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Agriculture
Special Issues
Innovation and Sustainability in Agribusiness: Policies and Market Dynamics
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Innovation and Sustainability in Agribusiness: Policies and Market Dynamics

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Economics, Policies and Rural Management".

Deadline for manuscript submissions: 25 August 2025 | Viewed by 523

Special Issue Editors

Dr. Anna Uliano

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Guest Editor
Department of Law, Economics, Management and Quantitative Methods, University of Sannio, 82100 Benevento, Italy
Interests: consumer behavior; food science; innovation; sustainable agriculture
Dr. Marco Lerro

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Guest Editor
Department of Law, Economics, Management and Quantitative Methods, University of Sannio, 82100 Benevento, Italy
Interests: consumer behavior; food marketing; corporate social responsibility; sustainable agriculture
Special Issues, Collections and Topics in MDPI journals
Dr. Marcello Stanco

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Guest Editor
Department of Law, Economics, Management and Quantitative Methods, University of Sannio, 82100 Benevento, Italy
Interests: agrifood system; governance models; consumer behavior; sustainable innovation
Special Issues, Collections and Topics in MDPI journals
Dr. Concetta Nazzaro

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Guest Editor
Department of Law, Economics, Management and Quantitative Methods, University of Sannio, 82100 Benevento, Italy
Interests: rural development; value creation; corporate social responsibility; consumer behavior
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Innovation and sustainability are essential drivers of transformation in agribusiness, as they address the complex challenges of climate change, resource management, and rural development. In the ongoing Twin Transition, which combines digitalization and sustainability, agribusinesses can leverage innovative strategies and technologies to achieve economic growth and environmental resilience.

This Special Issue will bring together interdisciplinary research that explores the intersections of innovation, policy, and market dynamics in shaping the future of agribusiness. We invite contributions on a wide range of topics, including developing and adopting novel technologies, strategies for integrating sustainability into agribusiness practices, and the role of policies in fostering economic resilience and rural development. Research focusing on market dynamics, economic trends, and innovative approaches to achieving sustainable agribusiness is particularly welcome.

We encourage submissions of original research articles, systematic reviews, case studies, and interdisciplinary studies that provide valuable insights into how agribusiness innovation can support sustainable rural livelihoods and economic growth while addressing global environmental and social challenges.

Topics of interest include, but are not limited to, the following:

  • Economic and policy frameworks for sustainable agribusiness;
  • Innovation and value-added products in agribusiness;
  • Digital transformation in agriculture;
  • Consumer behavior and market strategies;
  • Climate-resilient agribusiness models and practices;
  • Policies for productivity, efficiency, and equity in rural communities.

This Special Issue will foster collaboration among researchers, policymakers, and practitioners, offering a platform to advance knowledge and drive innovation in agribusiness and sustainable rural development.

Dr. Anna Uliano
Dr. Marco Lerro
Dr. Marcello Stanco
Dr. Concetta Nazzaro
Guest Editors

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. Agriculture 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 2600 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

  • innovation in agribusiness
  • sustainable agriculture
  • agricultural policies
  • market dynamics
  • value-added products
  • smart innovation in agriculture
  • climate resilience
  • rural development
  • circular economy in agriculture
  • consumer behavior
  • AI in agriculture
  • rural livelihoods

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

16 pages, 272 KiB  
Article
Generational Preferences and Willingness to Pay for Antioxidant-Rich Pomegranates: Insights into Consumer Behavior and Market Potential
by Anna Uliano and Marco Lerro
Agriculture 2025, 15(11), 1162; https://doi.org/10.3390/agriculture15111162 - 28 May 2025
Abstract
This study investigates consumer preferences and willingness to pay (WTP) for antioxidant-rich pomegranates, focusing on the roles of product attributes and generational differences. A survey of 3019 Italian consumers assessed consumption habits, perceived barriers, and WTP for antioxidant-enriched pomegranates. A Best–Worst Scaling (BWS) [...] Read more.
This study investigates consumer preferences and willingness to pay (WTP) for antioxidant-rich pomegranates, focusing on the roles of product attributes and generational differences. A survey of 3019 Italian consumers assessed consumption habits, perceived barriers, and WTP for antioxidant-enriched pomegranates. A Best–Worst Scaling (BWS) analysis was used to identify key product attributes, and generational segmentation highlighted differences in consumer behavior. The results reveal a strong preference for locally sourced pomegranates and a high valuation of health-related attributes, particularly antioxidant content. However, several consumption barriers emerged, including taste preferences, peeling difficulty, and limited product availability. While older generations, especially Baby Boomers, prioritize antioxidants for their health benefits, younger generations (Gen Z and Millennials) showed the highest WTP for antioxidant-enriched pomegranates, likely influenced by novelty seeking and engagement with food trends. These findings suggest that marketing strategies should emphasize both local origins and health benefits. From a policy perspective, supporting local agriculture and promoting the nutritional value of enriched foods could enhance consumer acceptance and expand the market potential. Full article
(This article belongs to the Special Issue Innovation and Sustainability in Agribusiness: Policies and Market Dynamics)
29 pages, 515 KiB  
Article
Artificial Intelligence Models for Bankruptcy Prediction in Agriculture: Comparing the Performance of Artificial Neural Networks and Decision Trees
by Dominika Gajdosikova and Jakub Michulek
Agriculture 2025, 15(10), 1077; https://doi.org/10.3390/agriculture15101077 - 16 May 2025
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Abstract
Debt levels are a crucial factor when assessing the financial stability of agricultural firms, and excessive indebtedness is usually the most important indicator of financial distress. As agriculture is a capital-intensive sector with a high reliance on borrowed funds, firms in this sector [...] Read more.
Debt levels are a crucial factor when assessing the financial stability of agricultural firms, and excessive indebtedness is usually the most important indicator of financial distress. As agriculture is a capital-intensive sector with a high reliance on borrowed funds, firms in this sector are more vulnerable to insolvency. This study examines the performance of artificial neural networks (ANNs) and decision trees (DTs) in predicting the bankruptcy of Slovak agricultural enterprises. In an attempt to compare the models’ performances, the most consequential indebtedness ratios are investigated through machine learning approaches. ANN and DT models are found to perform significantly better than traditional forecast methods. ANN achieved an AUC of 0.9500, accuracy of 96.37%, precision of 96.60%, recall of 99.68%, and an F1-score of 98.12%, determining its robust predictive ability. DT performed a little better on AUC (0.9550) and achieved an accuracy of 97.78%, precision of 98.69%, recall of 99.01%, and an F1-score of 98.85%, determining its predictive ability and interpretability. These findings confirm the potential for applying AI-based models to enhance financial risk assessment. This study provides informative results for financial analysts, policymakers, and corporate managers in support of early intervention strategies. Additional research would be required to explore state-of-the-art AI techniques to further refine bankruptcy forecasting and financial decision-making in vulnerable sectors like agriculture. Full article
(This article belongs to the Special Issue Innovation and Sustainability in Agribusiness: Policies and Market Dynamics)
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