• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.41-51
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• 2022

The research looks into the impact of stock split announcements on stock prices and market efficiency in the Colombo Stock Exchange (CSE). This research uses a sample of 26 stock split announcements that occurred between 2020 and June 2021. According to the Global Industry Classification Standards, the stock split announcements covered in the study pertain to 26 businesses and 9 industries (GICS). To obtain the results, the usual event research methodology is used. The findings demonstrate significant average abnormal returns of 15.01 percent on the day the stock split news is made public and abnormal returns of 4.11 percent and -4.05 percent one day before and after the stock split announcement date, respectively. The study's findings revealed significant positive abnormal returns one day before the disclosure date, indicating information leakage, and significant negative abnormal returns the next day after the announcement date, indicating CSE informational efficiency. Because stock prices adapt so quickly to public information, these findings support the semi-strong form efficient market hypothesis, which states that investors cannot gain an abnormal return by trading in stocks on the day of the stock split announcement.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.381-396
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• 2023

Purpose - The purpose of this study was to analyze environmental and labor issues and related norms, which are new trade issues that are expanding in bilateral and multilateral trade agreements, and examine the possible impact of these norms on domestic fisheries policies. Design/methodology/approach - In this study, literature research was used as the main research methods. The comparative analysis of international norms and multilateral trade agreements texts related to the environment, labor and trade were conducted. Findings - The new trade norms in the fisheries sector can be represented by labor and environment issues. Since domestic environmental and labor standards do not fully meet the standards of the multilateral trade agreements, it is necessary to ensure that domestic norms are supplemented and relevant policies are newly established through a review of international law on environment and labor. Research implications or Originality - This study confirmed that international norms related to labor and environment in the fisheries sector are mixed with soft norms and binding norms, and each norm is linked in a multi-layered and mutual way. Such international norms are being strengthened in connection with trade agreements and issues.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.225-228
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• 2022

중고 거래 플랫폼 사용이 증가함에 따라 각 중고 거래 플랫폼에 많은 사진과 글이 업로드되고 있다. 플랫폼에 올린 사진과 글을 통해 일차적으로 해당 이용자의 나이대, 사는 동네, 가족 관계, 신체 사이즈, 특정 제품 취향을 알 수 있다. 중고 거래 플랫폼에서 전화번호를 얻게 될 경우, 이차적으로 카카오톡을 통해 이용자의 얼굴 사진, 연동된 계정을 알 수 있다. 이때 얻은 얼굴 정보와 이름, 계정을 통해 인스타그램, 카카오스토리, 페이스북 등 SNS 를 통한 해당 이용자의 추가적인 개인정보들을 얻을 수 있다. 이처럼 이용자가 작성한 글을 통해 사적인 정보가 드러남으로써 심각한 개인정보 유출로 이어질 수 있다. 중고 거래 플랫폼 이용자의 직접적인 입력으로 인한 개인정보 노출을 예방하기 위해서는 이용자에게 게시물에 포함된 개인정보와 개인정보 유출의 위험성을 인지시켜 유출 위험성이 높은 개인정보는 게시하지 않도록 해야 한다. 본 논문에서는 중고 거래 판매 게시물 기반 개인정보 유출 워크플로우를 작성하여 중고 거래 플랫폼에서 나타나는 개인정보 유출의 현황을 분석하고 이를 방지하기 위한 방법을 제안했다.

• Asia Marketing Journal
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• v.11 no.2
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• pp.97-119
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• 2009

The growth of international trade and the formation of supranational economic and political trading blocks have noticeably widened the presence on the market of products of different national origins. This has stimulated interest in explaining the Country-of-Origin (COO) role in domestic and international markets and its consequences on consumer behaviour. Since the consumer purchasing decisions can be decisive to the success of a company's strategy in domestic and foreign markets, the objective of this study is to present empirical evidence on the extent to which reputation of firms associated to a certain COO are related to consumer purchase intention. Additionally our study considers ethnocentrism as a variable that partially explains the rejection of imports products based on its foreign origin. The empirical application of the proposed model is related to the purchase of Korean automobiles which represents 5.7% of the national market share in Spain. Structural equation modelling was used to analyse the data collected from 202 personal interviews carried out in a large Spanish region. The results show that reputation of firms associated to a certain COO in an important factor to establish business relationships involving consumers and firms from different countries and increase intentions to purchase Korean products. Additionally, ethnocentric consumers prefer to purchase domestic products rather than foreign imports as an attempt to protect national economy however the negative effect of ethnocentrism is weaker than positive effect of firms reputation of a COO.

• Korea Trade Review
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• v.46 no.6
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• pp.211-224
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• 2021

Based on the perspective of international trade and cross-border e-commerce development, this paper explores the impact of cross-border e-commerce on international trade. This paper first describes the current situation of China's cross-border e-commerce and proposes a theoretical model of the influence of China's cross-border e-commerce on its international trade based on the research and summary of a large number of relevant documents. This paper establishes an extended gravity model based on the proposed theoretical model. Relevant data of 13 trading partner countries were used as sample data, and OLS regression analysis and heterogeneity analysis were conducted on gravity model by using Eviews 11.0. Then, in order to study the influence of each variable on import and export trade volume, import and export trade volume were respectively taken as explained variables and further studied by OLS regression analysis. To test the robustness of the model, the empirical analysis results show that cross-border e-commerce does promote the volume of China's international trade.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.75-87
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• 2023

We designed to employ an Artificial Intelligence learning model to predict real estate prices and determine the reasons behind their changes, with the goal of using the results as a guide for policy. Numerous studies have already been conducted in an effort to develop a real estate price prediction model. The price prediction power of conventional time series analysis techniques (such as the widely-used ARIMA and VAR models for univariate time series analysis) and the more recently-discussed LSTM techniques is compared and analyzed in this study in order to forecast real estate prices. There is currently a period of rising volatility in the real estate market as a result of both internal and external factors. Predicting the movement of real estate values during times of heightened volatility is more challenging than it is during times of persistent general trends. According to the real estate market cycle, this study focuses on the three times of extreme volatility. It was established that the LSTM, VAR, and ARIMA models have strong predictive capacity by successfully forecasting the trading price index during a period of unusually high volatility. We explores potential synergies between the hybrid artificial intelligence learning model and the conventional statistical prediction model.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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• pp.250-256
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• 1998

The culture of makeup has early developed in China. Especially, beautiful eyebrows were the symbol of a beauty. This study is related to fashionable Cheong-Dae in Han Dynasty. In Han Dynasty, women painted thier eyebrows with blue color in a different color from former periods. This fact has close connection with the bordering countries on Western China. Together with Hu fashion having been in fashion during trading directive with Western China women has seemed to use Cheong-Dae for their makeup in Han Dynasty. In Hand Dynasty, Ferghana women had very often used it for their makeup. And it had produced in Ferghana, Jaguda, Kashkar. In Tang Dynasty, it has been said that Persia was the best. Let's take a look at the producing method. Soak indigo plants in water add lime and stir it up, then bubbles are formed. They are called it as Cheong-Dae. Nearly, they are produced in the course of indigo dying. So we can see inflowing course of Cheong-Dae into China through the history of Indigo dying. We can guess the use of Cheong-Dae in Egypt. Indeed, Nile Blue is used for the Protection their access from insects as well as effect of coolness visually. This guess is very reasonable because the fact is considered that some people dye with indigo color by the way of sedimentation in Peniasula of Sinai. Also, the PH of Cheong-Dae is about 7. So, it does no harm in skin and its color is dark blue. Cheong-Dae has effects of insecticide and removal of fever. Cheong-Dae that had been used in Peninsula of Egypt seems to have been carried into China through Silk Route. And by trial to make Cheong-Dae it is proved that its ingredient is plant.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.49-56
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• 2023

Currently, e-commerce is changing from a digital twin to a metaverse world. The metaverse world is an intermediate form between virtual and real worlds and is operated as a coin-based meta-commerce. In this meta-commerce world, blockchain-based NFT coins are used when trading items (contents). In this study, we studied how to issue a large number of NFT coins (certification) rather than issuing a single type of NFT. The research method was designed to produce content layer-based and automatically create the desired quantity using a mass NFT index and automatic generation method. In this study, a layer overlap method (background, body, etc.) was used with a Phyton-based program for mass minting. As a result, it can be used as a blockchain-based certificate that can prove a group of many people. In addition, the content created with the NFT index was registered on the NFT sales site to confirm its utilization and value.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.423-429
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• 2022

The survey was conducted on the Bungae Jangter and Danggeun Market, which provide mobile used market services. The goal is to investigate factors that affect the user experience of used market platforms and to compare usability. Based on Peter Morville's Honeycomb Model, a survey and In-depth interviews were conducted to users with experience in secondhand transactions. And we qualitatively analyze the factors that affect the user experience. As a result, there were differences in usability depending on the age of the user. (reliability, how to find things, purpose of using used trading services, etc.) This study focused on actual user experience, so it will help you find a way to develop to user-centered secondhand marketplace services.

• Environmental and Resource Economics Review
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• v.31 no.2
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• pp.165-204
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• 2022

This study organized data from 2000 to 2014 for 20 grid-connected countries in Europe and analyzed the determinants of carbon emissions through the panel GLS method considering the problem of heteroscedasticity and autocorrelation. At the same time, the effect of introducing ETS was considered by dividing the sample period as of 2005 when the European emission trading system was introduced. Carbon emissions from individual countries were used as dependent variables, and proportion of generation by each source, power self-sufficiency ratio of neighboring countries, power production from resource-holding countries, concentration of power sources, total energy consumption per capita in the industrial sector, tax of electricity, net electricity export per capita, and size of national territory per capita. According to the estimation results, the proportion of nuclear power and renewable energy generation, concentration of power sources, and size of the national territory area per capita had a negative (-) effect on carbon emissions both before and after 2005. On the other hand, the proportion of coal power generation, the power supply and demand rate of neighboring countries, the power production of resource-holding countries, and the total energy consumption per capita in the industrial sector were found to have a positive (+) effect on carbon emissions. In addition, the proportion of gas generation had a negative (-) effect on carbon emissions, and tax of electricity were found to have a positive (+) effect. However, all of these were only significant before 2005. It was found that net electricity export per capita had a negative (-) effect on carbon emissions only after 2005. The results of this study suggest macroscopic strategies to reduce carbon emissions to green growth, suggesting mid- to long-term power mix optimization measures considering the electricity trade market and their role.