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Economic effectivity of fairs – KAVA Model testing on agricultural exhibitions
115-121Views:168This paper discusses the first experiences with the newly-developed KAVA-model. This model works on cash basis and evaluates cash inflow, outflow and Net Cash-Flow (NCF) in connection with four different interest groups connected to the given exhibition. The model was tested on four different exhibitions: Farmerexpo (Debrecen, Hungary) in 2005 and 2006, OMÉK (Budapest, Hungary) from 2005 and PolagraFarm (Poznan, Poland) 2006.The different fairs can be compared by their relative „economic values” that makes the auditing more reliable.
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Moral hazard in producer organizations - some experiences of an empirical survey
77-83Views:226A wide range of empirical experiences shows that the performance of Hungarian producer organizations (aka TÉSZ) significantly falls behind the activity observed in the developed Western European countries. Regarding this issue, the present study examines how moral hazard - as one of the possible reasons - influences the producers’ activities in cooperative organizations. Information for the research was collected with the help of a questionnaire survey among the members of PaprikaKert TÉSZ Ltd. A statistical path model has been developed for the research, which assumed that - in addition to a direct effect - moral hazard also affects collaborative activity by eroding trust. The statistical model has been tested both in member-member and members-management relations. The experiences from the survey clearly show that moral hazard exists in the producer organization. According to my results, though its measure cannot be regarded numerically considerable, its negative effect on cooperative activity can be proved with statistical examinations. Its effect can be divided into two aspects: besides a direct effect, an indirect one can also be detected, which means that moral hazard is able to reduce producers’ willingness to cooperate by eroding trust. Moreover, our results have clearly pointed out that moral hazard has a negative impact on member-member and members-management relations to varying degrees and through different mechanisms. In addition to the above tests, the empirical testing of another model called Sholtes trust model has been carried out, too. The validating was successful, so the model - which attributes trust to the faith in the partner’s loyalty and capability - is basically acceptable. The argument says that high-level trust can be observed among partners only when faith both in loyalty and capability is strong enough. The research, however, revealed that the above-mentioned two factors determine it in a different way: regarding trust between members, the faith in capability is more important; while trust towards the management is more determined by faith in loyalty.
JEL code: Q12, Q13
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Vertical price transmission analysis: the case of milk in the Slovak dairy sector
89-96Views:189Testing for nature price transmission and calculating elasticities of price transmission are important areas of research for providing insights into market efficiency issues. Symmetric or asymmetric price transmission has been the subject of considerable attention in agricultural economics. The concept of the price transmission is an important area of the research particularly in relation to the assessment of impact on the welfare of the vertical entities. The main goal of the paper is an analysis of the price transmission and its exploitation in case of price elasticity estimation in dairy sector. Work investigates vertical price transmission of milk in the Slovak agri-food chain. The research is based on Vector Error Correction Model (VECM) of the selected commodities at producer, processor and consumer level and the estimation of the parameters specified in the model. Moreover the paper determines the coefficient of elasticity of price transmission (EPT).
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The connenction between global innovation index and economic well-being indexes
87-92Views:582We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.
We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.
In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII.JEL Classification: B41, I31, O31, Q55
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