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Agriculture 4.0 creates a challenge for agricultural and forest enterprises in the form of changes in the processes and strategies set up to now. The ability for flexibility, personal development, and further education will be critical in transforming agriculture and forestry organisations. The transition to Agriculture 4.0 will also affect the need for human resource management in terms of their need and competence structure. This work aims to identify a group of employees in the environment of the Slovak Republic’s agricultural and forest enterprises with the prerequisites to acquire additional work competencies and the interest to develop flexibly. The mentioned group of employees, understood as progressive, will be examined from the point of view of motivational preferences and the level of satisfaction with them. The presented outputs follow searching the sample unit of 2 193 employees in agriculture and forestry organisations. Based on inferential statistics, it was confirmed that the progressive group of employees is identifiable in terms of their education and, compared to other groups, has a significantly higher perception of the importance of motivation factors with the highest difference in the case of factors related to career aspiration and social needs.

This paper aims to investigate the effects of the COVID-19 crisis on small family farms in Visegrad countries and to provide evidence of how they have responded and coped with the crisis. We conducted our investigation using an exploratory qualitative research design based on 86 semistructured in-depth interviews with owners or responsible managers, and explored the effects of the COVID-19 pandemic on different areas of their businesses, such as human resources, supplier-customer relations, production, distribution channels or strategies, price of inputs and outputs and business models. Our findings showed that small family farms have been resilient in the face of the COVID-19 pandemic. Several negative impacts were identified, such as a decrease in sales due to the closure of accommodation and restaurant services, delays in the supply of inputs, and minor problems with the availability of workers, but those were perceived to be moderate. However, the COVID-19 pandemic created not only difficult challenges but also opportunities for small farms. Based on our findings, three main recommendations regarding the adaptability and resilience of family farms in Visegrad countries have been formulated: i) the importance of a diversification strategy, ii) selling through short supply chains, and iii) digitalisation of agriculture.

The sustainability of the family business mirrors the business success and functionality of the family. Sustainability cannot be ensured without sufficient business profitability, solvency and financial stability. A company unable to pay its obligations on time is insolvent and, therefore, unhealthy. The paper’s main goal is to evaluate the impact of selected economic aspects on the sustainability of family farms in Slovakia. The Finstat database serves as the source of input data for the research. For the economic analysis of the family and non-family sets of companies, Grünwald's bonity index (GIB) was chosen for its universality. According to the Ministry of Economy of the Slovak Republic, family businesses can be considered less risky, especially considering the conservative way of management and the effort for long-term sustainability. However, the results of our research may differ. Family businesses show higher profitability of total and mainly equity capital but also low current liquidity and an undercapitalised state. The most increased non-credit current liquidity was achieved in family businesses in the pandemic years 2020 and 2021. The family businesses we monitored are more profitable than non-family businesses, they do not show an excessive increase in investments, and most of them seem to have a targeted and purposeful high level of short-term liabilities.

In recent years, the external shock represented by COVID-19 has caused significant fluctuations in global corn prices. Based on the weekly data on international corn prices from 2020 to 2023, this paper constructs autoregressive conditional heteroskedasticity (ARCH) class and time-varying parameter – vector autoregression (TVP-VAR) models. After analysing the characteristics of corn price fluctuations, it further analyses the influence of external uncertainties such as COVID-19, international finance, the corn futures market, and international exports of corn on corn price fluctuations. The results show that international corn price fluctuations always have significant asymmetry. Nevertheless, the influence of past changes on the future will gradually disappear, and the corn market is not characterised by high risk and high return because of the phenomenon of flat or declining absolute returns during the periods of high volatility. All the selected external shocks also have a time-varying impact on corn price fluctuations, and there are differences in the impact size, impact direction, and impact duration. The external shocks led by COVID-19 had a transmission effect on other factors and then affected corn price fluctuations.

Land trusteeship involves farmers entrusting the farming and managing of their land to trustees, who manage the land on their behalf in exchange for a commission fee. Land trusteeship has been an important approach to bridging the gap between smallholder farmers and modern agriculture in China. Because of the information asymmetry in land trusteeship, farmers have higher uncertainty and perceived risk, so social trust and institutional constraints are particularly important in promoting farmers’ participation in trusteeship. The objective of this study was to examine the impact of trust evolution and institutional constraints on smallholder farmers’ decision-making in green prevention and pest control trusteeship. Our research was conducted in Shandong, China, utilising factor analysis and binary regression. The results revealed that trusteeship decision-making combines trust governance and institutional governance, with significant roles played by institutional trust, institutional supervision, institutional regulation, and interpersonal trust. As part-time farming became more prevalent, the importance of institutional trust and institutional supervision increased, indicating a shift in trusteeship governance from social relations to institutional contracts and the maturation of land trusteeship models. In addition, we also tested the interaction effect of social trust and institutional constraints and the heterogeneity effect of different trusteeship contracts. To improve the land trust system, we must enhance farmers’ institutional trust and leverage the active role of intermediary supervision organisations such as village collectives.

Sustainable intensification (SI) is a widely discussed concept that aims to increase agricultural production without harming the environment. This study assessed the process of SI that took place in the EU regions from 2004 to 2018 and the impact of structural and weather-related factors. In doing so, a single index based on DEA environmentally adjusted efficiency and kernel regression were applied to data from the Farm Accountancy Data Network (FADN) Public Database and the Agri4Cast resource portal. The study found an overall positive trend of SI in the EU regions in which land and animal concentration had a significant impact on this process. Sun radiation, as the only significant weather variable, had a decreasing impact on efficiency due to potential droughts. The findings emphasise the need for political support for regions with a low degree of SI and for those particularly affected by climate change.

This work addresses short-run fluctuations of nominal global meat commodity prices, that is, beef, lamb, pork, and poultry, from January 1980 to October 2023, thus including the COVID-19 pandemic and the Russo-Ukrainian conflict. It tries to answer the following questions: how do fluctuations in meat commodity prices behave historically? Are meat commodity prices synchronised? Do their co-movements show specific features during recent global crises such as the COVID-19 pandemic and the Russo-Ukrainian war? Using a ‘classical’ framework of cycle analysis, the work provides a series of turning points upon which statistics on phase and cycle durations and amplitudes are generated. Care is put into highlighting the pros and cons of employing algorithms based on turning points instead of harmonic models. Global nominal meat prices feature cycles lasting between 3.8 and 4.6 years on average. Pork prices, contrary to other meat prices, are characterised by a highly volatile and prevalently contractionary behaviour. From a policy perspective, the article provides results on the synchronisation of couples of meat prices and on the existence of a common meat price cycle both historically and during the COVID-19 pandemic and the Russo-Ukrainian war.

Based on data from 10 countries from the Chicago Mercantile Exchange (CBOT) wheat futures market for the period from 2000 to 2021, this study examines the impact of the financialisation of agricultural products on food security and its mechanism of action. We found that the higher the degree of financialisation of agricultural products, the stronger the negative effect on food security, which is more prominent after the financial crisis in 2008, and the effect on developing countries is more obvious than that on developed countries. The test results of the mediation effect model showed that the financialisation of agricultural products affects food security by increasing the volatility of futures prices. The test results of the moderating effect model showed that the rise of the US dollar index and loose monetary policy will exacerbate the impact of the financialisation of agricultural products on food security. Still, the increase of the self-sufficiency rate of food can effectively inhibit this impact. The study’s conclusions supported the government’s optimising macro policies and promoting food security.

Prior studies have noted the importance of measurement tools that track the contributions of the circular bioeconomy and other developments towards sustainable development. In this study, we examined the EU-27 as a whole and found that its circular bioeconomy, measured by the 41 indicators we used, generally progressed over the period 2004–2021. Research and development personnel and Persons employed in circular economy sectors were ranked as the most progressing indicators over the studied period, together with Patent applications to the European Patent Office, which supports the idea that the circular bioeconomy uses novel technologies and requires research to develop them.

This study assesses 24 European Union countries in terms of food security in 2021. In this paper, we develop a composite food security index considering various weights of indicators. The data were obtained from the FAOSTAT and Eurostat databases. The weights of 10 input indicators were estimated using a principal component analysis-based factor analysis model. The results showed that the harmonised index of consumer prices – food had the greatest impact on the food security index, while the impact of median equivalised net income and moderate or severe food insecurity had the lowest impact. Ireland achieved the highest ranking according to the Food Security Index. Bulgaria experienced the most unfavourable situation among EU countries. Slovakia ranked 22^nd out of 24 countries due to its lowest protein supply, including animal-derived proteins. As part of the analysis, our research compared the food security index with the official Global Food Security Index. The Spearman’s rank correlation coefficient of 0.84 indicated a robust correlation between the two indexes. Consequently, this newly developed Food Security Index is appropriate for assessing the food security status of European Union countries. Furthermore, it broadens the assessment of food security by including countries that are not in the commonly used Global Food Security Index (GFSI).

Rice cropped policy has been constantly changing, affecting the value of irrigated land. This study aims to examine distribution patterns of irrigated land value from a new perspective of uncertainties in single- and double-cropped rice policies in China. The real options approach was employed to calculate irrigated land value under policy uncertainty, and Moran’s index was applied to identify the spatial distribution characteristics of irrigated land value at the provincial level. The empirical results were as follows: significantly positive spatial correlations existed between the land value under two cropped rice policies. The northeast region of China had a low-value clustering effect based on geographical characteristics. In contrast, the southern provinces of China had a high-value clustering effect based on the criteria of administrative regions. This study considered policy uncertainty when evaluating the economic effect on irrigated land when revealing spatial correlation in land value. We provide a theoretical and empirical basis for the formulation of cropped rice policies.

The widespread application of Internet technology in rural development has significantly facilitated the modernisation of agriculture and profoundly and positively impacts sustainable rural development. This study empirically investigates the effect of Internet access on farmers‘ participation in farmer professional cooperatives based on a sample of 3 349 participants from the 2020 China Rural Revitalization Survey (CRRS), using both probit regression and instrumental variable probit (Ivprobit) regression models. The results indicate that, firstly, Internet access significantly enhances farmers‘ participation in farmer professional cooperatives. Secondly, Internet access influences farmers' decisions to join professional cooperatives differently, with older farmers, those with less education, and non-cadre individuals being more significantly affected in their willingness to participate. The findings deepen the understanding of the relationship between digital technology and organisational participation in rural development and provide empirical evidence for formulating more targeted rural development policies.

The efficiency of poultry production plays a crucial role in ensuring food security and maintaining human health sustainability. Although extensive research has been done on the largest poultry-producing countries, the European Union’s contribution has not been thoroughly investigated, especially in Central and Eastern Europe. This study aims to fill this gap by analysing the technical efficiency of poultry farms in Hungary and Poland. We use the stochastic metafrontier approach to Farm Accountancy Data Network (FADN) data from 2010 to 2015. The results suggest that both countries have technical inefficiencies. The meta technical efficiency (MTE) was higher in Poland than in Hungary, driven by both a higher technology gap ratio (TGR) and higher (country-specific) technical efficiency (TE) in Poland. In both countries, returns to scale were increasing, which suggests that policies that increase scale of operation could increase efficiency. Furthermore, the study highlights the importance of technological gaps for several farms both in Poland and Hungary; therefore, policies should also focus on supporting investments in technology adoption and innovation. This could involve providing subsidies or grants for the adoption of advanced farming technologies, such as automated feeding systems or data analytics for optimizing production processes.

Fruits and vegetables form the basis of a nutritional diet for the population. In addition to the basic determinants, such as market prices and consumer income, other factors influence consumer demand.  This paper aims to investigate how the age and gender of consumers influence the demand for fruit and vegetables in different European countries. In this paper, the demand for fruit and vegetables is understood through the population’s preferences for fruit and vegetable consumption, i.e., the proportion of the population that prefers to consume fruit and vegetables five or more times a day. The paper uses data from Eurostat. Factor, cluster and correlation analyses were performed using the SPSS software. The results of the analyses showed that the gender significantly determines the demand for fruit and vegetables in favour of women. Regarding the effect of age, this determinant was positively correlated with the preference for 5FV consumption in most countries. Potential interventions to promote fruit and vegetable consumption should mainly target men aged 15–19 and 75+ in Bulgaria, the Czech Republic, Latvia, Austria, Slovenia and Sweden, men aged 35–44 and 75+ in Croatia, Italy, Poland and Romania and women aged 15–19 and 55+ in Bulgaria and Romania, where their preference for 5FV was the lowest.

The main aim of the article is recognition of the issues of complexity in economics with the particular emphasis on agriculture, as well as indication of resulting implications for this sector. Complexity in economic theory is in general perceived from the perspective of external effects, while the problem may also have other connotations: as the so-called fallacy of composition, or the phenomenon of entropy. The problem of complexity indicates the need for further reflection on the holistic perception of economic processes. This is particularly evident in the case of agriculture, when the evaluation based mainly on microeconomic approach from the perspective of the effect/cost relationship loses sight of the environmental, social, and cultural context. Focus should also be put on the entropy approach, which takes into account the openness of socio-economic systems and the limitations of resources, including the environment. Both the operating practice of agriculture together with the institutional surrounding, and agricultural economics are more advanced in the area of solving the problems of complexity on the practical and theoretical grounds, but there are still many issues that require solutions, particularly quantification of externalities. The work is theoretical in nature and a heuristic approach was applied in the considerations.

The agricultural sector je characterized by the fact that there is a high level of risk. It was always this case, but in the last years, there is a tendency of the increasing of the risk. The ability of early detection and effective management of the risks is an integral part of the strategic management of every agricultural organization. The paper presents the procedure and outcomes of the questionnaire survey aimed at the occurrence of the risk factors and approaches to the risk management in the enterprises of the primary agricultural production in Slovakia. The survey is focused on the individual character of the risk. The results of the survey point out the fact, that Slovakian farmers perceive the price risk, production or income risk as the most important risk factors, and the diversification as a most important strategy of the risk management. The most significant positive correlations were found between the land size and the perception of the price risk importance, between the number of years in office and the perception of the price risk importance. Concerning the production or income risk, the significant positive correlation was found in the legal form of business. As the most important, there was evaluated the risk perceived by the self-employed farmers.

Complexity in the management and variability of environmental factors in the agricultural, environmental and food industries has brought about the demand for developing robust methods that allow multiple variables to operate with compound dependencies and are inert to changing situation conditions (e.g. changing the agrarian policy of the state). Therefore, new attempts are being made to cope with these problems (i.e. complexity in control and the instability of initial conditions). There is one solution based on interdisciplinary or transdisciplinary approaches; these methods were chosen for our case study on the agribusiness sector, where we use economic variables in the transformed form. This transformation allowed us to determine the optimal parameter settings (regarding factor instability) and the potential for regulating agribusiness activities using the corporate cybernetic diagrams. Estimations of the position and variability of the input values of the factors were carried out using a random vector. The practical experiment was conducted on the Agro-farm Krasna as a case study, thereby making it easy to repeat the designed procedure.

Milk production is one of the most important areas of the Czech agrarian sector, as evidenced by its 50% share (at 2017 prices) in revenues from livestock production. As for any business, a certain level of profitability is a prerequisite for long-term and sustainable development of dairy farms. This study's aim was to evaluate the economic efficiency of milk production from both Czech Fleckvieh (C) and Holstein (H) cows based on data collected each year from 48 to 70 Czech dairy farms in the period from 2012 to 2017. Total costs per feeding day and litre of milk, level of profitability, and income over feed costs were calculated. The influences of herd size and milk yield on profitability and break-even points were examined while sensitivity analysis and model calculations were utilised to predict profitability. The farms with higher average milk yields (>7 500 and >9 500 L per lactation for C and H, respectively) had higher costs per feeding day, lower costs per litre of milk, and improved profitability (p < 0.05). Average break-even points were estimated for milk price (0.31 and 0.32 EUR) and milk yield (7 257 and 9 209 L) in C and H herds, respectively.

One of objectives of the Common Agricultural Policy is to ensure an appropriate living standard for agricultural households. The paper uses EU-Statistics on Income and Living Conditions (EU-SILC) data to assess the income situation and living conditions of agricultural households. The agricultural household income does not reach the average household income in any of the EU countries. Multidimensional cluster analysis is applied to classify EU countries according to the income situation of agricultural households. The cluster analysis revealed five segments and the fact that living conditions at a satisfactory level can be achieved irrespective of the economic status of the agricultural household, although it depends on an appropriate setting of agricultural policy. The index of living conditions is constructed and used for the comparison. Based on the analysis results, the variables included in the assessment of the living standard of agricultural households should be taken into account when fulfilling the objectives of the Common Agricultural Policy, especially the part that relates to improving the living conditions of agricultural households. The current EU-SILC database is appropriate for the evaluation of the household income situation. However, it does not reflect the specifics of agricultural households, so additional measurement is needed.

Recently, the growing interest in healthy and organic nutrition has led to an increase in both the consumption and production of olive oil. The fact that olive and olive oil production is mostly concentrated in the countries with a coastline on the Mediterranean has rendered their olive oil exports important in meeting the increasing demand for olive oil. For the exporting countries, this has raised the issues of having a large share in the international olive oil market and increasing their competitiveness. The importance of increasing competitiveness, especially for countries that generate income from agricultural production, is the driving force for conducting this study. The aim of the study was to determine the factors affecting the comparative advantages of the leading olive oil-exporting countries. In this context, the olive oil production, consumption and unit export prices of Turkey, Spain, Italy, Portugal, Greece and Tunisia for the 2000-2019 period were tested with a panel data analysis method to ascertain whether these variables have any significant effect on the revealed comparative advantage (RCA) index. According to the findings, olive oil production affects the RCA index positively, whereas olive oil consumption affects it negatively in a statistically significant way.

This paper deals with the sources of total factor productivity (TFP), namely technical efficiency, scale efficiency, and technological change, considering the size of agricultural producers and using balanced panel data in the period 2014-2018 drawn from the Farm Accountancy Data Network (FADN) database for three sectors of Czech agriculture - cereals, milk, and beef. The investigation is based on the stochastic frontier (SF) modelling of an input distance function (IDF) with four error components (heterogeneity, statistical noise, persistent and transient inefficiency). The sector-specific models are estimated by a four-step estimating procedure with a system generalised method of moments (GMM) estimator to address the endogeneity problem. The results reveal inter- and intra-sectoral differences in productivity drivers. In particular, the smallest producers lag considerably behind the largest ones due to the scale effect (SEC). While large farms should focus on technological change, improvements in scale and technical efficiency have been identified as the main sources of coping with productivity losses for small farmers.

Currently, technological development is driven by the search for solutions to prevent climate change and environmental degradation, increase energy efficiency, and meet societal needs in relation to avoiding conflict while navigating the implementation of current and future needs. Many of the solutions come from the rapid development of the bioeconomy. The aim of this article is to determine the impact of bioeconomy variables on economic growth in 27 EU countries. The research goal of the paper is based on the estimation of dynamic panel models using the generalized method of moments (GMM). The following set of variables used in the dynamic panel model had a positive impact on economic growth in the EU-27 countries: greenhouse gases by sector: agriculture, circular material use rate, recycling rate of packaging waste by type of packaging - plastic packaging, recycling rate of packaging waste by type of packaging - wooden packaging. Three variables were shown to have a negative impact on economic growth, namely: recycling rate of municipal waste, recycling rate of e-waste, trade-in recyclable raw materials - exports extra-EU.

This study attempts to contribute to the debate on the impact of corporate social responsibility (CSR) on the financial performance (FP), image and reputation (IR) of agri-food firms, examining whether the legal form of organization (LFO) (cooperatives vs. capital firms) moderates these relationships. To this aim, we also consider the potential effects of two scarcely investigated factors that can determine firms' CSR orientation, that is, the capacity to absorb CSR-related knowledge and the perception that managers have of ethics and social responsibility. Using data from a sample of 107 trading firms in the agri-food sector in Almeria (Spain), we show that both factors play a decisive role in the firms' CSR orientation, which has been measured as a multidimensional construct. Also, the orientation towards socially and environmentally responsible practices positively affect IR of agri-food firms and their FP. The relationship with the FP is stronger in the case of cooperatives compared to capital firms. Key implications for researchers and practitioners are discussed.

In recent literature, the issue of sustainability and its measure has been addressed with different approaches that depend on the multidimensional nature of the concept and the specific sector and context to which it applies. The present work focuses on the economic sustainability component and suggests an operative measure at the farm level. The measure of economic sustainability has been applied to Italian family farms using Farm Accountancy Data Network (FADN). Based on this data, an efficiency indicator (EI) and two income indicators [a factor profitability indicator (FPI) and a comparable income indicator (CII)] expressing the ability to remunerate the entrepreneur's production factors at their opportunity cost and the farm's income capacity have been used in a principal component analysis (PCA) to build an economic sustainability index (SI). The index was used to describe Italian farms' economic sustainability levels but was also the cue to discuss problems related to identifying economic sustainability thresholds and the trade-off between efficiency and income components.

Globalisation is also having a profound impact on international agricultural trade. This study examines the impact of regional trade agreements (RTAs) and globalization on international maize trade using a gravity model for the period 1996-2020. The results show that, despite globalization, distance has a larger negative impact on bilateral maize trade than on the manufacturing sector. It appears that distance remains an important factor in explaining trade flows in commodity markets, including maize. Our findings on the role of RTAs are in line with the results of previous studies: RTAs are generally preceded by a strengthening of bilateral trade relations. There is mutually positive feedback between the level of bilateral trade and RTA membership. However, the establishment of a common RTA membership and its trade-stimulating effects are not immediately visible.

The contribution follows the development of Czech wine exports to Slovakia, depending on the development of the wine industry attractiveness in Slovakia. Wine export from the Czech Republic to Slovakia in the terms of volume and value of exports, both globally and in the division of export bulk and bottled wine, is confronted with the development of factors influencing the wine sector attractiveness in Slovakia. The Slovak wine market is a market in the phase of growth, the wine consumption per capita in 2011 reached 14.7 Lt.; the domestic production covered only 46% of the domestic consumption. The level of the industry concentration is high, the 6 largest companies produce more than 18.5 mill. Lt. of wine - 50% of the total domestic production. Wine legislation is comparable to the Czech legislation, the purchasing power of the customers shows a positive development, but the cheap table wine imports still represent more than 50% of the total domestic consumption. The opportunity for Czech exporters is the factor represented by the size and growth of the market and the legislation, too. The situation is rather more positive for the re-export of cheap wine from other countries than the direct export of Czech wine to Slovakia in case of other analyzed factors.

In the study, the potential regional impacts of the European Union full memberships on the Turkey's dairy sector were analysed using a Spatial Equilibrium Model with 12 NUTS 1 regions as well as the European Union as being another region. According to the results, Turkey starts importing butter mainly to the Istanbul region and powder milk to the Black Sea regions, while exporting white cheese from Istanbul and plain yoghurt from the Central Anatolia and the North-eastern Anatolian regions. In the process of the European Union full membership, agricultural policies must focus on the enhancement of milk productivity to decrease the cost and to improve hygiene to meet the European Union standards for a smooth accession.

The article's objective, which is to identify the causes of the very poor level of management of the administration of these state assets, to present the possibilities of a long-tested experimental model at the Land Fund of the Czech Republic, and to draw attention to this model's potential in its possible implementation in administration of the entire management complex of these state assets in the Czech Republic. The authors first dealt with the theoretical aspects of the given issue, and then prepared an analysis of the original debt collection management "system". This is logically followed by an analysis of the experimental model's efficiency, rounded off with its conclusions. The final chapter contains the results of the research aimed at the current level of knowledge of the examined issue in compressed form, further the outcomes of the research concerned with original unsystematic debt collection management, also results of the implementation of the experimental model, and the assessment of the significance belonging to the results of implementing the experimental model for the entire national economy of the Czech Republic.

In this study, differences in common measures of profitability, such as return on sales, return on capital employed and return on equity, are analysed in agricultural firms with accrual accounting in 10 European countries. The resulting differences in profitability are broken down using an additive decomposition method, which addresses the quantified impact of several affecting factors. This approach is based on a ratio system, which follows the principles of the DuPont identity. According to the general intention of benchmarking, the leading country within the sample for each measure of profitability provides the relevant reference point, representing best practice. This approach provides insight into the specific comparative strengths and weaknesses of the agribusinesses in the countries within the sample and indicates useful starting points for effective improvements. In addition to the value-creating operations, this involves, in particular, labour productivity, the efficient use of fixed assets and the degree of debt financing.