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The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in the Spanish olive sector

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  • Fatima Lambarraa
  • Spiro Stefanou
  • José M. Gil

Abstract

This study addresses irreversible investment decision-making in the context of uncertainty when allowing for inefficiency to be transmitted over time. Both irreversibility and persistence in technical inefficiency can lead to sluggish adjustment of quasi-fixed factors of production. The context of our application is the Spanish olive sector using farm-level data. We first estimate a dynamic stochastic frontier model to determine the long-run technical efficiency and its persistence. Then we address the decision to invest under uncertainty and irreversibility using a real option approach and include the technical inefficiency and its persistence in the simulation model to evaluate their impact in the investment decision. Technical efficiency in the dynamic model is 72.7 per cent, which is 5.5 per cent lower than the static framework suggests. We find that olive grove investment is irreversible. However, the level of persistence in technical inefficiency is fairly low, suggesting that efforts to mitigate price uncertainty can improve production returns to the Spanish olive sector.

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  • Fatima Lambarraa & Spiro Stefanou & José M. Gil, 2016. "The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in the Spanish olive sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(1), pages 59-77.
  • Handle: RePEc:oup:erevae:v:43:y:2016:i:1:p:59-77.
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    Cited by:

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    2. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    3. Iordanis Parikoglou & Grigorios Emvalomatis & Fiona Thorne, 2022. "Precision livestock agriculture and productive efficiency: The case of milk recording in Ireland," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 109-120, November.
    4. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
    5. Pieralli, Simone & Hüttel, Silke & Odening, Martin, 2014. "Abandonment of milk production under uncertainty and inefficiency: The case of West German farms," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170236, Agricultural and Applied Economics Association.
    6. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    7. Willeke Veninga & Rico Ihle, 2018. "Import vulnerability in the Middle East: effects of the Arab spring on Egyptian wheat trade," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 183-194, February.
    8. Hennessy, David A., 2018. "Managing Derived Demand For Antibiotics In Animal Agriculture," 2018 Annual Meeting, August 5-7, Washington, D.C. 274359, Agricultural and Applied Economics Association.
    9. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, . "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 0.
    10. Iliakis, Konstantinos & Gadanakis, Yiorgos & Park, Julian, 2017. "Technology gaps and leaps in the sustainable development of English cereal and general cropping farms," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258649, Agricultural Economics Society.

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