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The study examined the dynamic impact of climate such as Carbon dioxide (CO 2 ) emissions, temperature, and rainfall on agricultural yield in India from 1980 to 2017 by applying the nonlinear autoregressive distributed lag (NARDL) model. The empirical evidence supports a long- and short-run asymmetry effect, implying that the positive impact of the climatic variables on agricultural yield is distinct from the adverse effects on both the long- and short-run equilibrium. In addition, CO 2  emissions and average atmospheric temperature have diverse impacts on agriculture yield.

Examining asymmetric impact of climatic factors on crop yields in India