IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2019i1p85-d300520.html
   My bibliography  Save this article

Farmers’ Risk Cognition, Risk Preferences and Climate Change Adaptive Behavior: A Structural Equation Modeling Approach

Author

Listed:
  • Rui He

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China
    Chongqing Academy of Social Sciences, Chongqing 40020, China)

  • Jianjun Jin

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China)

  • Foyuan Kuang

    (Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China)

  • Chenyang Zhang

    (Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China)

  • Tong Guan

    (Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China)

Abstract

Improving local farmers′ climate change adaptive capacity is an important policy issue in rural China. This study investigates farmers′ risk cognition, risk preferences and climate change adaptive behavior. Based on unique data from a survey and a paired lottery experiment completed by 240 rural farmers in Chongqing City of China, this paper finds that farmers have a pessimistic risk cognition towards climate change and the typical farmers are risk-averse and loss-averse. Risk cognition and adaptation cognition have significantly positive influences on climate change adaptive behavior, and loss aversion has a significantly positive influence on farmers′ adaptation decisions. Loss aversion exerts a positive impact on risk cognition and adaptation cognition, and risk aversion has a positive impact on adaptation cognition. This paper contributes to the emerging literature that relates risk preference in experiments and risk cognition to farmers′ climate change adaptive behavior.

Suggested Citation

  • Rui He & Jianjun Jin & Foyuan Kuang & Chenyang Zhang & Tong Guan, 2019. "Farmers’ Risk Cognition, Risk Preferences and Climate Change Adaptive Behavior: A Structural Equation Modeling Approach," IJERPH, MDPI, vol. 17(1), pages 1-13, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:85-:d:300520
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/1/85/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/1/85/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bartczak, Anna & Chilton, Susan & Meyerhoff, Jürgen, 2015. "Wildfires in Poland: The impact of risk preferences and loss aversion on environmental choices," Ecological Economics, Elsevier, vol. 116(C), pages 300-309.
    2. Muhammad Ashraf & Jayant Routray & Muhammad Saeed, 2014. "Determinants of farmers’ choice of coping and adaptation measures to the drought hazard in northwest Balochistan, 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. 73(3), pages 1451-1473, September.
    3. John L. Dillon & J. R. Anderson, 1971. "Allocative Efficiency, Traditional Agriculture, and Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 26-32.
    4. Liu, Elaine M. & Meng, Juanjuan & Wang, Joseph Tao-yi, 2014. "Confucianism and preferences: Evidence from lab experiments in Taiwan and China," Journal of Economic Behavior & Organization, Elsevier, vol. 104(C), pages 106-122.
    5. 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.
    6. 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.
    7. Melesse, Mequanint B. & Cecchi, Francesco, 2017. "Does Market Experience Attenuate Risk Aversion? Evidence from Landed Farm Households in Ethiopia," World Development, Elsevier, vol. 98(C), pages 447-466.
    8. 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.
    9. 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.
    10. Palich, Leslie E. & Ray Bagby, D., 1995. "Using cognitive theory to explain entrepreneurial risk-taking: Challenging conventional wisdom," Journal of Business Venturing, Elsevier, vol. 10(6), pages 425-438, November.
    11. Mohamed Esham & Chris Garforth, 2013. "Agricultural adaptation to climate change: insights from a farming community in Sri Lanka," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(5), pages 535-549, June.
    12. Jerome M. Wolgin, 1975. "Resource Allocation and Risk: A Case Study of Smallholder Agriculture in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(4), pages 622-630.
    13. Schmid, Julia C. & Knierim, Andrea & Knuth, Ulrike, 2016. "Policy-induced innovations networks on climate change adaptation – An ex-post analysis of collaboration success and its influencing factors," Environmental Science & Policy, Elsevier, vol. 56(C), pages 67-79.
    14. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Golo-Friedrich Bauermeister & Daniel Hermann & Oliver Musshoff, 2018. "Consistency of determined risk attitudes and probability weightings across different elicitation methods," Theory and Decision, Springer, vol. 84(4), pages 627-644, June.
    2. Kanchan Joshi & Thiagu Ranganathan & Ram Ranjan, 2021. "Exploring Higher Order Risk Preferences of Farmers in a Water-Scarce Region: Evidence from a Field Experiment in West Bengal, India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 317-344, June.
    3. Julia Ihli, Hanna & Chiputwa, Brian & Winter, Etti & Gassner, Anja, 2022. "Risk and time preferences for participating in forest landscape restoration: The case of coffee farmers in Uganda," World Development, Elsevier, vol. 150(C).
    4. 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.
    5. 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).
    6. Dogbe, Wisdom & Gil, José M., 2019. "Linking risk attitudes, time preferences, and body mass index in Catalonia," Economics & Human Biology, Elsevier, vol. 35(C), pages 73-81.
    7. Bocqueho, Geraldine & Jacquet, Florence & Reynaud, Arnaud, 2011. "Expected Utility or Prospect Theory Maximizers? Results from a Structural Model based on Field-experiment Data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114257, European Association of Agricultural Economists.
    8. Tristan Le Cotty & Elodie Maître d’Hôtel & Raphael Soubeyran & Julie Subervie, 2018. "Linking Risk Aversion, Time Preference and Fertiliser Use in Burkina Faso," Journal of Development Studies, Taylor & Francis Journals, vol. 54(11), pages 1991-2006, November.
    9. Maier, Johannes & Rüger, Maximilian, 2010. "Measuring Risk Aversion Model-Independently," Discussion Papers in Economics 11873, University of Munich, Department of Economics.
    10. Sandri, Serena & Schade, Christian & Mußhoff, Oliver & Odening, Martin, 2010. "Holding on for too long? An experimental study on inertia in entrepreneurs' and non-entrepreneurs' disinvestment choices," Journal of Economic Behavior & Organization, Elsevier, vol. 76(1), pages 30-44, October.
    11. Renate Strobl & Conny Wunsch, 2017. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," CESifo Working Paper Series 6578, CESifo.
    12. Petraud, Jean & Boucher, Stephen & Carter, Michael, 2015. "Competing theories of risk preferences and the demand for crop insurance: Experimental evidence from Peru," 2015 Conference, August 9-14, 2015, Milan, Italy 211383, International Association of Agricultural Economists.
    13. Strobl, Renate & Wunsch, Conny, 2018. "Risky Choices and Solidarity: Why Experimental Design Matters," Working papers 2018/17, Faculty of Business and Economics - University of Basel.
    14. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    15. Naranjo, Maria A. & Alpízar, Francisco & Martinsson, Peter, 2019. "Alternatives for Risk Elicitation in the Field: Evidence from Coffee Farmers in Costa Rica," EfD Discussion Paper 19-21, Environment for Development, University of Gothenburg.
    16. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2016. "Eliciting Risk Preferences: Firefighting in the Field," IZA Discussion Papers 9765, Institute of Labor Economics (IZA).
    17. Georgalos, Konstantinos & Paya, Ivan & Peel, David A., 2021. "On the contribution of the Markowitz model of utility to explain risky choice in experimental research," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 527-543.
    18. Francesco Bogliacino & Iván González-Gallo, 2015. "Aspirations, Prospect Theory and entrepreneurship: evidence from Colombia," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(3), pages 271-290, September.
    19. 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.
    20. Abdellaoui, Mohammed & Kemel, Emmanuel & Panin, Amma & Vieider, Ferdinand M., 2019. "Measuring time and risk preferences in an integrated framework," Games and Economic Behavior, Elsevier, vol. 115(C), pages 459-469.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:85-:d:300520. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.