Agricultural Economics, 2020 (vol. 66), issue 5
Statistical analysis of economic viability of farms operating in Czech areas facing natural constraintsOriginal Paper
Tomas Hlavsa, Jindrich Spicka, Marie Stolbova, Zuzana Hlouskova
Agric. Econ. - Czech, 2020, 66(5):193-202 | DOI: 10.17221/327/2019-AGRICECON
The redesign of the Common Agricultural Policy (CAP) allows for more room to address issues related to stabilising farmers' income and developing their viability in areas facing natural constraints (ANC). Maintaining income levels, developing farm economies in rural areas, and encouraging competitive agricultural practises are the challenges facing the new CAP. ANCs in the Czech Republic are characterised by a lower level of income compared to areas outside ANCs and their generally prevailing specialisation in livestock production, which has been facing a relatively turbulent development in the last decade. The main aim of this paper is to evaluate...
The impact of intra-industry trade on carbon dioxide emissions: The case of the European UnionOriginal Paper
Nuno Carlos Leitão, Jeremiás Máté Balogh
Agric. Econ. - Czech, 2020, 66(5):203-214 | DOI: 10.17221/312/2019-AGRICECON
The reductions of climate change and greenhouse gas emissions are an essential objective of the European Union (EU) to achieving the reduction target by 20% by 2020. Along with energy consumption and agriculture, trade has a diverse impact on climate change. International trade usually negatively affects the environment, while the influence of intra-industry trade is more favourable. The paper investigates the impact of energy use, agriculture, and intra-industry trade on environmental pollution in EU countries using panel data for the period 2000-2014. The research frames the theoretical hypothesis that describing the relationship between agricultural...
What Bayesian quantiles can tell about volatility transmission between the major agricultural futures?Original Paper
Dejan ®ivkov, Boris Kuzman, Jonel Subić
Agric. Econ. - Czech, 2020, 66(5):215-225 | DOI: 10.17221/127/2019-AGRICECON
This paper investigates an idiosyncratic volatility spillover effect between the four agricultural futures - corn, wheat, soybean, and rise. In order to avoid biased measurements of the volatilities, we use the Markov switching generalized autoregressive conditional heteroskedasticity (MS-GARCH) model. The created volatilities are imbedded in the Bayesian quantile regression framework which can produce accurate quantile estimates. We report that soybean and wheat receive relatively high levels of volatility shocks from the other markets, and that excludes soybean and wheat as primary investment assets in a portfolio. On the other hand, rice receives...
Analysing farmers' intention to adopt web marketing under a technology-organisation-environment perspective: A case study in ItalyOriginal Paper
Elisa Giampietri, Samuele Trestini
Agric. Econ. - Czech, 2020, 66(5):226-233 | DOI: 10.17221/355/2019-AGRICECON
This study explores the factors that affect the intention to adopt web marketing (WM) at farm level as an innovation for business purposes. Data were collected from a direct survey among Italian farmers. The paper applies the Technology-Organisation-Environment (TOE) framework. Among the variables considered, the results mainly show that a higher perceived usefulness of WM leads to a greater intention to adopt it from farmers. Similarly, the intention to adopt WM is positively influenced by the customers' readiness to use this technology and the perceived ease of use. Moreover, the intention to adopt is lower for the farms showing a greater size. Surprisingly,...
The effect of inventory management on profitability: evidence from the Polish food industry: Case studyCase Study
Zbigniew Goła¶
Agric. Econ. - Czech, 2020, 66(5):234-242 | DOI: 10.17221/370/2019-AGRICECON
The main purpose of this study is to verify the causative link between inventory performance and profitability of food companies. This was done using the panel data methodology at the level of Polish food industry sub-sectors. The study takes account of the inventory mix, which includes the stocks of raw and other materials, work-in-progress, finished products and commodities. As shown by the analysis, the 2005-2017 period witnessed a decline in the share of inventories in total assets and in current assets. That trend was accompanied by an improvement in inventory management efficiency. The study also found that the days sales of inventory for total...