OPTIMIZING FARM PRODUCTIVITY THROUGHPRIVATIZATION, SUPPORT SERVICES, MISCALIBRATIONSAND LINEAR PROGRAMMING IN AGRICULTURALMANAGEMENT

Abstract

The study examines the conditional effects of privatization and
farm support services on farm production by considering resource calibration and environmental conditions. Several econometric models are used to assess how privatization and resource miscalibration affect farm productivity. Conditional process modeling and linear programming are used
to determine the expenditure for reducing greenhouse gas emissions and boosting output from agriculture. The information demonstrate that privatization makes support services more conditional but reduces resource calibration. The linear programming methodology increases farm productivity while reducing environmental impact by eliminating waste of resources and optimizing inputs. The findings emphasize the necessity for
ecologically friendly farming that balances rewards with other factors. Our findings used by farm policymakers to inform the development of policies about farm support services, calibration of farm resources, changes to the market, and differentiated policies regarding farm outcomes; these policies will primarily target the oppressed poor farmers in the farm sector.