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GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach

Author

Listed:
  • Endre Harsányi

    (Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Utilization, Technology and Regional Development, University of Debrecen, Böszörményi Str. 138, 4032 Debrecen, Hungary)

  • Bashar Bashir

    (Department of Civil Engineering, College of Engineering, King Saud University, P.O.Box 800, Riyadh 11421, Saudi Arabia)

  • Gafar Almhamad

    (Institute of Management and Organization Sciences, Debrecen University, 4032 Debrecen, Hungary)

  • Omar Hijazi

    (Chair of Wood Science, Technical University of Munich, 85354 Freising, Germany)

  • Mona Maze

    (Central Laboratory for Agricultural Climate (CLAC), Agricultural Research Center, Giza 12613, Egypt)

  • Ahmed Elbeltagi

    (Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, Egypt)

  • Abdullah Alsalman

    (Department of Civil Engineering, College of Engineering, King Saud University, P.O.Box 800, Riyadh 11421, Saudi Arabia)

  • Glory O. Enaruvbe

    (African Regional Institute for Geospatial Information Science and Technology, Obafemi Awolowo University, Ile-Ife 220282, Nigeria)

  • Safwan Mohammed

    (Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Utilization, Technology and Regional Development, University of Debrecen, Böszörményi Str. 138, 4032 Debrecen, Hungary)

  • Szilárd Szabó

    (Department of Physical Geography and Geoinformatics, University of Debrecen, Egyetem tér 1, 4032 Debrecen, Hungary)

Abstract

Climate mitigation and adaptation planning (CMAP) has recently been implemented across the EU-28 to reduce GHG emissions (CO 2 , CH 4 , N 2 O). Thus, the aim of this study was to provide an overview of GHG emissions from the agricultural sector in the EU-28 from 1990 to 2019, and cluster the EU-28 countries regarding their total GHG emissions. The results emphasize the positive impact of CMAP through a negative trend of the total GHG emissions (−2653.01 thousand tons/year, p < 0.05). Despite the positive and not significant trend of the total CO 2 emissions, both CH 4 and N 2 O exhibited a negative and significant trend. At the country scale, Italy, the United Kingdom, and the Netherlands showed the highest reduction in total GHG emissions, by −282.61thousand tons/year ( p < 0.05), −266.40 thousand tons/year ( p < 0.05), and −262.91 thousand tons/year ( p < 0.05), respectively. The output of the multivariate analysis approach indicates changes in the pattern of GHG emissions between 1990 and 2019, where CO 2 emissions decreased in the case of Poland and Czechia. The output of this study highlights the positive impact of CMAP, adopted by EU countries, in minimizing GHG emissions. Despite some fluctuations in CO 2 emissions, strategies for attaining carbon neutrality in the agricultural sector, across the European Union, should be pursued.

Suggested Citation

  • Endre Harsányi & Bashar Bashir & Gafar Almhamad & Omar Hijazi & Mona Maze & Ahmed Elbeltagi & Abdullah Alsalman & Glory O. Enaruvbe & Safwan Mohammed & Szilárd Szabó, 2021. "GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach," Energies, MDPI, vol. 14(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6495-:d:653264
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    1. Tomasz Rokicki & Aleksandra Perkowska & Bogdan Klepacki & Piotr Bórawski & Aneta Bełdycka-Bórawska & Konrad Michalski, 2021. "Changes in Energy Consumption in Agriculture in the EU Countries," Energies, MDPI, vol. 14(6), pages 1-21, March.
    2. Rösemann, Claus & Haenel, Hans-Dieter & Vos, Cora & Dämmgen, Ulrich & Döring, Ulrike & Wulf, Sebastian & Eurich-Menden, Brigitte & Freibauer, Annette & Döhler, Helmut & Schreiner, Carsten & Osterburg,, 2021. "Calculations of gaseous and particulate emissions from German agriculture 1990 - 2019: Report on methods and data (RMD) Submission 2021 [Berechnung von gas- und partikelförmigen Emissionen aus der ," Thünen Reports 84, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    3. Piotr Gołasa & Marcin Wysokiński & Wioletta Bieńkowska-Gołasa & Piotr Gradziuk & Magdalena Golonko & Barbara Gradziuk & Agnieszka Siedlecka & Arkadiusz Gromada, 2021. "Sources of Greenhouse Gas Emissions in Agriculture, with Particular Emphasis on Emissions from Energy Used," Energies, MDPI, vol. 14(13), pages 1-20, June.
    4. Tongwane, Mphethe Isaac & Moeletsi, Mokhele Edmond, 2018. "A review of greenhouse gas emissions from the agriculture sector in Africa," Agricultural Systems, Elsevier, vol. 166(C), pages 124-134.
    5. Hanqin Tian & Rongting Xu & Josep G. Canadell & Rona L. Thompson & Wilfried Winiwarter & Parvadha Suntharalingam & Eric A. Davidson & Philippe Ciais & Robert B. Jackson & Greet Janssens-Maenhout & Mic, 2020. "A comprehensive quantification of global nitrous oxide sources and sinks," Nature, Nature, vol. 586(7828), pages 248-256, October.
    6. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    7. Bartłomiej Bajan & Joanna Łukasiewicz & Aldona Mrówczyńska-Kamińska, 2021. "Energy Consumption and Its Structures in Food Production Systems of the Visegrad Group Countries Compared with EU-15 Countries," Energies, MDPI, vol. 14(13), pages 1-24, July.
    8. Eleni Zafeiriou & Ioannis Mallidis & Konstantinos Galanopoulos & Garyfallos Arabatzis, 2018. "Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    9. Basto, Mário & Pereira, José Manuel, 2012. "An SPSS R-Menu for Ordinal Factor Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 46(i04).
    10. Elkhan Richard Sadik-Zada & Mattia Ferrari, 2020. "Environmental Policy Stringency, Technical Progress and Pollution Haven Hypothesis," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    11. Ann Dale & John Robinson & Leslie King & Sarah Burch & Rob Newell & Alison Shaw & Francois Jost, 2020. "Meeting the climate change challenge: local government climate action in British Columbia, Canada," Climate Policy, Taylor & Francis Journals, vol. 20(7), pages 866-880, July.
    12. Margherita Masi & Yari Vecchio & Gregorio Pauselli & Jorgelina Di Pasquale & Felice Adinolfi, 2021. "A Typological Classification for Assessing Farm Sustainability in the Italian Bovine Dairy Sector," Sustainability, MDPI, vol. 13(13), pages 1-14, June.
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