Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/233684 
Erscheinungsjahr: 
2020
Quellenangabe: 
[Journal:] Agricultural Economics [ISSN:] 1574-0862 [Volume:] 51 [Issue:] 5 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2020 [Pages:] 685-706
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
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.
Schlagwörter: 
borewell technology
climate change
India
semiparametric duration models
urbanization
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