Agricultural Economics, 2021 (vol. 67), issue 5

Asymmetric price transmission and farmers' response in the Czech dairy chainOriginal Paper

Tamara Rudinskaya, Iveta Boskova

Agric. Econ. - Czech, 2021, 67(5):163-172 | DOI: 10.17221/22/2021-AGRICECON  

The standard economic price theory of working with efficient source allocation is being confronted with a series of empirical findings of asymmetric price responses. The objective of the research was to examine whether the distribution of prices within the dairy chain in the Czech Republic was fair and whether farmers progressed in a collective approach to strengthen their position in the supply chain. We used the pre-cointegration and cointegration approach to test for asymmetry in the transmission of farm milk prices throughout the supply chain. Furthermore, we measured the development of market concentration by means of the Herfindahl-Hirschman...

Use of human resources information system in agricultural companies in the Czech RepublicOriginal Paper

Pavla Vrabcová, Hana Urbancová

Agric. Econ. - Czech, 2021, 67(5):173-180 | DOI: 10.17221/452/2020-AGRICECON  

High-quality information systems explicitly focused on working with people help companies meet the increasingly complex requirements for registration of attendance, forms, employment contracts, and much more. The article's main goal is to identify areas of human resources management for which agricultural companies in the Czech Republic use information systems to increase the efficiency of processes and evaluate the development of their usage with regard to the support of digitisation. The data, which were subjected to factor analysis, were obtained via a questionnaire survey from selected 70 agricultural companies in the Czech Republic and via qualitative...

Searching for more balanced distribution of direct payments among agricultural farms in the CAP post-2020Original Paper

Renata Grochowska, Aleksandra Pawłowska, Aldona Skarżyńska

Agric. Econ. - Czech, 2021, 67(5):181-188 | DOI: 10.17221/417/2020-AGRICECON  

The study aimed to examine the changes in income inequalities in Polish farms and the impact of introducing the threshold of direct payments for farms (EUR 60 000) to form these inequalities. The research was based on data from the Farm Accountancy Data Network (FADN) for the years: 2006, 2013 and 2018. In each year, the sample included at least 10 000 observations that represented over 700 000 farms. The results were verified using statistical tests relating to the comparisons of averages and distributions of farm income for two samples and the Gini coefficient. The study noted deepening income inequalities in Polish farms, as evidenced by the increasing...

Export intensity and competitiveness of Indonesia's crude palm oil to main destination countriesOriginal Paper

Fachry Husein Rosyadi, Jangkung Handoyo Mulyo, Hani Perwitasari, Dwidjono Hadi Darwanto

Agric. Econ. - Czech, 2021, 67(5):189-199 | DOI: 10.17221/371/2020-AGRICECON  

Palm oil is a superior product from Indonesia that is continuously and widely used for daily needs such as cooking, grooming, and manufacturing. However, this potential must be supported by oil palm business actors' performance to maintain its intensity and competitiveness. This study investigates how various factors affect Indonesia's crude palm oil (CPO) export intensity and competitiveness by employing panel regression and the basic gravity model. The panel data used here is a 20-year time series with cross-sections from five major importers from 1999 to 2018. The results show that the importer's gross domestic product (GDP) and quantity of export...

Nonlinear analysis and prediction of soybean futuresShort Communication

Tao Yin, Yiming Wang

Agric. Econ. - Czech, 2021, 67(5):200-207 | DOI: 10.17221/480/2020-AGRICECON  

We use chaotic artificial neural network (CANN) technology to predict the price of the most widely traded agricultural futures - soybean futures. The nonlinear existence test results show that the time series of soybean futures have multifractal dynamics, long-range dependence, self similarity, and chaos characteristics. This also provides a basis for the construction of a CANN model. Compared with the artificial neural network (ANN) structure as our benchmark system, the predictability of CANN is much higher. The ANN is based on Gaussian kernel function and is only suitable for local approximation of nonstationary signals, so it cannot approach the...