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The challenges smallholders face in agricultural management between developed and developing countries differ and can also impact the smallholder's well-being. The purpose of this study is to identify factors that affect the well-being of smallholders. We conducted a systematic literature by applying the Preferred Reported Item for Systematic Review and Meta-Analysis (PRISMA) and extracted 30 articles from Scopus and Web of Science. These articles show three main factors that drive well-being: technology, optimal resource, and insurance, and two additional factors: market pricing and tax policy. Findings show that all the above factors will first impact economic well-being and, subsequently, social well-being. When COVID-19 struck, the smallholder's well-being was also affected in addition to the destabilised food chain. Travel restrictions have led to a labour shortage. The smallholders had to turn to e-commerce to sell their products. They also incurred losses and experienced difficulties in procuring agricultural intermediate inputs. The absence of agricultural insurance worsened the impact on the well-being of the smallholders. To safeguard the well-being of these smallholders, the study suggests that stakeholders should encourage local labour participation, increase investment in human capital, adopt e-commerce in marketing, offer agricultural insurance schemes against various disasters and continuously provide or increase subsidies to smallholders.

Food security is of great importance to all countries. Correspondingly, agricultural price insurance is an important tool to maintain food security. This study adopts the traditional spider web model to establish a mathematical framework for exploring the internal mechanism of agricultural price insurance, which can ease the volatility of the agricultural market. Then, the influence of agricultural price insurance on the supply of agricultural products is examined. The findings show that the supply elasticity of most agricultural products is greater than the demand elasticity, with agricultural product markets presenting a natural divergence. Agricultural price insurance changes the supply curve of agricultural products by reducing their supply elasticity, subsequently positively affecting the reduction of price fluctuation and the stabilisation of outputs. Agricultural price insurance can even change agricultural product markets under certain conditions, allowing a shift from divergence to convergence. Moreover, by adjusting the insurance parameters of agricultural prices, the equilibrium yield and price can be changed, and the planting area and income of farmers can be maximised. The mathematical basis for agricultural insurance derived in this study can support food security strategies at the national level and further provide a theoretical basis to formulate policies and departmental measures.

The study’s main objective is to determine the predisposition and challenges of agriculture to provide environmental public goods to society in areas particularly facing natural or other specific constraints (ANCs) established within their current delimitation in Poland. Its organisational features, economic situation, and the degree of interest in measures specifically serving the protection of the natural environment under the Common Agriculture Policy (CAP) EU were indicated. Statistically significant factors determined farmers’ willingness to participate in these measures. It turned out that farms from ANCs communes with particularly difficult conditions significantly contribute to the total production potential of agriculture in Poland. However, compared to farms with better natural conditions, they are characterised by a lower income per 1 ha of utilised agriculture area (UAA) and a higher share of subsidies, including those for participation in environmental measures, which were implemented to a greater extent. Based on the logistic regression model, it was found that in ANCs communes with particularly difficult conditions, the most important factor of farmers’ greater willingness to implement environmental measures was their higher level of education. On the other hand, this inclination was negatively affected by the higher income adjusted for operating subsidies per 1 ha of UAA.

The main goal of the paper is to evaluate the impact of the Russian import ban on the development of agricultural exports from EU member states. The study is based on a time-series analysis of empirical statistical indicators. The analysed period is between 2009 and 2019. The source of data for individual analyses is UN Comtrade (2021). The evaluation of export performance is extended by hierarchical cluster analysis. The study quantifies the effects of the import ban on the EU and individual member states through two scenarios. Scenario 1 is based on the cumulative loss of the value of exports. Scenario 2 assumes a continuous development of the value of agricultural exports. Based on the results, it is possible to confirm that the application of the Russian food import ban had a significant impact on EU countries. The impact of sanctions varies across EU countries. Four specific clusters could be identified in the period under investigation. In the period after the ban, the distribution of individual countries among individual clusters changed significantly. The applied ban could be understood not only as an attempt at counter-sanctions. Import restrictions also aim to reduce Russia's dependence on food imports and promote national food security.

Gardening and food self-provisioning motivations are changing with the country’s economic development. While food security is often the main driver for self-provisioning in low-income countries, more diverse motivations exist in high-income countries. This study investigates the motivations for self-provisioning in the Czech Republic and the role of the family composition on the rate of self-provisioning to explore its social benefits. A two-step analysis was employed using data collected from 1 214 respondents. First, an exploratory descriptive statistical analysis was conducted to gain insights into the motivation of different households participating in self-provisioning. Second, binary probit models were used to investigate the characteristics influencing the main motives for self-provisioning. The results of the models revealed that the educational level, income per capita, family structure and area of residence influence the motives for self-provisioning.

The Turn of the month (ToM) effect is a calendar anomaly when the majority of returns of an asset are concentrated into several days around the end of the old month and the start of the new one. Until now, the investigation of the ToM effect has mainly been focused on the stock markets. However, this paper investigates the presence of the ToM effect in eight key agricultural commodity markets (cocoa, coffee, corn, cotton, rice, soybean, sugar, wheat), using three different alternatives of the ToM window, during the 2001–2021 time period. The results show a statistically significant ToM effect in the rice, coffee, and sugar markets. Further results show that the ToM pattern changed during the COVID-19 pandemic, and that, in the case of commodities with a statistically significant ToM effect, the ToM effect can be efficiently used to beat the buy & hold investment strategy convincingly.

Companies must provide economic, environmental and social added value based on innovation strategies, design and creative thinking in a globalised and competitive world characterised by rapid change and constantly evolving technologies. In this context, this paper analyses the role of design practice in companies in the agri-food sector (i.e. what is the design component present like; what are its relevance and importance?) An exploratory, descriptive study was conducted with 30 companies in southeast (SE) Spain’s fruit/vegetable sector. The findings reveal that all the surveyed companies make financial investments in design and positively value this (7.6 out of 10), which indicates they recognise its strategic and operative importance. However, integration, training and design promotion in the agri-food sector remains somewhat limited. Most companies lack an in-house design department or design professionals as staff members and perform mainly design activities limited to the visual and communication tasks related to marketing initiatives. These results unveil opportunities for enhancing design incorporation and appreciation in the agri-food sector, which could boost its competitiveness and differentiation in the market. Finally, this study can be considered a starting point for future development in line with the horticultural sector’s theory, practice, and design management policies.

Agriculture has lost its importance in many parts of the world, leaving peasants in a state of uncertainty regarding their social status and identity. This article uses both quantitative and qualitative data to present the changes experienced by Romanian peasants as a result of an entire series of processes which led to the loss of their place within society. Statistical data are used to illustrate the evolution of the most relevant agriculture-related indicators over the last three decades. Qualitative data are presented in order to explain how developments in agriculture were perceived by peasants. While the changes might be irreversible, the story of the 'old' class of peasants should constitute a starting point for redesigning national policies and avoiding the disintegration of an entire social class.

Climate change threatens the possibility of ensuring sufficient and quality food for the population. The agricultural sector, considered to be one of the main contributors to the increase of CO₂-equivalents (CO₂-eq) in the atmosphere, faces one of the most difficult challenges for the sector: increasing production while reducing its impact on the environment. The improvement of adopted practices should be preceded by the quantification of generated emissions. This study aims to provide information on the analysis of the global warming potential (GWP) of tomatoes in Sicily, comparing organic and conventional cultivation methods. The methodology applied is the Life Cycle Assessment, which revealed a reduction in CO₂-eq for the organic method compared to the conventional one due to the use of organic fertilisers and crop protection products allowed by organic specifications. The possibility of reducing tomato GWP offers farmers the opportunity to act on the cultivation stage by making it more sustainable and at the same time to communicate the beneficial action, towards the environment, through the product label. The research also highlights that organic production, with the application of new production and pest management techniques, is comparable in terms of quantity produced per hectare to conventional production and with excellent fruit quality.

The negative consequences faced by the entire planet, the intensification of natural disasters, global warming, lowering the level of groundwater, deforestation, deterioration of corals and the underwater world, soil degradation, and the change of species diversity, testify to the necessity of introducing reforms in the agricultural-food complex. Fulfilling such a goal and creating added value of innovation potential can only be created in the conditions of functioning structures strengthened by system support, which requires reviewing and introducing change in food systems. The recent financial crisis, later the pandemic, and the current going military conflict in Ukraine, caused problems in supplier-customer relations, and made humanity feel how the issue of food security and self-sufficiency can be easily and quickly disrupted. If farmers and food producers are to be able to respond to challenges and at the same time ensure the EU’s strategic goals, it is necessary to have support in research and innovation. Agricultural research and innovation in the EU is characterised by a long-term strategic approach that focuses on creating value from the land through sustainable primary production and strengthening rural innovation. It is an important tool in the fight against challenges such as climate change, environmental degradation, and biodiversity loss. In view of the above, it is necessary to transform food systems, apply regenerative agriculture, introduce alternative land-saving farming systems, observe the principles of sowing procedures and greater diversification of crops in the sowing procedure, reduce the consumption of agrochemicals, naturally integrate plant and animal production into agricultural business entities in relation to the circular economy, use farm waste for bioenergy production, protect agricultural land, implement measures to retain water in the country and support regions

The characterisation of agricultural activity depends on what firms produce. In this article, we introduce the importance of the vegetative cycle in the prediction of bankruptcy of agricultural firms, analysing the financial ratios proposed by the classical models of Altman (1983), Ohlson (1980) and Zmijewski (1984). We consider a total of 2 228 Portuguese firms, with 83 failing between 2015 and 2019. The findings confirm that the differences between healthy and bankrupt firms depend on their vegetative cycle. Although predictors based on liquidity are helpful only in predicting the bankruptcy of non-perennial crop firms, activity predictors are better in identifying healthy perennial crop firms. In addition, we show substantial statistical differences in terms of liquidity and profitability, but only in healthy firms. The results encourage the topic of the vegetative cycle to be more present in the construction of more accurate bankruptcy prediction models.

In this paper, an original analysis of the direct payment rate shaping mechanism – in terms of the process and from the perspective of game theory – has been carried out. The factors determining the direct payments rates were identified. The results of measuring the impact of these factors on payments rates fluctuations were presented. The territorial scope of the study is Poland. The time range covers the years 2016–2020. The objective scope of the analysis includes four direct support instruments. It was found that the rates of sectoral area payments vary to a greater extent than the rates of general payments due to fluctuations in the area approved for a payment. The findings of this study can be used to develop a method for predicting payments rates based on the analysis of the fundamental factors. The prediction of payments rates could be used to support decision-making processes in agricultural policy. Therefore, the research results involving the decomposition of payments rates are of significant practical value in addition to their cognitive significance.

This study aims to estimate eco-efficiency scores and identify determinants of Norwegian dairy farms using a parametric approach that accounts for methane emissions. The study incorporates an environmental output measure and draws on 30 years of panel data from 692 specialist dairy farms (1991–2020). The findings indicate that Norwegian dairy farms are inefficient, with room for improvement in the dairy production system and the environment. According to the average eco-efficiency score, conventional dairy farms could cut input use and CH₄ emissions by 5% while maintaining output. Furthermore, the study found that land tenure, experience, and government subsidies all positively impact eco-efficiency. Policymakers should encourage the best-performing dairy farms to share information on increasing productivity while considering environmental concerns to achieve better social and agricultural development. It should be noted that the study only looks at livestock methane emissions; future research may investigate other environmental factors.

The last years have seen a momentous transformation in Common Agricultural Policy (CAP). The focus of interventions has shifted from production toward rural development but recognising the role of farmers. Although the attitudes of farmers to CAP have long been previously studied, little attention has been focused on the views of citizens. Using data from the ‘Special Eurobarometer 520: Europeans, Agriculture and the CAP’, we sought to provide a clearer understanding of citizens’ opinions about the future of agriculture and rural areas in the European Union. In particular, we assessed rural-urban differences and examined disparities across countries, paying attention to the importance of rural development in the planned expenditure under CAP 2023–2027. The results showed that the perceived importance is higher for respondents living in rural areas and that there are disparities across countries. From a policy perspective, targeted efforts should be made in each country to address the specific challenges each country faces.

This study examines the impact of agricultural support on crop diversity measured by a diversity index. Our results indicate that agricultural subsidies have a limited effect on agricultural biodiversity. By using unique farm-level data, we show that subsidies support the income of farmers rather than the agricultural biodiversity. The results are robust regarding the size, practice management and altitude of the agricultural holdings' operations and various measures of agricultural biodiversity. However, when interpreting the results, the limitations of biodiversity indices should be considered.

Pest control is one of the ecosystem services most affected by the intensification of agriculture. Pests can lead to significant losses in crop yields and jeopardise food security. In this context, installing hedgerows around greenhouses is presented as an opportunity to improve the presence of natural enemies and favour the control of pests. However, the adoption of this practice has not spread among farmers. The objective of this article is to determine the factors that affect the decision to adopt hedgerows around greenhouses by studying the case of southeast Spain. A binary logistic regression model is developed from a farmer survey of 189 farmers in the study area. The variables that are significant when explaining the installation of hedgerows are the size of the farm, the expenses, the number of methods used to combat pests, technical advice, and environmental awareness. Based on these results, action measures are proposed to promote the adoption of this practice.

In this study, a global agricultural trade network was constructed, and its topological characteristics from 1991 to 2021 were analysed. The influences of nine variables were empirically tested, including factor endowments and economic, geographical, and institutional factors. The research results show that the scale of trade networks is constantly expanding, and trade relations are becoming increasingly concentrated. Further, global agricultural trade patterns are gradually being reshaped. However, European economies and the United States still dominate the power of network control, with a clear ‘core-edge’ hierarchy. Among the factors influencing the global agricultural trade network, differences in arable land areas, agricultural product prices, geographical distances, and financial institutions have proven important. However, their influence varies. Compared to the differences in the endowments of other factors, the comparative advantage of agricultural trade in various nodes worldwide comes more from the arable land areas. The greater the difference in agricultural prices, the closer are the trade ties between nodes. Differences in geographical distance have proven conducive to establishing agricultural trade relations. Finally, the greater the difference in financial systems, the greater the likelihood that agricultural trade links will occur.

The goal of this paper is to test the hypothesis of positive correlation between the innovative work behavior (IWB) support on the part of agricultural managers and the production performance of agricultural companies, mediated through information sharing in the companies. The research was performed on a sample of 175 companies of primary agricultural production in Slovakia. All data was analysed using the SPSS version 22.0 software package. The Cronbach's alpha coefficient was used to assess the internal consistency of scales reliability. The Baron and Kenny mediator model was also used. The hypothesis was confirmed by the research. Complete mediation was identified where up to 91.6% of the overall effect is mediated through the sharing of the information variable. The practical implications of the research point out that the transparency of communication and support of innovations introduce positive effects in relation to the performance of agricultural companies. The IWB support is a predictor of production performance of agricultural companies. However, it does not have a clear effect; the effects of other factors are important. The IWB support positively affects the production performance of companies through the sharing of information between the managers and the employees, which becomes an important tool of innovative management. Agricultural cooperatives and joint stock companies can profit less significantly from the IWB support through the sharing of information than limited liability companies. The effect of IWB support on the production performance of cooperatives in natural expression shows statistically less significant impact.

China has formed a new C2F (company-to-farmer) model of internet and agriculture. How to build a sustainable linkage of the C2F platform is important for promoting agricultural industrialization. Based on the cognition theory and internet thinking, we characterized the linkage mechanism and stability framework of the C2F regarding default proportion, benefits fairness and benefits gap. Using the logistic regression method, we constructed the impact effect model of benefit links stability based on the farmers' characteristics, platform cognition and social environment. We found that in the C2F, optimizing farmers' age structure (17.93%, impact effect), increasing farmers' income level (16.79%), as well as improving farmers' education level (14.33%), policy support (11.35%), platform service quantity (9.82%), market volatility (9.11%), platform transaction transparency (9.07%), farmers' risk tolerance (7.93%), and platform technical guidance effect (3.67%) had a significant impact on reducing default proportion (28.13%) and benefits gap (36.55%), thus heightening benefits fairness (35.32%). The research suggested, we should promote the sustainability of C2F by improving the farmers' digital ability and platform function, developing innovative linkage mechanisms between companies and farmers, strengthening government guidance, and protecting the policy environment.

The main goal of this paper is to compare the relative technical efficiency of agriculture in Western Balkan countries to those of the European Union and to propose ways to improve the position of Western Balkan countries. The group of Western Balkan countries includes Serbia, Montenegro, North Macedonia, and Albania, which are candidate countries for European Union membership, as well as Bosnia and Herzegovina, which is currently a potential candidate. An input-oriented Data Envelopment Analysis model with the variable return to scale was applied to an 11-year period from 2006 to 2016. Input variables used in the model included labour, land, and capital, and the output was presented as the value of agricultural production. The highest average technical efficiency was achieved by the EU15 countries for the entire eleven-year period, while the Western Balkan countries had the lowest score. The source of this inefficiency was identified in lower levels of agricultural performance, e.g. a lower-level use of the primary production factors - labour and land.

According to the objectives of the European Union concerning the climate changes, Member States should take all the necessary measures in order to reduce the greenhouse gas emissions. The aim of this study is to identify the causality relations between greenhouse gases emissions, added value from agriculture, renewable energy consumption, and economic growth based on a panel consisting of 11 states from the Central and Eastern Europe (CEECs) in the period between 2000 and 2017. The Autoregressive Distributed Lag (ARDL) method was used to estimate the long-term relationships among the variables. Also a Granger causality test based on the ARDL - Error Correction Model (ECM) and a Pairwise Granger causality test were used to identify the causality relationship and to detect the direction of causality among the variables. The results obtained reveal, in the long term, two bidirectional relationships between agriculture and economic growth and two unidirectional relationships from agriculture to greenhouse gas emissions and renewable energy. In the short term, four unidirectional relationships were found from agriculture to all the variables in the model and one unidirectional relationship from renewable energy to greenhouse gas emissions.

The war in Ukraine has shown that the worldwide food security can be easily shaken. This article focuses on an evaluation of European Union (EU) wheat producers on the world market. Would EU producers maintain their competitive position without direct payments? What changes need to be introduced to improve the position of EU producers on the world market? To answer these questions, a data envelopment analysis has been applied. It is indicated that the competitive position of EU wheat producers is still strongly dependent on direct payments and that mechanisation costs are a key area for improved efficiency in wheat production in Europe.

The research article's primary aim was to provide a comprehensive and systematic view of a new dimension of logistics in the form of logistics innovations in agricultural enterprises in Slovakia. The intention thereof was to define and then analyse selected logistics innovations in agricultural enterprises. The research object was formed by 95 agricultural enterprises in Slovakia. A questionnaire was used as the research instrument. MS Excel and IBM SPSS Statistics 20 were used to process the data in the questionnaire. The univariate descriptive statistics and multivariate descriptive statistics were used to interpret the data. The research results were tested and evaluated by means of Spearman's rank correlation coefficient. Medium-sized agricultural enterprises in Slovakia represented the largest segment (68%) of the study. The agricultural enterprises mostly understand the use of smart technologies as an innovation in logistics (mean = 4.43). The results of the research showed that the analysed agricultural enterprises intend to innovate mainly the production logistics (mean = 3.20). Out of the logistics processes, the agricultural enterprises want to innovate mostly the inventory management (mean = 4.55). Lean logistics is the most frequently implemented logistics innovation in agricultural enterprises (mean = 3.64). The hypothesis testing has proven that there is a statistically significant relationship between the utilisation of lean logistics and production logistics innovation. In addition, it was proven that there is a statistically significant relationship between the utilisation of radio frequency identification (RFID) and the logistics process innovation - inventory management.

Technology has made it possible to achieve the very efficient use of water resources in agriculture. However, there are a set of practices that could increase both the availability and quality of the water resources, but which are not yet widely used. In view of the scarcity situation mainly produced by the consequences of climate change, the objective of this work is to analyse the adoption of sustainable irrigation management practices in agriculture. To this end, the aim is to identify and evaluate the variables involved in adopting sustainable practices in agriculture through the use of different qualitative research tools in successive phases (literature review, in-depth interviews, Delphi method and workshop). The results indicate that the sustainable practices to be adopted to improve water management in the study area are rainwater harvesting (RWH) and pond covering (PC). The main barriers are the costs, some farm characteristics and lack of research, while the facilitators include easy access to technology and the existence of farmer-to-farmer networks. Furthermore, the most influential stakeholders for these practices are the farmers, policymakers and researchers. Proposals for the adoption of sustainable water use practices have also been made consensually with all the involved agents.

Competitiveness is one of the key concepts in economic sciences, andit is defined as the ability of businesses to compete in the market. The aim of this study was to assess the competitiveness of dairy products in Poland. The competitiveness was evaluated in a macroeconomic approach by analysing the exports, imports, and the trade balance. The results were processed and presented with the use of tabular, graphic, and descriptive methods. After Poland joined the European Union (EU) in 2004, one of the key goals was to improve the quality, storage, and applicability of dairy products, and to promote trade in milk and dairy products. The Polish dairy industry reported a positive balance in the foreign trade of milk and dairy products, which contributed to positive values in the competitiveness indicators of dairy products. The values of the export specialisation index (SI), export revealed comparative advantage (XRCA), relative import penetration index (MRCA), foreign trade coverage ratio (CRK), and the Grubel-Lloyd intra-industry trade index (IITk) were positive, which attests to the competitiveness of Polish dairy products. We proved that the COVID-19 pandemic had an impact on the competitiveness of dairy enterprises in Poland.

Biofortification is a strategy to reduce micronutrient deficiency in humans by fortifying food through natural processes, agronomic practices and genetic modification. In this study, we seek to shed light on what consumers understand by the term 'biofortified products' and thus to understand their level of knowledge about these products, as well as the reasons that dictate their purchasing choices and the relationship between consumption choices and lifestyles. The analysis focuses on vegetables and, in particular, on tomatoes with a high lycopene content. Research shows that consumers of biofortified food products are generally confused and uninformed, even though they show a high willingness to pay. This confusion seems to result, moreover, from the lack of a clear definition of a biofortified product, as well as from the lack of clear information on the specifics of biofortified products and the benefits they can bring. The future of biofortified products can, therefore, be improved by the creation of clear standards and reference definitions and better information and transparency that would benefit the consumer.

The paper analyses the effect of electronic-trading (e-trading) on the wholesale prices of select commodities in agricultural marketplaces to aid agrarian income levels. Post a literature review, the researcher performed a field survey to get the opinions of 371 farmers and traders. The researcher also conducted the descriptive statistical analysis, the difference in differences analysis, and the t-test analysis to show the wholesale price improvement after the e-trading platform implementation. The field survey findings and the statistical analysis suggest an increase in average wholesale prices of select agri-commodities in select markets of India due to the National Agriculture Market (eNAM) e-trading platform effect. The suggestions to practitioners and social policymakers highlight an improvement in the functioning of e-trading in terms of better prices for farmers, lowering transaction costs, increased transaction speed, reduced administrative hurdles, improved infrastructure and eventually higher income for a farmer. The knowledge base developed in this paper will help researchers reduce the knowledge gap in agricultural pricing.

A choice experiment (CE) is a stated preference method to elicit the respondent's preference. The CE can predict consumer valuation for a hypothetical product's attributes. Many scholars have discussed the CE's design, analysis, reliability, and validity. Still, no scientific papers reviewed its application in agri-food studies in a broad spectrum, particularly in investigating food product categories and their attributes. Additionally, this review emphasises the technical aspects of CEs, such as the sample size, software, data analysis, and research implications. The result discovered that most CE studies are relevant to developed countries. Most reviewed studies observed wine and meat as objects in the CE studies, in the theme of health, food safety, origin, and sustainability. The future research trend was related to health benefits and natural ingredients. Thus, this review provides recommendations for future studies to explore consumer preference using CE in agri-food research.

While the benefits of using futures to manage price risk are widely recognised, only certain groups of farmers have suitable futures at their disposal. This paper discusses an innovative instrument, developed in the Belgian-Dutch pear market, that provides an alternative to futures markets by creating a market for price swaps. Thus, the instrument provides some benefits of market-traded derivatives (like futures) while remaining a relatively simple instrument, which requires fewer market transactions. The paper describes key properties of the swap contracts and the platform used to trade them. In addition, it compares the conditions required for establishing price swap markets and futures markets. Thus, our study informs the design of similar risk management instruments for commodities and contexts where futures are absent.