• 웰빙융합연구
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• 제2권2호
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• pp.19-37
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• 2019

Over the last few decades, the atmospheric carbon dioxide emission has been amplified to a great extent in Turkey. This amplification may cause global warming, climate change and environmental degradation in Turkey. Consequently, ecological condition and human life may suffer in the near future from these indicated threats. Therefore, an attempt was made to test the relationship among a number of expected factors and carbon dioxide emissions in the case of Turkey. The study covers the time series data over the period of 1970-2017. We employed the modern econometric techniques such as Johansen co-integration, ARDL bound testing approach and the block exogeneity. The results of the Johansen co-integration test show that there is a significant long-run relationship between carbon dioxide emissions and expected factors. The long-run elasticities of the ARDL model show that a 1% increase in the GDP per capita, electric consumption, fiscal development and trade openness will increase carbon dioxide emissions by 0.14, 0.52, 0.09 and 0.20% respectively. Further, our findings reveal that the environmental Kuznets curve (EKC) hypothesis and inverted U-shaped relationship between carbon dioxide emission and economic growth prevails. Therefore, the EKC hypothesis is valid and prevailing in the Turkish economy. The diagnostic test results show that the parameters of the ARDL model are credible, sTable and reliable in the current form. Finally, Block exogeneity analysis displays that all the expected factors are contributing significantly to carbon dioxide emissions in the Turkish economy.

• 신재생에너지
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• 제6권3호
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• pp.13-21
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• 2010

This paper analyzes the factors of renewable energy consumption in Korea, China and Japan. We consider renewable energy consumption per capita as dependent variable, GDP per capita, $CO_2$ emissions per capita and real oil prices as independent variables. To analyze this model, this paper uses three econometric methods such as OLS, fixed effect model and panel GLS, utilizing data from 1990 to 2006 in Korea, China and Japan. According to the results by OLS for each country, an increase in GDP per capita or $CO_2$ emissions per capita or oil prices leads to an increase in renewable energy consumption. According to the results by fixed effect model, an increase in GDP per capita or $CO_2$ emissions per capita leads to an increase in renewable energy consumption. And real oil prices do not have a significant impacts on this model. According to the results by panel GLS, an increase in real GDP per capita as a proxy of income leads to an increase renewable energy consumption. And both $CO_2$ emissions per capita and real oil prices do not correlated closely with renewable energy consumption. Thus oil is not substituted to renewable energy in Northeast asian countries.

• 한국산림과학회지
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• 제98권2호
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• pp.148-155
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• 2009

The objective of this study is to know market structures of softwood logs being imported to South Korea from log producing countries. Import demand of softwood logs imported to South Korea from America, New Zealand and Chile is fixed as a function of log prices, the lagged dependent variable and output. On the basis of the adaptive expectations model, linear regression models that the explanatory variables included and the lagged dependent variable were estimated by Seemingly Unrelated Regression Equations (SURE). The short-run and long-run own price elasticity of America's softwood log import demand is -1.738 and -4.250 respectively. Then long-run elasticity is much higher than short-run elasticity. Short-run and long-run crosselasticity of New Zealand's softwood log import demand with respect to American's softwood log import price are inelastic at 0.505 and 0.883 respectively. Short-run and long-run cross-elasticity of Chile's softwood log import demands with respect to American's softwood log import prices were highly elastic at 2.442 and 4.462 respectively. Long-run elasticity was almost twice as high as short-run elasticity.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.59-72
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• 2020

This paper examines whether lending structure can lower credit risk by employing econometric techniques of panel data for the Vietnamese banking system at the bank level used by economic sectors from 2011 to 2016. New light is being shed on assessing the impact of each industry's debt outstanding on credit risk. Adopting findings from previous studies, we assess credit risk from two different sources, including loan loss provision and non-performing loan. Moreover, we also focus on observing lending structure in many different aspects, from concentrative levels to the short-term and long-term stability levels of lending structure. The Generalized Method of Moments (GMM) estimator was applied to analyze the relationship between concentration and banking risks. In general, the results show that lending concentration may decrease credit risk. It is interesting to observe that the Vietnamese commercial bank lending portfolios have, on average, higher levels of diversity across different sectors. In particular, the increase in hotel and restaurant lending contributes to decrease credit risk while the lending portfolios of banks in agriculture, electricity, gas and water increase credit risk. This study suggests the need for further analysis and research about portfolio risks in lending activities for maintaining efficiency and stability in the commercial banking system.

• 수산해양기술연구
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• 제46권3호
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• pp.265-275
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• 2010

The main purpose of this study is to estimate willingness to pay (WTP) by the general publics, assuming that they pay tax or charge for protecting marine living resources and environment through developing and supplying biodegradable fishing nets. This study employed a contingent valuation method (CVM) which is an econometric method. The survey was conducted by using both double-bounded dichotomous choice and open-ended survey. Tobit model was used for the analysis. The variables included concerns about marine environment and fishing net discarded, sex, age profile, number of family members, educational level and personal disposable income. Annual average WTP per family for the biodegradable fishing net development and supply was estimated at 5,294 won and national WTP amounted to some 84.2 billion won. This includes both of use and non-use value of biodegradable fishing nets.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.53-64
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• 2020

We provide one of the first investigation on the impact of the degree of total leverage to the dividend policy of bank. We use a large sample of US bank holding companies from 2000:Q1 to 2017:Q4 to shed light our research question. Our empirical analysis provides consistent evidence that banks with high degree of total leverage (i.e. banks with a relatively high fixed-to-variables costs) are less likely to pay dividends, and they spend a lower fraction of incomes to pay back shareholders, suggesting a higher conservatism in dividend policy of banks subject to high degree of total leverage. The evidence remains unchanged with alternative econometric approaches, alternative measures of dividend policy and degree of total leverage. We further document that this higher conservatism is strengthened for a sample of banks with low franchise value during the financial crises. Our result suggests that the conservatism in dividend policy of banks with high degree of total leverage seems to be related to the precautionary motives aimed at preserving corporate resources under financial distress. Our study contributes to the literature of cost structure and dividend policy by pointing out that the impacts of the degree of fixed-to-variable expenses to dividend policy are extended to the case of banks.

• 산경연구논집
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• 제10권7호
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• pp.7-16
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• 2019

Purpose - Economic globalization provides firms with a new channel to gain benefits from foreign countries. Therefore, using the real MNEs, this paper set China's firms as an example to explore the relationship between multinationality and performance. Research design, data, and methodology - Panel data from 2008 to 2017 was used and 390 multinational firms listed in China's A-share market was selected. Additionally, related econometric methods were employed to analyze the relationship between multinationality and performance in this study. The return on assets was treated as a dependent variable, and the sales of a firm, the firm age, the debt asset ratio of a firm, the ratio of foreign sales to total sales and the enterprise properties were treated as independent variables. All of these factors were used to conduct an empirical analysis. Results - The empirical findings in this study revealed that there is a linear relationship between multinationality and performance, as well as that non state-owned enterprises (non-SOEs) have a greater effect on the relationship between multinationality and performance than that of the state-owned enterprises (SOEs). Conclusions - On the basis of evidences this paper provided, China's government should take measures in the future to help China's firms when they fulfil international economic activities.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.33-43
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• 2020

This study aims to investigate the importance of earnings quality as a determinant of companies' performance. It provides some empirical evidences from an emerging market, specifically from the Jordanian market. This study developed an econometric model for the effect of earnings quality on the companies' performance using empirical evidence. The study employs a panel data analysis method by using a sample of all Jordanian industrial public shareholding companies listed on Amman Stock Exchange (ASE) during 2010-2018. The results reveal that Return on Assets (ROA), Return on Equity (ROE), and Earnings Per Share (EPS) as proxies of company's performance are affected by the earnings quality. This provides the importance of positive earnings quality that eventually influences the companies' performance. The results of this study suggest that the higher control level on the managers' behavior and its outcome will have an effect on earnings quality, and thus the company's performance increases. As well as, high relevance of accounting information will improve earnings quality, and thus earnings quality with the interaction factors of the company's environment work on improving performance. As a conclusion, this study can work as a reference to assist standard setters, security analysts, regulators and other accounting-information users in appraising relation between the earnings quality and companies' performance.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.219-229
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• 2020

The study investigates the factors affecting the profitability of listed commercial banks in Vietnam. Survey data for this research were collected from 10 Vietnamese listed commercial banks for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being listed commercial banks' profitability results measured through ROA. The research methods used include descriptive statistics, IV regression and OLS regression analysis, and the authors carried out the model verification with Stata 14 software. The results showed that operating efficiency, loans size, retail loans ratio, state ownership, inflation rate, and GDP growth are factors that have a positive impact on profitability On the other hand, variables such as capital size, credit risk, liquidity risk, bank size, and revenue diversification are statistically insignificant; hence, these variables are not statistically adequate to indicate the influence of those independent variables to banks' profitability. The findings of this study suggest that the quality of assets should be considered in the context that bad debt risks come from lending heavily to the real estate sector. Meeting Basel II's capital compliance requirements is relatively difficult for small listed commercial banks compared to bigger listed commercial banks in Vietnam.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.325-334
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• 2021

This study aims to investigate whether economic growth is elevated by banking industry development in Jordan. The study adopts time-series econometric methodologies, which comprise the bounds testing approach within the autoregressive distributed lag (ARDL) and the conditional causality analysis. Consistent with the assumptions of the adopted methodology, the study utilized annual time-series data for a relatively long period of thirty-nine years, between 1980 and 2018. The empirical results show that Jordan's economic growth is strongly responsive in respect to any changes in banking industry development. Also, the results reveal the harmful impact of rising lending interest rate; as this rate increases, economic growth will decrease. The findings are in line with the conceptual arguments of the supply-leading hypothesis, which confirmed that banking development is considered as one of the main pillars that have stimulating effects on economic growth. The evidence of the current study may provide important implications for policymakers and bankers. Those professionals should work to maintain a stable regulatory system that enhances the banking system function in activating economic growth. Also, a considerable focus should be placed on designing a steady interest rate policy to avoid the inherently undesirable impacts of high-interest rates on the Jordanian economy.