Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis

Organic farming in Poland has been developing dynamically since the accession to the EU. However, there are considerable differences in the level of organic farming development in particular regions. Therefore, it is vital to identify the primary factors and conditions for this development and their...

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Main Authors: Joanna Smoluk-Sikorska, Mariusz Malinowski, Władysława Łuczka
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/10/11/514
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author Joanna Smoluk-Sikorska
Mariusz Malinowski
Władysława Łuczka
author_facet Joanna Smoluk-Sikorska
Mariusz Malinowski
Władysława Łuczka
author_sort Joanna Smoluk-Sikorska
collection DOAJ
description Organic farming in Poland has been developing dynamically since the accession to the EU. However, there are considerable differences in the level of organic farming development in particular regions. Therefore, it is vital to identify the primary factors and conditions for this development and their importance considering their spatial distribution. The presented paper aims to estimate the relationships between the level of organic agriculture development and selected conditions of financial and environmental character. The investigation is based on primary data for 2017 retrieved from the Local Data Bank of the Main Statistical Office and Agricultural and Food Quality Inspection database for all Poland districts. In order to achieve this objective, a multivariate statistical analysis method—the canonical correlation was applied. The analysis was preceded by constructing the composite indices of organic agriculture development and its conditions based on a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and correlation analysis between the indices developed by the authors. The performed canonical analysis showed two statistically significant canonical variables with relatively high values of the canonical correlation (0.74 and 0.59). It proves that the degree of explaining the variability of one set of variables through linear relationships (referring to the level of organic farming development), by the second input data set (describing the determinants of the development), by successive pairs of canonical variables is high. This means that the created model describes relatively well the considered data sets.
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spelling doaj.art-5ac4f4fe5f34457aa06ee83222e4b4452023-11-20T19:14:04ZengMDPI AGAgriculture2077-04722020-10-01101151410.3390/agriculture10110514Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical AnalysisJoanna Smoluk-Sikorska0Mariusz Malinowski1Władysława Łuczka2Department of Economics, Poznan University of Life Sciences, 60-639 Poznan, PolandDepartment of Economics, Poznan University of Life Sciences, 60-639 Poznan, PolandDepartment of Economics, Poznan University of Life Sciences, 60-639 Poznan, PolandOrganic farming in Poland has been developing dynamically since the accession to the EU. However, there are considerable differences in the level of organic farming development in particular regions. Therefore, it is vital to identify the primary factors and conditions for this development and their importance considering their spatial distribution. The presented paper aims to estimate the relationships between the level of organic agriculture development and selected conditions of financial and environmental character. The investigation is based on primary data for 2017 retrieved from the Local Data Bank of the Main Statistical Office and Agricultural and Food Quality Inspection database for all Poland districts. In order to achieve this objective, a multivariate statistical analysis method—the canonical correlation was applied. The analysis was preceded by constructing the composite indices of organic agriculture development and its conditions based on a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and correlation analysis between the indices developed by the authors. The performed canonical analysis showed two statistically significant canonical variables with relatively high values of the canonical correlation (0.74 and 0.59). It proves that the degree of explaining the variability of one set of variables through linear relationships (referring to the level of organic farming development), by the second input data set (describing the determinants of the development), by successive pairs of canonical variables is high. This means that the created model describes relatively well the considered data sets.https://www.mdpi.com/2077-0472/10/11/514organic agriculturedevelopmentconditionscanonical analysisTOPSIS methodlinear ordering
spellingShingle Joanna Smoluk-Sikorska
Mariusz Malinowski
Władysława Łuczka
Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis
Agriculture
organic agriculture
development
conditions
canonical analysis
TOPSIS method
linear ordering
title Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis
title_full Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis
title_fullStr Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis
title_full_unstemmed Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis
title_short Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis
title_sort identification of the conditions for organic agriculture development in polish districts an implementation of canonical analysis
topic organic agriculture
development
conditions
canonical analysis
TOPSIS method
linear ordering
url https://www.mdpi.com/2077-0472/10/11/514
work_keys_str_mv AT joannasmoluksikorska identificationoftheconditionsfororganicagriculturedevelopmentinpolishdistrictsanimplementationofcanonicalanalysis
AT mariuszmalinowski identificationoftheconditionsfororganicagriculturedevelopmentinpolishdistrictsanimplementationofcanonicalanalysis
AT władysławałuczka identificationoftheconditionsfororganicagriculturedevelopmentinpolishdistrictsanimplementationofcanonicalanalysis