The present study investigates the price transmission mechanism between producer and consumer prices in the Greek fresh tomato market, using monthly price data from January 1995 to May 2011. The estimation is carried out by applying a Markov Switching Vector Error Correction model. The results...

We present a Bayesian structural Vector Autoregressive model of the global wheat market to examine the relative importance of supply and demand shocks, which are interpreted as the fundamental driving forces of wheat price. To our knowledge, this is the first SVAR analysis that jointly considers...

By employing a panel vector autoregressive approach, we show that containership trade is an important determinant ofGDP growth. Using the full sample of sea-transported container boxes of 135 countries for ten years, we provideevidence that the amount of TEUs transported, both contemporaneously...

How the price of food is determined has become a critical issue, given the drastic surges in prices in recent years and the prevailing expectation of further increases. Along this line, this paper examines the sources of food price fluctuations in 11 developing Asian countries. The working model...

The Israeli-Palestinian conflict constitutes a prominent example of a long-lasting political conflict which has major consequences for the livelihoods of the people on both sides. The agricultural sectors of the Palestinian and Israeli economies are tightly connected. However, various security...

This is the first paper that econometrically estimates the impact of rising Bioenergy production on global CO2 emissions. We apply a structural vector autoregression (SVAR) approach to time series from 1961 to 2009 with annual observation for the world biofuel production and global CO2...

This is the first paper that econometrically estimates the impact of rising Bioenergy production on global CO2 emissions. We apply a structural vector autoregression (SVAR) approach to time series from 1961 to 2009 with annual observation for the world biofuel production and global CO2...

This study investigates the disconnect between falling agricultural commodity prices and persistent food inflation by applying a Heterogeneous Vector Autoregression (VAR) model to a panel of 203 countries using data from 1961 to 2022. It analyzes the impact of global crops, fertilizer, and oil...

It has already been literarily proven that the past shows a statistical correlation between crude oil prices and certain industries that are influenced by its volatility. In this context, the Russian war in particular leads to reassessable reactions of these industries. In this paper, we...

In this paper we challenge the view that the oil price has lost its influence on economic activity after the mid-1980s. While we concede that typical VAR models put forward in the literature fail to identify oil price shocks that significantly affect aggregate production, we obtain clearly...