Understanding Chinese farmers' participation behavior regarding vegetable traceability systems

Lian-ying, LI; Paudel, Krishna P.; Jin-yong, Guo

doi:10.1016/j.foodcont.2021.108325

Cited by 24 publications

(18 citation statements)

References 57 publications

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“…For instance, the adoption of smart farming technologies did not show a direct effect between PEOU and behavior intention (BI), while PU did ( Caffaro et al., 2020 ). Another study about farmers’ participation in vegetable traceability systems, conducted by Li, Paudel, and Guo (2021) , has shown that there is no a significant relationship between PEOU and Intention, the finding also revealed that there was no significant effect between PEOU and PU. Furthermore, PEOU that was reinterpreted into perceived cost in a study of adopting alley cropping system in German showed that there is no significant effect of perceived cost on behavioral intention ( Otter and Beer, 2021 ).…”

Section: Review Of Literaturementioning

confidence: 96%

“…PEOU – refers to the unified theory of acceptance and use of technology (UTAUT) – is known as effort expectancy. While perceived usefulness in previous study was also defined as perceived value and benefit ( L. Li et al., 2021 ). In term of GIs’ coffee schemes, the perceived benefit of GI for farmers is to obtain knowledge that can explain their willingness or intention to adopt GIPs’ practice and procedures, and the main purpose of geographical indication is also to seize financial benefits associated with GIs’ uniquely standards (place and process) ( Neilson et al., 2018 ).…”

Section: Review Of Literaturementioning

confidence: 99%

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Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Laksono

Irham

Mulyo

et al. 2022

Heliyon

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Section: Review Of Literaturementioning

confidence: 96%

Section: Review Of Literaturementioning

confidence: 99%

Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Laksono

Irham

Mulyo

et al. 2022

Heliyon

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“…Estudios recientes presentaron en sus resultados la integración de tecnologías analógicas tradicionales y obtuvieron nuevas y mejores opciones de gobernanza basadas en la información (Ehlers et al, 2021). En el campo de las ciencias, el desarrollo de modelos de ecuaciones estructurales y descomposición de series, han sido adaptados en procesos de seguimiento agrícola (Li et al, 2021), así como la articulación de métodos estadísticos en procesos de monitoreo de cultivo para determinar umbrales de alerta temprana de producción, consumo y precios de productos (Xu et al, 2020).…”

Section: Digitalización Y Seguridad De La Informaciónunclassified

Trazabilidad en el sector agrícola: una revisión para el periodo 2017 – 2022

Zúñiga

2023

Agron. Mesoam.

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Introducción. La trazabilidad se considera en los sistemas empresariales como una herramienta de seguimiento y control enfocada en la medición y recolección de datos para la asignación eficiente de recursos. El sector agrícola no es ajeno a esta práctica porque al igual que otros sistemas industriales, integra necesidades de control a nivel de cultivo, abastecimiento de insumos, transformación, transporte y comercialización de productos. Objetivo. Identificar objetos y alcances de seguimiento, unidades de análisis y adopción de tendencias de trazabilidad en la cadena de suministro agrícola, para referenciar el desarrollo de estudios y publicaciones recientes que integran esta función de control en este sector. Desarrollo. La metodología aplicada se desarrolló a través de la búsqueda, selección y análisis de artículos en repositorios científicos como Science Direct y AGRIS, para identificar tendencias de trazabilidad agrícola en los años 2017 al 2022. Se reconocieron tendencias de aplicación e integración de los sistemas de trazabilidad en el sector agrícola entorno a distintos enfoques, entre ellos, la digitalización y seguridad de la información, la medición de la productividad agrícola y el impacto ambiental dentro del concepto de sostenibilidad. Se presentan en las conclusiones las líneas de investigación, así como las brechas de conocimiento para futuros trabajos. Conclusiones. Los resultados de la revisión en los últimos seis años enmarcan tendencias de trazabilidad en el seguimiento digital de procesos de cultivo, la medición de la productividad y el impacto ambiental. El grado de intervención directa en el productor representa la mayor proporción en la categoría del alcance logístico de trazabilidad. Por lo anterior, se recomienda a futuro el desarrollo de sistemas de trazabilidad que realicen seguimiento de indicadores de productividad, impacto ambiental y social de manera convergente, así como la participación integrada de actores del sector agrícola, entre ellos productores, asesores técnicos y entidades gubernamentales.

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“…It is the psychological process of the interaction of the cognizant, the cognitive object and the situation, and it is the function, role, structure, and relationship of people to the policy system in addition to other cognitions. The more rural residents understand the policy, the more they can understand the significance of a government’s promotion of policy reform in their thinking and cognition, as well as the changes that the policy has brought to the countryside and can be consistent in value with the government [ 49 ]. The improvement of rural residents’ policy awareness can reduce the resistance to policy implementation, save the cost of policy implementation, and gain rural residents’ recognition.…”

Section: Theoretical Backgrounds and Hypothesis Developmentmentioning

confidence: 99%

Social Network, Cognition and Participation in Rural Health Governance

Tang

Ruan

Wang

et al. 2022

IJERPH

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Rural health governance is an important part of low-carbon green life, which is also related to the sustainable development and population health project in rural areas. Based on the survey data of 2343 rural residents in China, this study adopted a binary logistic regression model to explore the effects of rural residents’ social network and cognition on their participation in rural health governance. The research results show that only less than 30% of the respondents participated in rural health governance, and the proportion of rural resident participating is not high. Both their social network and cognition have a significant impact on their participation in rural health governance. Introverted communication helps strengthen the connection between rural residents, form the network and structure of rural social communication, build emotional links and common interests, and form a common cultural understanding paradigm and action framework. The extraverted communication means that rural residents gradually break away from the social network of acquaintances, which is not conducive to building a rural community. Rural residents’ understanding of behavior begins to deviate from rural culture, customs and emotional values, and the binding force of traditional culture is reduced, making it difficult to motivate them to participate in rural public life. Policy cognition can improve rural residents’ recognition of the value and significance of health governance. Responsibility awareness is the internal driving force for rural residents to participate in health governance, which can also reduce the governance cost of rural managers. Based on this, increasing rural residents’ introverted communication and cultivating their sense of responsibility are key to promoting their participation in rural health governance.

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Understanding Chinese farmers' participation behavior regarding vegetable traceability systems

Cited by 24 publications

References 57 publications

Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Trazabilidad en el sector agrícola: una revisión para el periodo 2017 – 2022

Social Network, Cognition and Participation in Rural Health Governance

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