Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Wentai Bi has a total of 12 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Voluntary Food Safety Disclosure and Government Grants: The Greater Food Approach Perspective

    by Wentai Bi, Jie Huan, Peihang Zhang, Xudong Guo, Qi Qi, Yuan Liang

    Voluntary information disclosure is an important bridge between firms and external stakeholders. Based on the data of listed food companies from 2008 to 2022, this study examines the impact of voluntary food safety information disclosure on the government's resource allocation decisions from the perspective of the greater food approach. Such disclosure has a resource‐acquisition effect and can significantly increase the level of government grants. The aforementioned effect that is “not what it says on the tin” is only effective in the short term and does not allow for sustained benefits to be realized. The mechanism test established that the positive relationship between disclosure and government grants is significantly inhibited by market attention. Further research finds that this positive association is more pronounced among small‐scale and ordinary urban firms, with the types concentrated in revenue‐related government grants. This research enriches the literature on the economic consequences of voluntary disclosure and provides empirical evidence for the government to accurately screen firms' food safety status and information manipulation.


  • Open Access

    Research on the Supervision Mechanism of Voluntary Food Safety Information Disclosure: An Evolutionary Game Analysis

    by Wentai Bi, Suyun Chen, Panpan Zhu, Zongze Li, Qingzi Cao

    Food safety is a significant livelihood and critical social security issue. However, few people are aware of the interests of multiple actors in the voluntary disclosure of food safety information. In order to solve the “market failure” and “government failure” caused by information asymmetry in the Chinese food market, this study constructs a game model of voluntary food safety information disclosure consisting of food enterprises, consumers, and the government. Stable equilibrium points and optimal decision-making strategies under different constraints were analyzed using replicated dynamic equations. Matlab software was used to simulate the game model to examine the interaction of the three parties in strategy selection, and an econometric model was used for empirical testing to clarify the interaction between the interests and behaviors of each party. The study results show that the interests of food enterprises, consumers, and the government and the realization of their claims have become critical constraints on food safety. Food enterprises are responsible for the voluntary disclosure of food safety information. Consumers and governments should strengthen collaborative supervision and linkage mechanisms to actively guide them toward substantive information disclosure. Government penalties, consumer subsidies, and food enterprises rewards for substantive information disclosure strategies can effectively promote substantive information disclosure by food enterprises. Therefore, this study contributes to a comprehensive understanding of the micro-mechanisms and differential impact effects of voluntary food safety information disclosure and provides a reference for decision-making to improve the quality of voluntary corporate food safety information disclosure and promote the modernization of the food safety governance system and governance capacity.


  • Open Access

    Review of: "SECURE II: Unlocking the Potential of Artificial Intelligence for Entrepreneurial Success"

    by Wentai Bi

    Very wonderful article, it inspired me a lot.Very wonderful article, it inspired me a lot.Very wonderful article, it inspired me a lot.

  • Open Access

    Food Consumption Structure and Food Security—Through Mediating Effect Analysis of Agricultural R&D and Agricultural Investment

    by Wentai Bi, Yu Song, Yang Liu, Zongze Li, Ying Zhang

    Food security is the cornerstone that ensures the stable development of a country. Based on panel data of 31 provinces (including autonomous regions and municipalities) in China from 2015 to 2019, we use the mediating effect model to explore the mechanism by which food consumption structure affects food security. The results indicate that grain consumption has a significant promoting effect on food security, while plant and animal food consumption have significant inhibiting effects on food security. Furthermore, agricultural R&D and investment play mediating roles in the impact of food consumption structure on food security. Obvious differences exist in the relationship between food consumption structure and food security between urban and rural areas, as well as between Eastern, Central, and Western regions. Animal food consumption had a negative and significant impact on food security, with a stronger effect on rural residents than on urban residents. Compared with the central and western regions, grain consumption and animal food consumption in the eastern region had a stronger marginal impact on food security. This paper enriches and expands the research on influencing factors of food security from the perspective of consumer demand, which has important theoretical value and practical significance for ensuring food security.


  • Open Access

    Risk Assessment of Operator’s Big Data Internet of Things Credit Financial Management Based on Machine Learning

    by Wentai Bi, Yuan Liang

    Credit risk evaluation innovation is of incredible importance to monetary establishments. AI innovation can fundamentally work on the precision and versatility of credit risk evaluation. This paper aims to study the risk assessment of operator big data Internet of Things credit financial management based on machine learning. It proposes machine learning-related algorithms, including the introduction of logistic model and decision tree model, as well as related concepts of credit financial management risk. This paper proposes that big data can be better used to reduce financial risk management problems and proposes specific actions based on the actual situation of the company. This paper selects company A for financial risk management evaluation through case analysis and compares it with three major e-commerce companies. The experimental results show that the earnings per share of company A is between −0.99 and 0. Company A is still in a state of loss in recent years, and there are certain debt risks, operational risks, and capital risks.