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Production risk, risk aversion and the determination of risk attitudes among Spanish rice producers

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  • Andrés J. Picazo‐Tadeo
  • Alan Wall

Abstract

Agricultural production is subject to risk and the attitudes of producers toward risk will influence input choices insofar as these affect production risk. Risk attitudes in turn may be affected by certain socioeconomic characteristics of producers. Using 2004 survey data from a cross‐section of 130 Spanish rice farms, we estimate risk‐aversion coefficients of farmers and investigate the influence of a series of socioeconomic variables on their risk attitudes. Our results show that farmers exhibit risk‐averse behavior and that risk attitudes are related to a series of socioeconomic characteristics. In particular, the belief that the farm will continue after the producer retires is found to increase the degree of risk aversion, while age is found to have nonlinear effects on risk aversion. Off‐farm income, especially from nonagricultural activities, is found to reduce risk aversion. Neither the educational level of the producer nor the presence of dependents on the household is found to have an effect on risk preferences. Regarding the production technology, we find that land, labor, and fitosanitary products are risk‐reducing inputs, whereas capital, seeds, and fertilizer all increase risk.

Suggested Citation

  • Andrés J. Picazo‐Tadeo & Alan Wall, 2011. "Production risk, risk aversion and the determination of risk attitudes among Spanish rice producers," Agricultural Economics, International Association of Agricultural Economists, vol. 42(4), pages 451-464, July.
  • Handle: RePEc:bla:agecon:v:42:y:2011:i:4:p:451-464
    DOI: 10.1111/j.1574-0862.2011.00537.x
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    Cited by:

    1. Jason R.V. Franken & Joost M.E. Pennings & Philip Garcia, 2017. "Risk attitudes and the structure of decision†making: evidence from the Illinois hog industry," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 41-50, January.
    2. ODOZI, JOHN CHIWUZULUM & Adeniyi, Oluwaosin & Yusuf, Sulaiman A., 2018. "Production Efficiency in Small Agriculture: Do Migrant Remittances Matter?Evidence from Rural Nigeria," AgriXiv jfvzn, Center for Open Science.
    3. Haluk Gedikoglu & Joseph L. Parcell, 2024. "Building Community-Based Social Capital by Enhancing Individual Social Capital: The Case of Farmers in Turkey’s Konya Region," Sustainability, MDPI, vol. 16(18), pages 1-26, September.
    4. Atilla Aras, 2023. "Empirical Evidence for the New Definitions in Financial Markets and Equity Premium Puzzle," Papers 2305.03468, arXiv.org, revised May 2024.
    5. Edward Knapp & Jason Loughrey, 2017. "The single farm payment and income risk in Irish farms 2005–2013," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-15, December.
    6. Muhamad Zahid Muhamad & Mad Nasir Shamsudin & Nitty Hirawaty Kamarulzaman & Nolila Mohd Nawi & Jamaliah Laham, 2022. "Investigating Yield Variability and Technical Efficiency of Smallholders Pineapple Production in Johor," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    7. Monjardino, Marta & McBeath, T. & Brennan, Lisa E. & Llewellyn, Rick S., 2012. "Revisiting N fertilisation rates in low-rainfall grain cropping regions of Australia: A risk analysis," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124339, Australian Agricultural and Resource Economics Society.
    8. Inmaculada Rodríguez-Puerta & Alberto A. Álvarez-López, 2016. "Optimal allocation of a fixed production under price uncertainty," Annals of Operations Research, Springer, vol. 237(1), pages 121-142, February.
    9. Boris E. Bravo‐Ureta & Víctor H. Moreira & Javier L. Troncoso & Alan Wall, 2020. "Plot‐level technical efficiency accounting for farm‐level effects: Evidence from Chilean wine grape producers," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 811-824, November.
    10. Bravo-Ureta, Boris E. & Njuki, Eric & Palacios, Ana Claudia & Salazar, Lina, 2022. "Agricultural Productivity in El Salvador: A Preliminary Analysis," IDB Publications (Working Papers) 11984, Inter-American Development Bank.
    11. Lyman, Nathaniel & Nalley, Lawton Lanier, 2013. "Stochastic Valuation of Hybrid Rice Technology in Arkansas," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142505, Southern Agricultural Economics Association.
    12. Khor, Ling Yee & Sariyev, Orkhan & Loos, Tim, 2020. "Gender differences in risk behavior and the link to household effects and individual wealth," Journal of Economic Psychology, Elsevier, vol. 80(C).
    13. Wencong Lu & Abdul Latif & Raza Ullah, 2017. "Simultaneous adoption of contract farming and off-farm diversification for managing agricultural risks: the case of flue-cured Virginia tobacco in Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1347-1361, April.
    14. Monjardino, Marta & McBeath, T. & Brennan, Lisa E. & Llewellyn, Rick S., 2012. "Are farmers in low-rainfall cropping regions under-fertilizing? An Australian case-study," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 124976, International Association of Agricultural Economists.
    15. Inmaculada Rodríguez-Puerta & Alberto Álvarez-López, 2016. "Optimal allocation of a fixed production under price uncertainty," Annals of Operations Research, Springer, vol. 237(1), pages 121-142, February.
    16. Monjardino, M. & McBeath, T. & Ouzman, J. & Llewellyn, R. & Jones, B., 2015. "Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt," Agricultural Systems, Elsevier, vol. 137(C), pages 108-118.
    17. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    18. Donoso, Guillermo, 2014. "A decision framework for a farmer who is risk averse in the Arrow-Pratt sense and downside risk averse," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(02), pages 1-22, December.
    19. Luigi Biagini & Simone Severini, 2022. "How Does the Farmer Strike a Balance between Income and Risk across Inputs? An Application in Italian Field Crop Farms," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    20. Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2013. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Matter? Evidence from Rural Uganda," GlobalFood Discussion Papers 158146, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    21. Simone Cerroni, 2020. "Eliciting farmers’ subjective probabilities, risk, and uncertainty preferences using contextualized field experiments," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 707-724, September.
    22. Shuoli Zhao & Chengyan Yue, 2020. "Risk preferences of commodity crop producers and specialty crop producers: An application of prospect theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 359-372, May.
    23. Domagalska-Grędys, Marta, 2020. "Evaluation Of Dimensions Of Farmer Attitudes In Principal Component Analysis (Pca)," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2020(1).

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