Keywords
Andhra Pradesh
panel data
Just and Pope production function
elasticities
How to Cite
Abstract
This study investigates the influence of climate change variables—namely rainfall, maximum temperature, and minimum temperature—on mean rice yields and yield variability across different agro-climatic zones in Andhra Pradesh during the Kharif and Rabi seasons. Utilizing Just and Pope production function, the research focuses on rice, a crucial crop for both seasons in the region. Drawing from panel data spanning 1998 to 2022, the study offers significant insights. During the Kharif season, increased rainfall, along with favorable maximum and minimum temperatures, positively correlates with higher mean rice yields and reduced yield variability. In contrast, during the Rabi season, only increased rainfall showed a significant impact on enhancing yields and minimizing variability, while temperature variables did not exhibit a substantial effect. Additionally, the time trend variable showed a positive and significant association with mean yield and yield variability in both seasons. Thus, technological advancement has contributed to improved rice yields and reduced variability. These findings underscore the importance of informed decision-making in sustainable rice cultivation, enabling farmers to effectively manage the impacts of climate change on yield and variability. By utilizing this knowledge, farmers can adapt their crop management strategies to optimize productivity and bolster the resilience of rice production in the face of evolving climatic conditions.
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