Determinants of Farmers’ Adaptation Strategies Towards Climate-resilient Agriculture in Haryana, India
Farmers’ adaptation strategies for climate resilient agriculture
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Authors
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Naseeb Choudhary
Chaudhary Charan Singh Haryana Agricultural University, Hisar– 125004 Haryana, India
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UK Sharma
Chaudhary Charan Singh Haryana Agricultural University, Hisar– 125004 Haryana, India
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Monika Devi
Chaudhary Charan Singh Haryana Agricultural University, Hisar– 125004 Haryana, India
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Rajveer
Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India
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Jasveer Singh
Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India
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Rohtash Kumar
Chaudhary Charan Singh Haryana Agricultural University, Hisar– 125004 Haryana, India
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Jaipal
Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India
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Bhupender
Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India
Keywords:
Adaptation strategies, Climate resilience, Probit modelAbstract
Climate change poses a significant challenge to agriculture, particularly in regions where farming is the primary livelihood. Haryana, a key agrarian state in northern India, is highly vulnerable to climate-induced risks such as temperature fluctuations, erratic rainfall, and resource depletion. This study examines farmers’ adaptation mechanisms and the factors influencing their adoption of climate-resilient strategies in Hisar and Sonipat districts. Primary data were collected from 120 farmers through a structured interview schedule using a multi-stage random sampling technique. Descriptive statistics and a probit regression model were employed to analyse adaptation mechanisms and the determinants influencing their adoption. The findings reveal that the most frequently adopted adaptation measures include increased irrigation (65.8%), enhanced fertilizer application (63.3%), and adjustments in crop sowing time (60.8%). Other strategies, such as crop insurance (58.3%), soil and water conservation techniques (38.3%), and intercropping (36.7%), were also observed. Probit regression analysis identified key determinants influencing adaptation decisions. Age exhibited a negative impact, suggesting that older farmers are less likely to adopt adaptation strategies. Conversely, landholding size, education level, income level, and access to climate change information positively influenced adaptation decisions. However, family type and occupation type did not significantly impact adaptation choices. The study highlights the need for targeted policies to enhance climate adaptation, particularly through improved access to climate-related information, education, and financial resources. Strengthening extension services and promoting sustainable adaptation mechanisms can improve farmers’ resilience and ensure agricultural sustainability in Haryana.
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