Tag: gravity model

This paper aims to investigate the factors influencing the international beef market’s trade flows by applying the gravity model. We focus on the effects of trade networks, non-tariff measures, and natural disasters on the beef trade. This is the first study to incorporate network analysis eigenvector scores into the gravity approach with a view to examining the impact of trade network improvements on trade. Eigenvector centrality scores reveal the prominent role played by the European and Southern Common Market countries and show a well-connected beef network. The results of our gravity model show that beef trade increases more when an importer improves its position in the trade network, shedding light on the importance of strategic network engagement. We also show that Sanitary and Phytosanitary measures are more trade-restrictive than tariffs, a finding which emphasises the need for trade policy to pay attention to such measures. Meteorological (hydrological) catastrophes hurt beef imports (exports); this highlights the importance of implementing safeguarding measures on beef farms.

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.