In this article, we analyze the effects of household location and weather variability on the adoption of borewell technology along the rural–urban interface of Bangalore, India. Understanding these effects can help to design policies that ensure smallholders’ livelihoods and the functioning of ecosystems in drought‐prone areas. First, a theoretical framework was developed that conceptualizes how household location and weather can influence farmers’ adoption decisions. Then, an empirical analysis based on a primary data set collected in 2016 and 2017, covering 576 farm households, was conducted. With a semiparametric hazard rate model, determinants of the borewell adoption rate were analyzed. Different rainfall variables were included to capture the effect of changing climate conditions as well as a two‐dimensional penalized spline (P‐spline) to estimate the effects of household location. Results show that proximity to Bangalore, but also secondary towns accelerate adoption rates. In terms of weather variability, the study finds that a higher amount of total annual rainfall decelerates adoption rates, whereas higher amounts of rainfall during the southwest monsoon (the most important cropping season) accelerate adoption.

中文翻译：

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深入研究并枯竭—面对气候变化和城市化，采用井眼技术

在本文中，我们分析了印度班加罗尔农村和城市交界处家庭位置和天气变化对采用井眼技术的影响。了解这些影响有助于设计确保干旱多发地区小农户的生计和生态系统功能的政策。首先，建立了一个理论框架，概念化了家庭位置和天气如何影响农民的收养决定。然后，基于2016年和2017年收集的576个农户的原始数据进行了实证分析。使用半参数危险率模型，分析了井筒通过率的决定因素。包括了不同的降雨变量以捕捉气候条件变化的影响，以及一个二维的惩罚样条线（P样条线）来估计家庭位置的影响。结果表明，靠近班加罗尔以及二级城镇都加快了采用率。在天气多变性方面，研究发现，较高的年总降雨量会降低采用率，而西南季风（最重要的种植季节）期间较高的降雨量会加速采用。