Reference Hub2
Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries: Implementation of DEA Window Analysis and ANNs

Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries: Implementation of DEA Window Analysis and ANNs

George Vlontzos, Panos M. Pardalos
Copyright: © 2017 |Pages: 19
ISBN13: 9781522521075|ISBN10: 1522521070|EISBN13: 9781522521082
DOI: 10.4018/978-1-5225-2107-5.ch001
Cite Chapter Cite Chapter

MLA

Vlontzos, George, and Panos M. Pardalos. "Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries: Implementation of DEA Window Analysis and ANNs." Driving Agribusiness With Technology Innovations, edited by Theodore Tarnanidis, et al., IGI Global, 2017, pp. 1-19. https://doi.org/10.4018/978-1-5225-2107-5.ch001

APA

Vlontzos, G. & Pardalos, P. M. (2017). Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries: Implementation of DEA Window Analysis and ANNs. In T. Tarnanidis, M. Vlachopoulou, & J. Papathanasiou (Eds.), Driving Agribusiness With Technology Innovations (pp. 1-19). IGI Global. https://doi.org/10.4018/978-1-5225-2107-5.ch001

Chicago

Vlontzos, George, and Panos M. Pardalos. "Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries: Implementation of DEA Window Analysis and ANNs." In Driving Agribusiness With Technology Innovations, edited by Theodore Tarnanidis, Maro Vlachopoulou, and Jason Papathanasiou, 1-19. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2107-5.ch001

Export Reference

Mendeley
Favorite

Abstract

Efficiency assessment in agriculture is a research field were quite important methodologies have been implemented. Data Envelopment Analysis (DEA) in one of the most recognized approaches due to the considerable advantages of it. In this paper the implementation of DEA Window analysis assesses efficiency scores of the primary sectors of EU member states on both operational and environmental level, verifying considerable efficiency differences among them and a continuous improvement after the application of the latest Common Agricultural Policy (CAP) reform. Regarding prognostication of crop and animal output, as well as Green House Gas (GHG) emissions, the application of Artificial Neural Networks (ANNs) is being proposed, succeeding satisfactory quality characteristics for the models being proposed for operational and environmental predictions in EU agriculture.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.