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Measuring GHG Emissions Across the Agri-Food Sector Value Chain: The Development of BIO - a Bio-economy Input- Output Model

Author

Listed:
  • O’Donoghue, Cathal
  • Chyzheuskaya, Aksana
  • Grealis, Eoin
  • Finnegan, William
  • Goggin, Jamie
  • Hynes, Stephen
  • Kilcline, Kevin
  • Ryan, Mary
Abstract
Sustainable intensification is one of the greatest challenges facing the agri-food sector which needs to produce more food to meet increasing global demand, while minimising negative environmental impacts such as agricultural greenhouse gas (GHG) emissions. Sustainable intensification relates not just to primary production, but also has wider value chain implications. An input-output model is a modelling framework which contains the flows across a value chain within a country. Input-output (IO) models have been disaggregated to have finer granular detail in relation to agricultural sub-sectoral value chains. National IO models with limited agricultural disaggregation have been developed to look at carbon footprints and within agriculture to look at the carbon footprint of specific value chains. In this paper we adapt an agriculturally disaggregated IO model to analyse the source of emissions in different components of agri-food value chains. We focus on Ireland, where emissions from agriculture comprise nearly 30% of national emissions and where there has been a major expansion and transformation in agriculture since the abolition of milk quota restrictions. In a substantial Annex to this paper, we describe the modelling assumptions made in developing this model. Breaking up the value chain into components, we find that most value is generated at the processing stage of the value chain, with greater processing value in more sophisticated value chains such as dairy processing. On the other hand, emissions are in general highest in primary production, albeit emissions from purchased animal feed being higher for poultry than for other value chains, given the lower direct emissions from poultry than from ruminants or sheep. The analysis highlights that emissions per unit of output are much higher for beef and sheep meat value chains than for pig and poultry meat value chains.

Suggested Citation

  • O’Donoghue, Cathal & Chyzheuskaya, Aksana & Grealis, Eoin & Finnegan, William & Goggin, Jamie & Hynes, Stephen & Kilcline, Kevin & Ryan, Mary, 2018. "Measuring GHG Emissions Across the Agri-Food Sector Value Chain: The Development of BIO - a Bio-economy Input- Output Model," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276856, International European Forum on System Dynamics and Innovation in Food Networks.
    • Handle: RePEc:ags:iefi18:276856
    DOI: 10.22004/ag.econ.276856
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    References listed on IDEAS

    as
    1. Jörg Beutel, 1983. "Interregional Analysis Of Energy Flows," Papers in Regional Science, Wiley Blackwell, vol. 53(1), pages 83-104, January.
    2. Manfred Lenzen & Lise-Lotte Pade & Jesper Munksgaard, 2004. "CO2 Multipliers in Multi-region Input-Output Models," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 391-412.
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    Cited by:

    1. Tsakiridis, Andreas & O’Donoghue, Cathal & Hynes, Stephen & Kilcline, Kevin, 2020. "A Comparison of Environmental and Economic Sustainability across Seafood and Livestock Product Value Chains," Working Papers 309507, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    2. Xun Wei & Jie Luo & Aqing Pu & Qianqian Liu & Lei Zhang & Suowei Wu & Yan Long & Yan Leng & Zhenying Dong & Xiangyuan Wan, 2022. "From Biotechnology to Bioeconomy: A Review of Development Dynamics and Pathways," Sustainability, MDPI, vol. 14(16), pages 1-17, August.

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    Keywords

    Agribusiness; Agricultural and Food Policy; Agricultural Finance;
    All these keywords.

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