Current issue
No 2/2020, June

Application of System Thinking Approach in Identifying the Challenges of Beef Value Chain


In this study, the system thinking approach was used to explain the challenges of the beef value chain in Mashhad, Iran. Due to the complexity of the system and its dynamic nature, rich picture and CATWOE analysis were used to structure the problem. After structuring the problem, the relationships between the chain actors were drawn in the causal loop diagram. Then, the system archetypes were identified. Results showed that the dynamics of this value chain could be explained by limit to growth, fixes that fail and shifting the burden archetypes. The results indicated that the beef import policy has not been effective to regulate the domestic market. Also, it can be concluded that beef cattle production in Mashhad is largely dependent on sustainable supply of livestock feed. So, enhancing cattle production requires policy making to increase availability of livestock feed. Therefore, it is recommended to plan for increasing its production through changing irrigation system and using early maturing and drought-tolerant varieties of corn.

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Determinants of International Beer Export


The aim of this paper was to identify factors influencing dynamics of international beer export. The Poisson pseudo maximum likelihood estimator was employed to estimate the export determinants of the biggest global beer exporters to 199 destinations between 2000 and 2017. We estimated that international beer export is positively influenced by gross domestic product of importing countries and cultural similarities. Trade between countries that share common borders, same language or colonial links has shown to be a very strong and positive determinant. We found a significant role of customs unions and signed free trade agreements; however, this result was not robust across all estimated models. Beer export is negatively affected by the distance between trading countries and their landlockedness, which confirms the relevance of transport cost in beer trade. Beer exports are declining with rise in population of importing countries, which signals an advantage in targeting countries with less differentiated beer supply.

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The Impact of Official Development Assistance on the Productivity of Agricultural Production in Ghana, Cameroon and Mali


African economies depend largely on agriculture. Most people in Africa spend most of their lives in rural areas. Agriculture is an important sector of African industry and economy, it employs more than half of the population and accounts more than half of the national income. Due to population increase the food security remains an issue. In accordance of the lack of domestic capacities of African countries to deal with the problem, it is particularly important to increase assistance from developed countries. African States are expected to demonstrate the ability to implement policies that will change with the funds received / while receiving funds. However, for various reasons, despite numerous aid packages, it/Africa remains backward. This article examines the impact of foreign aid on agricultural productivity and the impact of the quality of management on development aid flows. As examples, it was decided to take such countries as Ghana, Cameroon and Mali. The purpose of this article is to confirm the hypothesis that development assistance correlates positively with the productivity of agriculture. The second hypothesis suggests that development aid flows respond to the quality of public administration. As for the results, the impact between the variables was recorded, but the results were ambiguous.

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Readiness for ICT Based B2C Information Flow – Case Study of the Hungarian Food Sector


The complexity of information flow and cooperation among enterprises operating in a supply chain is growing. This process has a significant impact on the economy and the objective is that both traditional and new ICT (Information and Communication Technology) solutions meet the pressing needs for more efficient business processes. The current paper focuses on enterprises belonging to the food supply chain and analyses some indicators supporting the information flow within the company and with partners (being either a partner enterprise or the final consumer). Our Institute has prepared a survey to examine the ICT usage and attitude by enterprises operating in the agri-food sector. The importance of business processes supportable by ICT had to be assessed by companies. In this study we evaluated the importance of some ICT indicators supporting information flow in the chain. The main objective of the current article is to determine the difference between food enterprises divided by different grouping factors regarding their evaluation of the chosen indicators. In our opinion, competitive advantage may be reached using ICT solutions for widening and maintaining relations through a more effective information flow with partners and consumers.

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Recruitment Aspects in the Agricultural Sector: Survey of Enterprises in the Czech Republic


Recruitment is one of the most important human resource management tools in the field of agriculture with reference to the current state of the labour market and the concept Agriculture 4.0. The first part of this article concentrates on the recruitment, on-line recruitment and recruitment methods. The second part evaluates the results of a quantitative survey carried out in the Czech Republic. The principal aim of this research project is to identify aspects in recruitment in the field of agriculture. Data were obtained by means of an electronic questionnaire completed by Czech agricultural enterprises (N=980). For data evaluation Chi-squared test was used. The survey shows that agricultural enterprises mostly prefer traditional methods for recruitment i.e. employee referral – 91.4%; internal recruitment – 81.4%. If on-line recruitment is used, then the website of the enterprise (55.1%) is usually exploited. Moreover, the enterprises surveyed make less use of “mobile recruiting” – such as pracezarohem (11.4%).

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Exploring the Consumers Willingness of Using E-Commerce to Purchase Geographical Indication Based Crops, a Case Study of Udupi Jasmine


Udupi jasmine cultivation has proven to be a successful viable community-based enterprise (CBE) in coastal Karnataka of India. Jasmine cultivation plays a major role in the socio-economic status of this CBE. This study focuses on exploring the consumers willingness of using e-commerce to buy Udupi jasmine. An e-commerce test web application was built and was demonstrated to consumers. Demographic details, jasmine buying purpose and frequency, online shopping details and willingness of consumers to buy jasmine online was captured. Study showed positive correlation between consumers willingness of using e-commerce to buy jasmine and recommending the e-commerce web application to others. The study validates the e-commerce framework using which the web application was built to market Udupi jasmine which has a Geographical Indication (GI) tag. Hence the study provides new approaches in marketing crops that are specific to a geographical location and presents new direction in the sector of GI based crops.

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Geographical Indications as Factors of Market Value: Price Premiums and Their Drivers in the Hungarian Off-Trade Wine Market


Using the name of the production zone to differentiate agricultural products has a longstanding tradition. Theory suggests that some of these names have a market value as they represent the common reputation of the producers and thus may contribute to dissolving the information asymmetry between producers and consumers. This study takes the example of the Hungarian off-trade wine market to show that price premia are attainable by using some GIs. It is revealed that group homogeneity is an essential factor of collective decisions on higher quality standards, which are important drives of price premia. Moreover, barriers to entry and the quality of the demarcated area are also related to the prices attainable by using GIs.

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Animal Food Demand in Indonesia: A Quadratic Almost Ideal Demand System Approach


This research aims to analyze the impact of the price change, the income, and the household size on the demand for five commodity groups, i.e. eggs, chicken, beef, fish and powder milk. The data utilized in this study is based on the Indonesian National Socio-Economic Survey 2016. There are 291,414 data of households in Indonesia which was analyzed by Quadratic Almost Ideal Demand System. The result shows that all of the price elasticity was negative and the income elasticity was positive. The effect of income causes the demand for animal foods in Indonesia to be more elastic rather than other commodities with the highest demand of elasticity, i.e. beef, powder milk, fish, meat and eggs by 2.19%, 1.96%, 1.53%, 1.43%, and 0.53% respectively. The beef has the most sensitive effect to changes the income. Therefore, the government requires maintaining the stability of beef prices to increase beef consumption in Indonesia.

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Design and Realization of Interconnection of Multifunctional Weighing Device with Sigfox Data Network


With the increasing expansion of IoT networks, people are trying to connect more and more devices to data networks. Nowadays, such devices are made possible by platforms such as Arduino and Espressif. In recent years, one of the areas of interest for IoT has been the development and maintenance of beekeeping. Although there are various commercial solutions for multifunctional hive scales (BeeSpy or Alya), they are quite expensive. In this paper, we present a hardware and software solution to this problem. From a hardware point of view, our goal was to design such a device that would be competitive, capture various data using ambient sensors, and communicate over the new SigFox data network that was introduced in Slovakia in 2018. From a software point of view, we aimed to design and implement an application for smartphones. With this application, it is possible to fully visualize all acquired sensor data. The communication between the multifunction weighing device and the user's smartphone is ensured via SMS messages.

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Welfare with IoT Technology Using Fuzzy Logic


The article describes the concept of deploying IoT technologies within the environment of agrarian operations using a system approach with a focus on fuzzy logic. In addition to the introductory acquaintance with IoT and fuzzy theory, the paper focuses on specific possibilities of applying the fuzzy approach, especially in the case of animal husbandry. The main benefit for this field is the fulfillment of welfare principles and the achievement of economic savings based on optimization. The article also showcases a practical implementation of a demonstrative solution in the JavaScript programming language using data from IoT sensors.

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