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Relating Knowledge and Perceptions of Sustainable Water Management to Preferences for Smart Irrigation Technology

机译:将可持续水管理的知识和认识与智能灌溉技术的偏好相关联

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Water quantity and quality concerns in urban environments have prompted conservation groups, governmental agencies, and policy makers to develop and promote residential water conservation programs, including restrictions on residential landscape irrigation practices and incentives for the adoption of water-efficient appliances. Previous literature links household characteristics, financial incentives, and demographic characteristics to the adoption of water-efficient appliances and overall water use. However, relatively little attention has been given toward understanding how homeowners’ perceptions and knowledge of smart irrigation technologies affect their preferences or stated purchase likelihood of such irrigation equipment. To address this gap in the literature, this paper identifies perception- and knowledge-related factors that are correlated with the purchase likelihood of smart irrigation controllers. The generalized logit regression model results suggest that knowledge about irrigation systems and residential landscaping are positively correlated with purchase likelihood. Similarly, homeowners’ perceptions about conservation efforts, water restrictions, and their neighbors’ irrigation habits all increase purchase likelihood. Combined with statistically-significant correlations of several socio-demographic variables and purchase likelihood, these results have theoretical and practical implications, which are summarized in this paper.
机译:城市环境中对水量和水质的关注促使保护组织,政府机构和政策制定者制定并促进了住宅用水保护计划,包括限制住宅景观灌溉实践和鼓励采用节水器具。以前的文献将家庭特征,经济诱因和人口特征与节水电器的采用和整体用水联系在一起。但是,对于了解房主对智能灌溉技术的看法和知识如何影响他们的偏好或规定的购买此类灌溉设备的可能性的关注很少。为了弥补文献中的这一空白,本文确定了与感知和知识相关的因素,这些因素与智能灌溉控制器的购买可能性相关。广义的logit回归模型结果表明,有关灌溉系统和住宅景观的知识与购买可能性呈正相关。同样,房主对保护工作,水的限制以及邻居的灌溉习惯的看法都增加了购买的可能性。结合几个社会人口统计学变量和购买可能性的统计学显着相关性,这些结果具有理论和实践意义,本文对此进行了总结。

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