智能除草技术的采用意向--以德国农作物种植者为对象的田间实验室实验

Q open Pub Date : 2024-01-17 DOI:10.1093/qopen/qoae002
Philipp Feisthauer, Monika Hartmann, Jan Börner
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引用次数: 0

摘要

智能除草技术(SWT)通过基于传感器的精确施药,可节省大量除草剂。这可以提高农业生物多样性,使现代农业更具可持续性。目前,我们对农场采用智能除草技术的决定因素了解有限,因为几乎没有成熟且经济可行的原型系统。我们对 334 位活跃的德国农作物种植者进行了一次预先登记和激励兼容的在线田间实验室实验,以评估亲环境态度、创新能力和对农业数据隐私的信任是否能解释假设的 SWT 采用情况。我们还进一步测试了以环保为动机的补贴、绿色提示以及它们的组合是否会影响采用意愿。在我们的样本中,虽然态度测量明显调节了假设采用决策,但我们没有检测到劝告和补贴的影响。我们的研究结果对政策和未来研究具有启示意义。只要有益于环境的智能农业技术在私下的竞争力仍然低于传统替代技术,就可能需要大量的政策支持。此外,早期采用者的目标标准包括亲环境态度和创新性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adoption intentions of smart weeding technologies – a lab-in-the-field experiment with German crop farmers
Smart weeding technologies (SWT) enable substantial herbicide savings via precise sensor-based application. This can enhance agrobiodiversity and make modern agriculture more sustainable. Currently, our knowledge about what will determine SWT adoption at farm-level is limited because few mature and economically viable prototype systems are available. We conduct a pre-registered and incentive-compatible online lab-in-the-field experiment with a convenience sample of 334 active German crop farmers to assess whether pro-environmental attitude, innovativeness and trust in farming data privacy explain hypothetical SWT adoption. We further test if an environmentally motivated subsidy, a green nudge, and a combination thereof affect adoption intentions. While attitudinal measures clearly modulate hypothetical adoption decisions in our sample, we detect no effect for the nudge and subsidy. Our findings have implications for policy and future research. Substantial policy support may be needed as long as environmentally beneficial smart farming technology remains privately less competitive than conventional alternatives. Moreover, targeting criteria for early adopters include pro-environmental attitudes and innovativeness.
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