Abstract
Greenhouse gas emissions of anthropogenic origin, including those from the food production system, are considered one of the main reasons for global climate warming, so many measures are being taken to reduce them. After joining the European Union, the Visegrad Group countries are obliged to monitor and report the level of greenhouse gas emissions, which is also closely related to the level and structure of energy consumption. According to the International Energy Agency estimates, 75% of greenhouse gas emissions in the European Union are related to energy production or use. High food productivity brings with it energy-intensive solutions that increase emissions. It is also important that tackling climate change is not a barrier to increased food production. In this context, the lowest possible emission intensity of the food production system, understood as the amount of greenhouse gas emissions per unit of production or gross value added, should be sought. The study aimed to calculate the emission intensity of food production systems in the Visegrad countries in 2010-2016. The emission intensity of agribusiness greenhouse gases was calculated as the emissions forfeited per unit of output and gross value added. The paper uses the author's methods, which are consistent with each other, for calculating agribusiness production and income, as well as greenhouse gas emissions from the food production system. Data from input-output tables and, consistent with these tables, environmental accounts published on Eurostat's website were used to calculate these quantities. During the period under review, the GHG intensity index decreased in Visegrad countries despite an overall increase in emissions of primary greenhouse gases from food production. However, these changes are minor, mainly due to the short analysis period. However, further growth in food production may not contribute to an increase in the level of greenhouse gas emissions. Financing pro-environmental investments at all stages of food production will be key in this regard. Further research in this area, using the methodology presented in this article, will make it possible to compare the results obtained with those calculated from more recent data. This will make it possible to capture the impact of, for example, the European Green Deal and the financing of pro-environmental investments in the agribusiness of the Visegrad Group countries.
References
Abbas, A., Waseem, M., & Yang, M. (2020). An ensemble approach for assessment of energy efficiency of agriculture system in Pakistan. Energy Efficiency, 13, 683-696. https://doi.org/10.1007/s12053-020-09845-9
Aydoğan, B., & Vardar, G. (2020). Evaluating the role of renewable energy, economic growth and agri-culture on CO2 emission in E7 countries. International Journal of Sustainable Energy, 39(4), 335-348. https://doi.org/10.1080/14786451.2019.1686380
Baer-Nawrocka, A., & Mrówczyńska-Kamińska, A. (2019). Material and import intensity in the agri-culture of the European Union–input-output analysis. Problems of Agricultural Economics, 358(1), 3-21. https://doi.org/10.30858/zer/104514
Baer-Nawrocka, A., & Sadowski, A. (2019). Food security and food self-sufficiency around the world: A typology of countries. PloS ONE, 14(3), e0213448. https://doi.org/10.1371/journal.pone.0213448
Bajan, B., & Mrówczyńska-Kamińska, A. (2020). Supply of Materials to the Agribusiness Sector of Eu-ropean Union Countries. Problems of World Agriculture, 20(35), 15-24. https://doi.org/10.22004/ag.econ.303823
Bajan, B., Łukasiewicz, J., & Mrówczyńska-Kamińska, A. (2021). Energy consumption and its structures in food production systems of the visegrad group countries compared with EU-15 countries. Energies, 14(13), 3945. https://doi.org/10.3390/en14133945
Camanzi, L., Alikadic, A., Compagnoni, L., & Merloni, E. (2017). The impact of greenhouse gas emissions in the EU food chain: A quantitative and economic assessment using an environmentally ex-tended input-output approach. Journal of Cleaner Production, 157, 168-176. https://doi.org/10.1016/j.jclepro.2017.04.118
Clark, M., & Tilman, D. (2017). Comparative analysis of environmental impacts of agricultural produc-tion systems, agricultural input efficiency, and food choice. Environmental Research Letters, 12(6), 064016. https://iopscience.iop.org/article/10.1088/1748-9326/aa6cd5/pdf
Copernicus Climate Change Service. (2023). 2022 saw record temperatures in Europe and across the world. 2022 saw record temperatures in Europe and across the world | Copernicus
Corsatea, T. D., Lindner, S., Arto, I., Román, M. V., Rueda-Cantuche, J. M., Velázquez Afonso, A., ... & Neu-wahl, F. (2019). World input-output database environmental accounts: update 2000-2016. https://data.europa.eu/doi/10.2760/024036
Creutzig, F., Bren d’Amour, C., Weddige, U., Fuss, S., Beringer, T., Glaser, A., Kalkuhl, M., Steckel, J. C., Radebach, A., & Edenhofer, O. (2019). Assessing human and environmental pressures of global land-use change 2000-2010. Global Sustain, 2, e1. https://doi.org/10.1017/sus.2018.15
de Jesus Pereira, B., Cecilio Filho, A. B., & La Scala, N. Jr. (2021). Greenhouse gas emissions and carbon footprint of cucumber, tomato and lettuce production using two cropping systems. Journal of Cleaner Production, 282, 124517. https://doi.org/10.1016/j.jclepro.2020.124517
European Commission. (2020). Commission Staff Working Document: Analysis of links between CAP Reform and Green Deal. https://agriculture.ec.europa.eu/document/download/b9e717de-582e-4f55-9492-489f475dbacf_en
European Court of Auditors. (2021). Common Agricultural Policy and Climate: Half of EU Climate Spending but Farm Emissions Are Not Decreasing.
Fróna, D., Szenderák, J., & Harangi-Rákos, M. (2019). The challenge of feeding the world. Sustainability, 11(20), 5816. https://doi.org/10.3390/su11205816
Gao, J., Yan, Y., Hou, X., Liu, X., Zhang, Y., Huang, S., & Wang, P. (2021). Vertical distribution and seasonal variation of soil moisture after drip-irrigation affects greenhouse gas emissions and maize production during the growth season. Science of The Total Environment, 763, 142965. https://doi.org/10.1016/j.scitotenv.2020.142965
Garnett, T. (2011). Where are the best opportunities for reducing greenhouse gas emissions in the food system (including the food chain)? Food Policy, 36(1), 23-32. https://doi.org/10.1016/j.foodpol.2010.10.010
Gillman, M. (2021). Macroeconomic Trends among Visegrád Countries, EU Balkans, and the US, 1991-2021. Central European Business Review, 10(2), 1-20. https://doi.org/10.18267/j.cebr.282
Gkisakis, V. D., Volakakis, N., Kosmas, E., & Kabourakis, E. M. (2020). Developing a decision support tool for evaluating the environmental performance of olive production in terms of energy use and greenhouse gas emissions. Sustainable Production and Consumption, 24, 156-168. https://doi.org/10.1016/j.spc.2020.07.003
Gołasa, P., Wysokiński, M., Bieńkowska-Gołasa, W., Gradziuk, P., Golonko, M., Gradziuk, B., ... & Gromada, A. (2021). Sources of greenhouse gas emissions in agriculture, with particular emphasis on emissions from energy used. Energies, 14(13), 3784. https://doi.org/10.3390/en14133784
Han, M., Zhang, B., Zhang, Y., & Guan, C. (2019). Agricultural CH4 and N2O emissions of major econo-mies: Cosumption-vs. production-based perspectives. Journal of Cleaner Production, 210, 276-286. https://doi.org/10.1016/j.jclepro.2018.11.018
Harsányi, E., Bashir, B., Almhamad, G., Hijazi, O., Maze, M., Elbeltagi, A., ... & Szabó, S. (2021). GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach. Ener-gies, 14(20), 6495. https://doi.org/10.3390/en14206495
Khan, A., Tan, D. K. Y., Munsif, F., Afridi, M. Z., Shah, F., Wei, F., Fahad, S., & Zhou, R. (2017). Nitrogen nutrition in cotton and control strategies for greenhouse gas emissions: a review. Environ-mental Science and Pollution Research, 24, 23471-23487. https://doi.org/10.1007/s11356-017-0131-y
KOBiZE. (2018). Poland’s National Inventory Report. Greenhouse Gas Inventory for 1988-2016. https://www.kobize.pl/uploads/materialy/materialy_do_pobrania/krajowa_inwentaryzacja_emisji/NIR_2018_POL_May.PDF (in Polish).
Masi, M., Vecchio, Y., Pauselli, G., Di Pasquale, J., & Adinolfi, F. (2021). A typological classification for assessing farm sustainability in the Italian bovine dairy sector. Sustainability, 13(13), 7097. https://doi.org/10.3390/su13137097
Mrówczyńska-Kamińska, A., Bajan, B., Pawłowski, K. P., Genstwa, N., & Zmyślona, J. (2021). Green-house gas emissions intensity of food production systems and its determinants. Plos ONE, 16(4), e0250995. https://doi.org/10.1371/journal.pone.0250995
Naudé, W., Surdej, A., & Cameron, M. (2019). The Past and Future of Manufacturing in Central and Eastern Europe: Ready for Industry 4.0? IZA Discussion Papers, 12141. https://ideas.repec.org/p/iza/izadps/dp12141.html
NDC Partnership. (2024). FAOSTAT Emissions Totals Database. https://ndcpartnership.org/knowledge-portal/climate-toolbox/faostat-emissions-totals-databa-se#:~:text=FAOSTAT%20contains%20and%20makes%20available%20for%20download%20country,and%20land%20use%20emissions%2C%20and%2012%20topical%20sub-domains
Our World in Data. (2022). Environmental Impacts of Food Production. https://ourworldindata.org/environmental-impacts-of-food)
Pao, H.-T., & Tsai, C.-M. (2011). Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil. Energy, 36(5), 2450-2458. https://doi.org/10.1016/j.energy.2011.01.032
Pierrehumbert, R. T. (2005). Climate dynamics of a hard snowball Earth. Journal of Geophysical Re-search: Atmospheres, 110(D1), 148-227. https://doi.org/10.1029/2004JD005162
Poore, J., & Nemecek, T. (2018). Reducing food’s environmental impacts through producers and consumers. Science, 360(6392), 987-992.
Popp, A., Lotze-Campen, H., & Bodirsky, B. (2010). Food consumption, diet shifts and associated non-CO2 greenhouse gases from agricultural production. Global Environmental Change, 20(3), 451-462. https://doi.org/10.1016/j.gloenvcha.2010.02.001
Remond-Tiedrez, I., & Rueda-Cantuche, J. M. (2019). Full International and Global Accounts for Research in Input-Output Analysis (FIGARO). https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.20/2015/July/Item_5_UNECE_European_full_International_and_Global_Accounts_for_Research_in_Input-Output_Analysis_FIGARO.pdf
Schmidt, A. (2016). Friends forever? The role of the Visegrad Group and European integration. Politics in Central Europe, 12(3), 113-140. https://doi.org/10.1515/pce-2016-0019
Schneider, U. A., & Smith, P. (2009). Energy intensities and greenhouse gas emission mitigation in global agriculture. Energy Efficiency, 2, 195-206. https://doi.org/10.1007/s12053-008-9035-5
Searchinger, T. D., Wirsenius, S., Beringer, T., & Dumas, P. (2018). Assessing the efficiency of changes in land use for mitigating climate change. Nature, 564, 249-253. https://doi.org/10.1038/s41586-018-0757-z
Senyolo, M. P., Long, T. B., Blok, V., & Omta, O. (2018). How the characteristics of innovations impact their adoption: An exploration of climate-smart agricultural innovations in South Africa. Journal of Cleaner Production, 172, 3825-3840. https://doi.org/10.1016/j.jclepro.2017.06.019
Śmiech, S., & Papież, M. (2014). Energy consumption and economic growth in the light of meeting the targets of energy policy in the EU: The bootstrap panel Granger causality approach. Energy Pol-icy, 71, 118-129. https://doi.org/10.1016/j.enpol.2014.04.005
Stern, D. I., Common, M. S., & Barbier, E. B. (1996). Economic growth and environmental degradation: the environmental Kuznets curve and sustainable development. World Development, 24(7), 1151-1160. https://doi.org/10.1016/0305-750X(96)00032-0
Strauss, S., Rupp, S., & Love, T. (2016). Cultures of energy: Power, practices, technologies. London: Routledge.
Szabo, L., Grznar, M., & Zelina, M. (2018). Agricultural performance in the V4 countries and its position in the European Union. Agricultural Economics, 64(8), 337-346. https://doi.org/10.17221/397/2016-AGRICECON
Szuba-Barańska, E., Poczta, W., & Mrówczyńska-Kamińska, A. (2020). Rozwój agrobiznesu państw Eu-ropy Środkowo-Wschodniej po przystąpieniu do Unii Europejskiej. Poznań: Wydawnictwo UP. (in Polish).
Tang, C. F., & Tan, B. W. (2015). The impact of energy consumption, income and foreign direct invest-ment on carbon dioxide emissions in Vietnam. Energy, 79, 447-454. https://doi.org/10.1016/j.energy.2014.11.033
Tubiello, F. N., Cóndor-Golec, R. D., Salvatore, M., Piersante, A., Federici, S., Ferrara, A., ... & Prosperi, P. (2014). Estimating greenhouse gas emissions in agriculture: a manual to address data require-ments for developing countries. Rome: Food and Agriculture Organization of the United Nations.
Wang, Z. B., Zhang, J. Z., & Zhang, L. F. (2019). Reducing the carbon footprint per unit of economic bene-fit is a new method to accomplish low-carbon agriculture. A case study: adjustment of the planting structure in Zhangbei County, China. Journal of the Science of Food and Agriculture, 99(11), 4889-4897. https://doi.org/10.1002/jsfa.9714
WIOD. (2016). Environmental Accounts - Update 2000-2016. https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release
Yan, Q., Yin, J., Baležentis, T., Makutėnienė, D., & Štreimikienė, D. (2017). Energy-related GHG emission in agriculture of the European countries: An application of the Generalized Divisia Index. Jour-nal of Cleaner Production, 164, 686-694. https://doi.org/10.1016/j.jclepro.2017.07.010
Zhao, R., Deutz, P., Neighbour, G., & McGuire, M. (2012). Carbon emissions intensity ratio: an indicator for an improved carbon labelling scheme. Environmental Research Letters, 7, 014014. https://doi.org/10.1088/1748-9326/7/1/014014

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright (c) 2025 Economics and Environment