Farmers’ perception and economic impact assessment of agromet advisory services in rainfed regions of Karnataka and Andhra Pradesh
DOI:
https://doi.org/10.54386/jam.v22i3.187Keywords:
Agromet Advisory Service, weather forecast, descriptive statistics, probit regression model, economic impactAbstract
All India Coordinated Research Project on Agrometeorology (AICRPAM) of ICAR has started the micro-level Agromet Advisory Service (AAS) through its 25 cooperative centers across the country. Microlevel advisory based on weather forecast is the newer dimension of the AAS in the country. Studies on economic impact of these micro-level advisories are uncommon. Therefore, the present study was conducted using the field survey to assess the farmer’s perception and economic impact of micro-level AAS in Vijayapura and Anantapur centers on pilot basis. Two groups i.e. AAS and non-AAS farmers, consisting of 40 farmers in each group were selected through multi-stage stratified random sampling technique. The probit regression model was employed to assess the factors influencing willingness to pay (WTP) for AAS. Majority of farmers (65%) rated micro-level AAS as ‘very good’ on scale of ‘very poor’ to ‘very good’. Majority of non-AAS farmers were aware about micro-level AAS but lagged in adopting the service. It needs further detailed investigation of underlying causes of not adopting the service. Farming experience, education, land holding size and income were found to be most important factors influencing the farmer’s willingness for pay-based services. Results of economic impact revealed that there was 12 to 33 per cent increase in profit for AAS farmers as compared to non-AAS farmers.
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