• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.165-176
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• 2021

The paper has used the Solow-Swan growth model to analyze the long-term impact of credit market development and stock market development on economic growth in Asia from 2000 to 2019. The empirical model is performed with panel cointegration analysis by Common Correlated Effects (CCE) method with cross-sectional dependencies. The results find that there exists a cointegration relationship among stock market, credit market development, and economic growth. These results also show that financial structure improves the exact impact of financial development on economic growth, namely the opposite effect of stock market development and credit market development. Moreover, the Granger causality test reveals a bi-directional relationship between credit market development and economic growth, while only unidirectional causality from stock market development to economic growth for the whole group panel. And it is different for a specific country, according to Kónya's test. The view of the new structuralism does not apply in the Asian financial system when we estimate the Nonlinear Autoregressive Distributed Lag model (NARDL) to analyze the asymmetric relationship between financial structure and economic growth. On the whole, policymakers can draw on the findings to provide policy implications to improve their country's financial system as well as pursue the goal of sustainable economic growth.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.5
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• pp.868-889
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• 2022

Fashion companies are using a big data approach as a key strategic analysis to predict and forecast sales. This study investigated the effectiveness of the past sales, web search volume, information amount, brand promotion, and the advertising endorser on the sales forecasting model. The study conducted the autoregressive distributed lag (ARDL) time series model using the internal and external social big data of a national fashion brand. Results indicated that the brand's past sales, search volume, promotion, and amount of advertising endorser information amount significantly affected the sales forecast, whereas the brand's advertising endorser search volume and information amount did not significantly influence the sales forecast. Moreover, the brand's promotion had the highest correlation with sales forecasting. This study adds to information-searching behavior theory by measuring consumers' brand involvement. Last, this study provides digital marketers with implications for developing profitable marketing strategies on the basis of consumers' interest in the brand and advertising endorser.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.79-89
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• 2023

The paper aims to investigate the asymmetric long-run and short-run relationships between inflation and remittance outflows in the Kingdom of Saudi Arabia (hereafter KSA) over the period 1971-2019 by using the Nonlinear Autoregressive Distributed Lag (NARDL) model. The statistical tests have supported the validity and stability of the model. The Wald F-test statistics confirm the existence of a long-run equilibrium relationship among the model variables; remittance outflows, positive (negative) shocks in inflation rates, investment, real GDP, and trade openness. Moreover, the empirical results confirm the existence of an asymmetric effect of the inflation rate on remittance outflows. The response of foreign workers to an increase in inflation rates differs from their response to a decrease in inflation rates. However, this asymmetric relationship between the increases/decreases in inflation and remittance outflows is significantly weak. The weakness of this relationship is due to the high marginal remittance propensity of migrant workers, which is explained by the low consumption propensity of foreign workers and their ability to adjust to the high cost of living due to inflation and the imposition of accompanying fees. Finally, the change in the inflation rate is not among the main factors influencing foreign remittance decisions in Saudi Arabia.

• International Area Studies Review
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• v.20 no.2
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• pp.47-62
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• 2016

This paper is to set up the empirical model in order to estimate industrial markup and to analyze the determinants for industrial markup by estimating the factor price elasticities of markup in the Korean manufacturing industries using the autoregressive distributed model. The import price elasticities of markup were estimated to be -1.025, -0.176, and -0.260 respectively in Machinery products, Chemical products, and Metallics which proved to have higher ratios of imported intermediate goods to industrial output. The interest elasticities of markup were also estimated to be -0.165, -0.147, and -0.210 respectively in Chemical products, Metallics, and Machinery products which are capital-intensive industries. Thus, the paper suggests that both import price index and interest rate have had more decisive effects on the changes in industrial markup in the Korean manufacturing industries, in particular, since the foreign currency crisis beginning in late 1997.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.149-156
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• 2021

OTT service, which allows video content to be viewed as a streaming service on the Internet network, has recently attracted a lot of attention, and the number of users is also increasing rapidly. It would be a natural strategy for OTT companies to acquire more content to gain a competitive advantage in relations with traditional media companies and other OTT companies. However, there are research results to show that the investment in facilities by Internet service providers who must transport the increasing Internet traffic from OTT provider to end users should increase as the amount of Internet traffic originated by OTT services also increases. This study empirically analyzed how content investment by Netflix, a leading OTT company, affects its revenue growth and network investment by Internet service providers through a polynomial distributed lag model. And the analysis results show that Netflix's content investment contributes to the company's increase in revenue, and also has an effect on the increase in network investment by Internet service providers. This result confirms that OTT operators' content acquisition strategy is a valid management strategy, and empirically supports the study results that OTT operators need to share the cost of Internet network facility investment.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.755-775
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• 2022

This study empirically analyzes that the asymmetry of domestic gasoline price adjustment to the crude oil price changes can vary depending on the level of gasoline price using quantile autoregressive distributed lag model. The data used are the weekly average Dubai price, domestic gasoline price at refiners and gas stations from the first week of May 2008 to the second week of October 2022. The study estimates three price transmission channels: changes in gas station gasoline prices in response to changes in Dubai oil prices, changes in refiners gasoline prices in response to changes in Dubai oil prices, and changes in gas station prices relative to refiners gasoline prices. As a result, the price adjustment of refiner's gasoline price with respect to Dubai oil price appears asymmetrically across all quantiles of gasoline price, whereas the adjustment of gas station prices for Dubai oil price and refiner's gasoline price tend to be more asymmetric as the quantile of gasoline price increases. Such a result is presumed to be due to changes in the inventory cost of gas stations. When the burden of inventory cost is high, gas stations have an incentive to more actively pass the increased buying price on their selling price.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.289-294
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• 2020

The study of environmental pollution plays an important role in controlling emissions in the production activities of FDI enterprises as well as export goods. Vietnam is a country with a large proportion of FDI contribution and high export value. Therefore, there should be studies to assess the actual effects of FDI and the openness of the economy (trade) on the environment. Therefore, the authors conduct research on the role of FDI and trade on environmental quality in Vietnam. With data collected from 1990 to 2018 (from the period of Vietnam's economy opening up) through the ARDL (Autoregressive Distributed Lag) model, the results show that FDI has a positive impact on CO2 emissions in the short term but has no impact on the long-term (In this study, CO2 is considered to represent environmental quality). The trade has a positive impact on CO2 emissions in both the short term and long term. The results of the study show the actual shortcomings of FDI as well as production activities in the export enterprises in Vietnam. From the results of this research, the author also provides the causes and remedies to control of CO2 emissions from two activities of foreign direct investment and trade.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.533-542
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• 2020

This study estimates the nature of the relationship of entrepreneurship and business confidence on youth unemployment in the Philippines over the 2001-2017 period. The paper employed a range of cointegrating regression models, namely, autoregressive distributed lag (ARDL) bounds testing approach, Johansen-Juselius (JJ) and Engle-Granger (EG) cointegration models, dynamic OLS, fully modified OLS, and canonical cointegrating regression (CCR) estimation techniques. The Granger causality based on error correction model (ECM) was also performed to determine the causal link of entrepreneurship and business confidence on youth unemployment. The ARDL bounds testing approach, Johansen-Juselius (JJ) and Engle-Granger (EG) cointegration models confirmed the existence of long-run equilibrium relationship of entrepreneurship and business confidence on youth unemployment. The long-run coefficients from JJ and dynamic OLS show significant long-run and positive relationship of entrepreneurship and business confidence on youth unemployment. While results of the long-run coefficients from fully modified OLS and canonical cointegrating regression (CCR) found that only entrepreneurship has significant and positive relationship with youth unemployment in the long-run. The Granger causality based on error correction model (ECM) estimates show evidence of long-run causal relationship of entrepreneurship and business confidence on youth unemployment. In the short-run, increases in entrepreneurship and business confidence causes youth unemployment to decrease.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.617-626
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• 2021

The study examines the existence of twin deficit in two emerging economies (Turkey and Iran) and also investigates the relation of twin deficit with specific macroeconomic indicators such as the GDP, money supply, foreign direct investment, and the interest rate both in short and long-run periods. The twin-deficit concept refers to a situation where the current account deficit and budget deficits exist in the same corresponding period of an economy. This study employs the Bound Test Autoregressive lag distributed (ARDL) model on time-series quarterly secondary data of Turkey and Iran from 1992 to 2019. The stationarity of variables has been ensured through the Augmented Dickey-Fuller (ADF) test at the level and the first difference. The results reveal the existence of a twin deficit in both the short and long-run periods only in Iran. Its existence could not be observed in the Turkish economy. The findings suggest a positive relationship between twin deficit and GDP, and a negative relationship between twin deficit and FDI and M2. At the same time, the relationship of the twin deficit with interest rate could not be found in the Iranian economy. The findings may be helpful for economic managers of both countries in executing their economic policies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.37-41
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• 2021

This study aims to investigate the relationship between the exchange rate and Trade Balance. Trade Balance is used as the dependent variable, and the independent variables are Exchange Rate, Gross Domestic Product, and Inflation. Augmented Dickey-Fuller unit root test was adopted to test the stationary property of time series data, Auto Regressive Distributed Lag model was employed to find the long run and short-run relationship and long-run adjustment, Bound test approach, the unrestricted Error Correction Model and Granger Causality Test are used to analyze the data from 1977 to 2019. The research findings suggest that inflation has a positive impact on the trade balance in the short run. The exchange rate and the Gross Domestic Product have adverse effects on Trade balance in the long run. The coefficient of ER in the previous year is negative, and the coefficient of TB in the previous year is positive and significant. This is consistent with the J-Curve phenomenon, which states that devaluation may not improve trade balance in the immediate period, but will significantly impact the trade balance improvement in subsequent periods. Hence Marshall Lerner Condition exists in Sri Lanka.