Alcohol misuse has been a persistent challenge in Hungary, and the COVID 19 pandemic intensified the complexities of how people respond to collective stress. This study offers several new insights into the problem. First, drawing on a nationally representative survey of Hungarian adults, we move beyond broad patterns to pinpoint which demographic and social factors most influenced alcohol consumption during the pandemic. The analysis shows that increased drinking was more common among older adults and women, and among those experiencing financial hardship, while caregiving responsibilities (children under 14 in the household) were associated with a greater likelihood of increase rather than protection. Second, this research deepens understanding by applying Schwartz’s Theory of Basic Human Values in combination with a Heckman selection model. This approach distinguishes not only who drinks, but also how intrinsic values shape drinking behaviour under stress. Disaggregating the ten basic values reveals that Power (status/dominance) was a robust predictor of increased alcohol use across models; Achievement (competence/goal attainment) showed a modest protective tendency; and Hedonism, net of thrill seeking and status, was negatively associated with escalation. In contrast, social focus values (e.g., benevolence, universalism, tradition) did not consistently predict change once other values and covariates were considered....

The aim of this study is to estimate the influence of climate factors on the technical efficiency of Hungarian arable farms. The technical efficiency of farms is affected by several factors such as the technology used, the relative factor abundance, the institutional reforms with the input and output market environment, the farm size and scale economies, the organisation and management, and the farm’s specialisation. We employed a two-step approach to identify the impact of climate change on the efficiency of these farms. In the first step, using the Data Envelopment Analysis model, we calculated the efficiency (dependent variable in the second stage of analysis) of these processes. In the second step, we investigated the effect of climate and soil factors (independent variables) on efficiency by applying the Simar and Wilson (2007) approach. In this way we can assess the impacts of matched environmental variables through a robust, representative dataset for Hungary. Our results show that temperature and precipitation increases had statistically significant, positive effects on the technical efficiency of farms in the seeding and vegetative periods in both the constant and variable returns to scale models, and temperature increase during the generative phase of crop production had a negative effect...

Hungarian cereal production is situated in the zone of Europe which is most vulnerable to the effects of changes in climatic conditions. The objectives of this paper are to present the calibration and validation of the 4M crop simulation model using farm-level observed representative values, and to estimate the potential yields of winter wheat and maize production for the next three decades. Analysing the differences between the estimated and observed yields, we identified as key influencing factors the heterogeneity of technologies and of land quality. A trend of slightly decreasing yields is projected for the next three decades for both cereals. The precise impact of environmental change on crop yields will depend on which climate scenario occurs.

This paper examines the effects of territorial differentiation of damage to wheat, maize, barley, sunflower and rapeseed production caused by drought and heavy rain. Our study evaluated the differences between LAU1 micro-regions in Hungary in the effects of the weather on agricultural production and found that there are extremely high differences in the probabilities of damage occurring. Therefore the design of agricultural insurance products should be based on different absolute deductibles and different insurance premiums for micro-regions. Furthermore, we found that within a micro-region individual producers face a very high diversity of risks which implies that in the long term only a bonus-malus system developed for individual agricultural producers can mitigate different risks, and that this can be the basis of a well performing risk management system that is suitable for a wide risk community.

This paper takes a new empirical look at the long-standing question of the effect of exchange rate volatility on international trade flows of transition economies in Central Europe by studying the case of Hungarian agricultural exports to their export destination countries between 1999 and 2008. Based on a gravity model that controls for other factors likely to determine bilateral trade, the results show that nominal exchange rate volatility has had a significant positive effect on agricultural trade over this period. This positive effect of exchange rate volatility on agricultural exports suggests that agri-food entrepreneurs are not interested in speeding up the process of joining Hungary to the euro zone.