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Rianatullah Dede. This research is about Indonesia export coffee aims to analyse on influence and effect of Indonesian coffee bean export under the tittle Market Effect Analysis on Indonesia`s Coffee Bean Export
Coffee produced in Indonesia is a commodity that has enormous potential to compete in foreign markets, especially Europe, America and Asia. This potential can bring in foreign exchange for Indonesia. Based on this, it is necessary to look at how the potential and development of Indonesias coffee export demand to various European, American and Asian countries. Because of the demand for Indonesian coffee exports to various countries in Europe, America and Asiacan be influenced by many factors, then it will also be seen how the influence of factors such as world coffee prices, exchange rates, real GDP, and domestic coffee prices of destination countries on Indonesian coffee exports.
The data used in this study used secondary data in the form of panel data analysis methods, it is a combination of Time Series and Cross Section. Time series data using data is data in 2003-2017. Then the Cross Section data using is data from five Indonesian coffee export destination countries. In this study, data on the volume of coffee exports, data on the real GDP of the destination country, the exchange rate of the rupiah against the destination country of exports, international coffee prices, and domestic coffee prices of destination countries. While the analysis used is econometric analysis using the panel data method. This data processing is using Eviews 9.0 software. This study aims to determine the factors that influence Indonesian coffee exports. The data used in this study are secondary data obtained from several agencies such as the Central Statistics Agency (BPS) Website, Bank of Indonesia (BI), World Bank, Plantation Office, and International Coffee Organization (ICO).
The panel data regression estimation model used in the study is Random Effect Model for the dependent variable volume of Indonesian coffee exports, independent variables they are real GDP, exchange rates, international coffee prices, and domestic coffee prices. Therefore, it can be concluded that real GDP, exchange rates, international coffee prices, and domestic coffee prices are better to explain the volume of Indonesian coffee exports in five destination countries.
Coffee produced in Indonesia is a commodity that has enormous potential to compete in foreign markets, especially Europe, America and Asia. This potential can bring in foreign exchange for Indonesia. Based on this, it is necessary to look at how the potential and development of Indonesias coffee export demand to various European, American and Asian countries. Because of the demand for Indonesian coffee exports to various countries in Europe, America and Asiacan be influenced by many factors, then it will also be seen how the influence of factors such as world coffee prices, exchange rates, real GDP, and domestic coffee prices of destination countries on Indonesian coffee exports.
The data used in this study used secondary data in the form of panel data analysis methods, it is a combination of Time Series and Cross Section. Time series data using data is data in 2003-2017. Then the Cross Section data using is data from five Indonesian coffee export destination countries. In this study, data on the volume of coffee exports, data on the real GDP of the destination country, the exchange rate of the rupiah against the destination country of exports, international coffee prices, and domestic coffee prices of destination countries. While the analysis used is econometric analysis using the panel data method. This data processing is using Eviews 9.0 software. This study aims to determine the factors that influence Indonesian coffee exports. The data used in this study are secondary data obtained from several agencies such as the Central Statistics Agency (BPS) Website, Bank of Indonesia (BI), World Bank, Plantation Office, and International Coffee Organization (ICO).
The panel data regression estimation model used in the study is Random Effect Model for the dependent variable volume of Indonesian coffee exports, independent variables they are real GDP, exchange rates, international coffee prices, and domestic coffee prices. Therefore, it can be concluded that real GDP, exchange rates, international coffee prices, and domestic coffee prices are better to explain the volume of Indonesian coffee exports in five destination countries.