• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.177-183
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• 2022

The COVID-19 pandemic has hurt the economy and negatively impacted all enterprises' financial performance. The COVID-19 pandemic has put a strain on global manufacturing capacity and supply chains, and it is also the pandemic that has given up new opportunities for the logistics industry to develop as e-commerce has developed. By analyzing the financial performance of logistic firms listed on the Vietnam Stock Exchange, this study tries to quantify those consequences. A total of 114 logistic companies were included in the study's sample. The Wilcoxon Signed Rank Test was performed to test the difference between some ratios in 2019 and 2020. This study found that the financial performance of 114 logistic firms listed on the Vietnam stock exchange has not improved. The data show that during the COVID-19 pandemic, the leverage ratio increased while the profitability and efficiency ratios decreased. The liquidity ratio did not show any significant differences. On the contrary, these businesses' performance, such as returns on assets, receivable turnover, and leverage, has decreased. The COVID-19 had a global impact on supply chains, therefore export activity and international transportation were badly hampered, with only a few domestic logistic enterprises growing.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1996.05a
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• pp.41-62
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• 1996

Since 1966 tissue culture has been used as a tool for the production of disease indexed stocks from selected plants and their rapid (clonal) mass propagation through the procedure now referred to as micropropagation. The major advantages have been the rapid introduction of new plant cultivars, created within conventional and mutation breeding programmes, as healthy stock for beneficial distribution and the expansion of the world wide horticultural industry. (omitted)

• Journal of Climate Change Research
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• v.8 no.4
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• pp.415-424
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• 2017

This study was conducted to estimate carbon stocks of Pinus densiflora with drawing volume of trees in each tree height and DBH applying the suitable stem taper equation and tree specific carbon emission factors, using collected growth data from all over the country. Information on distribution area, tree age, tree number per hectare, tree volume and volume stocks were obtained from the $5^{th}$ National Forest Inventory (2006~2010) and Statistical yearbook of forest (2016), and method provided in IPCC GPG was applied to estimate carbon stock and uptake. Performance in predicting stem diameter at a specific point along a stem in Pinus densiflora by applying Kozak's model, $d=a_{1}DBH^{a_2}a_3^{DBH}X^{b_{1}Z^2+b_2ln(Z+0.001)+b_3\sqrt{Z}+b_4e^z+b_5(\frac{DBH}{H})}$, which is well known equation in stem taper estimation, was evaluated with validations statistics, Fitness Index, Bias and Standard Error of Bias. Consequently, Kozak's model turned out to be suitable in all validations statistics. Stem volume table of P. densiflora was derived by applying Kozak's model and carbon stock tables in each tree height and DBH were developed with country-specific carbon emission factors ($WD=0.445t/m^3$, BEF = 1.445, R = 0.255) of P. densiflora. As the results of analysis in carbon uptake for each province, the values were high with Gangwon-do $9.4tCO_2/ha/yr$, Gyeongsandnam-do and Gyeonggi-do $8.7tCO_2/ha/yr$, Chungcheongnam-do $7.9tCO_2/ha/yr$ and Gyeongsangbuk-do $7.8tCO_2/ha/yr$ in order, and Jeju-do was the lowest with $6.8tC/ha/yr$. Total carbon stocks of P. densiflora were 127,677 thousands tC which is 25.5% compared with total percentage of forest and carbon stock per hectare (ha) was $84.5tC/ha/yr$ and $7.8tCO_2/ha/yr$, respectively.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.893-902
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• 2021

The paper examines the impact of corporate governance (CG), on dividend policy (DP) of enterprises in Vietnam. The paper studies the impact of CG on DP of businesses listed on Vietnam's stock exchange in the period 2008-2018 with 2,937 observations. The data of these companies is collected from the financial statements of businesses and Vietstock data sets, as well as aggregated from the data published on some reputable securities websites. The study used GLS regression method for data collected at listed companies in Vietnam in the period of 2008-2018. The research results have found that CG, the chairman of the board of directors (BOD), and the managing director have a negative effect on the DP. Specifically, companies with strong BODs tend to pay low dividends. At the same time, research shows that factors such as profitability, financial leverage, firm size, and investment opportunities affect DP. This result underscores the importance of corporate governance (both internal and external) to the income distribution decision and provides policy implications for investors and company executives. The study finds solid evidence that alternative theory explains better the relationship between corporate governance and dividend policy. Accordingly, companies with weak corporate governance will pay more dividends.

• Journal of Distribution Science
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• v.22 no.6
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• pp.11-22
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• 2024

Purpose: Thisstudy aimsto analyze the distribution of audit committee, independent board of commissioners, and institutional ownership on earnings quality with strengthening earnings growth. Research Design data and Methodology: This quantitative research uses a comparative causal approach. The research population consists of manufacturing companies in the basic and chemical industry sector listed on the Indonesia Stock Exchange in 2016-2022. Samples were obtained as many as 112 using purposive sampling method. The analysis technique to test the hypothesis uses multiple linear regression tests and moderation tests with an absolute difference approach. Results: The results showed that the audit committee and board of commissioners provide a significant positive distribution on earnings quality, while institutional ownership provides a significant negative distribution on earnings quality. Earnings growth strengthens the distribution of the audit committee and independent board of commissioners on earnings quality. However, earnings growth does not strengthen the distribution of institutional ownership on earnings quality. Conclusions: Audit oversight from audit committee and management performance oversight from the independent board of commissioners improves the credibility of earnings quality. Management oversight from institutional ownership reduces earnings quality. The interaction of earnings growth with maximum supervision can improve earnings quality, except for supervision from institutional ownership.

• Journal of Climate Change Research
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• v.6 no.4
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• pp.357-366
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• 2015

This study was conducted to estimate carbon stocks of Quercus serrata with drawing volume of trees in each tree height and DBH applying the suitable stem taper equation and tree specific carbon emission factors, using collected growth data from all over the country. Information on distribution area, tree number per hectare, tree volume and volume stocks were obtained from the $5^{th}$ National Forest Inventory (2006~2010), and method provided in IPCC GPG was applied to estimate carbon storage and removals. Performance in predicting stem diameter at a specific point along a stem in Quercus serrata by applying Kozak's model,$d=a_1DBH^{a_2}a_3^{DBH}X^{b_1Z^2+b_2ln(Z+0.001)+b_3{\sqrt{Z}}+b_4e^Z+b_5({\frac{DBH}{H}})}$, which is well known equation in stem taper estimation, was evaluated with validations statistics, Fitness Index, Bias and Standard Error of Bias. Consequently, Kozak's model turned out to be suitable in all validations statistics. Stem volume tables of Quercus serrata were derived by applying Kozak's model and carbon stock tables in each tree height and DBH were developed with country-specific carbon emission factors ($WD=0.65t/m^3$, BEF=1.55, R=0.43) of Quercus serrata. As a result of carbon stock analysis by age class in Quercus serrata, carbon stocks of IV age class (11,358 ha, 36.5%) and V age class (10,432; 33.5%) which take up the largest area in distribution of age class were 957,000 tC and 1,312,000 tC. Total carbon stocks of Quercus serrata were 3,191,000 tC which is 3% compared with total percentage of broad-leaved forest and carbon sequestration per hectare(ha) was 3.8 tC/ha/yr, $13.9tCO_2/ha/yr$, respectively.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.37-51
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• 2015

Due to the development of internet technology and the rapid increase of internet data, various studies are actively conducted on how to use and analyze internet data for various purposes. In particular, in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of the current application of structured data. Especially, there are various studies on sentimental analysis to score opinions based on the distribution of polarity such as positivity or negativity of vocabularies or sentences of the texts in documents. As a part of such studies, this study tries to predict ups and downs of stock prices of companies by performing sentimental analysis on news contexts of the particular companies in the Internet. A variety of news on companies is produced online by different economic agents, and it is diffused quickly and accessed easily in the Internet. So, based on inefficient market hypothesis, we can expect that news information of an individual company can be used to predict the fluctuations of stock prices of the company if we apply proper data analysis techniques. However, as the areas of corporate management activity are different, an analysis considering characteristics of each company is required in the analysis of text data based on machine-learning. In addition, since the news including positive or negative information on certain companies have various impacts on other companies or industry fields, an analysis for the prediction of the stock price of each company is necessary. Therefore, this study attempted to predict changes in the stock prices of the individual companies that applied a sentimental analysis of the online news data. Accordingly, this study chose top company in KOSPI 200 as the subjects of the analysis, and collected and analyzed online news data by each company produced for two years on a representative domestic search portal service, Naver. In addition, considering the differences in the meanings of vocabularies for each of the certain economic subjects, it aims to improve performance by building up a lexicon for each individual company and applying that to an analysis. As a result of the analysis, the accuracy of the prediction by each company are different, and the prediction accurate rate turned out to be 56% on average. Comparing the accuracy of the prediction of stock prices on industry sectors, 'energy/chemical', 'consumer goods for living' and 'consumer discretionary' showed a relatively higher accuracy of the prediction of stock prices than other industries, while it was found that the sectors such as 'information technology' and 'shipbuilding/transportation' industry had lower accuracy of prediction. The number of the representative companies in each industry collected was five each, so it is somewhat difficult to generalize, but it could be confirmed that there was a difference in the accuracy of the prediction of stock prices depending on industry sectors. In addition, at the individual company level, the companies such as 'Kangwon Land', 'KT & G' and 'SK Innovation' showed a relatively higher prediction accuracy as compared to other companies, while it showed that the companies such as 'Young Poong', 'LG', 'Samsung Life Insurance', and 'Doosan' had a low prediction accuracy of less than 50%. In this paper, we performed an analysis of the share price performance relative to the prediction of individual companies through the vocabulary of pre-built company to take advantage of the online news information. In this paper, we aim to improve performance of the stock prices prediction, applying online news information, through the stock price prediction of individual companies. Based on this, in the future, it will be possible to find ways to increase the stock price prediction accuracy by complementing the problem of unnecessary words that are added to the sentiment dictionary.

• Proceedings of the Korean DIstribution Association Conference
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• 2003.05a
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• pp.71-92
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• 2003

Specialty stores, which have been major channels of Korean cosmetic industry, are bringing out a lot of problems in current distribution channel systems because of its repeated depression of sales. Especially, inefficiency in distribution channel systems is caused by cannibalistic price-off competition between specialty stores, too many launchings of new products, excessive sales promotion, absence or surplus of stock, and so on. Using qualitative methods such as in-depth interview and group discussion, the authors attempt In diagnose fundamental problems of the cosmetic specialty store distribution channels in three viewpoints； achievement of goals, marketing flows in channels, and relationship management. In addition, this paper suggests core strategies for building up the competitiveness of both of the maker and the retailer, The competitive strategies are mainly about securing profitability of retailers, smoothening of marketing flows in channels, and building-up trustful relationships between distribution channel members.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.76-84
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• 2003

The bankruptcy possibility of construction firms have been higher by the environment of current construction industry. Thus, converting management environment for growth into that for value or profit is required. Nowadays, funds of construction firms is almost provided by financial institutions. As the firms' size grow, they have a form of fund provision through the securities market; however, fair distribution for returns is not practiced by opening company. Especially, construction firms lost trust of Investor by lack of awareness to firm clearness, and then a vicious cycle of no effectiveness in fund provision through securities market is continued again. On this study correlation between stock quotations and primary financial factors of firms in order to grasp actual management condition in construction firms was analyzed. By this, the correlation between stock quotations and the result of firm management was provided. Also, necessity of firm's capital provision was explained, thus ways to ensure firm clearness was searched.

• Journal of Distribution Science
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• v.10 no.5
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• pp.19-28
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• 2012

The study examines the performance and its relationship with capital structure and agency cost with respect to the industrial configurations and economic groups of Pakistan Economy. The study employs data set of 334 listed joint stock companies from the nonfinancial sectors for the period of 1999-2009 from cotton and textile, engineering, chemical, sugar, cement, fuel and energy, paper and board, transport and communication, and miscellaneous economic groups. Pooled data from the Panel data methodology has been applied to observe the significance of different performance measures through determinant of capital structure and agency costs with special focus on the leverage and cash flows as the direct determinant and interactive variables. The empirical test results using redundant variable tests demonstrate support for agency theory in the context of Pakistan's industrial configurations. The implications of the study point towards more investigations on the subject using industrial configurations as control and moderating variables.