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This study investigates the factors affecting coffee exports in Cameroon. For this purpose, we employed the gravity model. Considering the sample characteristics, the model is estimated with the Poisson pseudo-maximum likelihood (PPML) method. The main material of the study is a panel data set covering the years 2001-2021 for ten countries, Cameroon’s main coffee export partners. The findings show that the GDP of importing countries, coffee export prices, and bilateral investment treaties (BITs) positively influence exports, whereas distance, exchange rates, and Cameroon’s GDP have negative impacts. The results highlight Cameroon’s logistics infrastructure deficiencies and the significance of stable, high-quality production. The Cameroonian government should implement policies to improve production quality and efficiency by expanding agricultural extension services and offering farmers input and investment incentives to address these challenges. Additionally, improving port efficiency will necessitate the digitalization of operations, implementation of data-driven planning, and strategic infrastructure investments.

 

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According to exchange rate pass-through models, exchange rate has a great impact on the competitiveness of exports and determining the effects of exchange rate on export prices can be useful in planning for export promotion. For this purpose, in this paper it has been attempted in the theoretical framework of exchange rate pass- through models and applying ARDL approach the effects of exchange rate on non- oil exports price of Iran during 1971 to 2007 has been tested empirically. The findings show that there is a significant positive relationship between exchange rate and export price index so that by increasing exchange rate (devaluation of national currency) export price index increases significantly. Exchange rate pass- through to export prices is complete and to import prices in terms of destination currency is zero. In other words, the empirical results of this study indicate that in the Iranian economy, exporters are faced with devaluation of national currency (increase in exchange rate), which increases export prices in terms of domestic currency. Thus, the exchange rate changes have not significant effects on export prices in terms of destination currency and just affect the profits of exporters.

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In Iran, after exchange rate jumps, the issue of export prices, and especially its impact on economic growth, has become more important. Some experts argue that as the exchange rate rises, more domestic currency is bought with regard to each foreign currency; thus, domestic goods become cheaper than foreign goods and real exports increase. On the opposite side, some believe that the increase in the exchange rate has no meaningful effect on the increase in exports due to the weakness of the export development infrastructure. Therefore, the purpose of this study is to investigate the effect of export price on Iran's economic growth using Structural Vector Auto-regression (SVAR) and Directed Acyclic Graphs (DAGs) during 1979-2017. The results of the study indicate that export price has a positive effect on the economic growth. Economic growth also reduces export prices. But due to the fact that exports and economic growth of the country are highly dependent on imports, especially on import prices; it is not possible to increase production and exports by increasing the exchange rate, especially as the positive effect of rising export prices on economic growth is relatively low.