Köse, NezirÜnal, Emre2023-03-142023-03-1420221590-1874https://doi.org/10.1007/s10668-022-02817-2The impacts on food prices of temperature, the oil price, the exchange rate and wages in the agricultural industry were examined via a structural vector autoregression model and panel Granger causality test, using monthly data between January 2003 and December 2020 for Latin American countries. The paper concerns how much the determinants afect food prices. Empirical fndings show that the oil price and temperature can be signifcant factors for reducing food infation. According to the result of variance decomposition, in general, a considerable part of food infation was explained by the exchange rate, but its efect did not show any signifcant change in the long term. The impacts of the oil price and temperature were limited in the early months, but they created larger changes over time. Impulse response function and the Granger causality test also indicated that exchange rate was a crucial dynamic in explaining food infation in all countries except Ecuador. This country successfully mitigated the negative efect of the exchange rate, but the oil price and temperature had an impact on food infation. All results indicate that both mon etary and fscal policies are essential to control food prices. These countries can accom plish this by conventional policies or by radical institutional changes. Nevertheless, the oil price and temperature are external dynamics, and crucial in creating alternative policies to control food infation.enFood pricesOil priceTemperatureStructural VARArticle10.1007/s10668-022-02817-22-s2.0-8514488970036589209Q1WOS:000904028200002Q2