Search Results (458)

This study analyzes the competitive asymmetries and trade effects of the proposed EU–Mercosur Trade Agreement on the European Union’s (EU) and Polish agri-food sectors. The comparative analysis reveals that Mercosur holds a significant structural advantage driven by substantially lower labor costs, cheaper agricultural land, and a climate permitting multiple harvests. This cost advantage is further compounded by weaker regulatory standards (e.g., on pesticides and antibiotics). This structural edge is most pronounced in high-volume commodities, leading to Mercosur trade surpluses in products such as soybeans, sugar cane, and wheat, which pose the primary competitive threats to the EU market. Conversely, the EU maintains an intensive advantage through superior yields in intensive farming (e.g., maize) and specialization in high-value, processed products. This creates quantifiable export opportunities for EU/Polish producers in sectors where Mercosur is a consistent net importer, notably other frozen vegetables, preserved tomatoes, and apples. The findings confirm an asymmetric effect of liberalization, which necessitates a dual strategy of internal structural reform (e.g., the EU Protein Strategy) and the implementation of external protective mechanisms, including strategic Common Agricultural Policy (CAP) adaptations and safeguard clauses, to maintain the long-term competitiveness and Supply Chain Resilience of European agriculture. Full article

Pear cultivation in Greece, with an annual production of approximately 81,000 tonnes, constitutes a significant segment of the national fruit industry, particularly in Northern regions such as Macedonia and Thessaly. Despite ranking 8th in the EU in terms of pear production, Greece’s cultivated area is slightly declining, and adoption of smart agriculture technologies (SAT) remains limited. In this context, the present study investigates the preferences, patterns, and barriers of SAT adoption within the Greek pear sector, aiming to lay the groundwork for more effective digital transformation in the agri-food domain. Using a structured interview-based survey, data were collected from 30 pear growers, revealing critical insights into the technological landscape of the sector. A central challenge that emerged was the insufficient internet connectivity in rural farming areas, highlighting the urgent need for improved digital infrastructure to support SAT deployment. Furthermore, the study emphasizes the importance of targeted education and awareness programs to bridge the digital knowledge gap among pear farmers. An especially notable finding concerns the role of the chosen tree training system in influencing SAT uptake: more than 50% of adopters utilize the palmette training system, suggesting a strong correlation between orchard design and technological readiness. Among the SAT categories, Data Analytics and Farm Management Software were the most widely adopted, a trend partly driven by attractive governmental subsidies of €30 per hectare. Importantly, all respondents who had implemented SAT (100%) reported a measurable increase in farm income, reinforcing the technologies’ impact on productivity and profitability. Foremost among the challenges encountered is the deficit in technical knowledge and training. In conclusion, this study offers a comprehensive overview of Greek pear producers’ perceptions, challenges, and emerging opportunities related to smart agriculture. Full article

The agricultural sector is predominantly male, with approximately 30% of farms in the EU operated by women. The European Union Rural Pact, the Agri-Food Pact for Skills, and the Common Agricultural Policy have catalysed an increase in agricultural 4.0 research, with the role of women emerging as a subfield of sustainable agriculture. The primary objective of this paper is to evaluate the current literature on women’s roles in smart agriculture, examining the advantages of their participation as a digitally competent workforce that could catalyse improvements in productivity and resilience in rural areas and promote women’s empowerment. A bibliometric study was conducted utilising the Scopus database to fulfil the research objective. This led to the incorporation of 253 articles into the sample. The records were examined using performance analysis and bibliographic coupling (science mapping), facilitated by Biblioshiny 5.0 and VOSviewer 1.6.20 software. The primary findings elucidate essential concepts, predominant study themes, and the temporal progression of the research domain. The identification of numerous women’s role and socio-economic constraints affecting women, which are overlooked in the creation and implementations of technology advancements. Additionally, a research agenda was developed, alongside practical implications for managers and policymakers, to aid the formulation of inclusive agriculture 4.0 projects. Full article

As global agriculture seeks to reconcile the dual imperatives of food security and environmental sustainability, this study examines the role of Internet access in promoting green agricultural production, specifically by reducing fertilizer and pesticide use. Using a panel dataset from 16 rural fixed observation points in Henan Province from 2009 to 2022, we find that Internet access significantly lowers per-unit farmland expenditures on fertilizers and pesticides by 6.0% and 7.3%, respectively. Mechanism analysis reveals that these positive effects operate through three main channels: improved information accessibility delivers timely agricultural data and guides input decisions; enhanced technical learning efficiency reduces barriers to adopting green technologies; and stronger market connectivity via e-commerce platforms shortens supply chains and provides price incentives. Heterogeneity analysis further identifies more pronounced effects among farmers with higher human capital (higher education, better health, younger age), higher production capital (greater mechanization, larger farmland, stronger decision-making capacity), lower livelihood capital (lower income, lower consumption, less communication expenditure), and higher spatial capital (residing in urban suburbs, poverty registration villages, and traditional villages). This study provides micro evidence for digital technology to empower sustainable agricultural development and provides policy implications for building a sustainable agri-food system. Full article

Traditional Life Cycle Assessment (LCA) often provides single-point estimates that lack the statistical rigour required for high-stakes investment decisions in the agri-food sector. To bridge the gap between data uncertainty and actionable management, this study proposes a robust decision-support framework integrating Monte Carlo uncertainty analysis with inferential statistics (ANOVA and Tukey HSD). We applied this methodology to the industrial production of Dictyophora rubrovolvata, a climate-sensitive crop representing the “energy–food nexus.” The study aimed to distinguish genuine environmental performance differences from background data variability. The probabilistic modelling revealed that electricity consumption is the paramount ecological hotspot. Furthermore, the statistical tests confirmed that differences in regional grid composition generate significant variances in impact categories (p < 0.001), validating that the environmental benefits of low-carbon grids are systematic and robust. By transforming complex uncertainty data into clear statistical hierarchies, this framework enables producers and policymakers to identify and prioritise high-impact sustainability levers with confidence, providing a generalisable blueprint for the environmental management of energy-intensive agricultural systems. Full article

This study analyzes the establishment of Local Agri-Food Systems (LAFSs) in the triple-border region between the states of Minas Gerais, Rio de Janeiro, and São Paulo, by identifying and mapping potential areas of primary peasant agri-food production. An integrated analysis of data sources was treated, processed, and integrated into a common spatial support. Land use and land cover data were used from demographic and agricultural censuses, from the Rural Environmental Registry, agrarian reform settlement projects and conservation units. Our study revealed that 23.73% of the regional area has potential for peasant production, identifying four regions that stand out in terms of this potential. The area presented livestock and animal husbandry as the main agri-food chain, with potential for processing within the territory itself, in addition to extractive activities in the Atlantic Forest biome. The results indicate that there are possibilities for the establishment of LAFSs as a local development strategy associated with social inclusion and environmental responsibility, although there is a need to expand and strengthen the transportation and marketing channels for products from these short chains. The cartographies produced aim to contribute as auxiliary instruments to land use planning and management, seeking to strengthen LAFSs at different scales of governance. Full article

The methodological frameworks applied in the Colombian Amazon to study emerging agri-food systems are insufficient, as they often employ linear models that fail to recognize the importance of small-scale producer networks that depend on the integration and cooperation of other actors to form part of a value chain. In this study, the value network (VN) perspective was applied to characterize four Amazonian fruits identified as emerging agricultural economies in rural communities: Seje (Oenocarpus bataua), Asaí (Euterpe precatoria), Moriche (Mauritia flexuosa), and Peach palm (Bactris gasipaes). The research was conducted in the Amazonian department of Guaviare, where economic momentum around value networks of Amazonian fruits has emerged in recent years. The framework proposed by Sprinzer-Heinze was adapted, using the social, economic, institutional, and environmental dimensions instead of linear chains to analyze the value networks (VNs). Data collection combined participatory workshops, surveys, and interviews with key actors involved throughout the value network, and an index was constructed to compare the networks and identify their strengths and weaknesses. The study was complemented with social network analyses to assess the levels of cooperation among key actors across each product’s value network. The findings reveal that value networks have emerged as an institutional attempt to implement a strategy aimed at enhancing rural livelihoods and promoting economic initiatives with a lower impact on deforestation. Nevertheless, further actions are required to strengthen such networks, as their performance remains weak in aspects such as environmental sustainability, technological upgrading, innovation, and institutional and social support. Social network analysis revealed a common structure characterized by interconnections among producers, associations, and institutions across all value networks. However, these actors need to develop a more robust network culture to better coordinate their actions and ensure long-term sustainability. Full article

Digital economy has profoundly reshaped the global trade landscape, yet its implications for agricultural trade, particularly in major agricultural trading countries, remain relatively underexplored. Using provincial panel data from China covering the period from 2013 to 2023, this study investigates whether digital economy development in China’s agricultural trade generates a digital dividend or instead exacerbates a digital divide. We construct a unified analytical framework and employ two-way fixed-effects models to identify the effects and underlying mechanisms. The results indicate that digital economy development significantly enhances overall agricultural trade performance. Mechanism analyses further show that this effect operates primarily through improvements in agricultural total factor productivity and the upgrading of rural human capital. Notably, the trade-enhancing effects of the digital economy exhibit pronounced regional heterogeneity. These effects are concentrated mainly in eastern and northern regions and are substantially stronger in non-grain-producing areas, while remaining statistically insignificant in central and western regions. This study contributes to the literature by providing a regionally differentiated assessment of the relationship between the digital economy and agricultural trade. It also offers policy implications for narrowing the digital divide through coordinated investments in digital infrastructure, productivity enhancement, and human capital accumulation. Full article

The establishment of Green Agricultural Development Pilot Programs (GAPPs) is a strategic initiative aimed at advancing agricultural green transformation in China. It plays a crucial role in transitioning the production methods of family farms to more sustainable practices and facilitating their high-quality development. China Academy Agri-Research Database (CCAD) has been used to assess the production efficiency of family farms in this study. Furthermore, the study examines the impact mechanisms and effects of establishing GAPPs on the production efficiency of family farms. The results show the following: (i) The average production efficiency of family farms in China is 0.424, indicating that further improvements are required. (ii) The GAPPs significantly enhance the production efficiency of family farms through three synergistic mechanisms: technological integration, institutional innovation, and demonstration-driven effects. This finding is statistically confirmed by endogeneity tests and robustness checks. (iii) The heterogeneity analysis indicates that the establishment of GAPPs makes a more pronounced effect on enhancing the production efficiency of family farms in the western region, where internet penetration remains relatively low. Overall, the findings demonstrate that implementing GAPPs contributes significantly to improving the productivity of family farms. So, it is necessary to continue improving the pilot policies to promote the sustainable development of agriculture in China. Full article

The capacity of the Valencian fruit and vegetable sector (i.e., cooperatives) to absorb knowledge has been analysed, as well as the influence of this capacity on the adoption of technological innovations and production processes. This objective is motivated by the multiple challenges currently facing the agricultural sector. The dominance of large distribution chains and competition from products imported from other countries have increased production costs without a proportional increase in income. The study was conducted with a sample of 14 fruit and vegetable companies and cooperatives. This study explored how these organisations acquire and assimilate knowledge from abroad and the barriers they face in this process. The results reveal that the extent of assimilation is fundamental to transforming potential absorption capacity into reality. Acquiring knowledge is not the problem, given the abundance of information available. The challenge lies in discerning which knowledge is relevant and aligning it with the needs of the organisation and its customers. The importance of generational change and team dynamics in knowledge consolidation is evident. The importance of effectively managing knowledge assimilation for the success of innovation in agri-food cooperatives is highlighted. In addition, common barriers to the implementation of innovation are identified. The lack of gender diversity is evident in the leadership profiles of cooperatives, highlighting the need for future research addressing absorptive capacity from a gender perspective. Full article

The Mercosur countries (also known as the Southern Common Market countries) and the European Union (EU) Member States are two major global agri-food exporters whose production structures, patterns of specialisation and sustainability standards differ significantly. The upcoming entry into force of the EU–Mercosur Partnership Agreement (EMPA) may alter competitive conditions in the EU agri-food markets, as its most important component—the EU–Mercosur Interim Trade Agreement—provides for tariff liberalisation. The aim of this article is therefore to compare the agricultural production potential of Mercosur and the EU countries using a set of indicators grouped into production factors (land, labour and capital), productivity, production structure, and qualitative sustainability-related factors. The analysis employs comparative and dynamic statistical methods (including compound annual growth rates and measures of variability). The study is based on FAOSTAT data for 2018–2023, complemented by information on regulatory frameworks and EMPA provisions. The results show that agriculture in Mercosur is land-abundant, cost-efficient, and oriented toward export-driven livestock and commodity production, while the EU is characterised by higher capital intensity and significantly higher land and labour productivity. These structural asymmetries, reinforced by lower input costs and less stringent production standards in Mercosur, suggest increased competitive pressure in the EU market after EMPA implementation, particularly in beef, poultry, sugar and ethanol. The findings highlight the need for continuous monitoring of market dynamics and, where necessary, the activation of safeguard mechanisms. The study provides also an updated evidence base to support policymakers in assessing the implications of the EMPA. Full article

Background/Objectives: Nitrogen (N) and phosphorus (P) are essential macronutrients for crop production. However, their losses throughout the agri-food system pose significant environmental and public health risks. India, with its diverse dietary cultures and large agricultural sector, presents a unique context for evaluating nutrient footprints. This study aims to provide the first sub-national assessment of food-related N and P footprints across Indian states and union territories, evaluating how vegetarian and non-vegetarian diets influence these footprints. Methods: This study employed a diet-sensitive bottom-up approach using national dietary consumption statistics from 2011–2012 to estimate food N and P footprints. The analysis incorporated regional dietary profiles and nutrient use efficiencies in crop production, along with food waste data, to quantify the affecting factors. Results: The national average food footprints were estimated at 13.11 kg-N capita⁻¹ year⁻¹ and 1.16 kg-P capita⁻¹ year⁻¹, with sub-national variation ranging from 52% to 144% of the national average for N, and 46% to 166% for P. Regions with prevalent non-vegetarian diets exhibited significantly higher footprints than those with vegetarian diets. Low nutrient use efficiencies (NUE 19%, PUE 31%) and consumer-level food waste (contributing nearly 4%) were also identified as key drivers of elevated footprints. Conclusions: The findings indicate that dietary choices, agricultural nutrient management, and food waste practices collectively contribute to the nutrient-related risks in India. Enhancing nutrient use efficiency, promoting plant-based diets, and improving waste management in culturally and regionally sensitive ways are crucial for reducing N and P losses. These findings provide actionable insights for the development of sustainable nutrition and agro-environmental policies. Full article

The transition toward sustainable, resource-efficient production has become a key challenge for agri-food systems, particularly in emerging economies, where profitability and environmental goals must be balanced. This study aimed to examine the relationship between financial structure, macroeconomic conditions, and circular economy (CE) indicators in determining the profitability of Serbian agri-food enterprises. Using panel data for 625 firms from 2014 to 2021, a two-step system GMM model was applied to control for endogeneity and firm-specific effects. The results indicate that in agriculture, moderate leverage enhances profitability, while excessive debt reduces it. Recycling and efficiency-oriented circular practices have a positive and significant effect on financial performance, suggesting that resource-efficient management supports long-term profitability. In the food industry, profitability shows strong persistence but remains mainly driven by internal and economic factors, with CE indicators exerting weaker short-term effects. Robustness tests confirm the validity and stability of the estimates. Overall, the findings highlight that integrating circular economy principles into business strategies can contribute to both financial sustainability and more efficient resource use in the agri-food sector. Full article

Sustainable agriculture is a key pillar of the transition to agri-food systems that ensure global food security and the preservation of resources and ecosystems. This study evaluates the environmental impacts of different soil management practices in an agricultural system producing energy crops (maize and sorghum), using a Life Cycle Assessment (LCA) approach, comparing conventional tillage, minimum tillage and no-tillage agricultural practices. The results show no significant differences between conventional and minimum tillage in most impact categories, while no-tillage shows a significant reduction in environmental impact of almost 50%. The hotspot analysis shows that organic fertilisation, especially the application of digestate, is the main contributor to environmental impacts, particularly in the Climate Change and Eutrophication categories. The results highlight key methodological challenges in LCA, such as the allocation of impacts between digestate and biogas production, and the need to integrate biological and chemical soil processes. While conservation agriculture can improve soil health, its environmental benefits are not fully captured by LCA. This study highlights the need to integrate LCA methodologies with complementary analyses to better assess the sustainability of agricultural practices and support informed decision-making. Full article

In this study, the characterization, production, and application of antifungal metabolites obtained from the Levilactobacillus (L. brevis S27) and two Lactiplantibacillus (L. pentosus S42 and L. plantarum S62) strains were evaluated. The lactic acid bacteria (LAB) cells showed antifungal activity against molds. The cell-free supernatant (CFS) of Levilactobacillus and Lactiplantibacillus presented antimicrobial activity against fungi and foodborne pathogenic bacteria, and the antifungal activity was significantly (p < 0.05) higher than that of the antibacterial activity. Moreover, the antifungal metabolites were characterized as proteinaceous compounds that remained stable under both high and low temperatures and demonstrated activity across a broad pH range. Additionally, metabolite production was significantly higher (p < 0.05) at an initial pH of 5 when incubated at either 25 °C or 37 °C. All strains and their CFSs exhibited strong bio-preservative effects against Penicillium digitatum in yogurt and against Aspergillus niger on orange fruit. Consequently, these Lactobacilli strains and their antifungal metabolites represent a novel approach to biocontrol in the agri-food industry and agricultural products. Full article