School of Economics, Anyang Normal University, Anyang, China.
School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Front Public Health. 2021 Nov 19;9:752112. doi: 10.3389/fpubh.2021.752112. eCollection 2021.
Food fraud not only exacerbates human public health risks but also threatens the business development of food and related industries. Therefore, how to curb food fraud effectively becomes a crucial issue for governments, industries, and consumers. Previous studies have demonstrated that enterprise food fraud is subject to joint influences of factor at various hierarchical levels within a complex system of stakeholders. To address enterprise food fraud, it is necessary to identify the key such factors and elucidate the functional mechanisms, as well as systematic analysis of the interrelationships among clusters and factors. Hence, we grounded on a social co-governance perspective and investigated the food fraud key influencing factors and their interrelationships in an emerging food market - China, by using the DEMATEL-based analytic network process (DANP). Results showed that the identified key cluster was government regulation, social governance, and detection techniques. Four other key factors were also identified, including government regulatory capability and penalty intensity, expected economic benefits, maturity of market reputation mechanism, and transparency of supply chain. Policy implications from the social co-governance perspective for China and similar economies are discussed finally.
食品欺诈不仅加剧了人类公共健康风险，还威胁着食品及相关行业的业务发展。因此，如何有效遏制食品欺诈已成为政府、行业和消费者的关键问题。以往研究表明，企业食品欺诈受到利益相关者复杂系统中各层次因素的共同影响。为了解决企业食品欺诈问题，有必要确定关键因素并阐明功能机制，以及对集群和因素之间的相互关系进行系统分析。因此，我们基于社会共治视角，运用基于 DEMATEL 的分析网络过程（DANP），研究了新兴食品市场——中国的食品欺诈关键影响因素及其相互关系。结果表明，确定的关键集群是政府监管、社会治理和检测技术。还确定了另外四个关键因素，包括政府监管能力和处罚力度、预期经济效益、市场声誉机制成熟度和供应链透明度。最后，从社会共治的角度探讨了对中国和类似经济体的政策意义。
