Search Results (376)

Provincial cold-chain investment decisions must reconcile food-loss prevention, digital visibility, logistics capability and the environmental burden of freight-intensive growth. This study develops a sustainability-oriented readiness–intensity framework for 31 provincial-level regions in mainland China. The baseline model uses 14 auditable public-data criteria and combines Criteria Importance Through Intercriteria Correlation (CRITIC) with the standard Combined Compromise Solution (CoCoSo) algorithm. Because the observations combine 2024 statistics, a 2023 digital-finance index and the cumulative 2020–2025 cold-chain-base list, the design is described as an asynchronous cross-sectional snapshot rather than a single-year panel. Municipal sewage and green-space variables are interpreted as regional enabling capacity, not direct cold-chain environmental performance; road freight turnover relative to gross domestic product is treated as a cost-type freight-intensity transition-pressure proxy. A separate diagnostic replaces the earlier inverse-size term with logistics residuals conditional on agri-food output. Shandong, Guangdong, Jiangsu, Henan and Zhejiang form the leading demonstration-readiness group. Equal-weight CoCoSo closely matches the CRITIC result (Spearman ρ = 0.996), while TOPSIS and VIKOR retain the broad ordering but expose local method sensitivity. Dropping either digital criterion, removing the three indirect green proxies, winsorizing the normalization range, varying the CoCoSo compromise parameter and substituting 2022 digital data do not alter the leading pattern. Under an assumed 5% indicator-error perturbation, Shandong and Guangdong remain within ranks 1–2, whereas the ordering of several adjacent provinces is less secure. The framework supports sequenced investment packages rather than a deterministic league table and distinguishes demonstration-ready, scale-led, intensity-led and coverage-building contexts. Full article

As the global agri-food system faces escalating climate-related challenges, developing localized low-carbon short food supply chains (SFSCs) has become a vital strategy for sustainable agriculture. To elucidate the psychological drivers of green consumer behavior within this context, this study integrates the Stimulus–Organism–Behavior–Consequence (SOBC) framework with the Theory of Planned Behavior (TPB). The aim is to investigate the continuous purchase intentions of Taiwanese consumers for organic cocoa. Data collected via an online survey from 377 consumers with prior cocoa consumption experience were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that personal attitudes and perceived behavioral control positively drive consumption intentions, whereas subjective norms do not. This suggests that consumption behaviors rely on substantive product evaluation rather than social pressures. Additionally, green product attributes and environmental values significantly enhance TPB constructs. Importantly, consumption intentions translate positively into perceived consumer effectiveness and continuous purchase intentions. By elucidating the psychological mechanisms underlying sustainable food choices, this study highlights the value of Taiwan’s “Tree-to-Bar” model. Practically, the findings highlight potential implications for policymakers and agribusinesses regarding how environmental attributes are communicated through front-of-pack (FOP) labels that emphasize local production and low-carbon mileage. Such approaches may help make environmental information more accessible to consumers, although their effectiveness should be evaluated in future research. Full article

Malaysia’s upstream poultry supply chain, comprising broiler farms, hatcheries, and breeder operations, faces persistent barriers to circular economy (CE) adoption despite growing national policy support. Existing literature has focused predominantly on quantitative assessments of CE performance, leaving a critical gap in contextual, institutional-level understanding of why CE practices remain selectively and unevenly implemented. This paper reports findings from an exploratory qualitative study involving nine semi-structured in-depth interviews with informants drawn primarily from institutional and regulatory stakeholder categories: regulatory agencies (Department of Veterinary Services Malaysia, DVS), industry associations (Federation of Livestock Farmers’ Associations of Malaysia, FLFAM), marketing and distribution agencies (Federal Agricultural Marketing Authority, FAMA), research institutions (Malaysian Agricultural Research and Development Institute, MARDI), one private sector operator, and academic informants. Thematic analysis reveals five interconnected themes that collectively explain CE implementation gaps as seen from this institutional vantage point: (1) fragmented internal coordination as the primary operational barrier, (2) policy-practice misalignment between regulatory intent and operational realities, (3) the awareness-to-action deficit in CE conceptualisation, (4) differentiated capability constraints across enterprise scales (reported mainly through an industry-association intermediary rather than smallholders directly), and (5) the digital-circular complementarity gap raised by a minority of informants (4 of 9). The study makes three contributions: it generates an institutional-level, qualitative account of CE barriers and enablers for Malaysia’s upstream poultry sector from an institutional perspective; it introduces the concept of capability-sensitive CE governance, situated relative to related constructs such as the dynamic capabilities view, absorptive capacity, and the Technology–Organisation–Environment (TOE) framework, as a novel theoretical construct grounded in empirical evidence; and it proposes a preliminary Circular Economy Implementation Readiness Model (CEIRM), offered as a basis for future validation rather than a tested framework, that outlines a staged, practical pathway for CE adoption at the enterprise level. Findings have exploratory implications for policymakers, agri-food managers, and researchers engaged in circular transitions in developing-economy food systems. Full article

The agri-food sector generates significant quantities of by-products and waste biomass, representing both an environmental challenge and an opportunity for resource recovery within a circular bioeconomy. This study developed a decision-support framework for the sustainable valorization of major residues from the Italian agri-food sector. Following a Material Flow Analysis (MFA) of multiple Italian agri-food supply chains, tomato and grape supply chains were selected as representative case studies because they generated the largest quantities of valorizable by-products among the agri-food sectors evaluated, namely tomato pomace and grape marc. MFA based on FAOSTAT and PRODCOM data (2019–2023) was combined with a literature review to assess biomass availability and physicochemical characteristics. The analysis identified tomato pomace and grape marc as the predominant residues. Tomato pomace showed high moisture content (63.34%), balanced organic composition, and a favorable C/N ratio, supporting its suitability for anaerobic digestion with an average biomethane potential (BMP) of 0.143 m³ CH₄/kg TVS. Conversely, grape marc exhibited a carbon-rich lignocellulosic structure, with a carbon content of 47.67%, C/N ratio of 24.73, and BMP of 0.195 m³ CH₄/kg TVS, favoring thermochemical conversion pathways, particularly pyrolysis. The framework also highlights the importance of cascading strategies, prioritizing the recovery of high-value compounds, and pretreatment approaches to improve biomass conversion efficiency. Overall, this approach supports optimized resource recovery and sustainable agri-food waste management. Full article

Background: Perishable agri-food supply chains require logistics networks that remain economically viable despite fluctuations in demand, transportation costs, and market prices. This study develops and evaluates a two-echelon logistics network for the banana supply chain in Magdalena, Colombia. Methods: A mixed-integer linear programming model was formulated to maximise daily profit by jointly determining collection-centre activation and product flows among 14 producers, five candidate collection centres, and two commercial buyers. The deterministic solution was complemented by sensitivity analysis and 1000 Monte Carlo optimisation scenarios incorporating variability in demand, transportation costs, and selling prices. Results: Under nominal conditions, all five collection centres were activated, the full demand of 42,000 kg/day was served, and the optimal profit was USD 3093/day. Centres C1–C4 operated at full capacity, whereas C5 reached 42.9% utilization. Under uncertainty, the mean profit decreased to USD 1955.70/day, the mean unmet demand was 954.03 kg/day, and shortages occurred in 72.3% of scenarios. C1–C4 remained the network core, while C5 acted as a flexible contingency facility. Conclusions: The proposed framework reveals an efficiency–resilience trade-off overlooked by deterministic optimisation. Demand growth and capacity reductions are the principal operational risks, supporting investment in collection capacity and proactive demand management. Full article

Sustainable agri-food value chains depend on the capacity of smallholders to participate in markets in stable, remunerative and upgrade-oriented ways, yet in conflict-affected and politically constrained settings this capacity is weakened by mobility restrictions, insecure logistics, payment disruption, volatile inputs, thin market information and uncertain enforcement. This study aims to explain how such constraints reshape smallholder market integration and under what conditions governance and institutional arrangements stabilize, rather than reproduce, market exclusion. An integrative review was conducted following established methodological guidance. A structured search of Scopus, Web of Science and Google Scholar, extended by citation tracing, returned 821 records; after de-duplication and two-stage screening against explicit eligibility criteria, 44 studies were retained, of which 35 empirical studies form the evidence corpus. Each study was coded with a five-field extraction matrix across seven diagnostic dimensions—inputs and supplies, production capacity and technology, end-markets and trade, value-chain governance, sustainable production and energy use, value-chain finance, and the business and socio-political environment—and appraised for methodological quality with the Mixed Methods Appraisal Tool, so that heterogeneous designs were weighted rather than treated as equivalent. The synthesis shows that the most binding constraints are transactional and institutional rather than purely technical, and that governance operates as a conditional bridge: cooperatives, contracting, trader coordination, market-support institutions and public enabling arrangements lower transaction costs and stabilize exchange only where transparency, credible enforcement, fair risk-sharing and protection against opportunism are present; where these are absent, the same arrangements shift risk onto farmers. The review derives a measurement-focused, equity-sensitive research agenda for resilient and sustainable value-chain integration under constraints. Full article

Agri-food systems are increasingly exposed to environmental, economic, and social challenges, including climate change, biodiversity loss, resource depletion, and growing territorial inequalities. In this context, agroecology is increasingly recognised as a transformative paradigm integrating ecological, economic, social, cultural, and political dimensions within broader processes of food-system transition. Within the PRIMA AgrEcoMed project, 24 Italian agroecological initiatives led by women and young farmers were analysed to explore their contribution to agroecological transition processes in Mediterranean rural areas. The study adopts a qualitative multiple-case study approach and evaluates the selected initiatives through the framework of the 13 Principles of Agroecology proposed by the High-Level Panel of Experts on Food Security and Nutrition, organised into three operational axes: improving resource efficiency, strengthening resilience, and ensuring social responsibility and fairness. The results show that the analysed initiatives combine ecological farming practices with processes of multifunctionality, territorial networking, knowledge co-creation, short supply chains, and community engagement. The findings suggest that several initiatives move beyond input-reduction strategies associated with “weak agroecology” and display characteristics consistent with stronger agroecological pathways based on territorial embeddedness, collective learning, and the reorganisation of relationships between production, consumption, and local communities. The paper highlights the relevance of agroecology not only as an environmentally sustainable farming approach, but also as a broader socio-ecological and territorial transition process, as well as the importance of policy frameworks to support territorial agroecological systems. Full article

Agriculture plays a fundamental role in ensuring global food security in the context of a growing population; however, it is also responsible for the substantial consumption of natural resources and greenhouse gas emissions. In this context, the adoption of sustainable practices represents a key strategy to improve agri-food supply chains, including the citrus sector. This study applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to conduct a systematic review aimed at assessing the economic value generated by environmental, social, and economic sustainability practices along the citrus supply chain. The analysis focuses in particular on the role of sustainability certifications, examining both their potential benefits and the constraints associated with their adoption for producers and markets. Positioned at the beginning of the supply chain, producers play a pivotal role in the adoption of sustainable practices, whereas consumers, at the end, are instrumental in assigning market value to sustainability attributes through their purchasing decisions. The results highlight that, although consumer interest in ethical and environmentally friendly citrus products is increasing, this demand is often constrained by the lack of clear, standardized, and easily interpretable sustainability indicators. The review also reveals a significant imbalance in the existing literature, with economic assessments predominantly focused on environmental and production-related outcomes, while the economic value generated by social sustainability practices remains largely unexplored. Moreover, the review emphasizes the strategic role of policymakers in fostering sustainable transitions by providing economic incentives and facilitating access to finance, particularly for smallholders. Overall, the findings suggest that sustainability can generate economic value in the citrus supply chain; however, its effectiveness strongly depends on market recognition, certification credibility, supply chain organization, and institutional support. Full article

(1) Background. Food sovereignty and local sustainability are ensured by large agro-industrial holdings and small-scale farms; this synergy forms a complementary model of the agrifood system. Maintaining this model’s balance requires the creation of a unified digital ecosystem that integrates all suppliers and consumers into production chains, thereby eliminating unnecessary intermediaries. (2) Methods. This study employs a comprehensive methodological framework, including systems analysis and mathematical modeling, to develop service algorithms. Object-oriented design and software engineering methods facilitated the development and implementation of a service-oriented architecture for the digital system. (3) Results. The study presents a multi-tier architecture featuring an integration bus based on a service-oriented approach. To implement direct supply-and-demand coupling strategies, the system integrates both internal services (microeconomic indicators) and external services (macroeconomic indicators). Additionally, a recommender system based on neural networks and mathematical models was developed to personalize consumer requests and manage product sales. (4) Conclusions. The software solution is consistent with the AgTech 4.0 concept and enables the creation of a seamless environment for interstate trade. The implementation of the system enhances the transparency of the “product footprint”, facilitates the redistribution of surpluses, and, consequently, contributes to price stabilization. Full article

Background: Given the disruption of the global market, technological factors are impacting food supply chains (FSCs). As a result, traceability is emerging as a potential solution for faster and more secure decision-making within FSCs. Methods: This research aims to define a traceability model for a shrimp food supply chain (FSC) in Ecuador using structural equation modelling which insists not only on the main factors that explain its overall performance but also on the effects of the changes in agents’ behaviours. The research was conducted between March and December 2025. A 41-item questionnaire was used for data collection and was administered to 73 stakeholders. The information was reduced and assembled in five main factors. A structural equation model was applied to explore the impact of agents’ coordination, digital transformations, and customer satisfaction on the traceability of the shrimp FSC. Results: The results show that customer satisfaction is broadly affected by the improvements in chain traceability. Furthermore, the results demonstrate the relevance of coordination, digitalization, and traceability as key factors for strengthening the FSC’s performance. Conclusions: The results could contribute to Sustainable Development Goals 12 and 17 and be applicable to other agri-food chains. Full article

To promote the sustainable development of agriculture and reduce resource waste, this paper investigates sustainable financing strategies for a green fresh agri-food supply chain. We employ a purely theoretical Stackelberg game model and numerical simulations based on hypothetical parameters to develop three financing models for a supply chain consisting of one capital-constrained farmer and one retailer, considering consumers’ dual sensitivity to product freshness and greenness. Analytical and numerical results reveal that: (1) with low financing rates, internal financing effectively alleviates under investment in preservation, leading to higher wholesale/retail prices. In a green-sensitive market, the resulting price premium compensates for cost increases, avoiding the “low quality–low price” trap under external financing. (2) The retailer’s total profit decreases as the internal financing rate rises; higher interest income cannot offset demand loss caused by reduced preservation effort. Thus, a low- or zero-interest strategy maximizes the retailer’s operational profit. (3) As consumer sensitivity to freshness and greenness increases, profit growth under internal financing displays convexity. However, under extremely high freshness sensitivity, external financing yields stronger marginal incentives, suggesting that retailers should adjust profit allocation in the high-end market. The findings provide theoretical guidance for financing mode selection and practical insights for promoting green agricultural sustainable development. Full article

International agri-food trade and climate change interact in ways that have significant implications for supply chain resilience and food sovereignty, yet these interactions remain insufficiently understood at the level of specific traded commodities. This paper analyses European fresh orange imports over 2012–2022 using a unit value decomposition applied to FAOSTAT and Eurostat bilateral trade data, alongside a seasonal supply analysis of monthly import flows from the main exporting regions. The analysis documents a pronounced geographic reorientation of global orange production toward developing and emerging economies in North Africa, Southern Africa, and South America, many of which face documented climate-related stressors. The unit value decomposition identifies how exporter-level unit values and import share reallocations contribute to changes in regional import unit value indices. The seasonal supply analysis shows that the European orange supply depends on a tight sequence of regional exporters operating in largely non-overlapping seasonal windows, leaving limited redundancy if disruptions occur in any single supplying region. These findings provide a descriptive, origin-disaggregated account of Europe’s trade-side exposure in fresh orange supply chains. They underscore the need for product-specific monitoring tools and policy approaches that consider seasonal import dependence, supplier concentration, and the climate vulnerability of major origin regions, while recognising that the present analysis does not estimate causal climate effects. Full article

Small- and medium-sized enterprises, especially in the agricultural food sector, struggle to implement end-to-end product traceability systems, such as enterprise resource planning (ERP), due to the high costs and complexity involved for businesses of this scale. As customer expectations and regulatory requirements place an increasing emphasis on traceability and transparency, the combined use of industrial Internet of things (IIoT) technologies and blockchain-based smart contracts offers a promising pathway to cost-effective automation of supply chain processes. This paper develops a conceptual, multi-layer architecture that integrates sensing, communication, integration and smart-contract layers to support affordable, automated and extensible traceability for agri-food supply chains. Building on information processing theory and transaction cost economics, the framework explains how such architecture can reduce information uncertainty, lower monitoring costs and strengthen the organisational trust in agri-food supply chains. The framework is empirically illustrated and tested through an implementation that links distributed sensing infrastructure with a blockchain-based smart contract in a real agricultural supply chain setting. The evaluation assesses operational performance, data integrity and cost-efficiency, demonstrating that the proposed architecture can serve as a viable alternative or most importantly complement to traditional ERP solutions for small- and medium-sized enterprises that seek end-to-end traceability, transparency and automation. Full article

This study presents a gate-to-gate life cycle assessment (LCA) of an industrial sweet cherry sorting and packing facility in Greece, directly addressing environmental sustainability in agri-food supply chains through data-driven impact quantification and improvement pathways in post-harvest operations. The assessment focuses on a gate-to-gate system boundary encompassing all processes inside the cherry sorting and packing facility, while upstream cherry production and downstream waste management are modeled and reported separately to provide system-level context. Core-stage hotspots are then analyzed in detail in the Results section, highlighting the dominant role of electricity use compared with packaging materials. The functional unit is defined as 1 kg of packed, market-ready cherries at the factory gate. Primary data are obtained from high-resolution, batch-level measurements of mass flows, energy use, water consumption, packaging materials and waste streams over a full processing season, structured as virtual sensor outputs. These sensor-informed operational data are combined with secondary life cycle inventory information from established databases to quantify climate change impacts and identify environmental hotspots across materials, energy, water, and waste, thereby delivering a quantified picture of environmental performance in the post-harvest stage. The results show that corrugated cardboard and associated packaging components are among the main contributors within the facility-level, gate-to-gate system, while the Core stage accounts for 28.43% of total GWP100. Upstream cherry production dominates the overall Upstream–Core–Downstream climate footprint with 70.61% of total impacts. Moreover, practical mitigation scenarios are modeled, including packaging optimization, partial substitution of grid electricity with photovoltaic generation, and increased water recirculation. Ιn the combined mitigation scenario, where packaging optimization, low-carbon electricity and improved water management are implemented simultaneously, total GWP100 decreases from 114,207.32 to 92,500.27 kg CO₂-eq (−19.0%) relative to the baseline, providing actionable sustainability improvements for industry stakeholders and supporting Sustainable Development Goals (SDGs) related to climate action and resource efficiency. In addition, the proposed virtual sensor architecture and data workflow support continuous monitoring, eco-efficiency management and near-real-time LCA implementation in post-harvest agri-food systems, enabling operational sustainability. Full article

The valorization of agri-food by-products generated during juice extraction represents a key strategy within circular economy frameworks, as it reduces the environmental impact of waste disposal while creating added value and improving the food supply chain. In this work, five betaine-based natural deep eutectic solvents (NaDES) differing in their hydrogen-bond donors, namely citric acid, lactic acid, acetic acid, glycerol, and ethylene glycol, were used for the green extraction of blueberry pomace, a largely underutilized by-product that is nevertheless rich in bioactive compounds. The extracts were characterized by liquid chromatography coupled with diode-array and tandem mass spectrometric detection, allowing targeted profiling of anthocyanins and non-anthocyanin phenolics, including phenolic acids, flavonoids, and phenolic aldehydes. The extraction performance of NaDES was benchmarked against conventional solvents (water and ethanol) to evaluate differences in selectivity and efficiency toward distinct phenolic classes. Antioxidant capacity was determined using DPPH and ABTS radical scavenging assays. Among the NaDES systems, the betaine–citric acid NaDES extract exhibited notable phenolic recovery together with marked radical scavenging activity. After evaluating its inhibitory activity against elastase and tyrosinase, enzymes involved in the skin aging process, the selected NaDES extract was incorporated into a natural-based antiaging cosmetic formulation, and its main physicochemical properties were assessed to verify suitability for topical application. This study demonstrated that the use of NaDES represents an environmentally friendly and sustainable approach to transform blueberry by-products into high-value, safe, and ready-to-use cosmetic functional ingredients without the need for solvent removal. Full article