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On the Way to Sustainable Agriculture—Eco-Efficiency of Polish Commercial Farms

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  • Marlena Gołaś

    (Institute of Economics and Finances, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland)

  • Piotr Sulewski

    (Institute of Economics and Finances, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland)

  • Adam Wąs

    (Institute of Economics and Finances, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland)

  • Anna Kłoczko-Gajewska

    (Institute of Economics and Finances, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland)

  • Kinga Pogodzińska

    (Institute of Economics and Finances, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland)

Abstract

The negative impact of agriculture on the natural environment is not a new issue. One of the ideas to overcome this problem is the eco-efficiency concept, analyzing the agricultural output in relation, not only to traditional inputs, but to the environmental impact, as well. This paper aims at calculating the eco-efficiency of Polish commercial farms, based on a representative sample of 601 farms participating in the Polish Farm Accountancy Data Network (FADN). To assess the eco-efficiency of the farms, variables illustrating traditional inputs (land, labor, capital), as well as variables reflecting the environmental pressure of the surveyed farms (greenhouse gas (GHG) emissions, and nitrogen and phosphorus surpluses) were used. Data envelopment analysis (DEA) revealed that, on average, farms could reduce their inputs by almost a quarter without reducing their outputs. Additionally, it was revealed that incorporating externalities of agricultural production into analyses decreases the diversity of the farm population in terms of efficiency measures. According to the analyses, more eco-efficient farms are characterized by larger utilized agricultural area (UAA), higher production value, and higher intensity of chemical inputs per 1 ha, but at the same time by lower amounts of inputs used per production unit. Moreover, more eco-efficient farms achieved higher farm incomes in many terms: total, per 1 ha of UAA, and per 1 EUR of production value.

Suggested Citation

  • Marlena Gołaś & Piotr Sulewski & Adam Wąs & Anna Kłoczko-Gajewska & Kinga Pogodzińska, 2020. "On the Way to Sustainable Agriculture—Eco-Efficiency of Polish Commercial Farms," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
  • Handle: RePEc:gam:jagris:v:10:y:2020:i:10:p:438-:d:420535
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    3. Wenqiang Jiang & Baocai Su & Shuisheng Fan, 2023. "Spatial Disequilibrium and Dynamic Evolution of Eco-Efficiency in China’s Tea Industry," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    4. Songbiao Li & Lina Shangguan, 2024. "Has the Policy of National Agricultural Green Development Pilot Zones Enhanced the Agricultural Eco-Efficiency? Observation Based on the County-Level Data from Hubei Province of China," Sustainability, MDPI, vol. 16(21), pages 1-19, October.
    5. Adam Wąs & Vitaliy Krupin & Paweł Kobus & Jan Witajewski-Baltvilks & Robert Jeszke & Krystian Szczepański, 2021. "Towards Climate Neutrality in Poland by 2050: Assessment of Policy Implications in the Farm Sector," Energies, MDPI, vol. 14(22), pages 1-25, November.
    6. Aneta Zakrzewska & Anna Nowak, 2022. "Diversification of Agricultural Output Intensity across the European Union in Light of the Assumptions of Sustainable Development," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    7. Guofeng Wang & Rui Shi & Lingchen Mi & Jinmiao Hu, 2022. "Agricultural Eco-Efficiency: Challenges and Progress," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
    8. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    9. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    10. Yi Cheng, 2023. "Analysis of Development Strategy for Ecological Agriculture Based on a Neural Network in the Environmental Economy," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    11. Yunfei Feng & Yi Zhang & Zhaodan Wu & Quanliang Ye & Xinchun Cao, 2023. "Evaluation of Agricultural Eco-Efficiency and Its Spatiotemporal Differentiation in China, Considering Green Water Consumption and Carbon Emissions Based on Undesired Dynamic SBM-DEA," Sustainability, MDPI, vol. 15(4), pages 1-26, February.

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