The question of the sources of agricultural competitiveness is widely discussed on the farm and sectoral levels in the European Union. This paper assesses the competitiveness of the plant production using the combination of trade measures and strategic management measures in the selected European countries related to the Czech Republic. Thus, the paper evaluates and identifies the sources of competitiveness of plant production. In the case of Belgium and the Netherlands, labour and capital factors have a significant influence on production; in the case of the new member states, these factors are less important, and, conversely, market competitiveness factors are more crucial. The continuous convergence process between Belgium and the Netherlands is illustrated. The divergence between the Netherlands and the rest of the countries is also visible. There is a stable connection between the Czech Republic and Austria, France, and Slovakia. It can be mentioned that there is no statistically significant difference in the comparative advantage between 2005 and 2019, except in the case of France. Analysing sources of competitiveness among the countries of interest is a possible tool for the future direction of trade policies.

The paper, based on RCA, LFI and GL indices, and logistic regression analysis, allowed us to track the dynamics of the comparative advantage/disadvantage of the Czech Republic in individual commodity aggregates in relation to individual EU partners, and to comprehend the role of the main production factors. The only production factor with a statistically significant effect is capital. Trade with countries richly endowed with agricultural land and capital, in most cases, appeared not favorable for the Czech Republic in terms of having a comparative advantage over them, if measured with LFI index. The values of the GL index disclosed that trade with these countries is mostly of an inter-industry character. The analysis revealed the following top-3 mostly competitive Czech aggregates: S3-08 (animal feed stuff), S3-06 (sugar and sugar preparations), along with S3-04 (cereals and cereal preparations). Some aggregates appeared to not have any comparative advantage: S3-01 (meat, meat preparations), S3-05 (vegetables and fruits), and S3-41 (animal oils and fats). Speaking of developmental trends, from 2000 to 2019 the Czech Republic has managed to improve its position in agri-food trade within the EU-27 by 43.81% if measured with LFI, and by 51.63% if measured with RCA. These positive changes also appeared to be statistically significant.

This article deals with an analysis of the world sugar market, and specifically focuses on the supply and demand of refined sugar and their main determinants. The article first identifies the main determinants of the world supply of and demand for sugar, and further, their effect on such variables is quantified. Further, the component correlations on the selected market are analyzed. This consists of the identification of the factors affecting the production of refined sugar, as one of the main elements of the supply of sugar, as well as an analysis of the world price of sugar, as one of the significant factors affecting the world sugar market. The said correlations are quantified with the utilization of regression analysis on the basis of time series of the individual variables within the years 1980–2010. On the basis of the conducted analysis, the main determinants of the sugar supply on the world market within the analyzed period, for which an effect has been established both from an economic viewpoint, as well as from a statistical viewpoint, can be considered to be sugar reserves, its price and the acreage of sugarcane. The main determinant of the demand for sugar is, according to the conducted analysis, the global GDP on a new value level, as well as converted to one inhabitant. Further, the analysis also established the effect of the price of sugar and its reserves on the world production of refined sugar, and, last but not least, also the long-term tendency in the development of the world price of sugar. The analysis has proven significant influence of refined sugar supply, reserves of refined sugar, its price and area of sugar cane on sugar supply. Then, the analysis detected GDP as the main determinant of the sugar demand and the long memory in sugar prices. Finally, the influence of delayed price, reserves and delayed reserves on production has been proven.

This study investigates the adoption of precision agriculture technologies (PATs) in the Czech Republic. Using unbalanced panel data from the Czech Farm Accountancy Data Network (FADN) survey spanning the period from 2017 to 2021, it aims to identify the drivers and barriers to the adoption of PATs in Czech field crop production. The estimation of a probit binary choice model with a within-between random effects (WBRE) specification – a novel approach to addressing heterogeneity in panel data choice models – reveals that PATs adoption is significantly influenced by socio-economic factors such as labor intensity, indebtedness, manager education, and farm economic size, as well as environmental factors such as localization and land quality. Furthermore, the adoption of PATs is associated with temporal dynamics in labor intensity, production efficiency, specialization, and land ownership. The findings underscore the need for targeted policy measures to promote the adoption of technology and enhance agricultural efficiency. The contribution of this study lies in deepening the understanding of the determinants and barriers to precision agriculture adoption in the EU context, where empirical research remains relatively scarce.

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic