Template-Type: ReDIF-Article 1.0 Author-Name: Tomas Hlavsa Author-Name: Jindrich Spicka Author-Workplace-Name: Institute of Agricultural Economics and Information, Prague, Czech Republic Author-Name: Marie Stolbova Author-Workplace-Name: Institute of Agricultural Economics and Information, Prague, Czech Republic Author-Name: Zuzana Hlouskova Author-Workplace-Name: Institute of Agricultural Economics and Information, Prague, Czech Republic Title: Statistical analysis of economic viability of farms operating in Czech areas facing natural constraints Abstract: 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 economic viability with regard to the level of natural disadvantage and with regard to farm specialisation. The database of Farm Accountancy Data Network (FADN) was used for assessment; the authors built the Farm Economic Viability indicator, which is based on modified Farm Net Value Added. The differences between the farm groups were tested through analysis of variance. Significantly lower viability was found in ANCs compared to farms outside ANCs. Field crops achieved significantly higher levels, both in and outside ANCs. The most threatened group of farms are grazing livestock in ANCs. Keywords: agriculture, analysis of variance, areas facing natural constraints, farm economic viability, farm specialisation Journal: Agricultural Economics Pages: 193-202 Volume: 66 Issue: 5 Year: 2020 DOI: 10.17221/327/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/327/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202005-0001.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:5:id:327-2019-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Nuno Carlos Leitão Author-Workplace-Name: Polytechnic Institute of Santarém, Santarém, Portugal Author-Workplace-Name: Center for Advanced Studies in Management and Economics, Évora University, Évora, Portugal Author-Name: Jeremiás Máté Balogh Author-Workplace-Name: Department of Agricultural Economics and Rural Development, Corvinus University of Budapest, Budapest, Hungary Title: The impact of intra-industry trade on carbon dioxide emissions: The case of the European Union Abstract: 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 intra-industry trade and climate change. The assumptions are confirmed by panel fixed effects, and Generalized Method of Moment (GMM) estimations, and the panel cointegration test. The empirical results have supported by the literature, and all variables used in this study are stationary applying panel unit root test. Results show that agricultural intra-industry trade, renewable energy is negatively correlated with climate change, confirming the less pollutant hypothesis, while economic growth and agricultural productivity induce environmental problems. This study confirms the theoretical hypotheses explaining the effect of intra-industry trade for agricultural products as well as the impacts of renewable energy use, agricultural land productivity, and economic growth on CO2 emissions. Keywords: agriculture, climate change, economic growth, Europe, intra-industry trade, panel data, renewable energy Journal: Agricultural Economics Pages: 203-214 Volume: 66 Issue: 5 Year: 2020 DOI: 10.17221/312/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/312/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202005-0002.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:5:id:312-2019-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Dejan Živkov Author-Workplace-Name: Novi Sad School of Business, University of Novi Sad, Serbia Author-Name: Boris Kuzman Author-Workplace-Name: Institute of Agricultural Economics, Belgrade, Serbia Author-Name: Jonel Subić Author-Workplace-Name: Institute of Agricultural Economics, Belgrade, Serbia Title: What Bayesian quantiles can tell about volatility transmission between the major agricultural futures? Abstract: 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 the lowest amount of volatility shocks from all other agricultural futures. The reason could be the policy of rice price stability that is conducted by countries in the Asia and Pacific region. This result favours rice futures, from the four commodities, as the primary asset in a portfolio. All other futures are suitable to be an auxiliary asset in a portfolio with rice, because rice receives the weakest volatility shocks spillover effect from the other three markets. Keywords: bidirectional volatility spillovers, regime-switching volatilities, Monte Carlo estimation Journal: Agricultural Economics Pages: 215-225 Volume: 66 Issue: 5 Year: 2020 DOI: 10.17221/127/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/127/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202005-0003.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:5:id:127-2019-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Elisa Giampietri Author-Workplace-Name: Department of Land, Environment, Agriculture and Forestry, University of Padova, Padova, Italy Author-Name: Samuele Trestini Title: Analysing farmers' intention to adopt web marketing under a technology-organisation-environment perspective: A case study in Italy Abstract: 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 perception of customers' positive expectation about WM adoption by the farm shows a negative effect, suggesting that external pressures can inhibit farmers' intention. Findings are valuable to understand how to develop policies to support WM adoption among farmers, that is important to gain access to the market especially for smallholders. Keywords: e-commerce, farm digitalization, innovation adoption, structural equation model, Technology-Organisation-Environment model Journal: Agricultural Economics Pages: 226-233 Volume: 66 Issue: 5 Year: 2020 DOI: 10.17221/355/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/355/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202005-0004.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:5:id:355-2019-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Zbigniew Gołaś Author-Workplace-Name: Department of Finance and Accounting, Faculty of Economics and Social Sciences, Poznań University of Life Sciences, Poland Title: The effect of inventory management on profitability: evidence from the Polish food industry: Case study Abstract: 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 stocks clearly tends to become shorter due to a reduction in the days in inventory ratio for materials and finished products. Based on panel regression models, this study demonstrated that an improvement in inventory management efficiency is positively correlated with financial performance, measured as the return on operating assets. Keywords: food industry, inventory turnover, panel analysis, Poland, return on assets Journal: Agricultural Economics Pages: 234-242 Volume: 66 Issue: 5 Year: 2020 DOI: 10.17221/370/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/370/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202005-0005.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:5:id:370-2019-AGRICECON