Carbon footprint for farms in the Czech Republic: a benchmark-based assessment
Status In-Process Language English Country Great Britain, England Media print-electronic
Document type Journal Article
Grant support
Charles University Cooperatio Program
PubMed
40351241
PubMed Central
PMC12355336
DOI
10.1002/jsfa.14368
Knihovny.cz E-resources
- Keywords
- Czech Republic, GHG emissions, agricultural farms, benchmarking, carbon footprint (CF),
- Publication type
- Journal Article MeSH
BACKGROUND: Climate change is a pressing environmental and social challenge that demands effective monitoring of greenhouse gas (GHG) emissions. One widely adopted approach for this is quantifying the carbon footprint (CF). Given that agriculture is a major contributor to GHG emissions, we have developed a comprehensive framework for CF accounting at the farm level. This framework has been tested on 12 farms in the Czech Republic to assess both data availability and calculation accuracy. RESULTS: Our study examines how various farm characteristics, such as turnover, land area and number of employees, influence the overall CF and enable meaningful comparisons between farms. We found that absolute farm CFs are significantly influenced by the size effect, making them unsuitable for benchmarking purposes. By contrast, relative farm CFs (per turnover, per area and per employee) are not affected by the size effect, but can be affected by a scale effect. Additionally, we investigated whether a focus on animal husbandry leads to higher relative CFs. By calculating the share of animal husbandry (SoAH) in farm operations, we discovered a significant correlation between SoAH and relative CFs, with the strongest correlation observed for CF per turnover (0.87). CONCLUSION: We argue that farms with high shares of SoAH are unlikely to reduce their relative CFs to the levels of farms with zero or low SoAH. We therefore propose applying benchmarking to farms with similar SoAH. We also propose that further research should focus on defining and validating relevant reference values, comprising a benchmark set that reflects different farm types. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Charles University Environment Centre Prague 6 Czech Republic
CI3 s r o Prague 2 Czech Republic
CleverFarm a s Brno Czech Republic
Faculty of Humanities Charles University Prague 8 Czech Republic
Faculty of Science Charles University Prague 2 Czech Republic
See more in PubMed
Wuebbles DJ and Jain AK, Concerns about climate change and the role of fossil fuel use. Fuel Process Technol 71:99–119 (2001).
Steffen W, Rockström J, Richardson K, Lenton TM, Folke C, Liverman D PubMed PMC
Dietz T, Shwom RL and Whitley CT, Climate change and society. Annu Rev Sociol 46:135–158 (2020).
Wiedmann T and Minx J, A definition of ‘carbon footprint’. Ecological Economics Res Tre 1:1–11 (2008).
Harangozo G and Szigeti C, Corporate carbon footprint analysis in practice—with a special focus on validity and reliability issues. J Clean Prod 167:1177–1183 (2017).
Adewale C, Reganold JP, Higgins S, Evans RD and Carpenter‐Boggs L, Agricultural carbon footprint is farm specific: case study of two organic farms. J Clean Prod 229:795–805 (2019).
Baldoni E, Coderoni S and esposti R, The complex farm‐level relationship between environmental performance and productivity: the case of carbon footprint of Lombardy farms. Environ Sci Foreign Policy 89:73–82 (2018). 10.1016/j.envsci.2018.07.010. DOI
Holka M, Kowalska J and Jakubowska M, Reducing carbon footprint of agriculture—can organic farming help to mitigate climate change? Agri 12:1383 (2022).
IPCC , 2006 IPCC guidelines for National Greenhouse gas Inventories. Institute for Global Environmental Strategies (IGES), Hayama: (2006).
Keller E, Chin M, Chorkulak V, Clift R, Faber Y, Lee J
Peter C, Helming K and Nendel C, Do greenhouse gas emission calculations from energy crop cultivation reflect actual agricultural management practices? A review of carbon footprint calculators. Renew Sust Energ Rev 67:461–476 (2017).
World Resources Institute and the World Business Council for Sustainable Development , GHG Protocol Agricultural Guidance. World Resources Institute, Washington, D C: (2016).
Czech Hydrometeorological Institute , National Greenhouse Gas Inventory Report of The Czech Republic. Czech Hydrometeorological Institute, Prague: (2023).
Department for Energy Security and Net Zero and Department for Environment Food & Rural Affairs , Greenhouse gas reporting: Conversion factors 2023 (2023). [cited November 2023]; Available from: https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2023.
Haddaway NR, Headlund K, Jackson LE, Kätterer T, Lugato E, Thomsen IK
Ecoinvent , National life cycle inventory database Ecoinvent, data v3.8 (2021). [cited November 2023]; Available from: http://www.ecoinvent.ch/.
Czech National Bank , Foreign Exchange Rates. Czech National Bank, Prague: (2024) [cited May 2024]; Available from: https://www.cnb.cz/cs/financni-trhy/devizovy-trh/kurzy-devizoveho-trhu/kurzy-devizoveho-trhu/prumerne_rok.html?rok=2022.
Al‐Mansour F and Jejcic V, A model calculation of the carbon footprint of agricultural products: the case of Slovenia. Energy 136:7–15 (2017).
Ho JA, Calculation of the carbon footprint of Ontario wheat. SURG J 4:49–55 (2011).
Yan J and Zhang Y, Quantitative assessment, spatial and temporal characteristics, and dynamic evolution of carbon emissions from animal husbandry in China: 2001–2020. Environ Sci Pollut Res 30:116186–116201 (2023). PubMed
Moldan B, Janoušková S and Hák T, How to understand and measure environmental sustainability: indicators and targets. Ecol Indic 17:4–13 (2012).
de Snoo GR, Benchmarking the environmental performances of farms. Int J Life Cycle Assess 11:22–25 (2006).
Silberston A, Economies of scale in theory and practice. Econ J 82:369–391 (1972).
Arunrat N, Pumijumnong N, Sereenonchai S, Chareonwong U and Wang C, Comparison of GHG emissions and farmers' profit of large‐scale and individual farming in rice production across four regions of Thailand. J Clean Prod 278:123945 (2021).
Wang L, Tang J, Tang M, Su M and Guo L, Scale of operation, financial support, and agricultural green total factor productivity: evidence from China. Int J Environ Res Public Health 19:9043 (2022). PubMed PMC
Smil V, Energy and Civilization: A History. MIT Press, Cambridge: (2018).
Johnson RA and Wichern DW, Applied Multivariate Statistical Analysis, 6th edn. Pearson Education, Inc., Upper Saddle River: (2007).
Palangi V and Lackner M, Management of enteric methane emissions in ruminants using feed additives: a review. Animals 12:3452 (2022). PubMed PMC
Brown R, Dillon CR, Schieffer J and Shockley JM, The carbon footprint and economic impact of precision agriculture technology on a corn and soybean farm. J Environ Econ Policy 5:335–348 (2016).
European Commission , Climate‐friendly alternatives to HFCs. European Commission, Brussels: (2024) [cited May 2024]; Available from: https://climate.ec.europa.eu/eu‐action/fluorinated‐greenhouse‐gases/climate‐friendly‐alternatives‐hfcs_en.
Agovino M, Casaccia M, Ferrara M and Marchesano K, Agriculture, climate change and sustainability: the case of EU‐28. Ecol Indic 105:525–543 (2019).
Hermansen JE and Kristensen T, Management options to reduce the carbon footprint of livestock products. Anim Front 1:33–39 (2011).