The general aim of the present study is to investigate the convergence of productivity in the agriculture sector in selected provinces located in different6 climatic regions under the influence of risks arising from temperature and precipitation changes. To test the convergence of productivity in the agriculture sector in selected provinces of Iran, the panel data unit root test was used. Additionally, the impact of climatic variables was examined using a random parameter stochastic production frontier function (TRP-SPF). The results of estimating the TRP-SPF model showed that an increase in air temperature has a negative and significant effect on the level of agricultural production. Furthermore, precipitation and deviation from long-term average precipitation have a positive and significant impact on agricultural production. This result highlights the importance of providing more support to farmers to increase their risk tolerance and sense of security against climate change. Based on the results, despite observing fluctuations and differences in productivity among the provinces studied in the short term, the existence of long-term convergence in productivity among the selected provinces was confirmed. Therefore, it is recommended that future government support policies be adopted in a way that reduces risks arising from the effects of climate change and, consequently, improves the convergence gap in productivity among the studied provinces.
Type of Study:
Research |
Subject:
Special Received: 2025/01/26 | Accepted: 2025/03/3