The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries: Implementation of DEA Window Analysis and ANNs
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.
Related Content
|
Muhammad Asim, Aamir Raza, Muhammad Safdar, Mian Muhammad Ahmed, Amman Khokhar, Mohd Aarif, Mohammed Saleh Al Ansari, Jaffar Sattar, Ishtiaq Uz Zaman Chowdhury.
© 2024.
26 pages.
|
|
Mian Muhammad Ahmed, Umer Sharif, Aamir Raza, Muhammad Safdar, Waqar Ali, Muhammad Asim, Hafsa Muzammal, Jaffar Sattar, Sheraz Maqbool, Malaika Zaheer.
© 2024.
24 pages.
|
|
James Kanyepe, Tinashe Musasa, Katlego Mahupa Ketlhaetse, Brave Zizhou.
© 2024.
29 pages.
|
|
Mohamed Salah El Din, Masengu Reason.
© 2024.
25 pages.
|
|
Blessing Hodzi, Neil Batsirai Maheve.
© 2024.
19 pages.
|
|
Joshua Risiro, Divaries Cosmas Jaravaza, Paul Mukucha.
© 2024.
27 pages.
|
|
Option Takunda Chiwaridzo, Rodwell Musiiwa, Tariro Hlasi.
© 2024.
26 pages.
|
|
|