Template-Type: ReDIF-Article 1.0 Author-Name: Zdenka ZAKOVA KROUPOVA Author-Name: Lukas CECHURA Author-Workplace-Name: Department of Economics, Faculty of Economics and Management, Czech University of Life Science in Prague, Prague, Czech Republic Author-Name: Michaela HAVLIKOVA Author-Workplace-Name: Department of Economics, Faculty of Economics and Management, Czech University of Life Science in Prague, Prague, Czech Republic Author-Name: Pavlina HALOVA Author-Workplace-Name: Department of Economics, Faculty of Economics and Management, Czech University of Life Science in Prague, Prague, Czech Republic Author-Name: Michal MALY Author-Workplace-Name: Department of Economics, Faculty of Economics and Management, Czech University of Life Science in Prague, Prague, Czech Republic Title: Shadow prices of greenhouse gas emissions: An application to the Czech dairy production Abstract: The paper presents an analysis of the shadow prices of the greenhouse gas emissions in the Czech dairy production industry. There is employed the stochastic frontier multiple output distance function with two market outputs and one non-market (undesirable) output - greenhouse gas emissions - as a representation of a negative public good. The results show that shadow prices differ significantly between producers. Moreover, the price is not stable over time. Significant differences can be seen in shadow prices for the greenhouse gas emissions among the researched group of farmers with respect to the degree of intensification. Most noticeably, the higher the intensification, the higher the shadow price. However, no evidence for a significant relationship between the greenhouse gas prices and technical efficiency was found, and not even the development of the greenhouse gas prices and technical efficiency suggested any common patterns. Keywords: milk multiple output distance function, SFA, undesirable output, valuation Journal: Agricultural Economics Pages: 291-300 Volume: 64 Issue: 7 Year: 2018 DOI: 10.17221/303/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/303/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201807-0001.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:7:id:303-2016-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Petr BLIZKOVSKY Author-Workplace-Name: Secretariat General of the Council of the European Union, Brussels, Belgium Author-Name: Libor GREGA Author-Workplace-Name: Mendel University in Brno, Brno, Czech Republic Author-Name: Nahanga VERTER Author-Workplace-Name: Mendel University in Brno, Brno, Czech Republic Title: Towards a common agricultural policy in Africa? Abstract: The paper analyses the structure and level of international cooperation among African states in the area of agriculture and rural development. It focuses on the AU and its eight Regional Economic Communities. The international cooperation schemes between the World Bank, EU, FAO and African countries in agricultural policy are reviewed. The paper concludes that, despite numerous cross-border initiatives, governance of agricultural policies in the pan-African context remains fragmented. Policy-making and cooperation schemes need to be stepped up to address continent-wide challenges in the sector. There is an urgent need for the AU and the EU to intensify their cooperation in agricultural policies and development. The AU in collaboration with its regional bodies should establish a common agricultural policy for the continent. Such initiatives need to be Africa-driven and adapted to African needs. The EU should only provide technical know-how and institutional support if welcomed by African partners. Collective action towards rural areas via greater coordination of African agricultural policies and actions would help to develop the missing institutional framework needed for agricultural development in the continent. Fostering economic growth through agricultural development and reforms may also lead to a reduction of migration as witnessed by the EU in the sixties. Keywords: agriculture, cooperation, EU, integration, policy, programme Journal: Agricultural Economics Pages: 301-315 Volume: 64 Issue: 7 Year: 2018 DOI: 10.17221/310/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/310/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201807-0002.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:7:id:310-2016-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Peng-Sheng YOU Author-Workplace-Name: Department of Business Administration, National Chia-Yi University, ChiaYi, Taiwan Author-Name: Yi-Chih HSIEH Author-Workplace-Name: Department of Industrial Management, National Formosa University, Huwei, Yunlin, Taiwan Title: A study of production and harvesting planning for the chicken industry Abstract: To order to raise chickens for meat, chicken farmers must select an appropriate breed and determine how many broilers to raise in each henhouse. This study proposes a mathematical programming model to develop a production planning and harvesting schedule for chicken farmers. The production planning comprises the number of batches of chickens to be raised in each henhouse, the number of chicks to be raised for each batch, what breed of chicken to raise, when to start raising and the duration of the raising period. The harvesting schedule focuses on when to harvest and how many broilers to harvest each time. Our aim was to develop proper production and harvesting schedules that enable chicken farmers to maximise profits over a planning period. The problem is a highly complicated one. We developed a hybrid heuristic approach to address the issue. The computational results have shown that the proposed model can help chicken farmers to deal with the problems of chicken-henhouse assignment, chicken raising and harvesting, and may thus contribute to increasing profits. A case study of a chicken farmer in Yunlin County (Taiwan) was carried out to illustrate the application of the proposed model. Sensitivity analysis was also conducted to explore the influence of parameter variations. Keywords: chicken business, harvesting schedule, mathematical programming, production planning Journal: Agricultural Economics Pages: 316-327 Volume: 64 Issue: 7 Year: 2018 DOI: 10.17221/255/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/255/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201807-0003.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:7:id:255-2016-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Piotr FISZEDER Author-Workplace-Name: Department of Econometrics and Statistics, Faculty of Economic Sciences and Management, Nicolaus Copernicus University in Torun, Torun, Poland Author-Name: Witold ORZESZKO Author-Workplace-Name: Department of Applied Informatics and Mathematics in Economics, Faculty of Economic Sciences and Management, Nicolaus Copernicus University in Torun, Torun, Poland Title: Nonlinear Granger causality between grains and livestock Abstract: Linear and nonlinear Granger causality between three grains: corn, soybean, wheat and two livestock commodities: live cattle and lean hogs, was verified. Weak evidence of linear causal relationships was found, supporting the results published in other studies. However, strong nonlinear causal relationships between grain and livestock returns were found, which had not yet been documented in the literature on this subject. The revealed relationships have different patterns and features, and in some cases, they arise from second moment dependencies, but nonlinearities of a different type were also found. Most of the discovered nonlinear relationships are bidirectional. Keywords: agricultural futures contracts, grain and livestock prices, multivariate GARCH model, nonlinear causality tests Journal: Agricultural Economics Pages: 328-336 Volume: 64 Issue: 7 Year: 2018 DOI: 10.17221/376/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/376/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201807-0004.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:7:id:376-2016-AGRICECON