IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i20p6495-d653264.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/20/6495/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/20/6495/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Arif & Zhang Chenghu & Judit Olah & Khurram Shehzad & Mahmood Ahmad, 2022. "Specifying the Domineering Role of Governance in the Long Term Environmental Excellence: A Case Study of Pakistan," SAGE Open, , vol. 12(3), pages 21582440221, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zbigniew Gołaś, 2022. "Changes in Energy-Related Carbon Dioxide Emissions of the Agricultural Sector in Poland from 2000 to 2019," Energies, MDPI, vol. 15(12), pages 1-18, June.
    2. Aryal, Jeetendra P., 2022. "Contribution of Agriculture to Climate Change and Low-Emission Agricultural Development in Asia and the Pacific," ADBI Working Papers 1340, Asian Development Bank Institute.
    3. Daiva Makutėnienė & Algirdas Justinas Staugaitis & Bernardas Vaznonis & Gunta Grīnberga-Zālīte, 2023. "The Relationship between Energy Consumption and Economic Growth in the Baltic Countries’ Agriculture: A Non-Linear Framework," Energies, MDPI, vol. 16(5), pages 1-22, February.
    4. Marcin Wysokiński & Bogdan Klepacki & Piotr Gradziuk & Magdalena Golonko & Piotr Gołasa & Wioletta Bieńkowska-Gołasa & Barbara Gradziuk & Paulina Trębska & Aleksandra Lubańska & Danuta Guzal-Dec & Ark, 2021. "Economic and Energy Efficiency of Farms in Poland," Energies, MDPI, vol. 14(17), pages 1-21, September.
    5. Eleni Zafeiriou & Spyridon Galatsidas & Garyfallos Arabatzis & Stavros Tsiantikoudis & Athanasios Batzios, 2023. "Environmental Degradation by Energy–Economic Growth Interlinkages in EU Agriculture," Energies, MDPI, vol. 16(9), pages 1-14, May.
    6. Piotr Gołasa & Wioletta Bieńkowska-Gołasa & Magdalena Golonko & Paulina Trębska & Piotr Gradziuk & Arkadiusz Gromada & Marcin Wysokiński, 2022. "Sensitivity of the Agribusiness Sector to Sudden Changes in the Prices of Energy Carriers on the Example of Poland: Current State and Challenges," Energies, MDPI, vol. 15(22), pages 1-10, November.
    7. Daiva Makutėnienė & Algirdas Justinas Staugaitis & Valdemaras Makutėnas & Dalia Juočiūnienė & Yuriy Bilan, 2022. "An Empirical Investigation into Greenhouse Gas Emissions and Agricultural Economic Performance in Baltic Countries: A Non-Linear Framework," Agriculture, MDPI, vol. 12(9), pages 1-22, August.
    8. Anna Murawska & Elżbieta Goryńska-Goldmann, 2023. "Greenhouse Gas Emissions in the Agricultural and Industrial Sectors—Change Trends, Economic Conditions, and Country Classification: Evidence from the European Union," Agriculture, MDPI, vol. 13(7), pages 1-25, July.
    9. Khatri-Chhetri, Arun & Sapkota, Tek B. & Maharjan, Sofina & Cheerakkollil Konath, Noufa & Shirsath, Paresh, 2023. "Agricultural emissions reduction potential by improving technical efficiency in crop production," Agricultural Systems, Elsevier, vol. 207(C).
    10. Daiva Makutėnienė & Dalia Perkumienė & Valdemaras Makutėnas, 2022. "Logarithmic Mean Divisia Index Decomposition Based on Kaya Identity of GHG Emissions from Agricultural Sector in Baltic States," Energies, MDPI, vol. 15(3), pages 1-26, February.
    11. Zofia Koloszko-Chomentowska & Leszek Sieczko & Roman Trochimczuk, 2021. "Production Profile of Farms and Methane and Nitrous Oxide Emissions," Energies, MDPI, vol. 14(16), pages 1-25, August.
    12. Johne, Clara & Schröder, Enno & Ward, Hauke, 2023. "The distributional effects of a nitrogen tax: Evidence from Germany," Ecological Economics, Elsevier, vol. 208(C).
    13. Aleksandra Jezierska-Thöle & Roman Rudnicki & Łukasz Wiśniewski & Marta Gwiaździńska-Goraj & Mirosław Biczkowski, 2021. "The Agri-Environment-Climate Measure as an Element of the Bioeconomy in Poland—A Spatial Study," Agriculture, MDPI, vol. 11(2), pages 1-19, February.
    14. Ya Li & Hanqin Tian & Yuanzhi Yao & Hao Shi & Zihao Bian & Yu Shi & Siyuan Wang & Taylor Maavara & Ronny Lauerwald & Shufen Pan, 2024. "Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    15. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    16. Carmen Díaz-Roldán & María del Carmen Ramos-Herrera, 2021. "Innovations and ICT: Do They Favour Economic Growth and Environmental Quality?," Energies, MDPI, vol. 14(5), pages 1-17, March.
    17. Jianyun Zhang & Xinxin Li & Lingying Pan, 2022. "Policy Effect on Clean Coal-Fired Power Development in China," Energies, MDPI, vol. 15(3), pages 1-18, January.
    18. Doppy Roy Nendissa & Atiek Iriany & Jeky Melkianus Sui & Nikmatul Khoiriyah & Onuma Suphattanakul & Worakamol Wisetsri, 2022. "The Role of Renewable and Nonrenewable Energy on Agricultural Economics in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 352-360, May.
    19. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    20. Tomasz Rokicki & Radosław Jadczak & Adam Kucharski & Piotr Bórawski & Aneta Bełdycka-Bórawska & András Szeberényi & Aleksandra Perkowska, 2022. "Changes in Energy Consumption and Energy Intensity in EU Countries as a Result of the COVID-19 Pandemic by Sector and Area Economy," Energies, MDPI, vol. 15(17), pages 1-26, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6495-:d:653264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.