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Impact of perennial energy crops income variability on the crop selection of risk averse farmers

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  • Alexander, Peter
  • Moran, Dominic

Abstract

The UK Government policy is for the area of perennial energy crops in the UK to expand significantly. Farmers need to choose these crops in preference to conventional rotations for this to be achievable. This paper looks at the potential level and variability of perennial energy crop incomes and the relation to incomes from conventional arable crops. Assuming energy crop prices are correlated to oil prices the results suggests that incomes from them are not well correlated to conventional arable crop incomes. A farm scale mathematical programming model is then used to attempt to understand the affect on risk averse farmers crop selection. The inclusion of risk reduces the energy crop price required for the selection of these crops. However yields towards the highest of those predicted in the UK are still required to make them an optimal choice, suggesting only a small area of energy crops within the UK would be expected to be chosen to be grown. This must be regarded as a tentative conclusion, primarily due to high sensitivity found to crop yields, resulting in the proposal for further work to apply the model using spatially disaggregated data.

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  • Alexander, Peter & Moran, Dominic, 2013. "Impact of perennial energy crops income variability on the crop selection of risk averse farmers," Energy Policy, Elsevier, vol. 52(C), pages 587-596.
  • Handle: RePEc:eee:enepol:v:52:y:2013:i:c:p:587-596
    DOI: 10.1016/j.enpol.2012.10.019
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    References listed on IDEAS

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    1. Sherrington, Chris & Moran, Dominic, 2010. "Modelling farmer uptake of perennial energy crops in the UK," Energy Policy, Elsevier, vol. 38(7), pages 3567-3578, July.
    2. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    3. Pannell, David J., 1997. "Sensitivity analysis of normative economic models: theoretical framework and practical strategies," Agricultural Economics, Blackwell, vol. 16(2), pages 139-152, May.
    4. Semaan, Josephine & Flichman, Guillermo & Scardigno, Alessandra & Steduto, Pasquale, 2007. "Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 94(2), pages 357-367, May.
    5. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    6. Earl O. Heady, 1954. "Simplified Presentation and Logical Aspects of Linear Programming Technique," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 36(5), pages 1035-1048.
    7. Chavas, Jean-Paul, 2000. "On information and market dynamics: The case of the U.S. beef market," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 833-853, June.
    8. David R. Oglethorpe, 1995. "Sensitivity Of Farm Plans Under Risk‐Averse Behaviour: A Note On The Environmental Implications," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 227-232, May.
    9. Arriaza, M. & Gomez-Limon, J. A., 2003. "Comparative performance of selected mathematical programming models," Agricultural Systems, Elsevier, vol. 77(2), pages 155-171, August.
    10. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    11. Michael T. Wallace & Joan E. Moss, 2002. "Farmer Decision‐Making with Conflicting Goals: A Recursive Strategic Programming Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(1), pages 82-100, March.
    12. Lars Brink & Bruce McCarl, 1978. "The Tradeoff between Expected Return and Risk Among Cornbelt Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(2), pages 259-263.
    13. R. Norgaard & T. Killeen, 1980. "Expected Utility and the Truncated Normal Distribution," Management Science, INFORMS, vol. 26(9), pages 901-909, September.
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    6. 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).
    7. Xue, Shuai & Kalinina, Olena & Lewandowski, Iris, 2015. "Present and future options for Miscanthus propagation and establishment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1233-1246.
    8. Mulugeta, Elias & Greig, Alastair, 2022. "The economic impacts of grassland reseeding in Northern Ireland," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321180, Agricultural Economics Society - AES.
    9. Adams, P.W.R. & Lindegaard, K., 2016. "A critical appraisal of the effectiveness of UK perennial energy crops policy since 1990," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 188-202.

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