Objective. The Course aims to provide the students with a deep understanding of the complexity of individual agro-food choices using economic terminology.  More specifically this teaching programme provides useful tools to understand the analysis of new agro-food consumption patterns and the factors that favoured the change.

The course will also expose the student to scientific literature in applied economics focusing on main concerns of agro-food choices.

Expected outcomes. Students that will take this course should be able to define and identify economic terms and key concepts of the  new trends in agro-food consumption. They should be able to:

  • analyse agro-food consumption and current food consumption patterns
  • understand economic literature
  • apply the rationale and tools of analysis to understand the economic consequences of agro-food  consumption issues

Target groups. The most important group refers to Educators in the system of adult education, who are responsible for the upgrading of human capital employed in the agricultural sector (e.g. farmers, workers). Secondly, Policymakers  are also a potential target. . Finally, the third group refers to Market analysts

Basic knowledge. Regarding the theoretical background, students are expected to detain some basic knowledge in statistics and English language.




This course aims to present the possibilities of using business intelligence in agriculture by help of the available software tools. At first, we shortly introduce the concept of business intelligence and present available platforms and tools that could be used for implementation of business intelligence systems. We also investigate the use of business intelligence in agriculture, based on available literature. A set of practical exampls of using simple business intelligence tools on a set of agricultural data is provided to demonstrate possibilities of data display and analysis using different tools and visualizations in Microsoft Excel. Due to the use of these tools, decision-makers should have the ability to independently create views of the data from different perspectives, and receive timely information tailored to their own needs.


Key words: business intelligence, agriculture, data analysis, reporting, decission support



Objective. The Course aims to provide the students with the key concepts of the real economic value of natural resources, the difference between renewable and non-renewable resources, the sustainable exploitation of natural resources, to achieve  an economically viable sustainable farming. In addition, the Course will provide the essential knowledge of participatory approaches adopted in the valorization of local resources, such as common goods, landscape, and rural amenities.

Expected outcomes. Students will be able to learn how to analyse the trade-off between economic viability of farm and the conservation of natural resources (e.g. groundwater, soil fertility), to pursue a sustainable farming. They will be able to perform the Management of Natural Resources, that is, to make the best use of natural resources for economic purposes. Students will learn how to organize and conduct a Participatory approach. They will be able to promote the dialogue among local economic players, in order to favourite horizontal integration (among farmers) and vertical integration (with other players of the value chain) in order to valorise the agricultural products and services.

Target groups. The most important group refers to educators in the system of adult education, who are responsible for the upgrading of human capital employed in the agricultural sector (e.g. farmers, workers). Secondly, agricultural advisors are also a potential target, especially for those providing services to cooperatives, farmers’ associations, and consultancy to public institutions. Finally, the third group refers to managers of public institutions, involved in policy design, implementation, monitoring and control.

Basic knowledge. Regarding the theoretical background, students are expected to detain some basic knowledge in micro-economics and structure of the Common Agricultural Policy (CAP). Basic knowledge in Agronomy and Farm Management is also highly desirable. In order to conduct some practical exercise, they are also expected to have some basic pc skills to use Office suite software (e.g. Excel, Word, Powerpoint) to conduct some quantitative exercise. Basic skills to conduct a descriptive statistics from database (primary or secondary data) is also determinant to gain some capacity of applying the knowledge to some practical problems.





The Course aims to provide the students with: understanding of public choice on agro-food safety including the impact of chemical and GMOs on domestic and international trade, understanding of agro-food markets and the impact of agro-food safety issues and legislation, learning the basics of trade and policy analysis, understanding scientific and economic literature on the issue, learning how to make a proper use of data. People that will take this course should be able to define and identify economic terms and key concepts of the economics of agro-food safety and legislation. They should be able to: interpret market analysis, understand scientific and economic literature, apply the rationale and tools of analysis to predict the economic consequences of agro-food safety policies and events. The target groups are educators in the system of adult education and agricultural advisors. The contect of the course concern basic economic concepts (demand and supply), definitions and basic concepts of agro-food safety, history of agro-food safety policies and regulations, market impact of agro-food safety policies and regulations, international trade regulations and impact on exchange, quantities and price, basics of economic analysis, case studies.




The process of agrarian intensification of the last century has brought with it a series of environmental, and even social, impacts.  It is therefore necessary to re-establish the balance between agriculture, livestock and the environment. The key tool for analyzing the globality of the system and evaluating the major environmental impacts of a product or service is the life cycle assessment, LCA. LCA allows selecting the option with greater sustainability and consequently a lower environmental impact from “Cradle to Grave”. A LCA study consists of four steps: Purpose and scope, Inventory analysis, Impact analysis and Interpretation. Inside yje impact a nalysis, the evaluation is carried out using a number of categories of impact (which varies depending on the method chosen), wich the more used in agriculture are acidification, eutrophication, global warming and abiotic depletion. In the Interpretation phase inventory analysis results are combined with impact assessment. It allows determining in which phase of the product life cycle the main environmental loads are generated. There are several methods for conducting LCA that vary among countries, trends, categories of impact and characterization values within categories. Finally, students will learn the use of LCA methods, the usefulness, and that the process and products can be improved in a environmental point of view.

 

Keywords: environmental management system; ecoinvent; categories of impact;



The quantitative methods of operational research have been used in the scientific and professional occupation activities in agriculture and agribusiness for some time now. The development of easily accessible software tools, like MS Excel Add-inn Solver provides for a relatively easy usage of the methods of linear programming to the wider group of beneficiaries. The purpose of this course os to provide to a theoretical bases of the users regarding the basic aspects of the linear programming and its usage in agriculture and agribusiness. Through two case studies, thr algorithm of usage of the linear programming in the process of planning in agriculture and agribusiness is presented. A complet process is encompassed, starting from the defining of the problem, to the understanding of the results.


Key words: linear programming, agriculture, optimizing, agribusiness, crop production, livestock production