IDEAS home Printed from https://ideas.repec.org/a/prg/jnlcbr/v2018y2018i4id205p36-60.html
   My bibliography  Save this article

How Do Agricultural Biogas Investments Affect Czech Farms?

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://cebr.vse.cz/doi/10.18267/j.cebr.205.html
    Download Restriction: free of charge
    File URL: http://cebr.vse.cz/doi/10.18267/j.cebr.205.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.cebr.205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. Karatzoglou, Alexandros & Meyer, David & Hornik, Kurt, 2006. "Support Vector Machines in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 15(i09).
    3. Dougherty, Christopher, 2011. "Introduction to Econometrics," OUP Catalogue, Oxford University Press, edition 4, number 9780199567089.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    2. Huang, Hsing-Hua & Lee, Han-Hsing, 2013. "Product market competition and credit risk," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 324-340.
    3. Malcolm Smith & Yun Ren & Yinan Dong, 2011. "The predictive ability of “conservatism” and “governance” variables in corporate financial disclosures," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 19(2), pages 171-185, July.
    4. Ogawa, Keishi & Garrod, Guy & Yagi, Hironori, 2023. "Sustainability strategies and stakeholder management for upland farming," Land Use Policy, Elsevier, vol. 131(C).
    5. Charitou, Andreas & Dionysiou, Dionysia & Lambertides, Neophytos & Trigeorgis, Lenos, 2013. "Alternative bankruptcy prediction models using option-pricing theory," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2329-2341.
    6. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    7. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    8. Evangelos C. Charalambakis, 2015. "On the Prediction of Corporate Financial Distress in the Light of the Financial Crisis: Empirical Evidence from Greek Listed Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 407-428, November.
    9. John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.
    10. Inekwe, John Nkwoma & Jin, Yi & Valenzuela, Ma. Rebecca, 2018. "The effects of financial distress: Evidence from US GDP growth," Economic Modelling, Elsevier, vol. 72(C), pages 8-21.
    11. du Jardin, Philippe, 2009. "Bankruptcy prediction models: How to choose the most relevant variables?," MPRA Paper 44380, University Library of Munich, Germany.
    12. Venus, Terese E. & Strauss, Felix & Venus, Thomas J. & Sauer, Johannes, 2021. "Understanding stakeholder preferences for future biogas development in Germany," Land Use Policy, Elsevier, vol. 109(C).
    13. Boubaker, Sabri & Cellier, Alexis & Manita, Riadh & Saeed, Asif, 2020. "Does corporate social responsibility reduce financial distress risk?," Economic Modelling, Elsevier, vol. 91(C), pages 835-851.
    14. Qunfeng LIAO & Seyed MEHDIAN, 2016. "Measuring Financial Distress And Predicting Corporate Bankruptcy: An Index Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 17, pages 33-51, June.
    15. Evangelos C. Charalambakis & Ian Garrett, 2016. "On the prediction of financial distress in developed and emerging markets: Does the choice of accounting and market information matter? A comparison of UK and Indian Firms," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 1-28, July.
    16. Bhanu Pratap SINGH & Alok Kumar MISHRA, 2016. "Predicting probability of default of Indian companies: A market based approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(608), A), pages 197-204, Autumn.
    17. Bauer, Julian & Agarwal, Vineet, 2014. "Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 432-442.
    18. Jarmila Horváthová & Martina Mokrišová, 2018. "Risk of Bankruptcy, Its Determinants and Models," Risks, MDPI, vol. 6(4), pages 1-22, October.
    19. Gupta, Jairaj & Chaudhry, Sajid, 2019. "Mind the tail, or risk to fail," Journal of Business Research, Elsevier, vol. 99(C), pages 167-185.
    20. Muhammad Shahzad Ijaz & Ahmed Imran Hunjra & Rauf I Azam, 2017. "Forewarning Bankruptcy: An Indigenous Model for Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 259-286, December.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prg:jnlcbr:v:2018:y:2018:i:4:id:205:p:36-60. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.