<em>Palm oil is Indonesia's main export commodity. The EU is Indonesia's largest palm oil importer second after India, so it can affect the condition of Indonesia's palm oil exports. In 2009 the EU issued a Renewable Energy Directive that may have an impact on Indonesia's palm oil exports. The purpose of this study was to analyze the competitive position of Indonesian palm oil using the Revealed Comparative Advantage (RCA) and the Export Product Dynamics (EPD) as well as analyze the impact of policies Renewable Energy Directive towards the export value of Indonesian palm oil using gravity models. RCA analysis results indicate that the Indonesian palm oil has a comparative advantage (RCA> 1). Analysis of Indonesian palm oil EPD average is in position "Rising Star". The results of the analysis of gravity models show a real GDP per capita in the country of destination, the population of the country of destination, the export price of palm oil, and the Renewable Energy Directive policies significantly affect the value of exports of palm oil, while Indonesia and the real exchange rate had no significant effect within the economy.</em>
Information and Communication Technology (ICT) plays an important role in supporting economic growth and overcoming income inequality. ICT infrastructure functions to facilitate the use of ICT by economic actors through ICT devices. Previous research used more data between countries or between districts/cities while Indonesia consisted of provinces with different social and economic characteristics. Therefore, the purpose of this study is to analyze the impact of ICT infrastructure on economic growth and income inequality in Indonesia using provincial panel data for the period 2011-2016. The results of the analysis of simultaneous equation models using the Two Stages Least Square (TSLS) method state that ICT infrastructure indicators consisting of cellular telephone ownership, internet accessibility, and the number of Base Transceiver Station (BTS) significantly has a positive impact on economic growth. In addition, these ICT infrastructure variables indirectly have an impact on income inequality through economic growth. Other results obtained are that government spending on ICTs do not significantly impact economic growth and income inequality in Indonesia. The conclusion is that ICT infrastructure has a direct impact on economic growth and an indirect impact on income inequality.
The value of natural rubber exports is declining continuously every year. One of the reasons for the decline in the value of natural rubber exports is due to the implementation of Non-Tariff Measures (NTMs) by the main export destination countries in international trade. The most widely applied NTMs policies in trading countries are Sanitary and Phytosanitary (SPS) and Technical Barrier to Trade (TBT). This study aims to analyze the impact of NTMs on Indonesia's natural rubber exports from 2012 to 2016. The estimation result shows the GDP coverage ratio of SPS and coverage ratio of TBT significantly affect the export value of the natural rubber of Indonesia. SPS variable shows a negative coefficient value while the TBT variable shows a positive coefficient value. Keywords: Natural Rubber, Gravity Model, Inventory Approach, NTMsJEL Classification: F13, F14, Q17
The purpose of this study is to estimate the efficiency level of Islamic insurance companies in Indonesia. The data used are taken from each financial report of 14 Islamic life insurance companies and 12 Islamic general insurance in the period 2013-2015. Efficiency score estimation is done by using Data Envelopment Analysis (DEA) method. There are three input variables, namely asset, load, claim payment and two output variables, namely income and tabarru' funds obtained. The results show that islamic life insurance and islamic general insurance companies in Indonesia have not been operating efficiently.
The aim of this study is to measure the efficiency of Islamic Bank in Indonesia and to analyze the factors that affect the level of efficiency. The objects of this study are ten Islamic Bank (BUS) in Indonesia which analyzes from the second quarter of 2012 until the first quarter of 2016. There are three method which are used in this study, two in first stage, namely non parametric method of Data Envelopment Analysis (DEA) and parametric method of Stochastic Frontier Approach (SFA) then the second stage is Tobit estimaton. Overall, the results showed that the efficiency level of Islamic banks in Indonesia during the time period in this study have not reached the optimum level of efficiency yet. Tobit estimation showed that total financing, total wadiah funds, CAR, ROE, total overhead cost significantly affect the Islamic bank`s efficiency in Indonesia.
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