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Investigating the technical sustainability of farming systems with correlational biplots

Bibliographic Data

ID19500659
AuthorsCarlos Ricardo Bojacá (0000-0003-0230-326X, Universidad de Bogotá Jorge Tadeo Lozano, corresponding author), Sady J García (b Facultad de Agronomía , Universidad Nacional Agraria La Molina , Lima , Peru), Sady García-Bendezú (0000-0002-2498-3940, Universidad Nacional Agraria La Molina), Eddie Schrevens (KU Leuven)
Year2012
Volume19
Issue4
Pages361-368
Publication date2012-08-01
Open AccessNo
TypeARTICLE
VenueInternational Journal of Sustainable Development & World Ecology (JOURNAL)
Journal identifiersISSN: 1350-4509 • E-ISSN: 1745-2627
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13504509.2012.671194
OpenAlexW1994394431
LanguageEN
Citations received2
References cited21

Nowadays sustainability has become one of the major topics of interest in farming systems research. Farming systems sustainability is analyzed in this work by introducing the concept of technical sustainability, defined here as the ability of a biological production system to make an efficient use of the available resources on field level with the main goal to maximize its economic output given a set of uncontrolled biophysical constraints. This concept is developed and applied to the agricultural production area of the Mantaro Valley (Peru). Through fortnightly visits, data on biophysical characteristics of the crops on selected production fields were collected without taking part in the decision process of the growers to manage their crops. Afterward, by applying a multivariate exploratory data method, principal component analysis, it was possible to establish technical efficiency gradients for the tested data. The capabilities of such type of analysis are explored by studying two types of standardization of the collected data. The biplot graphical output that can be built upon the results of the analysis represents an extra powerful feature to interpret the outcome of the analysis

Agricultural engineering · Agriculture · Biplot · Business · Economics · Environmental economics · Environmental resource management · Geography · Standardization · Sustainability · Sustainable development · Agriculture Sustainability and Environmental Impact · Computer Science · Engineering · Environmental Science · Mathematics · Statistical Methods and Applications · Sustainable Agricultural Systems Analysis

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Citations per year0.15
Citation span2013 - 2014 (2)
Highly citedNo

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