A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production

• Published in: Energy (Oxford) Vol. 63; pp. 189 - 194
• Main Authors: Khoshroo, Alireza, Mulwa, Richard, Emrouznejad, Ali, Arabi, Behrouz
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 15.12.2013; Elsevier
• Subjects: animal manures; Applied sciences; Data envelopment analysis; diesel fuel; Education; educational status; Efficiency; electricity; Energy; Energy consumption; energy efficiency; Energy management; Energy use; environmental hazards; Exact sciences and technology; farmers; Farming; farming systems; Farms; fossils; fruit crops; fungicides; gender; Grape production; Grapes; herbicides; humans; insecticides; irrigation water; labor; Mathematical models; Productivity; sustainable agriculture; Vitaceae; viticulture; Productivity; Grape production; Efficiency; Data envelopment analysis; Data analysis; Energy conservation; Energetic efficiency; Energy savings

Grape is one of the world's largest fruit crops with approximately 67.5 million tonnes produced each year and energy is an important element in modern grape productions as it heavily depends on fossil and other energy resources. Efficient use of these energies is a necessary step toward reducin...