This study assesses the long-run relationship and short-run dynamics between paddy yields and climate variables: maximum and minimum temperature and rainfall using time-series data from 1971 to 2014 in Nepal. Applying Autoregressive-Distributed Lag Regression or ARDL bound testing approach for analysis of co-integration between the variables, we confirm that there is a long-run relationship among the variables. Furthermore, we employ Granger non-causality tests for robustness. The findings reveal that rainfall has substantial effects on the rice yield. Specifically, a positive and significant relationship exists between rice yields and rainfall and that this relationship is unidirectional. Rainfall causes rice yield and holding all things constant, a 1 mm increase in rainfall increases rice yields by 0.65 percent. Given these effects of temperature on rice crops and increasing climate change vulnerabilities, agricultural scientists should focus on research and development of temperature tolerant rice varieties in the production of rice yields.
Asian Journal of Agriculture and Development (AJAD) | |
17 | |
2 | |
63–78 | |
December 2020 | |
ARDL Model climate change rice production Time Series Analysis Nepal | |
O13 Q15 Q54 | |
1656-4383 (print); 2599-3879 (online) | |
https://doi.org/10.37801/ajad2020.17.2.4 | |
Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) |