scholarly journals EFFECT OF NUMBER OF COCOA PRODUCTION, WORLD COCOA PRICE, EXCHANGE RATE, AND COCOA EXPORT PRICES ON COCOA EXPORTS IN INDONESIA

2018 ◽  
Vol 1 (2) ◽  
pp. 82-89
Author(s):  
Adrine Gladia Meidrieswida

This study aims to analyze the development of cocoa commodity exports in Indonesia. This study uses time series data from 2002 to 2016 and processed using SPSS. The independent variables in this study are the Total Cocoa Production, World Cocoa Prices, Exchange Rates, and Cocoa Export Prices with the dependent variable namely Indonesian Cocoa Exports. Simultaneous test results show that Cocoa Production Amount, World Cocoa Prices, Exchange Rates, and Cocoa Export Prices simultaneously have a significant effect on Cocoa Exports in Indonesia. While the partial test results indicate that the variable Cocoa Production Amount, World Cocoa Prices, Exchange Rates, and Cocoa Export Prices are partially not significantly influence the Cocoa Export in Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 89-98
Author(s):  
Yulia Sani ◽  
Siti Hodijah ◽  
Rosmeli Rosmeli

This study aims to analyze the development of each variable and its effect on rice imports in Indonesia for the period 1998-2017. This research uses descriptive and quantitative analysis tools. The data used is time-series data or time series. To analyze this research, the "Ordinary Least Square (OLS) method was used. The results showed that the independent variables simultaneously had a significant effect on rice imports in Indonesia. Partially, the domestic rice price variable has a positive and significant effect on rice imports in Indonesia, the exchange rate variable has a negative and significant effect on rice imports in Indonesia and the GDP variable has a negative and significant effect on rice imports in Indonesia. Keywords: Rice imports, Exchange rate, The price of rice


2017 ◽  
Vol 18 (1) ◽  
pp. 30
Author(s):  
Riwi Sumantyo ◽  
Puji Lestari

The study on the effect of fuel subsidies toward oil import is a controversial topicdiscussions. This study will explore the effect of fuel subsidies on oil import by addingseveral independent variables, consist of; the number of vehichles, the exchange rateand inflation. Data use time series data from 1980-2013. The tool of analyze is OrdinaryLeast Squares Method (OLS).Based on the results show that the simultaneous testexplains that the fuel subsidies, the number of vehichles, the exchange rate, and inflationhave a significant effect on oil import. However partially, the variables of fuel subsidies,the number of vehichles, and the exchange rate have a positive and significant effecton oil import. Inflation does not affect on oil import. The coefficient of determinationuses Adjusted R-square test is about 98%. The implication of this study is governmentscan increase oil production Indonesia. The government should facilitate the licensing ofinvestment and rejuvenate the old oil wells. It aims to reduce Indonesia dependence onoil import so that it can save foreign exchange reserves.


2020 ◽  
Vol 8 (3) ◽  
pp. 143-154
Author(s):  
Usman Hardianto ◽  
Siti Hodijah ◽  
Rahma Nurjanah

The purpose of the study was to determine and analyze the development of production, exchange rates, CPO prices, Malaysian GDP, and Jambi Province CPO exports to Malaysia and the effect of production, exchange rates, CPO prices, Malaysian GDP on Jambi Province CPO exports to Malaysia. The data used in this study is secondary data in the form of time series data for 2000-2017. The results show that the average development of Jambi Province CPO exports to Malaysia is 4.10% per year, Jambi Province CPO production is on average 4, 10% per year, the average exchange rate is 2.64% per year, the average CPO price is 8.63% per year, and Malaysia's GDP is 4.89% per year on average. Based on the results of multiple linear analyses, it can be concluded that CPO production, CPO prices, exchange rates, and Malaysian GDP together affect the volume of Jambi Province's CPO exports to Malaysia. While partially production and GDP have a negative and insignificant effect on Jambi Province's CPO exports to Malaysia, the exchange rate and CPO prices positively and significantly impact Jambi Province's CPO exports to Malaysia. Keywords: Production, Price, Exchange rates, Gross Domestic Product


Author(s):  
Pawana Nur Indah ◽  

Farmer's Exchange Rate (NTP) is a proxy indicator or indicator of the approach to the level of farmer welfare. The welfare of farmers can describe the purchasing power of farmers. The purpose of this study was to determine the level of welfare of cocoa farmers. This study used time series data from NTP with the base year of 2012 = 100 as the basis for calculating the years 2019 - 2020. The location of the study was determined by the purposive sampling method in The Blitar Regency which is the center of Cocoa. The sample was selected by purposive random sampling as many as 60 Cocoa Farmers. The NTP analysis method was carried out descriptively. The results showed that the exchange rate of Cocoa Farmers in 2020 increased by 1.20 percent from 100.54 in 2019 to 101.75 in 2019. This indicates that cocoa farmers in The Blitar district are experiencing a surplus or prosperity.


2017 ◽  
Vol 12 (1) ◽  
pp. 1-10
Author(s):  
Rexsi Nopriyandi ◽  
Haryadi Haryadi

This study aims to analyze the factors that influence Indonesian coffee exports. The data in this study is time series data, which were obtained from various government agencies. The Error Correction Model (ECM) method is used to analyze the effect of coffee prices, GDP and the exchange rate on the volume of Indonesian coffee exports. The estimation results find that coffee prices, Indonesian GDP and exchange rates have a short-term relationship and a long-term balance of the volume of coffee exports. Based on the long-term estimation of the coffee price variable, GDP and exchange rates do not significantly affect the volume of coffee exports, while in the short term these three variables influence the volume of coffee exports


2017 ◽  
Vol 12 (1) ◽  
pp. 25-30
Author(s):  
Pundy Sayoga ◽  
Syamsurijal Tan

This study aims to analyze the factors that influence Indonesian coffee exports. The data in this study is time series data, which were obtained from various government agencies. The Error Correction Model (ECM) method is used to analyze the effect of coffee prices, GDP and the exchange rate on the volume of Indonesian coffee exports. The estimation results find that coffee prices, Indonesian GDP and exchange rates have a short-term relationship and a long-term balance of the volume of coffee exports. Based on the long-term estimation of the coffee price variable, GDP and exchange rates do not significantly affect the volume of coffee exports, while in the short term these three variables influence the volume of coffee exports.


2020 ◽  
Vol 1 (1) ◽  
pp. 53-68
Author(s):  
Zakaria Batubara ◽  
Eko Nopiandi

This research aims to determine the effect of inflation, exchange rates, and the BI Rate on mudharabah savings in Islamic banking in Indonesia partially and simultaneously. This research is a quantitative study with time-series data. The data used in this study are secondary data. The population in this study is inflation data, the rupiah exchange rate, and the BI Rate and mudharabah savings. The population of Islamic banks in this study totalled 34 Islamic banks. The data analysis technique used in this study is the multiple regression analysis. Partially, inflation, exchange rates or the rupiah exchange rate and the BI Rate have a positive effect on mudharabah savings in Islamic banking in Indonesia. Simultaneously the inflation variable, the exchange rate or the rupiah exchange rate and the BI Rate have a significant effect on mudharabah savings in Islamic banking in Indonesia with an influence of 88.6%.


Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.


2019 ◽  
Vol 11 (2) ◽  
pp. 183-201
Author(s):  
Yona Namira ◽  
Iskandar Andi Nuhung ◽  
Mudatsir Najamuddin

This study aims to 1) identify factors that affect the import of rice in Indonesia 2) analyze the influence of these factors on imports of rice in Indonesia. The data used in this research are time series data from 1994 to 2013 from the Central Statistics Agency (BPS), the Ministry of Agriculture, Ministry of Commerce, National Logistics Agency (Bulog), and Bank Indonesia. Multiple linear regression through SPSS software version 21 was employed to analyze the data. The test results together indicated the variables of productions, consumptions, stocks of rice, domestic rice prices, international rice prices and the rupiah against the US dollar affect the imports of rice in Indonesia.


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