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Tytuł artykułu

Need for cognitive closure, information acquisition and adoption of green prevention and control technology

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, we use the OLS regression method to analyse the influencing mechanism of the NFCC on farmers’ adoption of green prevention and control technology and further verify the mediating effect of information acquisition. The results show that the NFCC has a direct effect on the adoption of green prevention and control technology, and information acquisition has a mediating effect. The first stage of cognitive closure has a more significant effect on farmers’ adoption of green prevention and control technology, information acquisition ability has a significant positive impact on farmers’ adoption of green prevention and control technology, and information acquisition has an incomplete mediating effect on the impact of cognitive closure on the adoption of green prevention and control technologies. This paper further studies and verifies the action path of two dimensions of the NFCC on farmers’ adoption of green prevention and control technology. The results have certain theoretical significance for expanding the knowledge of farmers’ green prevention and control technology behaviour and further enriching the research on farmers’ cognition.
Rocznik
Strony
129--143
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China
autor
  • College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China
Bibliografia
  • [1] Pan Y, Ren Y, Luning PA. Factors influencing Chinese farmers’ proper pesticide application in agricultural products - A review. Food Control. 2021;122:107788. DOI: 10.1016/j.foodcont.2020.107788.
  • [2] Gao Y, Zhao D, Yu L. Duration analysis on the adoption behavior of green control techniques. Environ Science Pollut Res. 2019;26:6319-27. DOI: 10.1007/s11356-018-04088-9.
  • [3] Arthanareeswaran G, Curcio S, Chakraborty S. Special Issue: Green technologies for environmental pollution control and prevention. Ecotoxicol Environ Safety. 2015;134(pt.2):287. DOI: 10.1016/j.ecoenv.2016.09.032.
  • [4] Pan D, He M, Kong F. Risk attitude, risk perception, and farmers’ pesticide application behavior in China: A moderation and mediation model. J Cleaner Prod. 2020;276(10):124241. DOI: 10.1016/j.jclepro.2020.124241.
  • [5] Kruglanski AW, Webster DM, Klem A. Motivated resistance and openness to persuasion in the presence or absence of prior information. J Pers Soc Psychol. 1993;65(5):861-76. DOI: 10.1037/0022-3514.65.5.861.
  • [6] De Dreu CKW, Koole SL, Oldersma FL. On the seizing and freezing of negotiator inferences: Need for cognitive closure moderates the use of heuristics in negotiation. Addiction. 1999;25(3):348-62. DOI: 10.1177/0146167299025003007.
  • [7] Keersmaecker JD, Dunning D, Pennycook G, Rand DG, Roets A. Investigating the robustness of the illusory truth effect across individual differences in cognitive ability, need for cognitive closure, and cognitive style. Personality Social Psychol Bull. 2020;46(2):204-15. DOI: 10.1177/0146167219853844.
  • [8] Simon HA. Theories of bounded rationality. Decision Organization. 1972:161-76. Available from: https://mathscinet.ams.org/mathscinet-getitem?mr=418864.
  • [9] Webster DM, Kruglanski AW. Individual differences in need for cognitive closure. J Personality Social Psychol. 1994;67(6):1049-62. DOI: 10.1037/0022-3514.67.6.1049.
  • [10] Andrews D. The interplay of information diagnosticity and need for cognitive closure in determining choice confidence. Psychol Marketing. 2013;30(9):749-64. DOI: 10.1002/mar.20643.
  • [11] Neuberg SL, Judice TN, West SG. What the need for closure scale measures and what it does not: Toward differentiating among related epistemic motives. J Personality Social Psychol. 1997;72(6):1396-412. DOI: 10.1037/0022-3514.72.6.1396.
  • [12] Song Y, Fan T, Tang Y. Quality information acquisition and ordering decisions with risk aversion. Int J Prod Res. 2020;(6):1-17. DOI: 10.1080/00207543.2020.1828640.
  • [13] Guo ML, Jia XP, Huang JK, Kumar KB, Burger NE. Farmer field school and farmer knowledge acquisition in rice production: Experimental evaluation in China. Agricult Ecosystems Environ. 2015;209:100-7. DOI: 10.1016/j.agee.2015.02.011.
  • [14] Thuo M, Bell AA, Bravo-Ureta BE, Lachaud MA, Puppala N. Effects of social network factors on information acquisition and adoption of improved groundnut varieties: the case of Uganda and Kenya. Agricult Human Values. 2014;31(3). DOI: 10.1007/s10460-014-9486-6.
  • [15] Genius, M, Pantzios, CJ, Tzouvelekas V. Information acquisition and adoption of organic farming practices. J Agricult Resource Economics. 2006;31. DOI: 10.1080/028418500127345064.
  • [16] Colombo L, Femminis G, Pavan A. Information acquisition and welfare. Discussion Papers. 2014;81(4):1438-83. DOI: 10.1093/restud/rdu015.
  • [17] Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Res Methods Instruments Computers. 2004;36(4):717-31. DOI: 10.3758/BF03206553.
Uwagi
1. This work was supported by NSFC71473167 (Information Acquisition, Anchor Adjustment and Vegetable Farmers’ Behaviour of Pesticides Application: Mechanism and Evidence); L18BGL012 (Research on Social Trust, Risk Perception and Farmers’ Pesticide Application Behaviour).
2. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ea602a96-68db-4ab2-8446-1d57dafb35f9
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