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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. [ABSTRACT FROM AUTHOR]

Agribusiness is currently faced with the challenge of providing sufficient quality food for a growing population with limited natural resources. Egg production, as an important source of nutrition, is a dynamically developing sector of livestock production on a global scale. Simultaneously, the increasing public and legal considerations of animal welfare affect egg-producing operations. This paper aims to provide insight into missing evidence in the trade-offs between animal welfare and efficiency in egg-producing farms in the Czech Republic and the European Union. Detailed data were gathered on the extent of the enriched cage and indoor cage-free housing systems (aviaries/barns) among the main 30 Czech table-egg-producers. Original micro data enlarged the information on table-egg producers collected using the Orbis database. For the efficiency analysis at the EU level, data on the housing systems were obtained from Eurostat and combined with aggregated data from the Orbis database. A robust data envelopment analysis was applied which benefits from including animal-welfare variables directly into the efficiency evaluation. The results showed a negative, but statistically insignificant, relationship between the animal welfare and efficiency of the egg producers for the Czech Republic table-egg producers as well as those on the EU-country level. [ABSTRACT FROM AUTHOR]

In the paper, there is analysed one particular approach to the modelling uncertainty in the project management through an original version of the fuzzy CPM (Critical Path Method). First there is shown the relevance of using the fuzzy CPM in agriculture and the related branches and present the basics of the methods used. Then, there are described the imperfections of the work which is discussed and the impacts of the previously-published approach when applied in project management practice are emphasised. In the original paper, the author uses only the discrete fuzzy numbers for activity time durations which could be considered inappropriate for the time scheduling in project management. Consecutively, the direct application of the extension principle on the comparison of continuous durations could lead to the situation when both numbers can be greater than the second one with possibility equal to one. Moreover, the simple transformation of durations to the costs by linear equations with a positive slope does not respect the current project management theory and practice. Finally, the missing comparison of project fuzzy costs among individual variants of the project is calculated. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate whether the more pro-environmental attitudes of farmers influence the technical efficiency of agricultural sectors in EU regions (NUTS-2). To answer this, I employed data envelopment analysis (DEA) for efficiency analysis combined with the double bootstrapped truncated regression to investigate the relationship between environmental attitudes and technical efficiency. I found that this relationship is positive, i.e. pro--environmental attitudes were related to greater efficiency. An increase in the environmental attitude variable by one standard deviation led to an improvement in efficiency of 2.8-6 p.p. The higher share of farmers with formal training also proved to be a positive and significant determinant of efficiency. The share of arable land on which conventional tillage was used, and soil erosion proved to be significant but negative determinants of efficiency. Policymakers should present to farmers the environmental benefits of agricultural policy but should also highlight that greater environmental awareness translates into a more efficient operation. [ABSTRACT FROM AUTHOR]

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 22nd 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). [ABSTRACT FROM AUTHOR]

Agricultural subsidy policy can improve the planting enthusiasm of rural households by increasing their income. It is of great significance to assess and summarise the effect of the soybean and cotton target price subsidy policy and to determine future policy direction. Using the national rural fixed-observation point socioeconomic survey data from 2009 to 2017, the study employed the difference-in-differences (DID) method to evaluate the impact of the target price policy (TPP) on rural household income in China. TPP had no significant impact on the total income of rural households. Specifically, TPP increased the farm income of rural households but simultaneously reduced the wage income and had no significant impact on the other income. Moreover, the impact of TPP on rural household income varied with the planting scale and income level; the effect of TPP was strong among the non-poor or scale operation rural households. TPP implementation affected rural household farm and wage income by affecting farmers' allocation of working time and cost input. Therefore, implementing TPP should consider farmers' participation in non-farm employment, further adjust the subsidy intensity and scope, and combine direct subsidies with the poverty reduction effect in poor areas. The contribution of this article is to explore the implementation effect of target price subsidy policies from the perspective of farmers' income, to deconstruct farmers' income, and explore the mechanism of policy action. This paper provides a theoretical basis and policy inspiration for China to improve and adjust the agricultural subsidy policy, mobilise farmers' enthusiasm to cultivate, and ensure national food security. [ABSTRACT FROM AUTHOR]

Corporate social responsibility (CSR) is also implemented in agriculture, where larger agricultural holdings have a higher influence. We focused on them and situated our study to a country with a large average farm acreage -- the Czech Republic. The aim of the paper is to assess to what extent large agricultural holdings perceive socially responsible behaviour as being important and how it is manifested in their relationship to the stakeholders and the behaviour in economic, social and environmental areas using Carroll's pyramid and concept of 3 'P'. It is also examined if the higher perception of CSR influences the assets. Firms were grouped according to the perceived CSR by a cluster analysis. The highest economic responsibility in cluster 1 corresponded to the relatively high value of the assets, but the highest was in cluster 2 and 3 with important legal and ethical responsibilities. Cluster 4 had the lowest CSR, the same as the value of the assets, but further investigation is needed. The most important stakeholders were the owners and employees, but also the range of activities was provided for the locals. CSR and the importance of the stakeholders in large Czech agricultural holdings were highly perceived, especially on an economic level and in the social area. [ABSTRACT FROM AUTHOR]

The present study, centred on customer online shopping behaviours, aims at analysing the frequency of vegetable acquisition and its main determining factors, while considering different methods of payment, i.e. cash, debit card, and bank transfer on the Romanian market. Using data obtained from a questionnaire applied nationwide, a descriptive analysis and logistic regression were performed. An immature market in terms of digitalisation, characterised by the customers' mistrust in online bank transfers, but also in products sold online was observed. In addition, the income, education, gender, and size of the household appeared to be significant in relation to the frequency of online orders for vegetables. Moreover, our results indicated that a higher customer readiness for a high price, large quantity, and a monthly delivery subscription comes bundled with a higher frequency of acquisition in the case of bank transfers. Our findings are especially focusing on the vegetable local producers' promotion process, with its main desideratum of properly responding through adaptation to the continuously changing customers' requirements, particularly when special contexts like the pandemic appear. Accordingly, our paper intended to offer several concrete responses in this regard, indicating some possible paths for better managing the communication process on the vegetable market. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Most empirical studies evaluating efficiency in the agricultural sector estimate cost efficiency, assuming homogeneity across firms. However, achieving the goal of profit maximisation requires both minimising costs and maximising revenue. Unlike cost efficiency, the concept of profit efficiency considers the errors on both the input side and the output side, and thus, it is more appropriate for evaluating the overall performance of firms. This paper estimates profit efficiency and its determinants in the agricultural sector in Spain using a Bayesian stochastic frontier model with random coefficients. This methodology adequately captures the heterogeneity across firms in the industry. The results reveal, firstly, that agricultural firms in Spain are operating with an average profit inefficiency of 35.78% and, secondly, that this inefficiency is affected, albeit unevenly, by the size and age of the farm. Finally, the implications of these results for managers and public policies are discussed. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The paper aims to identify the changes and intensity of the factors influencing consumers' purchasing decision- making process in the food market. The research offers a unique comparison of the situation between the years 2007 and 2022 and reveals the emerging factors affecting consumer decisions. The authors conducted a representative questionnaire survey (N = 686) to determine the influence of individual factors. The data were processed using factor analysis, which allowed for the reduction of the number of factors (20) to four determinants covering 61% of the total variability in the dataset. The determinants of consumer purchasing decisions include traditional promotional elements, product parameters, newly formed factors based on sustainability and health awareness trends, and price discounts. Consumer behaviour appears to be influenced by a wide range of short- and long-term factors, and it is necessary to look at it comprehensively over a longer time horizon, taking current trends into account. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The role of small farms in agricultural production is particularly important for less developed economies, with a high share of agriculture in GDP and a lower level of national income. These economies have a high share of small-scale farms in the total number of registered farms, measured by the size of an agricultural holding. The paper thoroughly analyses the distribution channels of the agricultural products of Moldova (MDA), Romania (ROM), and Serbia (SRB). The data sources for this analysis are taken from the survey conducted on 1 608 small-scale farms in the above-mentioned countries in 2019. The aim of the paper is to develop a model that could enable the structured analysis of distribution channels. Analytical Hierarchy Process (AHP) method was used for efficient assessment and as a criterion for choosing the most appropriate distribution channel. The results of the analysis show that small-scale farms mostly place their products in green markets and processing plants and that the quality and the price of agricultural products are the dominant criteria for the selection of a channel. The results of the applied model indicate that the model is stable and that small-scale farms can choose the optimal distribution channel by using this study. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 under-capitalised state. The most increased noncredit 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. [ABSTRACT FROM AUTHOR]

Economic globalisation (EG) in developing countries has continued to increase over the last 40 years. EG has both beneficial and harmful impacts on all sectors, including agriculture. This paper aims to determine the impact of EG on agriculture in developing countries. This aim was met by conducting a systematic review (SR) of 64 papers from Scopus and Web of Science (WoS). EG has influenced various elements of agriculture in developing countries, including i) product, supply chain, food security, ii) trade, iii) economic, social, political element and environment and iv) technology and research and development (R&D). We propose several policies in this paper to maximise EG's positive impact while minimising its negative impact. [ABSTRACT FROM AUTHOR]

Latin America and the Caribbean (LAC) region is one of the most important players in global agricultural trade. They have vast potential to strengthen their position as a result of the region's opportunities to increase agricultural production when combined with growing global demand, which could help the region's economy thrive. To discover the LAC potential agricultural trade pattern, this paper aims to analyse the determinants of LAC agricultural bilateral export for the period 1995-2019. The gravity model of trade was employed by estimating various Poisson pseudo-maximum likelihood (PPML) models including zero trade flows for panel data. The findings show that importers' GDP of LAC countries has a greater impact on agricultural trade compared to LAC exporters. Cultural similarities (common language) and countries' participation in Southern Common Market [Mercado Común del Sur (MERCOSUR)] stimulated agri-food export. Conversely, distance (transportation), past colonial links, and North American Free Trade Agreement (NAFTA) raised trade costs, having a negative impact on the export of agricultural products. The impacts of environmental regulations are ambiguous. This paper contributes to the literature by investigating the factors of agri-food export in LAC countries, which can be an important instrument for decision-makers adjusting agricultural trade policy. [ABSTRACT FROM AUTHOR]

Geographical indication (GI) represents the specific good quality and reputation of the regional characteristics of agricultural products, which is a positive approach for stabilising the export of agricultural products, realising high quality and high prices for agricultural products and rural revitalisation. Based on the China-EU Geographical Indications Agreement, this paper discusses the differences between China and the European Union (EU) in terms of GI protection from three aspects: the institutional framework, the operational system, and the operational status of GIs. The purpose of the study is to identify the differences between China and the EU in the protection of GIs, China's shortcomings, and gaps, and to propose policy recommendations for China to protect GI products better, exploit the economic impact of GIs and enhance the competitiveness of China's exports. [ABSTRACT FROM AUTHOR]

The adverse economic and social effects of the recent increases in food prices have prompted policymakers and academics to reconsider the potential causes of such increases. This paper contributes to the existing literature by investigating the causal effects of oil prices, fertiliser prices, global economic activity, and geopolitical risk on international food price volatility between January 1993 and December 2021. The research considers the aggregate food price index and the prices of various specific foods, including cereal, vegetable oils, dairy, meat, and sugar. The Glosten, Jagannathan, and Runkle-generalised autoregressive conditional heteroskedasticity (1,1) [GJR-GARCH(1,1)] model is employed to estimate the food price volatility series, while the causality-in-quantiles test is conducted to identify the drivers of food price volatility for different volatility regimes. The analysis suggests heterogeneous results regarding the significance of causal linkages. More specifically, the aggregate food price volatility is affected by oil prices, global economic activity, and geopolitical risk under different market conditions. The causality analysis also indicates that the volatility of cereal prices is the most sensitive to the four considered variables. Likewise, geopolitical risk is the most critical factor affecting all food commodities during almost all market conditions, while oil prices and global economic activity have limited predictive power. Finally, there is strong evidence that most causal linkages are confirmed during normal market conditions. Policy recommendations are subsequently derived. [ABSTRACT FROM AUTHOR]

Considering the relevance of the agricultural sectors for the European countries' development, but also the volatile features of agriculture, with unforeseen risks induced by climate, ensuring durable economic progress is foremost for the companies. This paper aims to assess the associations of the key parties in corporate governance (directors, managers, advisers, and shareholders), employees and the independence level with the main outcomes and capacity/size of the European companies operating in agriculture, fishing, and aquaculture activities. Using a newly compiled and complex dataset of 3 184 active companies from Europe, provided by the ORBIS database, advanced modelling approaches were employed, based on the robust regression (RREG) and Gaussian Graphical Model (GGM). The main findings emphasised that: directors, managers, and advisors had a strong positive influence on the firms' size, boosting their turnover, and the shareholders' funds; advisors induced positive connections with the companies' liquidity; the number of employees exerted positive impacts on the firms' size and outcomes of these companies; the independence level exerted a negative impact on the firms' size and outcomes. Finally, specific measures must be addressed to primarily reconsider the number of directors and managers and the shareholders' participation in the ownership of these companies due to their unfavourable exerted effects. [ABSTRACT FROM AUTHOR]

In recent decades, farmland markets have risen sharply due to their attractiveness as safe investment and savings allocation instruments. This growth has occurred globally at different rates due to the uneven expected returns, and potential land uses in different regions. This paper provides evidence of the convergence of Italian farmland markets between 1990 and 2019 by using data on average land prices with a geographically detailed resolution that considers both administrative and altitude aspects of territories. The analysis combines traditional economic convergence approaches with spatial data exploration techniques. The results are consistent and show that territorial disparities in Italian farmland markets tend to increase over the study period. This proves that divergence patterns reflect the well-established North-South dualism and disparities in socio-economic characteristics. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The paper responds to the ongoing trends in meat consumption in developed countries and fills the gap in empirical studies on consumer segmentation by preferences in the purchase of meat and meat products in the Czech Republic. The paper aims to assess the differences between the consumer segments according to their preferences in purchasing meat and meat products. The data source was a quantitative questionnaire survey conducted among a representative sample of 992 respondents. An exploratory latent class analysis segmented consumers according to the decision-making criteria when buying meat and meat products. The results complete the picture of the meat and meat products market in terms of consumer behaviour and contribute to a better understanding of meat consumption. The segmentation of consumers according to their preferences resulted in three different categories of consumers, which differ in their purchase decision criteria and socio-demographic characteristics. The segments do not differ significantly in terms of occupation status, region, community size or income level of the respondents. The differences between the generations are much more critical, which were evident in the respondents' average age and household composition. Producers and retailers should better target their marketing activities and communication to different segments. [ABSTRACT FROM AUTHOR]

With the advent of the era of big data, data mining methods show their powerful information mining ability in various fields, seeking the association information hidden in the data, which is convenient for people to make scientific decisions. This paper analyses the butterfly effect in the agricultural product industry chain from the perspective of producer and consumer by using multidimensional time and space theory and proposes a new price forecasting method. We consider that the price change of agricultural products is not only affected by the balance of market supply and demand but also by the factors of time and space. Taking the pig industry chain of Sichuan Province as an example, this paper explores and excavates the data from 2010 to 2020 in the time dimension. Interestingly, we found that the price changes in pork in the market are generally highly correlated with the prices of slaughtered pigs, piglets a few weeks ago and the prices of multiple feed a few months ago. Based on the precise time-space factors, we improved the price forecasting model, greatly improved the accuracy of price prediction, and proved the effectiveness of multidimensional spatiotemporal association mining. The research in this paper is helpful to establish a brand-new agricultural product price prediction theory, which is of great significance to the development of the agricultural economy and global poverty alleviation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

To understand and promote the importance of business sustainability in agriculture as an important societal issue, one must use the circumstances to force modern-minded management to abandon the classical model of only complying with statutory obligations and to structure the knowledge to coordinate interdisciplinary approaches to ensuring sustainable innovation. The paper analyses the role of business sustainability in promoting sustainable innovation in agriculture. The study used a factor analysis applied to a sample of 183 companies (n1 = 183) and qualitative research through focus groups (n2 = 5). The main objective was to identify the factors influencing the innovated areas in relation to sustainability. The results of the factor analysis showed a six-factor solution: process approach, corporate social responsibility, quality management system, supply chain operation processes, demand for production, and employee performance. [ABSTRACT FROM AUTHOR]

In this paper, we aim to identify the intensity and nature of intra-industry specialisation in the global trade in citrus fruits. We used data from the United Nations Comtrade database. We performed both static and dynamic assessments of the intensity of intra-industry trade (IIT) by using the traditional Grubel-Lloyd index and the marginal IIT (MIIT) index, respectively. We also separated IIT into horizontal and vertical trade, and we verified the relation)ship between changes in the intra-industry pattern of trade and the level of comparative advantage gained by the largest producers and exporters of citrus fruits in the world. We used the revealed symmetric comparative advantage (RSCA) index to evaluate the level of international competitiveness. Conducting these analyses allowed us to fill the existing research gap by identifying the nature of IIT in products with specific quality characteristics but at a lower processing stage. The study's results indicated that the stronger the IIT or the more intensive shifts toward deepening the intra-industry specialisation, the lesser the comparative advantage of a country in the global export of citrus fruits. Nevertheless, the increased intensity of intra-industry specialisation does not always lead to a deterioration in the value of the trade balance. [ABSTRACT FROM AUTHOR]

Farms generally produce products with low differentiation. To reach an increase in the profit and sales, product differentiation is one of the potential strategies that could be successfully applied. This paper identifies "Intermediate Consumption/Total Output" as a simple and user-friendly indicator for farm product differentiation performance and comparison assessment in the Czech Republic, based on a two-step cluster analysis performed on 1 225 farms with different operating conditions and reproduction process characteristics in the Czech Republic. The data are sourced from Farm Accountancy Data Network (FADN CZ). Four farm clusters based on product differentiation levels are identified and described from the point of view of the production process and conditions. The resulting cluster profiles, in general, indicate the production conditions and process affecting the resulting product differentiation. Nevertheless, farms deliver extraordinary product differentiation values in fields with less favourable conditions and production processes. Those have the potential to be an inspiration for farms with lower product differentiation values. The result of this paper provides hope, less favourable conditions are not a limit for formidable performance. This paper result can be practically applied by anyone aiming to easily identify, evaluate, and compare farm product differentiation levels. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The aim of the paper was to define the effect of the pandemic on employee motivation. Following the questionnaires, the level of motivation in agricultural and forestry organizations before the COVID-19 pandemic in the years 2018-2019 and after the crisis in the years 2020-2021 was defined. The hypotheses were tested using the variance analysis with interactions. The analysed field (financial, social, work, and career-related) was presented by the dependent variable. The categorical independent variables were used to describe the age, gender, and the time before or after the COVID-19 pandemic. A reduction in the level of the requirements in all areas of motivation in terms of age and gender is the result of the study. The needs and requirements of the employees of agricultural and forestry organizations are reduced. The order of importance of the groups stays almost the same. The finding that the impact of the COVID-19 pandemic has, besides others, effect on human resource management, especially on employee motivation, is considered the main contribution of the study. The results of the study result in enhancing the knowledge about economic development through human resource management at the time of the health crisis caused by the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

This paper selects four grain crops of rice, wheat, soybean, and corn, analyzes their foreign trade from 2002 to 2020, and estimates the virtual land resource. The research results show that China's grain has always been in the state of net import. China mainly exports rice and imports soybeans, and the market structure has an obvious trend of simplification. The net import of virtual land resources in China's grain has grown significantly and has outstanding contribution ability. The average annual net import is 62.25 million ha, which is almost equivalent to the arable land area of China's one-cropping area. The net import contribution of soybean virtual land resources is about 101 times of its sown area, while corn, rice, and wheat account for about 10.42, 11.69, and 74.66% of its sown area. The net importers of virtual land resources are relatively concentrated, mainly in Brazil, the US, Argentina, Ukraine, and Canada. [ABSTRACT FROM AUTHOR]

The aim of the paper is to research the interrelationships between variables - the support of the direct manager (SDM), work engagement (WE), organisational trust (OT), and job autonomy (JA) in enterprises operating in agriculture. Both direct and indirect effects affecting the increase in work engagement of agrarian employees are analysed. For the data collection, a questionnaire survey among the employees of agrarian enterprises in Slovakia was used (680 respondents). For testing, we applied the theoretical research model and purposed hypotheses with the partial least squares structural equation modeling (PLS-SEM) method through the SmartPLS 3.0 software. The findings point out the existence of a statistically significant relationship between SDM and WE, which is, though, weaker than the overall effect by involving the mediation variables. Both mediation variables (OT and JA) separately increase the overall effect, but their common mediation influence mainly has a substantial significance. The intensity of the researched relationship increases with the length of employment. In the case of the employee's age and the size of the agrarian enterprise, there was a negative moderating effect on the relationship of the main proven variables. [ABSTRACT FROM AUTHOR]

This paper constructs a minimum-variance portfolio of six agricultural futures. We make a full sample analysis as well as a pre-COVID and COVID examination. Using Markowitz portfolio optimisation, we find that soybean futures have the highest share (31%) in the full sample portfolio because it has the lowest variance. Both soybean oil and rice futures have the second highest weight in the full sample portfolio, in an amount of 24%, because soybean oil has the second lowest variance, whereas rice has, by far, the lowest average correlation with other agricultural futures. Soybean oil has the highest share of 35% in the pre-COVID period, whereas rice follows with 27%. On the other hand, in the COVID period, soybean has a very high share in an amount of 47% due to the lowest risk, while rice takes second place with 19%. Based on the results, investors should invest the most in soybean oil and rice in tranquil periods, while the choice should be soybean and rice in crisis periods. Rice is the choice in both sub-periods because rice has a very low correlation with other agricultural commodities, which happens due to the price stabilisation of rice that is often conducted by Asian countries. [ABSTRACT FROM AUTHOR]

Citation: Andric Gusavac B., Stanojevic M., Cangalovic M. (2019): Optimal treatment of agricultural land - special multi-depot vehicle routing problem. Agricultural Economics - Czech, 65: 569-578. Abstract: This paper describes a problem of optimal agricultural land treatment using aviation. The studied problem consists of determining the optimal routes for a given set of aircraft used for chemical treatment of arable agricultural land divided into parcels. This NP (nondeterministic polynomial time) problem is represented on a graph and a mixed integer mathematical programming model of the problem is formulated. This mathematical model is a specific variant of the multi-depot vehicle routing problem where a min-cost plan for the transportation of a homogeneous product (chemicals used for land treatment) from different supply locations (airfields) to different demand locations (agricultural parcels) should be generated. Some specifics of the agricultural land chemical treatment are described in the paper and the following specific conditions are taken into consideration: each parcel is treated only by one way of treatment and one aircraft; for each aircraft its chemical and fuel reservoir capacities are sufficient to serve its route. The complexity of the problem and the impossibility to obtain exact solutions for larger dimensions of the problem led to the formulation of a special heuristics which is presented in this paper. Numerical experiments are successfully conducted for larger problem dimensions and results are presented. [ABSTRACT FROM AUTHOR]

Food represents everyday need and from this point of view is stable and computable demand on the consumer market. Based on the current development of households' net money income and consumption expenditures, the aim of the paper is to point at the development of food consumption and changes in the cost of living of the population in Slovakia. Previous food consumption analyses proved that eating habits of the Slovak population comply neither with healthy lifestyle nor recommended doses, due to the low level of disposable net money income. In the analysis, linear and nonlinear functions were used in order to evaluate the development and saturation of demand for basic foods in Slovakia in the period 2008-2017. During these years, the share of expenditures on food and non-alcoholic beverages did not significantly change the consumption expenditures; they moved in intervals from 19.2% (2017) to 23.1% (2013), which is still a high share in comparison with EU countries (12.2%). The analysis provided in the paper is a suitable base for food businesses to create a product portfolio based on different net money income and saturation demand for basic foods. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In this paper, we investigated the extent to which the accession to the EU has had an effect on increasing the variety of exports of agri-food categories for two Eastern European countries, namely Romania and Bulgaria. We also assessed the impact of changes in the variety of exports of agri-food categories on the dynamics of the volume of exports of agri-food products for these two countries and used the entropy to measure the variability of exports of agri-food products by categories. The results confirm the important role played by related variety in increasing a country's long-term exports of agri-food products and show that the high concentration of exports on a small number of categories of agri-food products that include mostly agricultural raw materials cannot ensure a sustainable increase in the export of agri-food products for Romania. In the case of Bulgaria, the related variety has a positive impact on ensuring a sustainable increase in agri-food exports. The accession to the EU was an important factor for the increase of the exported agri-food goods for Romania while in the case of Bulgaria, the accession to the EU did not mark a positive or negative shock on the volume of exports of agri-food products. [ABSTRACT FROM AUTHOR]

In this paper, we used several elaborate return-to-risk methods to investigate the risk-adjusted performances of five soft commodities. Regarding only the level of risk, we found that cocoa had the highest risk of losses, followed by orange juice. Cotton and coffee had the lowest risk of losses. However, according to the return-to-risk output, cotton was the worst asset in which to invest because it had negative average returns. In contradistinction, sugar had a relatively high risk of losses but also the highest average returns, which put it in the first place according to the Sharpe, Sortino and modified Sharpe ratios. Although orange juice had the second-worst downside risk performance, it came in second place according to the return-to-risk ratio because it had relatively high average returns. [ABSTRACT FROM AUTHOR]

The aim of this paper is to outline the relationship between income and assets when taking into account selected models of farms' functioning. The following farm models are examined: traditional, industrial, sustainable, and organic. Panel models were used that were based on the results of individual unpublished data for farms in Poland that undertook agricultural accounting according to the Farm Accounting Data Network (FADN) principles from 2004 to 2019. It was found that industrial farms had the clearest income-assets relationship, while traditional farms had the least clear relationship. The value of land, as a component of assets, was found to weaken the income-assets relationship. In consequence, the value of assets increased faster than income. Thus, the farmers are becoming wealthier in terms of the value of their assets, but this is not reflected in their income. [ABSTRACT FROM AUTHOR]

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 valuation 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This paper uses the global trade analysis project (GTAP) to evaluate the impact of grain export restrictions on world food security during the COVID-19 epidemic. The study found that export restrictions distort world market prices, which in turn distort consumption and production, harm the interests of consumers and farmers in some countries, and threaten food security. In this regard, maintaining the convenience of the food trade is the wise choice of all countries. It is necessary to tighten the World Trade Organization (WTO) disciplines related to export restrictions, strengthen global food security governance and jointly build a community with a shared future for mankind. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

On the complex framing of the agricultural fields, related to the corporate social responsibility (CSR), the general objective of this paper is to assess the impacts of environmental, social and governance (ESG) credentials of CSR and human capital features on the financial performance of agricultural companies. The data consists of a sample of 412 public companies from the Thomson Reuters Eikon database, with data for 2020, operating in 17 agricultural areas with headquarters allocated around the world. The methodological endeavor embeds two econometric procedures, multifactorial models of robust regression and structural equation modelling (SEM). The research results bring new evidence to underline the risks related to the sustainability of the financial performance of agricultural companies and the decisive role played by the ESG dimensions to counteract these risks, particularly by the environmental pillar, along with CSR specific strategies and human capital characteristics (management board and employees). We propose several strategies for companies operating in agricultural fields in order to enhance profitability by CSR measures. [ABSTRACT FROM AUTHOR]

Within the last three decades commodity markets, including soft commodities markets, have become more and more like financial markets. As a result, prices of commodities may exhibit similar patterns or anomalies as those observed in the behaviour of different financial assets. Their existence may cast doubts on the competitiveness and efficiency of commodity markets. It motivates us to conduct the research presented in this paper, aimed at examining the Halloween effect in the markets of basic soft commodities (cocoa, coffee, cotton, frozen concentrated orange juice, rubber and sugar) from 1999 to 2020. This long-time span ensures the credibility of results. Apart from performing the two-sample t-test and the rank-sum Wilcoxon test, we additionally investigate the autoregressive conditional heteroskedasticity (ARCH) effect. Its presence in our data allows us to estimate generalised autoregressive conditional heteroskedasticity [GARCH (1, 1)] models with dummies representing the Halloween effect. We also investigate the impact of the January effect on the Halloween effect. Results reveal the significant Halloween effect for cotton (driven by the January effect) and the significant reverse Halloween effect for sugar. It brings implications useful to the main actors in the market. They may apply trading strategies generating satisfactory profits or providing hedging against unfavourable changes in soft commodities prices. [ABSTRACT FROM AUTHOR]

In most developing countries, the agricultural industry has the potential to alleviate poverty at a faster rate compared to other sectors. As such, many governments have initiated policies and programme to improve agricultural performance. However, some of these projects have not achieved success because the local agricultural markets are often controlled by a small group of stakeholders who tend to hide information in the market despite having huge market power. This paper aimed to determine the issues and impacts of the lack of market information in developing countries and to provide strategies for solving such problems. Results show that the presence of an oligopsonic market system, current information and communication technology (ICTs), the lack of market infrastructure and gender limitations are the main issues related to a lack of information. In turn, lack of information leads to an inefficient agricultural market, causes negative impacts on market participants, and ultimately leads to harmful socio-economic effects. Thus, to solve these problems, it is necessary to improve capacity building, increase access to ICTs and improve market infrastructure. [ABSTRACT FROM AUTHOR]

The aim of the paper is to explain beef consumption through the economic indicators and the prediction tendencies of beef consumption. There are countries like Slovakia that confirm the opposite trend despite the global trend of consumption growth. In terms of the ecosystems' sustainability, beef production should be adjusted accordingly, as in the case of Slovakia. We focus on the economic aspect of beef consumption from the perspective of sustainability. Commodity prices are considered to be a significant factor influencing consumption and the behaviour of beef consumers. Despite increasing income in Slovakia, consumption of beef covers only 30% of recommended doses in the year 2018. To achieve the objective of the research, we decided to use the calculation of price and income elasticity of food demand using the Almost Ideal Demand System (AIDS) model to analyse meat consumption trends. The findings confirm that beef consumption will decline in Slovakia in the following years, and it will be progressively replaced by pork and poultry meat. [ABSTRACT FROM AUTHOR]

The primary sector plays a key role in any country, from both economic and social perspectives, as has been underscored by the ongoing COVID-19 pandemic. In Europe, this sector is highly dependent on the aid provided under the Common Agricultural Policy (CAP). Therefore, the distribution of this aid among the various recipients is crucial to maintaining a strong primary sector throughout the European Union (EU). This is especially true in light of the new funding for the period from 2021 to 2027 and the United Kingdom's departure from the EU. In this sense, the 93.5% of the first pillar of CAP aid consists of direct aid to farmers. The related literature has shown its effect on aspects such as sustainability and farmers' income, among others, and its distribution in specific geographical areas. In this vein, the present paper conducts a longitudinal and cross-sectional analysis of the distribution of aid across EU countries. The results show that the CAP reforms and the incorporation of countries into the EU influenced the distribution of aid. Moreover, there is a clear division between Eastern and Western EU countries, with a more equitable distribution of aid in the West. [ABSTRACT FROM AUTHOR]

The main purpose of this paper is to provide a detailed overview of the theoretical insights and recent development trends on risk in agriculture. It focuses on the synthesis and analysis of the research studies published over the period from 2008 through 2018 and aims to identify major findings obtained over the recent decade and determine the areas for future research. This paper reviews a total of 397 unique publications retrieved from the international journals accessible in the Web of Science database. Based on different criteria deployed by the scientometric analysis, the selected articles have been reviewed and classified. The bibliometric analysis includes the citation volumes, authors, names of journals, research areas, affiliations, and contributing countries. The network analysis includes the examination of keywords. This article provides an opportunity for scholars, practitioners, and policy-makers to understand and manage risk in agriculture and at the same time presents a roadmap for future research in this field. [ABSTRACT FROM AUTHOR]