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Drought risk attitudes in pastoral and agro-pastoral communities in Kenya

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  • Schrieks, Teun
  • Botzen, W.J. Wouter
  • Haer, Toon
  • Aerts, Jeroen C.J.H.

Abstract

Pastoral and agro-pastoral communities are amongst the most vulnerable groups in the world to increased drought risk caused by climate change. Risk preferences play a key role in drought adaptation decisions, but little research has been done on risk preferences in (agro-)pastoral communities. This study therefore examines risk attitudes amongst Kenyan (agro-)pastoralists, which can inform the development of effective adaptation policies. A hypothetical multiple price list experiment, framed as farming decisions under drought-risk scenarios, is employed to measure utility curvature and probability weighting. Varying rainfall scenarios are presented to assess changes in risk-taking behaviour if climate change increases the probability of drought. We included three psychological factors and several socioeconomic variables in the analysis to understand variations in risk attitudes between individuals. The respondents are, on average, risk-averse and overweight high probabilities. An increased drought risk due to climate change is expected to amplify risk-averse behaviour. An internal locus of control and high drought-risk perceptions are associated with risk-averse behaviour, whereas receiving emergency drought support is associated with less risk-averse behaviour. Policies promoting anticipatory risk-reducing behaviour could emphasise the effectiveness of individual actions, increase awareness of the problem, and minimise reliance on emergency assistance.

Suggested Citation

  • Schrieks, Teun & Botzen, W.J. Wouter & Haer, Toon & Aerts, Jeroen C.J.H., 2024. "Drought risk attitudes in pastoral and agro-pastoral communities in Kenya," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    • Handle: RePEc:eee:soceco:v:108:y:2024:i:c:s2214804323001696
    DOI: 10.1016/j.socec.2023.102143
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    as
    1. Diecidue, Enrico & Wakker, Peter P, 2001. "On the Intuition of Rank-Dependent Utility," Journal of Risk and Uncertainty, Springer, vol. 23(3), pages 281-298, November.
    2. Brañas-Garza, Pablo & Estepa-Mohedano, Lorenzo & Jorrat, Diego & Orozco, Victor & Rascón-Ramírez, Ericka, 2021. "To pay or not to pay: Measuring risk preferences in lab and field," Judgment and Decision Making, Cambridge University Press, vol. 16(5), pages 1290-1313, September.
    3. 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.
    4. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    5. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
    6. Stein T. Holden & John Quiggin, 2017. "Climate risk and state-contingent technology adoption: shocks, drought tolerance and preferences," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(2), pages 285-308.
    7. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    8. Alekseev, Aleksandr & Charness, Gary & Gneezy, Uri, 2017. "Experimental methods: When and why contextual instructions are important," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 48-59.
    9. Arnaud Reynaud & Cécile Aubert, 2020. "Does flood experience modify risk preferences? Evidence from an artefactual field experiment in Vietnam," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(1), pages 36-74, March.
    10. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344, December.
    11. Helga Fehr-Duda & Thomas Epper, 2012. "Probability and Risk: Foundations and Economic Implications of Probability-Dependent Risk Preferences," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 567-593, July.
    12. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    13. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    14. Norbert Hirschauer & Oliver Musshoff & Syster C. Maart-Noelck & Sven Gruener, 2014. "Eliciting risk attitudes -- how to avoid mean and variance bias in Holt-and-Laury lotteries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(1), pages 35-38, January.
    15. GlennW. Harrison & StevenJ. Humphrey & Arjan Verschoor, 2010. "Choice under Uncertainty: Evidence from Ethiopia, India and Uganda," Economic Journal, Royal Economic Society, vol. 120(543), pages 80-104, March.
    16. Alexis H. Villacis & Jeffrey R. Alwang & Victor Barrera, 2021. "Linking risk preferences and risk perceptions of climate change: A prospect theory approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 863-877, September.
    17. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    18. Christos A. Ioannou & Jana Sadeh, 2016. "Time preferences and risk aversion: Tests on domain differences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 29-54, August.
    19. Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-279, May.
    20. Glenn W. Harrison & E. Elisabet Rutström, 2008. "Risk Aversion in the Laboratory," Research in Experimental Economics, in: Risk Aversion in Experiments, pages 41-196, Emerald Group Publishing Limited.
    21. Andreas C. Drichoutis & Jayson L. Lusk, 2016. "What can multiple price lists really tell us about risk preferences?," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 89-106, December.
    22. Patrick S. Ward & Vartika Singh, 2015. "Using Field Experiments to Elicit Risk and Ambiguity Preferences: Behavioural Factors and the Adoption of New Agricultural Technologies in Rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 707-724, June.
    23. Verschoor, Arjan & D’Exelle, Ben & Perez-Viana, Borja, 2016. "Lab and life: Does risky choice behaviour observed in experiments reflect that in the real world?," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 134-148.
    24. Peter John Robinson & W. J. Wouter Botzen, 2019. "Determinants of Probability Neglect and Risk Attitudes for Disaster Risk: An Online Experimental Study of Flood Insurance Demand among Homeowners," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2514-2527, November.
    25. W. J. Wouter Botzen & Howard Kunreuther & Erwann Michel-Kerjan, 2019. "Protecting against disaster risks: Why insurance and prevention may be complements," Journal of Risk and Uncertainty, Springer, vol. 59(2), pages 151-169, October.
    26. Sarah Jacobson & Ragan Petrie, 2009. "Learning from mistakes: What do inconsistent choices over risk tell us?," Journal of Risk and Uncertainty, Springer, vol. 38(2), pages 143-158, April.
    27. Yuki Tanaka & Alistair Munro, 2014. "Regional Variation in Risk and Time Preferences: Evidence from a Large-scale Field Experiment in Rural Uganda," Journal of African Economies, Centre for the Study of African Economies, vol. 23(1), pages 151-187.
    28. Charness, Gary & Viceisza, Angelino, 2016. "Three Risk-elicitation Methods in the Field - Evidence from Rural Senegal," Review of Behavioral Economics, now publishers, vol. 3(2), pages 145-171, July.
    29. Paul Raschky & Hannelore Weck-Hannemann, 2007. "Charity hazard - A real hazard to natural disaster insurance," Working Papers 2007-04, Faculty of Economics and Statistics, Universität Innsbruck.
    30. Nathaniel T. Wilcox, 2008. "Stochastic models for binary discrete choice under risk: a critical primer and econometric comparison," Research in Experimental Economics, in: Risk Aversion in Experiments, pages 197-292, Emerald Group Publishing Limited.
    31. Arjan Verschoor & Ben D’Exelle, 2022. "Probability weighting for losses and for gains among smallholder farmers in Uganda," Theory and Decision, Springer, vol. 92(1), pages 223-258, February.
    32. Paolo Crosetto & Antonio Filippin, 2016. "A theoretical and experimental appraisal of four risk elicitation methods," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 613-641, September.
    33. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    34. Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2016. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Affect Risk Preference Outcomes? Evidence from Rural Uganda," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    35. Estepa-Mohedano, Lorenzo & Espinosa, María Paz, 2023. "Comparing risk elicitation in lotteries with visual or contextual aids," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    36. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    37. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    38. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344.
    39. Humphrey, Steven J. & Verschoor, Arjan, 2004. "The probability weighting function: experimental evidence from Uganda, India and Ethiopia," Economics Letters, Elsevier, vol. 84(3), pages 419-425, September.
    40. Thornton, P.K. & van de Steeg, J. & Notenbaert, A. & Herrero, M., 2009. "The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know," Agricultural Systems, Elsevier, vol. 101(3), pages 113-127, July.
    41. repec:cup:judgdm:v:16:y:2021:i:5:p:1290-1313 is not listed on IDEAS
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