ABSTRACT
The study examined the dynamic impact of climate such as Carbon dioxide (CO2) 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, CO2 emissions and average atmospheric temperature have diverse impacts on agriculture yield.
Acknowledgement
Authors thank Mr. Tahir Fazal for making some data available. They are also thankful to the editor and anonymous reviewers for helpful comments. However, the usual disclaimer applies.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Correction Statement
This article has been republished with minor changes. These changes do not impact the academic content of the article.
Notes
1 Variables are transformed into logarithm, except temperature and rainfall.
2 The results are not reported due to brevity. It can be made available upon request.