• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.123-129
• /
• 2020

This scholarly work is an effort to capture the effects of oil prices on the actual exchange rate between dollar and rupee. This is done with reference to the U.S. dollar as oil prices are marked in USD (U.S. Dollar) in the international market, and India is among the top five importers of oil. Using monthly data from January 2001 to May 2020. The study used the real GDP, money supply, short-term interest rate difference between two countries, and inflation apart from the crude oil prices per barrel as the factors that help define the exchange rate. The analysis, through cointegration and vector error correction method (VECM), suggests long and short-run causality amid prices of oil and the rate of exchange fluctuations. Oil prices are found to be negatively related to the exchange rate in the long term but positively related in the short term. The result of the Wald test also indicates the short-run causation from the short-term interest rate and the prices of crude oil towards the exchange rate. The present study shows that oil prices are evidence of the existence of short-term and long-term driving associations with short-term interest rates and exchange rates.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.911-921
• /
• 2021

Indonesian oil palm plantation industry has chance to increase a sustainable competitive advantage. The creation of a sustainable competitive advantage is determined by the ability of the palm oil industry to utilize limited resources and capabilities. The purpose of this study was to analyze the determinants of the creation of sustainable competitive advantage (SCA) in the palm oil industry in Riau, Indonesia. The model framework uses organizational-level SCA dimensions. Four dimensions are used to measure SCA in the palm oil industry in Riau, namely value, scarce resource, inability to replicate, irreplaceable. Questionnaires were distributed to oil palm industry players in Riau with 81 respondents. The analysis technique uses Structural Equation Model with Partial Least Square (SEM-PLS). The results showed that the SCA in the palm oil industry in Riau was at a moderate level. Although the competitive advantage of being sustainable in the palm oil industry in Riau is in the medium category, test results on SCA dimensions found that each latent variable forms a significant SCA framework with a reflective constructive relationship model. The three dominant and recommended dimensions that shape the construction of SCA in the palm oil industry are value, scarce resource, and irreplaceable.

• Information Systems Review
• /
• v.3 no.2
• /
• pp.337-347
• /
• 2001

• The Journal of Fisheries Business Administration
• /
• v.43 no.1
• /
• pp.49-61
• /
• 2012

The tax exemption oil for fishery is expecting that the use of oil is gradually decreasing according to the environmental change such as reductions of vessel force caused by an upswing of oil prices and reduction of fishing vessels in the recent. Such reductions in the tax exemption oil amount have a negative effect on the tax exemption oil business and the fishery infrastructure. This paper studied to provide the basic data for a stable supply thorough the facts affected in the use of the tax exemption oil and the prediction for the use of the tax exemption oil in future. This analysis drew a estimation method by Cochrane-Orcutt repeated proceeding model with an object main factors such as a price of tax exemption oil and vessel force and international oil prices and exchange rates. And this analysis also drew the use of a tax exemption oil by 2000 after set up the scenario using an estimation method drawn. For the use of the estimated tax exemption oil analyzed to decrease within about 81 percent of the present(2020), It should be considering a stability plan for tax exemption oil for fishery in future.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.4 no.4
• /
• pp.21-23
• /
• 2016

There are so much oil and gas reserves in Iran. Therefore extraction from these reserves and sell extracted oil and gas in international markets causes to high oil income for Iran. Especially in some years which oil price increases, our oil income was too high. In this paper, we want to reveal that, high oil income is not cause to rise of nonoil export. For this aim, we use from data of 1971-2013 and with Johansen co-integration test and Error Correction Model (ECM) extract short run and long run relations. Results of estimation reveal that in Iran high oil income is not cause to many non oil exports in long run and short run. Therefore, we should allocate oil income to import industrial machines and reallocate them to agriculture and industrial sectors which causes to raise national production which will cause to high non oil export. Then, in this condition, our needy exchanges are provided from non oil export and our dependence to oil income will be declined.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.987-996
• /
• 2021

The development of Internet technology can affect firm value through the use of social media by business people. Nowadays, social media affect businesses of all sizes in several different ways. Despite the various benefits obtained by using social media, research at the organizational level and its impact on business performance have not grown as fast as desired. This research aims to examine the effect of social media on oil and gas firms' value. The research sample consists of 9 oil and gas firms listed on the Indonesian Stock Exchange 2013-2018. Social media proxies are firms' social media, other social media mentions, and social media sentiment. Firm value is measured by the market value to assets ratio. Data analysis uses a random-effect regression test. Based on the analysis, the social media account of a firm has a positive effect on firm value. It indicates that social media give advantages for oil and gas firms to give a signal of business prospect, make use of opportunities related to industry alliances, recruit employees globally, and c. On the other hand, the positive sentiment on social media has no effect on oil and gas firms' value.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.9
• /
• pp.201-208
• /
• 2020

Terms of trade is an important indicator of the welfare gains from international trade to the exporting country. Terms of trade of oil-exporting countries are hypothesized to depend primarily on oil prices. The study assesses the relation between oil prices and the terms of trade of Saudi Arabia. The study uses the Autoregressive Distributed Lag method to determine the cointegration between the country's terms of trade and oil prices for the period 2000-2018. The data for net barter terms of trade is taken from World Development Indicators and oil price is taken from Saudi Arabian Monetary Agency. The results show that oil prices and terms of trade are cointegrated and any disequilibrium between the two variables is corrected by 35% in a year. The study also reports a positive relationship between the two items, both in the short run and long run. Diagnostic tests indicate the model to be fit. The results suggest that, for a primarily oil-producing country like Saudi Arabia, the terms of trade depend on oil prices. The study fills the gap in the literature on the study of terms of trade for Saudi Arabia for the last few years, where there has been a high volatility in oil prices.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.295-303
• /
• 2021

The aim of this study is to analyze the effects of oil prices on economic growth and exchange rate in Saudi Arabia during the period 1980-2020. For this purpose, the linear and nonlinear ARDL models are estimated. The linear ARDL model shows that the oil price and economic growth are cointegrated. Moreover, the two variables have a significant positive association in the long run. However, the oil price has no significant impact on the exchange rate. When estimating the nonlinear ARDL model, it has been shown that oil price is only cointegrated with economic growth but not with the exchange rate. The estimation of nonlinear effects using the nonlinear ARDL model shows that economic growth is affected by both positive and negative oil shocks in the long run. However, the impact of positive shocks is higher than those of negative shocks. Moreover, results show that the short-run effects of positive and negative oil shocks are not statistically significant. Regarding the exchange rate, our results show that the effects of positive and negative oil shocks are not statistically significant. Consequently, this study concludes that the oil price has an asymmetric effect on economic growth in Saudi Arabia, but not on the exchange rate.

• Environmental and Resource Economics Review
• /
• v.29 no.2
• /
• pp.171-194
• /
• 2020

We revisit the impact of oil shocks on the Korean economy and examine how this impact varies depending on a business cycle. First, we estimate the probability of a recession through a logistic probability distribution, and correct the probability to match business cycles announced by the Korea National Statistical Office. We set up a STVAR model to analyze the response of macroeconomic variables to oil shocks according to business cycles. We find that oil shocks during the recession have a negative effect on GDP in the mid- and long-term, but during the expansion, GDP does not show a statistically significant response to oil shocks. We presume that this finding is associated with the factors of both the increase in demand for consumption and the increase in current account during the economic boom. Also, we find that the impact of oil shocks on the price level was also observed differently in terms of the persistence of inflation by business cycle. These results highlight the importance of an application of a regime switching model, which has been widely used in energy economics in recent years.

• The Journal of Fisheries Business Administration
• /
• v.42 no.3
• /
• pp.63-78
• /
• 2011

This study looked into conflicts of government policies for oil spill sites which are focusing on Taean-gun after the oil spill in Taean-gun and examined the effects on the conflicts. There are lots of conflicts on the on-going restoration project of fishing ground environment(fishing ground inspection, restoration program development, improvement in fishery biology ecosystem and fishery productivity). For example, these show diverse conflicts between business associates, project processes, business subjects, project participation, and the use of fishing ground. This study found out the first reason of dissatisfaction and conflicts is that there is a difference between groups in terms of political aims and perception. Secondly, lack of communication and cooperation between the center and the provinces, organizations in the provinces, the local government and fishing village cooperatives, fishermen in the fishing industry. Thirdly, the local government and the fishing village head don't show their leadership to improve project performance.