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

Author

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  • Joanna Smoluk-Sikorska

    (Department of Economics, Poznan University of Life Sciences, 60-639 Poznan, Poland)

  • Mariusz Malinowski

    (Department of Economics, Poznan University of Life Sciences, 60-639 Poznan, Poland)

  • Władysława Łuczka

    (Department of Economics, Poznan University of Life Sciences, 60-639 Poznan, Poland)

Abstract

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.

Suggested Citation

  • Joanna Smoluk-Sikorska & Mariusz Malinowski & Władysława Łuczka, 2020. "Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis," Agriculture, MDPI, vol. 10(11), pages 1-31, October.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:11:p:514-:d:437749
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    4. Julia Wojciechowska-Solis & Aleksandra Kowalska & Milena Bieniek & Monika Ratajczyk & Louise Manning, 2022. "Comparison of the Purchasing Behaviour of Polish and United Kingdom Consumers in the Organic Food Market during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(3), pages 1-19, January.
    5. Władysława Łuczka & Sławomir Kalinowski & Nadiia Shmygol, 2021. "Organic Farming Support Policy in a Sustainable Development Context: A Polish Case Study," Energies, MDPI, vol. 14(14), pages 1-21, July.
    6. Elżbieta Antczak, 2021. "Analyzing Spatiotemporal Development of Organic Farming in Poland," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    7. Costinela Fortea & Valentin Marian Antohi & Monica Laura Zlati & Romeo Victor Ionescu & Ioana Lazarescu & Stefan Mihai Petrea & Dragos Sebastian Cristea, 2022. "The Dynamics of the Implementation of Organic Farming in Romania," Agriculture, MDPI, vol. 12(6), pages 1-17, May.
    8. Ewelina M. Marek-Andrzejewska & Anna Wielicka-Regulska, 2021. "Targeting Youths’ Intentions to Avoid Food Waste: Segmenting for Better Policymaking," Agriculture, MDPI, vol. 11(4), pages 1-22, March.

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