ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
The influencing factors of quality collaborative control behavior in beef cattle farms and households: evidence from questionnaire surveys across 19 provinces in China
Provisionally accepted- College of Economics and Management, Jilin Agriculture University, Changchun, China
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Effective collaborative quality control between beef cattle farms and slaughtering/processing enterprises is pivotal for ensuring beef quality and safety, meeting heterogeneous consumer demand, and building a resilient, diversified food supply. Yet the farmer-side determinants of such collaboration remain underexamined. Drawing on the Decomposed Theory of Planned Behavior (DTPB), this study analyzes survey data from 19 provinces in China using structural equation modeling (SEM) to identify the drivers of collaborative quality-control behavior among beef cattle farms. The results show that decision-maker characteristics, subjective norms, and attitudes toward collaboration exert significant positive direct effects (path coefficients = 0.181, 0.508, and 0.202, respectively). Operational characteristics and perceived behavioral control influence collaborative behavior indirectly via subjective norms and collaborative attitudes, respectively. Conceptually, the study extends DTPB to a livestock supply-chain context and illuminates farmer decision-making through latent constructs relevant to developing-country settings. Practically, the findings indicate that strengthening collaborative quality control can be advanced by improving farmers' scientific and cultural literacy, refining and disseminating beef quality standards, enhancing related training, bolstering certification and market supervision, supporting exemplary farm–enterprise partnerships, and ensuring a fair distribution of collaborative gains.
Keywords: Beef cattle farm, Quality Collaborative Control, Decomposed theory of planned behavior, structural equation model, Slaughtering Enterprises
Received: 27 Aug 2025; Accepted: 26 Nov 2025.
Copyright: © 2025 Li and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yuejie Zhang
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