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Evaluation of Sustainability of Maize Cultivation in Poland. A Prospect Theory—PROMETHEE Approach

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  • Aleksandra Król

    (Department of Bioeconomy and Systems Analysis, Institute of Soil Science and Plant Cultivation—State Research Institute, 8 Czartoryskich St, 24-100 Puławy, Poland)

  • Jerzy Księżak

    (Department of Forage Crop Production, Institute of Soil Science and Plant Cultivation—State Research Institute, 8 Czartoryskich St, 24-100 Puławy, Poland)

  • Elżbieta Kubińska

    (School of Law and Finance, Cracow University of Economics, 27 Rakowicka St, 31-510 Cracow, Poland)

  • Stelios Rozakis

    (Department of Bioeconomy and Systems Analysis, Institute of Soil Science and Plant Cultivation—State Research Institute, 8 Czartoryskich St, 24-100 Puławy, Poland
    School of Environmental Engineering, Technical University of Crete, Kounoupidiana, 73100 Chania, Greece)

Abstract

This study aims at exploiting research outcomes concerning tillage practices in order to make solutions available to farmers to mitigate negative environmental impact to soils. Two alternative practices have been analysed against conventional full tillage based on data provided by a long-term experiment conducted at the Institute of Soil Science and Plant Cultivation (IUNG) farm in Grabów, Central Poland. Reduced Tillage and Direct Sowing are evaluated against Full Tillage on the basis of socio-economic and environmental criteria. Multi-criteria decision analysis undertaken using the PROMETHEE method provided evidence that the ‘optimal’ maize cultivation system depends on the decision maker’s viewpoint and preferences. In fact, criteria selected and related weights elicited from representative farmers, as well as from an expert agronomist, reveal different viewpoints. Direct sowing was the most preferable for the large farm and expert perspective, whereas in case of small farm reduced tillage ranked first. Prospect theory developed by behavioural economists was incorporated to take into account decision biases. As a matter of fact, based on Prospect Theory-PROMETHEE from the small farm and the expert perspective, the conventional system was now ranked first, while for the large farm, the most preferable practice was still direct sowing.

Suggested Citation

  • Aleksandra Król & Jerzy Księżak & Elżbieta Kubińska & Stelios Rozakis, 2018. "Evaluation of Sustainability of Maize Cultivation in Poland. A Prospect Theory—PROMETHEE Approach," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4263-:d:183727
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    References listed on IDEAS

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    Cited by:

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    2. Ateekh Ur Rehman & Syed Hammad Mian & Usama Umer & Yusuf Siraj Usmani, 2019. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    3. Cano, Priscila B. & Cabrini, Silvina M. & Peper, Alberto M. & Poggio, Santiago L., 2023. "Multi-criteria assessment of cropping systems for the sustainable intensification in the Pampas," Agricultural Systems, Elsevier, vol. 210(C).
    4. Kubińska, Elżbieta & Adamczyk-Kowalczuk, Magdalena & Andrzejewski, Mariusz & Rozakis, Stelios, 2022. "Incorporating the status quo effect into the decision making process: The case of municipal companies merger," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Anita Konieczna & Kamil Roman & Monika Roman & Damian Śliwiński & Michał Roman, 2020. "Energy Efficiency of Maize Production Technology: Evidence from Polish Farms," Energies, MDPI, vol. 14(1), pages 1-20, December.
    6. Irene Tzouramani & Stamatis Mantziaris & Pavlos Karanikolas, 2020. "Assessing Sustainability Performance at the Farm Level: Examples from Greek Agricultural Systems," Sustainability, MDPI, vol. 12(7), pages 1-22, April.
    7. Zongxian Liu & Wenshuai Song & Bo Cui & Xiaoling Wang & Hongling Yu, 2019. "A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers," Energies, MDPI, vol. 12(19), pages 1-30, September.

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