Abstract:
in this paper, we have examined the effect of climate variables on the yield average and variability of major grain crops (rice, maize, and wheat) in Iran from 1983 to 2014. For this purpose, we made use of the Just and Pope Production Function crop yields panel data. The results revealed that the influences of climate variables were different in the crops. The time trend positively influenced the average crop yield and yield variability, but increasing in the maximum temperature had a negative impact on the grain yields. While the maximum temperature increased the risk of wheat production, this variable reduced the risk of maize and rice production. Minimum temperature and rainfall had positive influences on the average yields of the crops. Furthermore, minimum temperature decreased the production risk of maize and wheat. Finally, the influences of rainfall on the yield variability were positive for whole crops. Regional dummies were statistically significant for certain climate zones. It is expected that future climate changes reduce the mean yield of the crops, all the more showing the significance of crop insurance schemes and policies that mitigate insecurity of food in the light of expected climate variations in the coming years.
Machine summary:
, 2004; Chen and Chang, 2005; Kim and Pang, 2009); a Ricardian model, however, cannot examine the influence of climatic variation on variability of yield (Mearns et al.
This inquiry set to evaluate the influences of climate variation on the productions of major grain crops of Iran (wheat, maize, and rice) using panel data.
The trend of time is correlated to the variability function and is meaningful in the quadratic approach; consistent with the results of Anderson and Hazell (1989), Isik and Devadoss (2006), and Kim and Pang (2009), revealing that yields of crop rises with time as a result of improvement in irrigation equipment, development of high yielding varieties (HYVs) and augmented usage of fertilizers.
Table 5: Elasticities of Climate VariablesYield Climate Linear Cobb- Quadratic function Variables Crops Douglas Model Mean Yield R wheat rice maize wheat rice maize wheat rice -1.
Discussion The main aim of this study was to examine the influences of climate variations on the variability and yield of three main grain crops (wheat, rice, and maize) employing disaggregated data.
The obtained elasticities were further employed to measure the influences of future scenarios of climate variation on crop production and variability for three time-slices viz.
The Economic Impact of Climate Change on Kenyan Crop Agriculture: A Ricardian Approach.
Estimating the Impact of Climate Change on Crop Yields: The Importance of Non-Linear Temperature Effects.
Investigation of the Economic Impacts of Climate Change on Iran Agriculture: A Ricardian Approach (Case Study: Wheat).