Implicationsmentioning

confidence: 99%

Exploring the Factors Affecting Farmers’ Willingness to Cultivate Eco-Agriculture in the Qilian Mountain National Park Based on an Extended TPB Model

Zhang,

Wang

2024

Land

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Despite many governments having actively promoted the importance of developing ecological agriculture, the participation rate of farmers remains relatively low. Therefore, exploring the factors that influence farmers to participate in agroecological cultivation is important. Here, our aim was to identify the intention to participate in eco-agriculture through an extended theory of the planned behavior model. We collected 409 samples using a systematic probability proportional sampling method in Tianzhu County, located in the Gansu section of the Qilian Mountain National Park, China. The results validated that farmers’ attitudes, perceived behavioral control, and subjective norms positively influenced their intention to participate in agroecology. The extended model introduces ecological value variables; if perceived behavioral control influences willingness to participate through the mediating variable of attitude, ecological values moderate the mediating role of attitude. Agroecological development in national parks should be promoted by strengthening agroecological communication and increasing environmental awareness among farmers. Our study expands the theoretical model of planned behavior, which can help policymakers better understand the factors that influence farmers’ participation in agroecological farming. It can also serve as a reference for the ecological development of agriculture in other protected areas.

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“…As aforementioned, the integrated behavioural model (IBM) can better unveil information about individual behaviour. Previous studies have shown the inclusion of multiple factors to extend the TPB, such as endowment conditions (Van Dijk et al, 2015;Wang et al, 2020), conservation policies (Li et al, 2021;Wang et al, 2020), perceived factors (Ataei et al, 2021;Elahi et al, 2021) and institutional conditions (Yin et al, 2022). The choice of theoretical extension and indicators for a specific study largely turns on the properties of the TACT.…”

Section: Theory Of Planned Behaviour and The Integration Of Lasmentioning

confidence: 99%

Driving mechanism for farmers to adopt agroecology for biodiversity conservation: Inspiration from tea management in a China National Park

He,

Wang

2024

Journal of Applied Ecology

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Conflicts arising from human activities and biodiversity value affect the conservation efficacy of protected areas. Resolving these conflicts requires conservation‐compatible livelihoods, such as through agroecology. Here, we built a comprehensive social–psychological framework to explore and understand farmers' intentions to adopt agroecological approaches in tea management in Wuyishan National Park, China. We extended the theory of planned behaviour (TPB) by integrating household livelihood assets (LAs) as a material precondition for the social–psychological decision‐making process. We proposed geographical location (GL) and livelihood strategy (LS) as moderating factors for this agroecology intention. We collected 369 valid household samples through structured interviews. We then used partial least square‐structural equation (PLS‐SEM) modelling to explore the determinants that affect tea farmers' agroecological intentions. Livelihood assets were a material foundation influencing the intention to adopt agroecology and were also mediated by three psychological constructs to take effect. Perceived behavioural control explained the largest proportion of the variance for intention and exerted the most significant mediation effects. Subjective norm was another vital independent predictor and exerted a positive influence on both perceived behavioural control and attitude. The direct and mediating impacts of attitude on the intention were weaker but showed that farmers' ecological rationality outweighed value rationality. Livelihood strategies measured by operational scale and livelihood diversity were able to moderate farmers' psychology. Subjective norm had positively significant influence on perceived behavioural control and attitude, indicating that social support to farmers enhanced their feeling of control over adopting agroecology and that important referent groups as sources of information helped farmers' attitude formation. Perceived behavioural control positively and significantly influences farmers' attitudes as well. Synthesis and applications. Our findings provide evidence of the necessity to optimise rural farmers' livelihood assets to enhance their confidence and control over agroecology. Resolving the conservation‐development dilemma in protected areas through agroecology should aim at comprehensive support that respects bioculture and improves farmers' ability. We suggest knowledge co‐production of traditional wisdom and modern technologies, reducing management costs and risks, strengthening park‐people communication and diversifying incentives to farmers with different livelihood strategies.

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Driving mechanism for farmers' participation in improving farmland ecosystem: Evidence from China

Cited by 20 publications

References 110 publications

Modeling farmers’ willingness to engage in traceability systems: toward sustainable agricultural transformation

Modeling farmers’ willingness to engage in traceability systems: toward sustainable agricultural transformation

Exploring the Factors Affecting Farmers’ Willingness to Cultivate Eco-Agriculture in the Qilian Mountain National Park Based on an Extended TPB Model

Driving mechanism for farmers to adopt agroecology for biodiversity conservation: Inspiration from tea management in a China National Park

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