Next Article in Journal
Gender, Educational Attainment, and Farm Outcomes in New Zealand
Previous Article in Journal
Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle

Efficiency of Vegetables Produced in Glasshouses: The Impact of Data Envelopment Analysis (DEA) in Land Management Decision Making

1
Department of Agricultural Economics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2
Department of Agriculture, Crop Production and Rural Development, University of Thessaly, 38446 Volos, Greece
*
Author to whom correspondence should be addressed.
Received: 24 November 2018 / Revised: 7 January 2019 / Accepted: 10 January 2019 / Published: 13 January 2019
Full-Text   |   PDF [412 KB, uploaded 13 January 2019]   |  

Abstract

Glasshouse farming is one of the most intensive types of production of agricultural products. Via this process, consumers have the ability to consume mainly off-season vegetables and farmers are able to reduce operational risks, due to their ability to control micro-climate conditions. This type of farming is quite competitive worldwide, this being the main reason for formulating and implementing assessment models measuring operational performance. The methodology used in this study is Data Envelopment Analysis (DEA), which has wide acceptance in agriculture, among other sectors of the economy. The production protocols of four different vegetables—cucumber, eggplant, pepper, and tomato—were evaluated. Acreage (m2), crop protection costs (€), fertilizers (€), labor (Hr/year), energy (€), and other costs (€) were used as inputs. The turnover of every production unit (€) was used as the output. Ninety-eight agricultural holdings participated in this survey. The dataset was obtained by face-to-face interviews. The main findings verify the existence of significant relative deficiencies (including a mean efficiency score of 0.87) as regards inputs usage, as well as considerably different efficiency scores among the different cultivations. The most efficient of these was the eggplant production protocol and the least efficient was that used for the tomato. The implementation of DEA verified its utility, providing incentives for continuing to use this methodology for improving land management decision making. View Full-Text
Keywords: input optimization; efficiency; intensive farming; glasshouse; DEA input optimization; efficiency; intensive farming; glasshouse; DEA
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Bournaris, T.; Vlontzos, G.; Moulogianni, C. Efficiency of Vegetables Produced in Glasshouses: The Impact of Data Envelopment Analysis (DEA) in Land Management Decision Making. Land 2019, 8, 17.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Land EISSN 2073-445X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top