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By : Nanda UlzannaAdvisor : Dr. Evi Susanti Tasri SE. M.Si Kasman Karimi SE. M.Si SUMMARY Soybean is one of the primary commodities that are widely needed as inputs to produce secondary commodities, such as; soy milk, tempeh, tofu, soy flour and others. In connection with this, soybeans have a very important role in the economy in Indonesia. The availability of soybean in the input market, lately is very likely to experience problems because of insufficient availability for the needs of the community.Currently, Indonesia is the sixth largest producer of soybeans in the world after the United States, Brazil, Argentina, China and India. However, domestic soybean production has not been able to meet the growing domestic demand from time to time well beyond the increase in domestic production. To be sufficient, the government imports. With the problem of soybean raw materials, the Government of Indonesia needs to protect the soybean farmers by one of the ways is the tariff policy which is the mechanism of market protection from the threat of import of cheap soybean import.The method used in this research is multiple linear regression analysis that aims to see the influence and relationship between dependent variable with independent variable. The data used are secondary data from 1990-2015.The result of analysis shows that gross domestic product is positive and significant to the value of soybean import in Indonesia. The result of the analysis shows that the exchange rate is positive and not significant to the value of soybean import in Indonesia. The result of the analysis shows that international price is negatively and insignificant to the value of soybean import in Indonesia. The result of the analysis shows that soybean production has positive and significant effect to the value of soybean import in Indonesia. Keywords: Import Value of Soybean in Indonesia, Gross Domestic Product, Exchange Rate, International Price, Soybean Production in Indonesia.

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.

Petroleum as a raw material in the production process of goods and services is a vital factor in supporting production activities in Indonesia. However, many variables that affect the oil change both the value and volume. This study aims to determine the effect of Foreign Exchange Reserves, Total Vehicle and Fuel Subsidy on Petroleum Imports value. The data used in this research is a secondary data sourced from the Central Statistics Agency (BPS), and the Indonesian National Police. Based on the results of the simultaneous study of foreign exchange reserves variable number of vehicles and fuel subsidies have a significant effect on oil imports which described the period 2001-2010. Partially negative impact of foreign exchange reserves / no significant effect on oil imports while the number of vehicles and fuel subsidy partially positive and significant impact on petroleum imports 2001-2010 period. Factors that affect the dominant variable is imported petroleum fuel subsidies.

The outcome of Regional Free Trade Area (R-FTA) still remains a conundrum. Regional free trade area (R-FTA) is one of the manifestations of the economy integration phenomenon. R-FTA brings many pros and cons to the economists. It allows better allocation of resources especially by eliminating tariffs, thus making people have higher purchasing power for goods. While the increase of purchasing power is good for growth engine and poverty alleviation progress, this paper proves that there is potency for the agreement to be detrimental in the long run. The main focus in this paper is the potential impact of ACFTA to the saving rate as the shock buffer for the poor in time of recessions and crises, where purchasing power decreases significantly. We view the ACFTA impact through the series of net import, defined as the difference between imports from export. We use Dynamic Panel Data (DPD) to estimate the impact of net import to the saving rate, assuming that there is a dynamic relationship between saving rate and its lagged value. The estimation result proves that there is a negative relationship between import and the saving per capita, which indicates the consumptive behavior of ASEAN people under high import. Moreover, the dynamic relationship shows that saving per capita is not persistent, meaning that the saving rate will be decreased gradually. Therefore, we can expect that in the long rung, the savings will be depleted into nothing if we keep letting the import flooded domestic market without imposing any pre-emptive and reactive policies. This paper provides a set of historical estimation of the potential impact of ACFTA on saving rate and its policy implication to endure the impact.

Sugar industry in Indonesia has been experiencing rapid growth in local consumption, a decrease in domestic production, an increasingly growing import dependency, and a rise in the cost of energy use. This study explores the efficiency of energy use in the Indonesian sugar industry from 2010 to 2014 by applying the input distance function based on the trans-log model to all sugar mills across the country. The results revealed that substantial differences in energy efficiency exist across the provinces. The average energy efficiency is nearly 0.68, with the most efficient regions reaching nearly 0.77 and the lowest ones scoring about 0.62. The sugar mills in the provinces of Gorontalo, Banten, South Sulawesi, and East Java are more efficient than those of other provinces. The energy efficiency function suggested that increasing production volume can help to achieve more efficient energy use. Additionally, as labor and capital are substitute inputs, improvements in capital investment (technological upgrade) may yield larger outputs and contribute to more energy-efficient production. Meanwhile, raw materials and capital are complementary inputs, so improvements in energy efficiency via a larger mill size, bigger capital investment, and more efficient sourcing of raw materials can support the national government's production targets sustainably.