未来的可持续农业技术:确定不同消费群体的采用准备情况

IF 12.9 1区 管理学 Q1 BUSINESS
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引用次数: 0

摘要

人口的快速增长和不可持续的农业生产方式严重破坏了环境。我们的研究探讨了如何通过环境友好型方法实现粮食安全,如可控环境农业(CEA)、基因编辑(GE)和农业自动化(FA),并强调了消费者接受这些技术的重要性。通过分析来自 2138 名澳大利亚人和 1760 名新西兰人的数据,我们采用了两步聚类法--(1)分层聚类和(2)k-均值聚类--将消费者根据其人口统计和生活方式偏好分为三个部分,以反映他们对农业新技术的态度差异:"绿色都市人"、"不关注环境的人 "和 "持怀疑态度的美食家"。我们的研究结果表明,"绿色都市人 "最愿意采用 CEA、GE 和 FA,而 "怀疑美食家 "和 "不关注环境者 "则更不愿意。我们对消费者接受可持续技术的一个新层面进行了研究,揭示了消费、生活和生活方式是如何促使农业部门接受新技术的,从而为理论研究做出了贡献。为指导实践,我们提出了量身定制的策略,以提高已识别群体的参与度,促进更广泛地接受可持续农业实践,从而加强粮食安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable agricultural technologies of the future: Determination of adoption readiness for different consumer groups

The rapid increase in population and unsustainable agricultural practices has significantly damaged the environment. Our study explores how to achieve food security through environmentally friendly methods such as controlled environment agriculture (CEA), genetic editing (GE), and farming automation (FA), with an emphasis on the importance of consumer acceptance of these technologies. Analyzing data from 2138 Australians and 1760 New Zealanders, we employ a two-step clustering method—(1) hierarchical clustering and (2) k-means clustering—to categorize consumers on the basis of their demographic and lifestyle preferences into three segments that capture differences in attitudes toward new agricultural technologies: “Green Urbanites,” “Environmentally Unconcerned,” and “Skeptical Foodie.” Our findings reveal that Green Urbanites are the most open to adopting CEA, GE, and FA, while Skeptical Foodies and Environmentally Unconcerned are more reluctant. We contribute to theory by studying a novel facet of consumer acceptance of sustainable technologies and revealing how consumption, living, and lifestyle patterns motivate new technology acceptance in the agricultural sector. To inform practice, we suggest tailored strategies to increase engagement of the identified segments and promote wider acceptance of sustainable agricultural practices for enhanced food security.

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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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