IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i10p1892-d1249110.html
   My bibliography  Save this article

Information Acquisition Ability and Farmers’ Herd Behavior in Rice–Crayfish Coculture System Adoption

Author

Listed:
  • Weihong Huang

    (School of Business, Central South University of Forestry and Technology, Changsha 410004, China)

  • Caiyan Yang

    (School of Business, Central South University of Forestry and Technology, Changsha 410004, China)

  • Ke Liu

    (School of Management, Wuhan Polytechnic University, Wuhan 430023, China)

  • Rui Min

    (School of Economics, South-Central Minzu University, Wuhan 430074, China)

Abstract

Rice–crayfish coculture systems (RCSs) have been widely promoted in China as an efficient circular agriculture model that can simultaneously improve rice quality, raise the efficiency of utilization of resources, and increase farmers’ incomes. However, the herd behavior of farmers in the adoption of the rice–crayfish coculture system warrants more attention, as the rational adoption of this system by farmers is a prerequisite for achieving the above objectives. This paper analyses the formation mechanism of farmers’ herd behavior based on information cascade theory. Using micro-survey data from 603 farmers in China and a bivariate probit model, we examine the existence of herding effects in the adoption of RCSs by farmers and the inhibitory effect of information acquisition capability on herd behavior. To address possible endogeneity issues, we also conducted a robustness test using the IV-probit model. Furthermore, we tested for between-group differences in agricultural income between farmers with herding adoption and non-herding adoption. The study reveals that the larger the number of prior adopters, the higher the probability of blind adoption behavior by farmers, indicating the existence of a herd effect. Information acquisition ability could significantly inhibit the herd behavior of farmers in the adoption of RCSs. We also found that farmers’ herd behavior in the adoption of these systems was not economically rational. Based on the research findings, we proposed several constructive suggestions for policy perfection.

Suggested Citation

  • Weihong Huang & Caiyan Yang & Ke Liu & Rui Min, 2023. "Information Acquisition Ability and Farmers’ Herd Behavior in Rice–Crayfish Coculture System Adoption," Agriculture, MDPI, vol. 13(10), pages 1-15, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:1892-:d:1249110
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/10/1892/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/10/1892/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. D’Souza, Alwin & Mishra, Ashok K., 2018. "Adoption and Abandonment of Partial Conservation Technologies in Developing Economies: The Case of South Asia," Land Use Policy, Elsevier, vol. 70(C), pages 212-223.
    2. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    3. Chatzimichael, Konstantinos & Genius, Margarita & Tzouvelekas, Vangelis, 2014. "Informational cascades and technology adoption: Evidence from Greek and German organic growers," Food Policy, Elsevier, vol. 49(P1), pages 186-195.
    4. Andrea Morone & Eleni Samanidou, 2008. "A simple note on herd behaviour," Journal of Evolutionary Economics, Springer, vol. 18(5), pages 639-646, October.
      • Andrea Morone & Eleni Samanidou, 2007. "A simple note on Herd Behaviour," SERIES 0013, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Feb 2007.
    5. Jing Cai & Alain De Janvry & Elisabeth Sadoulet, 2015. "Social Networks and the Decision to Insure," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 81-108, April.
    6. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    7. Santos, Paulo & Barrett, Christopher B., 2010. "Identity, Interest and Information Search in a Dynamic Rural Economy," World Development, Elsevier, vol. 38(12), pages 1788-1796, December.
    8. Mouna Youssef, 2022. "What Drives Herding Behavior in the Cryptocurrency Market?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(2), pages 230-239, May.
    9. Awudu Abdulai, 2023. "Information acquisition and the adoption of improved crop varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1049-1062, August.
    10. Huck, Steffen & Oechssler, Jorg, 2000. "Informational cascades in the laboratory: Do they occur for the right reasons?," Journal of Economic Psychology, Elsevier, vol. 21(6), pages 661-671, December.
    11. Shoumin Yue & Ying Xue & Jie Lyu & Kangkang Wang, 2023. "The Effect of Information Acquisition Ability on Farmers’ Agricultural Productive Service Behavior: An Empirical Analysis of Corn Farmers in Northeast China," Agriculture, MDPI, vol. 13(3), pages 1-26, February.
    12. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    13. 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.
    14. J. Ford & D. Kelsey & W. Pang, 2013. "Information and ambiguity: herd and contrarian behaviour in financial markets," Theory and Decision, Springer, vol. 75(1), pages 1-15, July.
    15. Khan, Feroz & Ali, Yousaf, 2022. "Moving towards a sustainable circular bio-economy in the agriculture sector of a developing country," Ecological Economics, Elsevier, vol. 196(C).
    16. Yanbing Wang & Niklas Möhring & Robert Finger, 2023. "When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 256-273, March.
    17. Kristina Beethem & Sandra T. Marquart-Pyatt & Jennifer Lai & Tian Guo, 2023. "Navigating the information landscape: public and private information source access by midwest farmers," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(3), pages 1117-1135, September.
    18. Shikuku, Kelvin Mashisia, 2019. "Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda," World Development, Elsevier, vol. 115(C), pages 94-106.
    19. Amy Wenxuan Ding & Shibo Li, 2019. "Herding in the consumption and purchase of digital goods and moderators of the herding bias," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 460-478, May.
    20. Zhou, Rhea Tingyu & Lai, Rose Neng, 2009. "Herding and information based trading," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 388-393, June.
    21. de Lauwere, Carolien & Slegers, Monique & Meeusen, Marieke, 2022. "The influence of behavioural factors and external conditions on Dutch farmers’ decision making in the transition towards circular agriculture," Land Use Policy, Elsevier, vol. 120(C).
    22. Wei, Yanbing & Müller, Daniel & Sun, Zhanli & Lu, Miao & Tang, Huajun & Wu, Wenbin, 2023. "Exploring the emergence and changing dynamics of a new integrated rice-crawfish farming system in China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(6), pages 1-13.
    23. Kuei-Yuan Wang & Yu-Sin Huang, 2019. "Effects of Transparency on Herding Behavior: Evidence from the Taiwanese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(8), pages 1821-1840, June.
    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. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    2. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    3. Xiong, Hang & Payne, Diane & Kinsella, Stephen, 2016. "Peer effects in the diffusion of innovations: Theory and simulation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 1-13.
    4. Margherita Comola & Carla Inguaggiato & Mariapia Mendola, 2021. "Learning about Farming: Innovation and Social Networks in a Resettled Community in Brazil," Development Working Papers 468, Centro Studi Luca d'Agliano, University of Milano.
    5. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    6. Ferdinand Thies & Sören Wallbach & Michael Wessel & Markus Besler & Alexander Benlian, 2022. "Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1691-1705, September.
    7. Kraemer, Carlo & Noth, Markus & Weber, Martin, 2006. "Information aggregation with costly information and random ordering: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 59(3), pages 423-432, March.
    8. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    9. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    10. repec:ebl:ecbull:v:3:y:2005:i:34:p:1-11 is not listed on IDEAS
    11. SHIMAMOTO Daichi & Yu Ri KIM & TODO Yasuyuki, 2019. "The Effect of Social Interactions on Exporting Activities: Evidence from Micro, Small, and Medium-Sized Enterprises in rural Vietnam," Discussion papers 19020, Research Institute of Economy, Trade and Industry (RIETI).
    12. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    13. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    14. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    15. Pegah Dehghani & Ros Zam Zam Sapian, 2014. "Sectoral herding behavior in the aftermarket of Malaysian IPOs," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 227-246, July.
    16. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    17. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    18. Huanxiu GUO & Mary-Françoise RENARD, 2013. "Social activity and collective action for agricultural innovation: a case study of New Rural Reconstruction in China," Working Papers 201306, CERDI.
    19. Elisabeth SADOULET, 2016. "Review of Theories of Learning for Adopting," Working Papers P163, FERDI.
    20. Sriroop Chaudhuri & Mimi Roy & Louis M. McDonald & Yves Emendack, 2021. "Reflections on farmers’ social networks: a means for sustainable agricultural development?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 2973-3008, March.
    21. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2019. "The role of overconfidence in overweighting private information: Does gender matter?," EconStor Preprints 203448, ZBW - Leibniz Information Centre for Economics.

    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:jagris:v:13:y:2023:i:10:p:1892-:d:1249110. 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.