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Environmental Efficiency Of Root Crop Cultivation

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  • ŻYŁOWSKI, TOMASZ
  • KOZYRA, JERZY

Abstract

In this study environmental efficiency of main root crop (sugar beets and potatoes) cultivation in Poland is evaluated. Survey data from 62 sugar beet and 74 potato farms in the years 2016 and 2017 were used for analysis. To assess efficiency, the slack based Data Envelopment Analysis model (SBM-DEA) was used, where greenhouse gas emissions were assumed as undesirable output. The reasons for inefficiency in cultivation were explained using the fractional regression model (FRM), with habitat and organizational conditions as independent variables. Differences in the structure of greenhouse gas emissions from the crops under study were indicated as a result of differences in technology used at each farm. The estimated average carbon footprint on the analysed farms for sugar beet cultivation was 0.057 (±0.042) kg CO2 e/kg and 0.13 (±0.17) kg CO2 e/kg for potato cultivation. The obtained results indicate that effective farms growing sugar beet emit, on average, 14.5% less greenhouse gases, achieving a slightly higher yield. In potato cultivation, this reduction is 15.3% with a 27% increase in yield. It has been shown that weather conditions and the economic size of farms can significantly affect the environmental efficiency of both analysed crops.

Suggested Citation

  • Żyłowski, Tomasz & Kozyra, Jerzy, 2020. "Environmental Efficiency Of Root Crop Cultivation," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2020(3).
    • Handle: RePEc:ags:paaero:308232
    DOI: 10.22004/ag.econ.308232
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    References listed on IDEAS

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    1. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    2. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    3. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    4. Jiaxing Pang & Xingpeng Chen & Zilong Zhang & Hengji Li, 2016. "Measuring Eco-Efficiency of Agriculture in China," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    5. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    6. Tzilivakis, J. & Warner, D.J. & May, M. & Lewis, K.A. & Jaggard, K., 2005. "An assessment of the energy inputs and greenhouse gas emissions in sugar beet (Beta vulgaris) production in the UK," Agricultural Systems, Elsevier, vol. 85(2), pages 101-119, August.
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