R12 - Size and Spatial Distributions of Regional Economic ActivityReturn

The main objective of this article is to assess whether changes in agricultural policy instruments influence the structure and volume of agricultural production in the Czech Republic (CR) and whether spatial disparities exist in the distribution of subsidies and payments. The analysis is based on time series data for 2000–2024 (2002–2024 for selected commodities) from the Czech Statistical Office and the Ministry of Agriculture, with nominal values adjusted to constant prices. The relationship between subsidies and production was examined using time-series methods, including causality tests, while spatial patterns were analyzed at the district level using Global and Local Moran’s I.
The results indicate that total agricultural subsidies are not significantly linked to overall sector performance but show a strong relationship with livestock production, with a lag of approximately five years. At the commodity level, no significant causality was found in most cases. Spatial analysis reveals that most area-based payments do not form stable regional clusters, although significant spatial autocorrelation was identified for selected measures, particularly payments for areas with natural constraints and animal welfare support.
The findings suggest that the effects of agricultural policy instruments are structurally selective and spatially differentiated, highlighting the need to consider both sectoral and regional heterogeneity when evaluating policy effectiveness.

The aim of the paper was to describe the literature overview of companies' location in the context of the economy and the assessment of companies' performance. Then there is the introduction of a new statistical methodology for the description of the location of companies because the location of companies is one of the most important factors which ensures the future successful development of a company. The methodology can be applied for the evaluation of companies' location and could answer the question of where it is better to place a new company. To tackle the location of companies, the local population and the health of companies was taken into account. The methodology is based on a point process. Since the population is unevenly distributed and companies choose their locations according to the size of the local population, it was not possible to use homogeneous models and thus the local scaling principals were used for modeling the inhomogeneity. For the evaluation of the health of companies, Neumeiers' indices were taken into account.