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Step-by-step development of a model simulating returns on farm from investments: the example of hazelnut plantation in Italy: The example of hazelnut plantation in Italy

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  • Spiegel, Alisa
  • Severini, Simone
  • Britz, Wolfgang
  • Coletta, Attilio

Abstract

Recent literature reviews of empirical models optimizing long-term invest-ments in agriculture see gaps with regard to (i) separating investment and financing decisions, (ii) considering explicitly risk and temporal flexibility, and (iii) accounting for farm-level resource endowments and other constraints. Inspired by real options approaches, this paper therefore stepwise develops a model extending a simple net present value calculation to a farm-scale simulation model based on mathematical programming, which considers time flexibility, different financing options and down-side risk aversion. We empirically assess the different model variants by analysing investments into hazelnut orchards in Italy outside of traditional producing regions. The variants suggest quite different optimal results with respect to scale and timing of the investment, its financing and the expected NPV. The stepwise approach reveals which aspects drive these differences and underlines that considering temporal flex-ibility, different financing options and riskiness can considerably improve traditional NPV analysis.

Suggested Citation

  • Spiegel, Alisa & Severini, Simone & Britz, Wolfgang & Coletta, Attilio, 2020. "Step-by-step development of a model simulating returns on farm from investments: the example of hazelnut plantation in Italy: The example of hazelnut plantation in Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(1), April.
    • Handle: RePEc:ags:aieabj:308835
    DOI: 10.22004/ag.econ.308835
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    1. Rodolphe Durand & Robert M. Grant & Tammy L. Madsen & Lenos Trigeorgis & Jeffrey J. Reuer, 2017. "Real options theory in strategic management," Strategic Management Journal, Wiley Blackwell, vol. 38(1), pages 42-63, January.
    2. Wilm Fecke & Jan-Henning Feil & Oliver Musshoff, 2016. "Determinants of loan demand in agriculture: empirical evidence from Germany," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 76(4), pages 462-476, November.
    3. Morreale, Azzurra & Mittone, Luigi & Lo Nigro, Giovanna, 2019. "Risky choices in strategic environments: An experimental investigation of a real options game," European Journal of Operational Research, Elsevier, vol. 279(1), pages 143-158.
    4. Dorin Badiu & Felix H. Arion & Iulia C. Muresan & Ramona Lile & Viorel Mitre, 2015. "Evaluation of Economic Efficiency of Apple Orchard Investments," Sustainability, MDPI, vol. 7(8), pages 1-13, August.
    5. Syster C. Maart-Noelck & Oliver Musshoff, 2013. "Investing Today or Tomorrow? An Experimental Approach to Farmers’ Decision Behaviour," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 295-318, June.
    6. Spiegel, Alisa & Britz, Wolfgang & Djanibekov, Utkur & Finger, Robert, 2017. "Policy analysis of perennial energy crops cultivation at the farm level: the case of short rotation coppice (SRC) in Germany," Discussion Papers 263448, University of Bonn, Institute for Food and Resource Economics.
    7. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    8. Lin, Tyrone T., 2009. "The determinant of production entry and exit model on financing behavior," European Journal of Operational Research, Elsevier, vol. 196(1), pages 258-265, July.
    9. Chronopoulos, Michail & De Reyck, Bert & Siddiqui, Afzal, 2011. "Optimal investment under operational flexibility, risk aversion, and uncertainty," European Journal of Operational Research, Elsevier, vol. 213(1), pages 221-237, August.
    10. Zinnanti, Cinzia & Schimmenti, Emanuele & Borsellino, Valeria & Paolini, Giulio & Severini, Simone, 2019. "Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production," Agricultural Systems, Elsevier, vol. 176(C).
    11. Liesbeth Colen & Sergio Gomez y Paloma & Uwe Latacz-Lohmann & Marianne Lefebvre & Raphaële Préget & Sophie Thoyer, 2016. "Economic Experiments as a Tool for Agricultural Policy Evaluation: Insights from the European CAP," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(4), pages 667-694, December.
    12. Po-Yuan Chen, 2013. "Revisiting Uncertain Investment and Financing Decisions using Entry Probability," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 3(3), pages 1-13.
    13. Ada Wossink & Cornelis Gardebroek, 2006. "Environmental Policy Uncertainty and Marketable Permit Systems: The Dutch Phosphate Quota Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 16-27.
    14. Jan Hinrichs & Oliver Musshoff & Martin Odening, 2008. "Economic hysteresis in hog production," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 333-340.
    15. Eric Kiprotich Bett & David Michael Ayieko, 2017. "Economic potential for conversion to organic farming: a net present value analysis in the East Mau Catchment, Nakuru, Kenya," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1307-1325, August.
    16. Amir K. Abadi Ghadim & David J. Pannell & Michael P. Burton, 2005. "Risk, uncertainty, and learning in adoption of a crop innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 1-9, July.
    17. Ani L. Katchova, 2005. "Factors affecting farm credit use," Agricultural Finance Review, Emerald Group Publishing, vol. 65(2), pages 17-29, July.
    18. Chronopoulos, Michail & De Reyck, Bert & Siddiqui, Afzal, 2014. "Duopolistic competition under risk aversion and uncertainty," European Journal of Operational Research, Elsevier, vol. 236(2), pages 643-656.
    19. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    20. Alfons Weersink & Murray Fulton, 2020. "Limits to Profit Maximization as a Guide to Behavior Change," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 67-79, March.
    21. Coelho, Luís Alberto Godinho & Pires, Cesaltina Maria Pacheco & Dionísio, Andreia Teixeira & Serrão, Amílcar Joaquim da Conceição, 2012. "The impact of CAP policy in farmer's behavior – A modeling approach using the Cumulative Prospect Theory," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 81-98.
    22. Travis A. Farley & Paul N. Ellinger, 2007. "Factors influencing borrowers’ preferences for lenders," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 67(2), pages 211-223, November.
    23. Peter Howley & Emma Dillon, 2012. "Modelling the effect of farming attitudes on farm credit use: a case study from Ireland," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(3), pages 456-470, November.
    24. Filippo Sgroi & Matteo Candela & Anna Maria Di Trapani & Mario Foderà & Riccardo Squatrito & Riccardo Testa & Salvatore Tudisca, 2015. "Economic and Financial Comparison between Organic and Conventional Farming in Sicilian Lemon Orchards," Sustainability, MDPI, vol. 7(1), pages 1-15, January.
    25. Hassett, Kevin A. & Metcalf, Gilbert E., 1993. "Energy conservation investment : Do consumers discount the future correctly?," Energy Policy, Elsevier, vol. 21(6), pages 710-716, June.
    26. Holger Heitsch & Werner Römisch, 2009. "Scenario tree reduction for multistage stochastic programs," Computational Management Science, Springer, vol. 6(2), pages 117-133, May.
    27. Turvey, Calum G. & He, Guangwen & MA, Jiujie & Kong, Rong & Meagher, Patrick, 2012. "Farm credit and credit demand elasticities in Shaanxi and Gansu," China Economic Review, Elsevier, vol. 23(4), pages 1020-1035.
    28. Liesbeth Colen & Sergio Gomez y Paloma & Uwe Latacz-Lohmann & Marianne Lefebvre & Raphaële Préget & Sophie Thoyer, 2016. "Economic Experiments as a Tool for Agricultural Policy Evaluation: Insights from the European CAP," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(4), pages 667-694, December.
    29. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
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