Assessing the Impact of Climate Resilient Technologies in Minimizing Drought Impacts on Farm Incomes in Drylands

Josily Samuel, Chitiprolu Anantha Rama Rao, Bellapukonda Murali Krishna Raju, Anugu Amarender Reddy, Pushpanjali, Ardha Gopala Krishna Reddy, Ramaraju Nagarjuna Kumar, Mohammed Osman, Vinod Kumar Singh and Jasti Venkata Naga Satya Prasad
Additional contact information
Josily Samuel: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Chitiprolu Anantha Rama Rao: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Bellapukonda Murali Krishna Raju: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Anugu Amarender Reddy: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Pushpanjali: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Ardha Gopala Krishna Reddy: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Ramaraju Nagarjuna Kumar: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Mohammed Osman: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Vinod Kumar Singh: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Jasti Venkata Naga Satya Prasad: ICAR—Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad 500059, India
Authors registered in the RePEc Author Service: A Amarender Reddy

Sustainability, 2021, vol. 14, issue 1, 1-19

Abstract: Asia is the region most vulnerable to climate change and India is ranked as one of the most climate vulnerable countries in the world, frequently affected by natural disasters. In this study, we investigated the impact of drought on crop productivity, farmer’s employment and income. The difference-in-difference model (DID) and stepwise multiple linear regression (MLR) were employed to quantify the impact of adopting climate resilient technologies (CRTs) on farm household income during a drought. The factors influencing farm incomes were analyzed using MLR. The study used survey data collected from the drought prone district of Telangana, India. Sixty farmers each from a village adopted under the National Innovations in Climate Resilient Agriculture (NICRA) program and a control village were interviewed. Primary data on the socio-economic characteristic of farmers, cropping pattern, income composition, productivity of major crops, employment and climate resilient interventions adopted by farmers were collected using a well-structured schedule. The results reveal that income crop cultivation was the major contributor to household income (60%) followed by livestock rearing. Farmers reported that droughts decreased the income from crops by 54 per cent and income from livestock rearing by 40 per cent. The farmers belonging to the climate resilient village had 35 per cent higher incomes compared to those in the control village and it was estimated to be Rs. 31,877/farm household/year during droughts using the DID estimate. Farm size, livestock possession, adoption of CRTs and investment in agriculture were the determining factors influencing farm income. Thus, farmers especially in drought prone regions need to be encouraged and supported to adopt cost effective, location specific climate resilient technologies.

Keywords: drought; farm income; climate resilient technologies; difference-in-difference estimate (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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