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How Do Agricultural Biogas Investments Affect Czech Farms?

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  • Jindřich Špička

Abstract

The article aims to evaluate the impacts of strategic investments in biogas plants on the economic sustainability and vulnerability of farms with a special focus on investment subsidies. Data spanning 148 farms from the Czech Republic over a thirteen-year period (2004-2016) are used to estimate random effects panel regression models to quantify the short-term and long-term economic sustainability and vulnerability of integrated energy production in the context of mixed type farming. Investments in biogas plants can negatively affect the viability of agricultural companies in the short term because farms which invest in biogas suffer from debt pressures due to inadequate revenues in the construction phase. However, in the long term, the effects of biogas plant operations are positive: economic sustainability is enhanced and vulnerability is reduced mainly due to public support for renewable energy production in the form of feed-in tariffs and green bonuses. Comparing farms that received investment subsidies with nonparticipating farms indicates a high deadweight loss effect which means that programme participants would undertake a similar investment without programme support. However, the investment subsidies improve recipients´ cash flows.

Suggested Citation

  • Jindřich Špička, 2018. "How Do Agricultural Biogas Investments Affect Czech Farms?," Central European Business Review, Prague University of Economics and Business, vol. 2018(4), pages 34-60.
  • Handle: RePEc:prg:jnlcbr:v:2018:y:2018:i:4:id:205:p:36-60
    DOI: 10.18267/j.cebr.205
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    1. Abbas, Tahir & Ali, Ghaffar & Adil, Sultan Ali & Bashir, Muhammad Khalid & Kamran, Muhammad Asif, 2017. "Economic analysis of biogas adoption technology by rural farmers: The case of Faisalabad district in Pakistan," Renewable Energy, Elsevier, vol. 107(C), pages 431-439.
    2. Britz, Wolfgang & Delzeit, Ruth, 2013. "The impact of German biogas production on European and global agricultural markets, land use and the environment," Energy Policy, Elsevier, vol. 62(C), pages 1268-1275.
    3. Ondřej Dvouletý, 2017. "Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    4. Andreas Eder & Bernhard Mahlberg, 2018. "Size, Subsidies and Technical Efficiency in Renewable Energy Production: The Case of Austrian Biogas Plants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    5. Latruffe, Laure & Diazabakana, Ambre & Bockstaller, Christian & Desjeux, Yann & Finn, John & Kelly, Edel & Ryan, Mary & Uthes, Sandra, 2016. "Measurement of sustainability in agriculture: a review of indicators," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(3), pages 1-8, December.
    6. Ratinger, T. & Medonos, Tomas & Hruška, M., 2013. "An Assessment of the Differentiated Effects of the Investment Support to Agricultural Modernisation: the Case of the Czech Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(4), pages 1-12, December.
    7. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    8. Eugenio Demartini & Anna Gaviglio & Marco Gelati & Daniele Cavicchioli, 2016. "The Effect of Biogas Production on Farmland Rental Prices: Empirical Evidences from Northern Italy," Energies, MDPI, vol. 9(11), pages 1-23, November.
    9. Karatzoglou, Alexandros & Meyer, David & Hornik, Kurt, 2006. "Support Vector Machines in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 15(i09).
    10. Dougherty, Christopher, 2011. "Introduction to Econometrics," OUP Catalogue, Oxford University Press, edition 4, number 9780199567089.
    11. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    12. O'Donoghue, Cathal & Devisme, Simon & Ryan, Mary & Conneely, Ricky & Gillespie, Patrick & Vrolijk, Hans, 2016. "Farm economic sustainability in the European Union: A pilot study," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(3), pages 1-9, December.
    13. Ostermeyer, Arlette & Schonau, Franziska, 2012. "Effects of biogas production on inter- and in-farm competition," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135772, European Association of Agricultural Economists.
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    More about this item

    Keywords

    agriculture; biogas; Czech Republic; subsidies; sustainability; vulnerability;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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