期刊
JOURNAL OF CLEANER PRODUCTION
卷 410, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2023.137141
关键词
Green planting technology; Sustainable agriculture; Sustainable development goals; Structural equation modeling; Technology extension
In China, the plan for agricultural green development has been put forward to ensure the safety and health of green products from farming land to dinner table through strict control from the production side, with green planting technology playing a crucial role. This study analyzed the factors influencing farmers' intention to adopt green planting technology using a structural equation model. The results showed that farmers first consider their own competences and personal gains and losses, followed by the influence of people closely related to farming, while environmental concerns and values rank last. Agricultural technology extension and government support are important in promoting the adoption of green planting technology.
In the global practice of sustainable agricultural development, China has put forward a plan for agricultural green development, with strict control from the production side to ensure the safety and health of green products from farming land to dinner table through strict control from the production side, and green planting is one of the key technologies. Green planting technology (GPT) is an important initiative in China to achieve sustainable agriculture under the Sustainable Development Goals (SDGs). Farmers' acceptance of this technology not only requires national publicity and promotion, but also the adoption of agricultural entities across the country. In this study, we widely distributed questionnaires to farmers in 26 provinces and cities, and received 970 valid re-sponses. This paper uses structural equation model (SEM), a multivariate statistical analysis method, to analyze the influencing factors of farmers' intention to adopt GPT. These results demonstrated that the farmers first consider their own behavioral competences and personal gains and losses before deciding to adopt GPT, followed by the impact of people closely related to farming, while environmental concerns and environmental values rank last. Agricultural technology extension plays an intermediary role in farmers' behavioral intention, and gov-ernment support acts as a safeguard. The findings will not only help to grasp the reasons behind ineffective promotion of GPT to improve the dissemination and adoption of GPT, but also enable government agencies and authorities to better understand the views of farmers, and subsequently formulate feasible policies and plans.
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