ECONOMETRIC EDITING OF AGRICULTURAL PRODUCTION

Abstract

This paper delves into the application of econometric techniques to enhance agricultural production efficiency, focusing on the relationships between key inputs—such as land, labor, fertilizers, irrigation, and mechanization—and crop yields. Drawing on both primary and secondary data from various agro-climatic zones, the study utilizes advanced econometric models, including multiple regression analysis, time-series forecasting, and panel data analysis, to uncover critical drivers of agricultural productivity and regional disparities. The results highlight the pivotal role of fertilizers and irrigation in boosting yields, the diminishing returns associated with excessive labor input, and the transformative potential of mechanization and precision agriculture. Furthermore, the analysis underscores the importance of targeted policy interventions, such as subsidies for essential inputs, investment in modern farming technologies, and farmer training programs, to address inefficiencies and support sustainable agricultural growth. The paper provides actionable insights for policymakers, researchers, and agricultural practitioners aiming to optimize resource use, mitigate regional inequalities, and promote sustainable development in the agricultural sector.