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Food Security and Structural Transformation of the Food Industry—Volume II
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Food Security and Structural Transformation of the Food Industry—Volume II

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Security and Sustainability".

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 3683

Special Issue Editor

Prof. Dr. Linhai Wu

E-Mail Website
Guest Editor
School of Business, Jiangnan University, Wuxi, China
Interests: food safety risk management; food industry structural transformation; international food trade; food safety cross boundary governance; food safety societal co-governance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The COVID-19 pandemic has dramatically changed our way of life, including the way we interact with food. As we adapt to the new normal of the pandemic, the food industry is also undergoing profound structural transformation. For example, food security concerns such as fluctuations in the price of food, changes in the patterns of household and restaurant food waste, health risks introduced by take-out orders, etc., have arisen. Food security researchers have collected various data in order to investigate issues concerning food security. As a result, we feel that it is the right time to organize a Special Issue addressing food security and the structural transformation of the food industry. We are looking for papers that investigate issues regarding food security related to the impact of the pandemic, offer critical reflections and provide a forward-looking discussion on future expectations in the realm of food security.

Prof. Dr. Linhai Wu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green/sustainable development
  • food consumption
  • coronavirus disease 2019 (COVID-19)
  • food security
  • international food trade
  • food-related E-commerce
  • global food industry
  • carbon emissions and eco-friendly development
  • take-out food industry
  • dietary habits and health

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Published Papers (3 papers)

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Research

18 pages, 1057 KiB  
Article
Food Public Opinion Prevention and Control Model Based on Sentiment Analysis
by Leiyang Chen, Xiangzhen Peng, Liang Dong, Zhenyu Wang, Zhidong Shen and Xiaohui Cui
Foods 2024, 13(22), 3697; https://doi.org/10.3390/foods13223697 - 20 Nov 2024
Viewed by 626
Abstract
Food public opinion is characterized by its low ignition point, high diffusibility, persistence, and strong negativity, which significantly impact food safety and consumer trust. This paper introduces the Food Public Opinion Prevention and Control (FPOPC) model driven by deep learning and personalized recommendation [...] Read more.
Food public opinion is characterized by its low ignition point, high diffusibility, persistence, and strong negativity, which significantly impact food safety and consumer trust. This paper introduces the Food Public Opinion Prevention and Control (FPOPC) model driven by deep learning and personalized recommendation algorithms, rigorously tested and analyzed through experimentation. Initially, based on an analysis of food public opinion development, a comprehensive FPOPC framework addressing all stages of food public opinion was established. Subsequently, a sentiment prediction model for food news based on user comments was developed using a Stacked Autoencoder (SAE), enabling predictions about consumer sentiments toward food news. The sentiment values of the food news were then quantified, and improvements were made in allocating Pearson correlation coefficient weights, leading to the design of a collaborative filtering-based personalized food news recommendation mechanism. Furthermore, an enhanced Bloom filter integrated with HDFS technology devised a rapid recommendation mechanism for food public opinion. Finally, the designed FPOPC model and its associated mechanisms were validated through experimental verification and simulation analysis. The results demonstrate that the FPOPC model can accurately predict and control the development of food public opinion and the entire food supply chain, providing regulatory agencies with effective tools for managing food public sentiment. Full article
(This article belongs to the Special Issue Food Security and Structural Transformation of the Food Industry—Volume II)
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23 pages, 1935 KiB  
Article
Bilateral Trade Welfare Impacts of India’s Export Ban of Non-Basmati Rice Using the Global Partial Equilibrium Simulation Model (GSIM)
by Eihab Fathelrahman, Raeda Osman, Dana Loyd Keske Hoag, Gregory N. Sixt and Kenneth Strzepek
Foods 2024, 13(19), 3124; https://doi.org/10.3390/foods13193124 - 30 Sep 2024
Cited by 1 | Viewed by 1563
Abstract
India, the world’s leading rice exporter, banned the export of non-Basmati white rice, accounting for 25% of its total exports (or 10% of the global rice trade). The ban aims to ensure availability to domestic Indian consumers and reduce domestic market prices, impacting [...] Read more.
India, the world’s leading rice exporter, banned the export of non-Basmati white rice, accounting for 25% of its total exports (or 10% of the global rice trade). The ban aims to ensure availability to domestic Indian consumers and reduce domestic market prices, impacting global rice market accessibility, consumers, and producers across twelve regions. The study utilized the global simulation model (GSIM) to analyze the effects of trade restrictions on industries. The model uses national product differentiation to assess trade policy changes at global, regional, or national scales. It examined importer and exporter effects on trade values, tariff revenues, exporter surplus, and importer surplus. It found that India’s Voluntary Export Restraint (VER) ban on non-Basmati rice resulted in a higher local price and a negative global net welfare impact of USD 1.7 billion. The losses decreased to USD 1.4 billion when importing countries responded by reducing rice import tariffs by 25% and USD 1.1 billion when importing countries reduced tariffs by 75%. Sub-Saharan Africa, the Middle East, North Africa, and the Gulf Cooperation Council regions were most affected. The study also found minimal impact on consumer surplus in India due to inelastic rice demand. Full article
(This article belongs to the Special Issue Food Security and Structural Transformation of the Food Industry—Volume II)
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28 pages, 7118 KiB  
Article
Study on the Influences of Inter-Governmental Information Flow and Interdepartmental Collaborative Supervision on Pork Quality: A Case Study in China
by Linhai Wu and Zhiyu Chen
Foods 2024, 13(15), 2387; https://doi.org/10.3390/foods13152387 - 28 Jul 2024
Viewed by 828
Abstract
To study the influences of the degree of interdepartmental collaborative supervision on the behavioral strategy selection of pig farmers, pig slaughterers, and pork processing manufacturers in the pork supply chain system, this study established a three-party evolutionary game model involving pig farmers, pig [...] Read more.
To study the influences of the degree of interdepartmental collaborative supervision on the behavioral strategy selection of pig farmers, pig slaughterers, and pork processing manufacturers in the pork supply chain system, this study established a three-party evolutionary game model involving pig farmers, pig slaughterers, and pork processing manufacturers based on the social co-governance framework by focusing on the interdepartmental information sharing mechanism and cooperative governance. Here, we examined how the degree of collaborative supervision among government departments influences the behavioral strategy selection of these parties by focusing on key mechanisms such as information sharing and interdepartmental collaborative governance. Our findings revealed that within a social co-governance system, the strategic choices of the three entities in the pork supply chain closely correlate with the coordination level of collaborative supervision among government departments, particularly through information-sharing mechanisms. Additionally, the strategies are influenced by market-based contract supervision among entities, consumer reporting intensity, and the collaborative governance capabilities of the government, market actors, and consumers. Higher levels of social co-governance are associated with fewer risky links in the pork supply chain and reduced overall risk. Key factors affecting the behavioral strategy selection of the subjects in the pork supply chain include interdepartmental collaborative governance among government departments (e.g., optimizing random inspection frequencies, adjusting economic penalties, and disclosing enterprise market credit information via information sharing mechanisms), consumer complaint probabilities, and the intensity of mutual supervision among enterprises. Therefore, to enhance pork supply chain quality and mitigate risks, it is crucial to enhance the coordination of collaborative supervision among government departments, encourage consumer reporting, and improve market-based mutual supervision mechanisms among upstream and downstream subjects in the supply chain. Full article
(This article belongs to the Special Issue Food Security and Structural Transformation of the Food Industry—Volume II)
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