Your search found 4 records
1 Phansalkar, S. 2003. Understanding underdevelopment in Vidarbha. IWMI-Tata Water Policy Research Highlight, 11/2003. 5p.
Irrigated farming ; Climate ; Cropping systems ; Poverty ; Income / India / Maharashtra / Vidarbha / Nagpur / Wardha / Yavatmal
(Location: IWMI HQ Call no: IWMI 631.7.3 G635 PHA Record No: H031805)
(658.25 KB)
Research highlight based on a paper titled ôUnderstanding underdevelopment: Characterizing regional development in Vidarbha with special focus on water useö
2 Alfredo, K. A.; O’Garra, T. 2020. Preferences for water treatment provision in rural India: comparing communal, pay-per-use, and labour-for-water schemes. Water International, 45(2):91-111. [doi: https://doi.org/10.1080/02508060.2020.1720137]
Water treatment plants ; Willingness to pay ; Drinking water ; Rural communities ; Community involvement ; Fluorides ; Contamination ; Public health ; Sanitation ; Sustainability ; Villages ; Socioeconomic environment ; Models / India / Maharashtra / Yavatmal
Call no: e-copy only Record No: H049632)
(2.50 MB)
Using a contingent valuation survey, this research identifies villagers’ willingness to pay towards the operation and maintenance of water treatment plants in 11 villages in Maharashtra with existing facilities. Preferences were elicited using three different payment mechanisms: a monthly fee, labour (time) contributions, and a pay-per-container mechanism. There was little support for the pay-per-container scheme (51% stated positive willingness to pay for this option), but the communal mechanisms were more popular (86.7% and 87.3%). We conclude that the long-term viability of water treatment in Maharashtra is weak, as few scenarios provide adequate revenue to properly operate and maintain the infrastructure.
3 Hatch, N. R.; Daniel, D.; Pande, S. 2022. Behavioral and socio-economic factors controlling irrigation adoption in Maharashtra, India. Hydrological Sciences Journal, 67(6):847-857. (Special issue: Advancing Socio-Hydrology) [doi: https://doi.org/10.1080/02626667.2022.2058877]
Irrigation ; Adoption ; Socioeconomic aspects ; Psychological factors ; Farmers' attitudes ; Norms ; Risk ; Water scarcity ; Modelling / India / Maharashtra / Vidarbha / Marathwada / Nagpur / Wardha / Amaravati / Yavatmal
(Location: IWMI HQ Call no: e-copy only Record No: H051452)
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2058877
https://vlibrary.iwmi.org/pdf/H051452.pdf
https://vlibrary.iwmi.org/pdf/H051452.pdf
(3.48 MB) (3.48 MB)
Psychological frameworks are rarely used to understand irrigation adoption behaviour in developing countries. A Bayesian belief network (BBN) model was developed that integrated socio-economic characteristics and psychological factors to understand farmer behaviours with respect to irrigation practices in four districts of Maharashtra, India. Strong norms, risk perceptions of water scarcity, and attitude play roles in the adoption of irrigation technology and practices. Critically, it was found that no one factor can explain adoption behaviour; rather, an ensemble of factors is needed to understand farmer behaviour. A farmer who is highly educated, middle-aged, and moderately wealthy with a significant level of family help and an open well as their main water source, while receiving low promotional information related to water scarcity and irrigation adoption, is most likely to adopt irrigation technology. The application of the BBN in this study enables stakeholders and policymakers to better understand the linkages between different factors and behaviour.
4 Prasad, P.; Gupta, P.; Belsare, H.; Mahendra, C. M.; Bhopale, M.; Deshmukh, S.; Sohoni, M. 2023. Mapping farmer vulnerability to target interventions for climate-resilient agriculture: science in practice. Water Policy, wp2023036. (Online first) [doi: https://doi.org/10.2166/wp.2023.036]
Climate resilience ; Farmers ; Vulnerability ; Crop water use ; Soybeans ; Water stress ; Soil moisture ; Transdisciplinary research ; Protective irrigation ; Villages ; Policies ; Evapotranspiration ; Water balance ; Irrigation ; Soil texture ; Models ; Climate change / India / Maharashtra / Adgaon / Yavatmal / Mangrul / Nanded
(Location: IWMI HQ Call no: e-copy only Record No: H052114)
https://iwaponline.com/wp/article-pdf/doi/10.2166/wp.2023.036/1268773/wp2023036.pdf
https://vlibrary.iwmi.org/pdf/H052114.pdf
https://vlibrary.iwmi.org/pdf/H052114.pdf
(0.96 MB) (980 KB)
Farmers in dryland regions are highly vulnerable to rainfall variability. This vulnerability is unequal, as it is mediated by biophysical and social factors. Implementing policies for climate resilience requires identification of farmers who are most vulnerable to extreme events like dry spells. We develop a novel approach by conceptualizing dry spell vulnerability at the farm scale in terms of monsoon crop water deficit. Using inputs of weather, terrain, soil properties, land-use-land-cover, crop properties, and cadastral maps, our tool models an hourly soil water balance at 30 m × 30 m resolution and maps the crop water deficit under rainfed conditions. This is a good indicator of the relative sensitivity of farmers to dry spells and allows prioritization of interventions within the focus region. Our tool, developed and deployed within the Maharashtra State Project on Climate-Resilient Agriculture, is iteratively calibrated and refined. We present the result of one such iteration where 72% of cases were found to have an agreement between the modelled output and farmers' perception of dry spell-induced crop water stress. Our work demonstrates how vulnerability to climate hazards may be mapped at micro-scales to assist policy makers in targeting interventions in ecologically fragile regions with high rainfall variability.
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