Template-Type: ReDIF-Article 1.0 Author-Name: Zuzana Hloušková Author-Name: Michaela Lekešová Author-Workplace-Name: Liaison Agency FADN CZ, Institute of Agricultural Economics and Information, Prague, Czech Republic Title: Farm outcomes based on cluster analysis of compound farm evaluation Abstract: The purpose of this paper is to examine the internal structure of Czech agricultural holdings based on a multicriteria evaluation of the five dimensions representing the main functions of agriculture including production, economicfactors, financial stability, environmental, and social and other factors. A cluster analysis was performed to identify two clusters of farms. The first cluster consists of smaller holdings that specialize in livestock production and achieve poorer financial results compared to the second cluster, which includes a larger share of large holdings that focus on crop production. The first cluster exhibited better performance as regards environmental protection and financial stability. In contrast, the second cluster achieved better scores regarding production and economic factors. However, an evaluation of all dimensions showed that the second cluster of farms obtained slightly better ratings (2.7% above the overall average) then the first cluster (3.1% below the overall average score). It is up to policy makers to decide which group of farmers, is more approaching the aim of the new agricultural policy. Policy makers can consider the results of this study to find the areas where the sustainability rate should be increased and purposefully promote that by specific measures to achieve balanced farming system. Keywords: classification statistics, farm accountancy data network, multidimensional assessment, multifunctional farming, sustainability Journal: Agricultural Economics Pages: 435-443 Volume: 66 Issue: 10 Year: 2020 DOI: 10.17221/273/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/273/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202010-0001.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:10:id:273-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Nicoleta Mihaela Florea Author-Workplace-Name: Department of Finance, Banking and Economic Analysis, Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania Author-Name: Roxana Maria Bădîrcea Author-Workplace-Name: Department of Finance, Banking and Economic Analysis, Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania Author-Name: Ramona Costina Pîrvu Author-Workplace-Name: Department of Economics, Accounting and International Business, Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania Author-Name: Alina Georgiana Manta Author-Workplace-Name: Department of Finance, Banking and Economic Analysis, Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania Author-Name: Marius Dalian Doran Author-Workplace-Name: Department of Finance, Banking and Economic Analysis, Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania Author-Name: Elena Jianu Author-Workplace-Name: Department of Finance, Accounting and Economics, University of Pitesti, Pitesti, Romania Title: The impact of agriculture and renewable energy on climate change in Central and East European Countries Abstract: According to the objectives of the European Union concerning the climate changes, Member States should take all the necessary measures in order to reduce the greenhouse gas emissions. The aim of this study is to identify the causality relations between greenhouse gases emissions, added value from agriculture, renewable energy consumption, and economic growth based on a panel consisting of 11 states from the Central and Eastern Europe (CEECs) in the period between 2000 and 2017. The Autoregressive Distributed Lag (ARDL) method was used to estimate the long-term relationships among the variables. Also a Granger causality test based on the ARDL - Error Correction Model (ECM) and a Pairwise Granger causality test were used to identify the causality relationship and to detect the direction of causality among the variables. The results obtained reveal, in the long term, two bidirectional relationships between agriculture and economic growth and two unidirectional relationships from agriculture to greenhouse gas emissions and renewable energy. In the short term, four unidirectional relationships were found from agriculture to all the variables in the model and one unidirectional relationship from renewable energy to greenhouse gas emissions. Keywords: Autoregressive Distributed Lag model, Environmental Kuznets Curve theory, greenhouse gas emissions, gross value added from agriculture Journal: Agricultural Economics Pages: 444-457 Volume: 66 Issue: 10 Year: 2020 DOI: 10.17221/250/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/250/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202010-0002.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:10:id:250-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Ding Chen Author-Workplace-Name: School of Economics and Management, Xi'an Shiyou University, Xi'an, China Author-Workplace-Name: Department of Economics, University of Kansas, Lawrence, Kansas, United States Author-Name: Umar Muhammad Gummi Author-Workplace-Name: School of Economics and Management, Xi'an Shiyou University, Xi'an, China Author-Workplace-Name: Department of Economics, Sokoto State University, Sokoto, Nigeria Author-Name: Shan-Bing Lu Author-Workplace-Name: Institute of Silk Road, Northwest University, Xi'an, China Author-Name: Asiya Mu'azu Author-Workplace-Name: Department of Economics, Sokoto State University, Sokoto, Nigeria Title: Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries Abstract: Oil exporting economies were the most hit by the recent oil price shock that spills on the food market in an increasingly volatile macroeconomic environment. This paper examines and compares sub-samples [before crisis (2000 Q1-2013 Q1) and during crisis (2013 Q2-2019 Q4)] as to the impact of oil price on food prices in high- and low-income oil-exporting countries. We found an inverse relationship between oil and food prices in the long run based on full samples and sub-samples in high-income countries. The story is different during the crisis period: in low-income countries and all the countries combined, oil and food prices co-move in the long run as measured by the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our findings suggest that economic structure and uncertain events (crises) dictate the behaviour and relationship between food and oil markets. Food and oil prices may drift away in the short-run, but market forces turn them toward equilibrium in the long-run. Moreover, low-income countries are indifferent in both periods due to limited capacity to balance the increasing demand for and supply of food items. Keywords: Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS), food price, oil price Journal: Agricultural Economics Pages: 458-468 Volume: 66 Issue: 10 Year: 2020 DOI: 10.17221/197/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/197/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202010-0003.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:10:id:197-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Anett Lászlok Author-Workplace-Name: Doctoral School of Management and Business Administration, Szent István University Gödöllő, Hungary Author-Name: Katalin Takács-György Author-Workplace-Name: Institute of Organization and Management, Keleti Faculty of Business and Management, Óbuda University, Budapest, Hungary Author-Name: István Takács Author-Workplace-Name: Institute of Economics and Social Sciences, Keleti Faculty of Business and Management, Óbuda University, Budapest, Hungary Title: Examination of first generation biofuel production in some selected biofuel producing countries in Europe: A case study Abstract: The EU is committed to increasing the use of renewable energy sources. In the sector of transportation, the share of renewable energy is to reach 10% by 2020 and 14% by 2030, respectively, in the EU. According to the latest forecasts, the production of the first-generation biofuels made from food raw materials is showing a declining tendency in the main European producing countries. Therefore, the objective of our research is to forecast the production of some selected biofuel producing countries within the EU as well as the traditional biofuel production in Hungary. The question of land use changes due to the new regulations is crucial. Our examinations were carried out by using Verhulst's logistic function based on the biofuel production data of EUROSTAT. The function has already reached the saturation level in Germany, France and Sweden but in the case of other examined countries, biofuel production is also in the phase of slowing growth. Furthermore, findings are also justified by the 2015 regulation that restricts the share of producing first-generation biofuels in the final energy consumption to 7% and promotes the production of advanced biofuels, thereby decreasing the indirect change in land use and increasing sustainable crop production. Keywords: forecast, land use, logistic function, primary biomass Journal: Agricultural Economics Pages: 469-476 Volume: 66 Issue: 10 Year: 2020 DOI: 10.17221/237/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/237/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202010-0004.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:10:id:237-2020-AGRICECON