• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.606-625
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• 2006

This Study is to show the impact of IT capital stock accumulation on the total factor productivity in 9 industries during 1980 through 2000. We construct the If capital stock using input and output table provided by Bank of Korea (2000). Using sequence testing methodologies, we investigate the nonstationary characteristics of the relevant data and test the cointegration relationship between total factor productivity and IT capital stock. Over the past two decades, IT capital stock contributed between 0.19 to 0.07 percentage point per IT capital stock on total factor productivity. Our empirical results, therefore, do not support Solow's IT paradox in using the long period panel data case in Korea.

• Asian Journal of Business Environment
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• v.10 no.4
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• pp.21-27
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• 2020

Purpose: The present study examines the effects of tourism on carbon dioxide emissions for selected South Asian economies over the time from 1995 to 2016. Research design, data and methodology: The present study is an annual time series analysis of tourism and CO2 emissions. The data is taken from World Development Indicators, an official data bank of World Bank. The study sample covers four South Asian countries, namely Bangladesh, India, Pakistan, Sri Lanka and Nepal. The empirical analysis is conducted by employing Pedroni panel cointegration, Fully Modified OLS, and Dynamic OLS approaches of estimation. Results: Tourism significantly increases environmental degradation in selected South Asian economies. The empirical estimated results indicate, that 1 % increase in tourism related activities leads to 0.16 % increase in CO2 emissions. In addition energy consumption and GDP are also causing an upsurge in CO2 emissions in the selected panel of South Asian economies. As the empirical results indicate that 1% increase in GDP stimulates carbon dioxide emissions by 0.23%. Conclusion: In order to protect the environment, the study emphasizes that sustainable tourism practices need to be promoted in the selected South Asian countries. Policy implication and provided and discussed.

• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3672-3681
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• 2022

This study investigates the environmental footprint impacts of nuclear energy consumption in the presence of environmental technology and globalization of the ten largest ecological footprint countries from 1990 up to 2017. By considering a set of methods that can help solve the issue of cross-sectional dependence, we employ the Lagrange multiplier bootstrap cointegration method, Driscoll-Kraay standard errors for long-run estimation and feasible generalized least squares (FGLS) and panel-corrected standard errors (PCSE) for robustness. The finding revealed significant negative effects of nuclear energy consumption, environmental-related technology, population density and significant positive effects of globalization and economic growth on ecological footprint. These results are also robust by assessing the long-run impacts of predictors on carbon footprint and CO₂ emissions as alternate ecological measures. These conclusions provide the profound significance of nuclear energy consumption for environmentally sustainable development in the top ten ecological footprint countries and serve as an important reference for ecological security for other countries globally.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.109-124
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• 2020

Using panel data on freight rates and ship prices in the dry freighter market from January 2015 to December 2019, this study investigates the characteristics of shipping industry fluctuations. The analysis aims at two aspects of academic contribution. First, this study analyzes the relationship between shipping indicators and ship price based on separate dry-bulk ships, while the previous research considered the overall shipping index and weighted average ship prices. Second, the VAR model for the causality test is extended to a heterogeneous mixed panel model capable of limiting coefficients. There is a peak estimated by removing the cross-correlation problem, which is mainly raised in panel data analysis, using bootstrap estimation and solving the problem of information loss due to differences in non-stationary data. An empirical investigation of the causal relationship between economic fluctuations and ship price shows that the effect on the ship price from the freight is significant at the 1% level. This implies that there is a one-way relationship with demand in the shipping industry rather than a bilateral relationship.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.61-69
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• 2021

The aim of this paper is to empirically investigate whether and how domestic currency valuation is related to firm-level export competitiveness and profitability by using the unique firm-specific dataset on Bangladeshi nonfinancial firms which have been listed continuously from 2010 to 2018. To achieve the aim of this paper, 63 exporting firms are extracted from a total of 125 firms which have been continuously listed during 2010-2018 and used as the final sample firms. The Pedroni cointegration test reveals that export and import prices of the exporting firms are cointegrated in the short-run as well as long-run. The panel dynamic ordinary least square (DOLS) analysis finds that a firm's export competitiveness is maintained by high import inputs even in the presence of depreciation of Bangladeshi currency against the US dollar. Finally, the DuPont analysis finds that the depreciated Bangladeshi currency enhances an exporter's profitability. Conclusions based on the findings are consistent regardless of exchange rate types, such as, real bilateral exchange rate and nominal or real effective exchange rate indexes. Consequently, the firm-level findings of this investigation suggest that undervalution of home currency is essential for Bangaldesh which is one of the frontier markets in South Asia whose exporting firms are mostly price followers in global markets.

• Journal of the Korean Regional Science Association
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• v.36 no.3
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• pp.29-40
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• 2020

The aims of this study to identify the relationship between regional economic growth and intraregional regional disparities. The 16 metropolitan area, the Capital region and the southeastern region of Korea were put in the spatial scope and the time range from 2005 to 2016. Regional gross domestic product data were used to show regional growth and intraregional disparity. Panel data for each spatial unit were established, panel unit root test and panel cointegration test were conducted to check the stability of the data. The DOLS method was used to identify relationship between regional economic growth and intraregional disparity, and the VECM model and Granger causality test was conducted to verify causality. The result of analysis of 16 metropolitan area units showed that the intraregional disparity increases as regional economic growth progresses. When the regional gross domestic product increased by 1%, the intraregional disparity increased by 1.258%, and there are short-term and long-term causality. Both the Capital region and the southeastern region had a mutual relationship between regional economic growth and intraregional disparity, but the disparity in the Capital region showed an increase and the southeastern region showed a decrease. The results of this study show that the regional disparity is increasing nationwide, but the Capital region and the southeastern region showed different stages of growth.

• Economic and Environmental Geology
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• v.56 no.4
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• pp.447-456
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• 2023

Even after 2000, oil prices rose enough to be comparable to the past, but the impact on economic variables was relatively stable. Therefore, this study tries to empirically examine that the response of the Korean economy to oil prices has changed since the 1998 financial crisis, when there was a structural change in the Korean economy. Through empirical analysis, it was tested that the influence of oil prices and producer prices on consumer prices had changed in the period before and after 1998, and that the influence of producer prices on the value-added ratio by industry sector also changed. This means that the transfer of the increase in production cost to consumer prices has been alleviated, and the impact on added value has also been alleviated. Various studies should be conducted to understand the causes of the empirical results, such as changes in the relationship between producer prices and consumer prices, factors in the industrial sector due to rising oil prices, and changes in products.