In this paper we develop and present the SLEM model created to measure the market potential of local goods suppliedby the entrepreneurs of the Cserehát region, one of the most deprived regions of Hungary. The SLEM model evaluatesgoods along four dimensions: supplier conditions, labour conditions, (professional) embeddedness, and marketconditions. The four pillars were measured with factors that are easily accessible, and so the evaluation can berepeated with other regions as well. In case of Cserehát, we have identified the following five groups of local goodswith the greatest potential: animal husbandry; honey; spices and pharmaceutical crops; nature tourism; and mineralwater.
Growing global social and environmental problems draw attention to rethinking traditional marketing approaches. There are many signs of social and environmentally conscious marketing being now rediscovered. The main objectives of our comprehensive research project on social marketing were to find out how values influence general environmental behaviour. In order to achieve our objectives, we conducted a questionnaire survey with a representative sample of 501 respondents in 2011 in Hungary. Security proved to be the most important, extremely important value, which supports pro-environmental behaviour. Excitement, followed by being well respected and fun and enjoyment in life, all of which are negatively correlated by proenvironmental behaviour, are the least important values in Hungary. Additionally, we found that more than the half of the Hungarian population usually lived green. However, only weak correlations were found between environmentally conscious behaviour and value items. Since the direct influence of values on GEB is only weak, more variables (e.g. attitudes) are needed when modelling someone's pro-environmental behaviour.
In our days research and development (R&D) increases in importance in all sectors of the economy. Recognizing the decisive role in boosting economic competitiveness and productivity of R&D, in March 2002 the European Council decided on increasing R&D expenditure to 3% of GDP in order to bridge the gap between the EU and its major competitors like the United States and Japan. By passing a law on R&D and innovation, and introducing a compulsory innovation contribution for companies, Hungary has taken important steps towards this objective. Yet, having reached halftime, the proposed goal seems extremely remote. In this study I will investigate the composition and evolution from the regime change to our days of the Hungarian R&D potential, including the number of research units, research intensity and R&D expenditure as a percentage of GDP. By means of time-series analysis models I will reveal the Hungarian R&D trends of the past 15 years and also predict the feasibility of achieving the EU objective. Towards the end of my study I will investigate the evolution and composition of "down-to-earth" results of the Hungarian R&D activity and suggest index numbers for comparison and to measure the results.
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