Economic and Technical Efficiency Aspects of Biogas Production for Farm Waste Processing: Case of Slovakia Agriculture

Peter Bielik

Faculty of Economics and Entrepreneurship, Pan European University, Tomášikova 20, 821 02 Bratislava, Slovakia

Izabela Adamickova

Faculty of Economics and Management, Slovak University of Agriculture in Nitra, Trieda Andreja Hlinku 2, 949 76 Nitra, Slovakia

Erik Sandor

Faculty of Economics and Entrepreneurship, Pan European University, Tomášikova 20, 821 02 Bratislava, Slovakia

Stefaniia Belinska

Grant Thornton Audit s.r.o., Hodžovo námestie 1/A, 811 06 Bratislava, Slovakia

Janina Belinska

International Economic Relations Department, State Tax University, 31 Universytetska St, 08200 Irpin, Ukraine

DOI: https://doi.org/10.36956/rwae.v7i3.2710

Received: 8 September 2025 | Revised: 23 December 2025 | Accepted: 15 January 2026 | Published Online: 7 August 2026

Copyright © 2026 Peter Bielik, Izabela Adamickova, Erik Sandor, Stefaniia Belinska, Janina Belinska. Published by Nan Yang Academy of Sciences Pte. Ltd.

Creative Commons LicenseThis is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.


Abstract

The article focuses on evaluating both the economic and technical efficiency of biogas plants that are designed to process agricultural waste and farm by-products. The primary aim is to provide a comprehensive assessment of economic performance, applied technological solutions, and different capacity configurations, while also examining their influence on biogas production efficiency and investment payback periods. The study compares various fermentation technologies, analyses the characteristics of input substrates, and explores optimization strategies aimed at maximizing energy output. Economic and technical efficiency is understood as the ability of a biogas plant to utilize available resources in the most effective way to produce energy and other outputs. To improve the allocation of agricultural land used for biomass production, the research applies the methodology of technical efficiency frontiers. This approach helps identify optimal production combinations. Furthermore, correlation and regression analysis are used to measure the relationship between farm income and selected variables, allowing the identification of the most influential factors affecting financial performance.Sensitivity analysis is also conducted to examine how key economic indicators, such as yields, Net Present Value (NPV), and Internal Rate of Return (IRR), respond to changes in input parameters. The results emphasize the crucial determinants of profitability and highlight the role of biogas plants in supporting sustainable agricultural development.

Keywords: Biogas Plant; Agricultural Waste; Techno-Economic Analysis; Bioenergy; Sustainable Agriculture; Input and Output Prices; Operating Investment Costs; Bioeconomy


References

[1] Camanho, A.S., Silva, M.C., Piran, F.S., et al., 2024. A Literature Review of Economic Efficiency Assessments Using Data Envelopment Analysis. European Journal of Operational Research. 315(1), 1–18. DOI: https://doi.org/10.1016/j.ejor.2023.07.027

[2] Popp, J., Kovács, S., Oláh, J., et al., 2021. Bioeconomy: Biomass and biomass-based energy supply and demand. New Biotechnology. 60, 76–84.

[3] Hauptvogl, M., Fehér, A., Prčík, M., et al., 2022. Bioenergy Potential of Agricultural Phytomass Production in Slovakia. Ecocycles. 8(1), 16–26.

[4] Gordon, J.A., Balta-Ozkan, N., Nabavi, S.A., 2023. Price promises, trust deficits and energy justice: Public perceptions of hydrogen homes. Renewable and Sustainable Energy Reviews. 188, 113810. DOI: https://doi.org/10.1016/j.rser.2023.113810

[5] García-Cornejo, B., Pérez-Méndez, J.A., Roibás, D., et al., 2020. Efficiency and Sustainability in Farm Diversification Initiatives in Northern Spain. Sustainability. 12(10), 3983. DOI: https://doi.org/10.3390/su12103983

[6] Zlateva, P., Terziev, V., Murzova, M., et al., 2025. Research on the Efficiency of Solid Biomass Fuels and Consumer Preferences in Bulgaria. Fuels. 6(1), 17. DOI: https://doi.org/10.3390/fuels6010017

[7] European Commission, Directorate-General for Research and Innovation, 2022. EU Bioeconomy Strategy Progress Report—European Bioeconomy Policy: Stocktaking and Future Developments. European Union: Brussels, Belgium. Available from: https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=celex:52022SC0162

[8] European Commission, Directorate-General for Research and Innovation, 2018. A Sustainable Bioeconomy for Europe—Strengthening the Connection between Economy, Society and the Environment: Updated Bioeconomy Strategy. Publications Office of the European Union: Luxembourg, Luxembourg. Available from: https://op.europa.eu/en/publication-detail/-/publication/edace3e3-e189-11e8-b690-01aa75ed71a1/language-en

[9] Kaletsnik, G., Pryshliak, N., Tokarchuk, D., 2021. Potential of Production of Energy Crops in Ukraine and Their Processing on Solid Biofuels. Ecological Engineering & Environmental Technology. 22(3), 59–70. DOI: https://doi.org/10.12912/27197050/135447

[10] OECD, 2023 Framework for the Evaluation of SME and Entrepreneurship Policies and Programmes. OECD Publishing: Paris, France. DOI: https://doi.org/10.1787/a4c818d1-en

[11] FAO, 2022. Bioeconomy for Sustainable Food and Agriculture. FAO: Rome, Italy.

[12] Von Braun, J., 2024. Bioeconomy – The global trend and its implications for sustainability and food security. Global Food Security. 19, 81–83. DOI: https://doi.org/10.1016/j.gfs.2018.10.003

[13] Blanc-Betes, E., Kantola, I.B., Gomez-Casanovas, N., et al., 2020. In silico assessment of the potential of basalt amendments to reduce N2O emissions from bioenergy crops. GCB Bioenergy. 13(1), 224–241. DOI: https://doi.org/10.1111/gcbb.12757

[14] European Commission Joint Research Centre, 2023. Biomass Supply and Uses in the EU. Publications Office of the European Union: Luxembourg, Luxembourg.

[15] Koval, V., Mikhno, I., Hajduga, G., et al., 2019. Economic Efficiency of Biogas Generation from Food Product Waste. E3S Web of Conferences. 100, 00039.

[16] Mankiw, N.G., 2024. Principles of Economics, 10th ed. Cengage Learning: Boston, MA, USA.

[17] Brown, T.A., 2015. Confirmatory Factor Analysis for Applied Research, 2nd ed. Guilford Press: New York, NY, USA.

[18] Creswell, J.W., Plano-Clark, V.L., 2010. Designing and Conducting Mixed Methods Research, 2nd ed. SAGE: Thousand Oaks, CA, USA.

[19] Hesse-Biber, S., 2010. Mixed Methods Research: Merging Theory with Practice. Guilford Press: New York, NY, USA.

[20] Preiser, R., Biggs, R., De Vos, A., et al., 2018. Social-ecological systems as complex adaptive systems: organizing principles for advancing research methods and approaches. Ecology and Society. 23(4), 46. DOI: https://doi.org/10.5751/ES-10558-230446

[21] Kline, R.B., 2023. Principles and Practice of Structural Equation Modeling, 5th ed. Guilford Press: New York, NY, USA.

[22] Hu, L.T., Bentler, P.M., 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 6(1), 1–55. DOI: https://doi.org/10.1080/10705519909540118

[23] Statistical Office of the Slovak Republic. Available from: https://slovak.statistics.sk/wps/portal/ext/home (cited 20 December 2025).

[24] Beninga, S., 2014. Financial Modeling, 4th ed. MIT Press: Cambridge, MA, USA.

[25] Gutsalenko, Y.G., 2016. Diamond-Spark Grinding of High Functionality Materials. Cursor, NTU “KhPI”: Kharkov, Ukraine. Available from: https://web.kpi.kharkov.ua/cutting/wp-content/uploads/sites/143/2016/12/M2243e-monografiya2016.pdf (in Russian)

[26] Faaij, A.P.C., 2016. Bioenergy in Europe: Changing Technology Choices. Energy Policy. 34(3), 322–342. DOI: https://doi.org/10.1016/j.enpol.2004.03.026

[27] Edwards, J.A., Johnson, C., Santos-Medellín, C., et al., 2015. Structure, Variation, and Assembly of the Root-Associated Microbiomes of Rice. Proceedings of the National Academy of Sciences. 112(8), E911–E920. DOI: https://doi.org/10.1073/pnas.1414592112

[28] World Bank, 2020. Handbook on Economic Analysis of Investment Operations. World Bank Group: Washington, DC, USA.

Online ISSN: 2737-4785, Print ISSN: 2737-4777, Published by Nan Yang Academy of Sciences Pte. Ltd.