Th e paper aims to assess the impact of the Common Agricultural Policy reform (post 2014) in the environmental vulnerable areas from Romania. It proposes a bio-economic dynamic farm model calibrated with the positive mathematical programming (PMP). Th e standard PMP approach was extended to simulate the mixed farming systems through the introduction of a livestock production activity in the fi rst calibration step. It allows incorporating activities not available in the base year, but that can be performed by the farmers after the future policy reforms. Th e model provides supply-responses for both the crop and livestock farms according to the agricultural and fi nancial policy shifts. It maximizes the farm net fi nancial fl ows subject to the resource, livestock, fi nancial and agricultural policy constraints. Th e initialisation data were obtained from a face-to-face stratifi ed survey applied on the mixed-sheep farms that have used grassland areas under the Agri-Environment Schemes (AES) in the North-Western Romania (Transylvania). Th e results show that the most vulnerable group to the policy changes is represented by the small-size farms, to which the AES are very important economic drivers. Th us, the diversifi cation and the off -farm employments possibilities should be integrated into the future rural development plans as a premise for their survival.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.