Studies.hu
Studies.hu
Studies.hu

MOLNAR, Zsuzsa

Temporary Shifts in Agricultural Export Logistics: The Case of Hungarian Maize Imports During the Russia-Ukraine Conflict

This paper examines the impact of the Russia-Ukraine armed conflict on agricultural trade, focusing specifically on the surge in maize exports from Ukraine to Hungary during the marketing year 2022/23. The conflict has significantly disrupted maritime trade routes, particularly affecting export logistics of Ukraine. The study analyses shifts in trade patterns and market dynamics associated with these disruptions, emphasising that these changes appear temporary and do not pose a continuous threat to grain markets of EU member states neighbouring Ukraine. The findings underscore the importance of safe and adaptive logistics in maintaining market stability amidst geopolitical tensions.

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Embeddedness of Hungarian pig prices in the European pork market: a volatility spillover and partial wavelet coherence study

Compared to most of the agricultural commodity markets in the European Union (EU), the pig market is less regulated and EU pig prices can be regarded as free market prices. It is thus an ideal economic research opportunity to investigate agricultural market integration and spatial price transmission mechanisms in the EU in the different Member States (MS). Depending on the geographical location, the decoupling of production costs from prices paid to pig farmers can jeopardise the fragile market balance between producers and processors. To retrospectively identify price setting trends, this paper examines how price return trends in the Hungarian pig sector are reflected in dynamic Diebold–Yilmaz spillover indices between 2007 and 2021. The results show that Hungary was mostly a net spillover receiver throughout the investigated period. Pairwise comparison of price spillovers to and from other MSs indicated that the German pig market had the strongest effect on the price forecast error variance in the Hungarian market, but transient interaction with other MS markets was also detected. To obtain a detailed time domain representation of the multivariate relationship between different MS’s price returns, our method considers an improved partial wavelet coherence (pwc) approach, which – to our knowledge – has...

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