• Title/Summary/Keyword: Trade administration

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An Empirical Study on the Impact of China's One Belt and One Road Initiative on Asian Countries and North Korean Economy in the Aspect of Digital Transformation of the 4th Industrial Revolution (4차 산업혁명의 디지털 트랜스포메이션 측면에서 중국의 일대일로 구상이 아시아 국가와 북한 경제에 미치는 영향의 실증 연구)

  • Park, Chul-Soo
    • Knowledge Management Research
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    • v.21 no.4
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    • pp.59-88
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    • 2020
  • This study is to examine the influence of Asian countries on the economic field, and to explain the characteristics and purposes of China's Belt and Road Initiative using data analysis. The purpose of this study is to identify and analyze the influence and characteristics of China's One-to-One Road Initiative on the economic sector by examining trade and investment in Asian countries adjacent to China. In particular, the One-to-One Road initiative is proceeding in a way that connects China and neighboring countries. It is to understand the dependence of the Asian countries in China on the Chinese economy. In addition, it is intended to derive implications by grasping and evaluating what the level is based on data. This study also attempts to grasp the influence and ripple effects of the one-on-one strategy on the Chinese economy and the North Korean economy, where dependence is deepening. Recently, the strategy for Asian countries through a one-to-one initiative in China has been restructured in the framework of the construction of the "21st century Maritime Silk Road" and emphasizes the cooperation mechanism led by the country. In progress of the one Belt and One Road, Chinese ICT companies are remarkable. This study looked at the influence of China's digital one Belt and One Road on Asian countries.

A study on the relocation strategy of the control line considering the marine pollution risk index and control capacity (해양오염 위험지수와 방제능력을 고려한 방제선 재배치 전략에 관한 연구)

  • Song, Youn-Hee;Lee, Gi-Whan
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.547-557
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    • 2022
  • The numbers of occurrences and the amount of spills of marine oil pollution have increased, and accordingly, it is necessary to secure additional control capabilities. Therefore, it was intended to present an empirical basis for improving the overall idle capacity through the relocation of control ships existing in each region. First, the marine pollution index was derived and the control capability compared to the marine pollution index of each region was compared to examine the appropriateness of the deployment of control ships. The marine oil pollution risk index was derived by multiplying the nine items that cause marine pollution by the weight derived by experts. We checked the control capacity (A) compared to the marine pollution risk index (F) for each sea area. Mokpo (F:13.4, A:1.9), Busan (F:14.3, A:6.4), and Yeosu (F:21.5, A:16.6) are the areas that lack control capabilities compared to the marine pollution risk index. On the other hand, the areas that have room for control compared to the marine pollution risk index for each sea area are Masan (F: 5.9, A:13.3), Gunsan (F:1.7, A:8.3), and Jeju (F:2.7, A:6.9). Therefore, for improving the standardized control capacity proportional to the risk of marine pollution nationwide, it is suggested that the control ships of Masan, Gunsan, and Jeju should be relocated to Mokpo, Busan, and Yeosu, which lack control capacity.

An Empirical Analysis on the Efficiency of the Projects for Strengthening the Service Business Competitiveness (서비스기업경쟁력강화사업의 효율성에 대한 실증 분석)

  • Kim, Dae Ho;Kim, Dongwook
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.5
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    • pp.367-377
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    • 2016
  • The purpose of the projects for strengthening the Service Business Competitiveness, which had been sponsored by the Ministry of Trade, Industry and Energy, and managed by the NIPA, is to support for combining the whole business process of the SMEs with the business model considering the scientific aspects of the services, to enhance the productivity of them and to add the values of their activities. 5 organizations are selected in 2014, and 4 in 2015 as leading organizations for these projects. This study analyzed the efficiency of these projects using DEA. Throughout the analysis of the prior researches, this study used the amount of government-sponsored money as the input variable, and the number of new customer business, the sales revenue, and the number of new employment as the output variables. And the result of this analysis showed that the decision making unit 12, 15, and 21 was efficient. And from this study, we found out two more performance indicators such as, the number of new employment and the amount of sales revenue, besides the number of new customer businesses.

Applying the Multiple Cue Probability Learning to Consumer Learning

  • Ahn, Sowon;Kim, Juyoung;Ha, Young-Won
    • Asia Marketing Journal
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    • v.15 no.3
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    • pp.159-172
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    • 2013
  • In the present study, we apply the multiple cue probability learning (MCPL) paradigm to examine consumer learning from feedback in repeated trials. This paradigm is useful in investigating consumer learning, especially learning the relationships between the overall quality and attributes. With this paradigm, we can analyze what people learn from repeated trials by using the lens model, i.e., whether it is knowledge or consistency. In addition to introducing this paradigm, we aim to demonstrate that knowledge people gain from repeated trials with feedback is robust enough to weaken one of the most often examined contextual effects, the asymmetric dominance effect. The experiment consists of learning session and a choice task and stimuli are sport rafting boats with motor engines. During the learning session, the participants are shown an option with three attributes and are asked to evaluate its overall quality and type in a number between 0 and 100. Then an expert's evaluation, a number between 0 and 100, is provided as feedback. This trial is repeated fifteen times with different sets of attributes, which comprises one learning session. Depending on the conditions, the participants do one (low) or three (high) learning sessions or do not go through any learning session (no learning). After learning session, the participants then are provided with either a core or an extended choice set to make a choice to examine if learning from feedback would weaken the asymmetric dominance effect. The experiment uses a between-subjects experimental design (2 × 3; core set vs. extended set; no vs. low vs. high learning). The results show that the participants evaluate the overall qualities more accurately with learning. They learn the true trade-off rule between attributes (increase in knowledge) and become more consistent in their evaluations. Regarding the choice task, there is a significant decrease in the percentage of choosing the target option in the extended sets with learning, which clearly demonstrates that learning decreases the magnitude of the asymmetric dominance effect. However, these results are significant only when no learning condition is compared either to low or high learning condition. There is no significant result between low and high learning conditions, which may be due to fatigue or reflect the characteristics of learning curve. The present study introduces the MCPL paradigm in examining consumer learning and demonstrates that learning from feedback increases both knowledge and consistency and weakens the asymmetric dominance effect. The latter result may suggest that the previous demonstrations of the asymmetric dominance effect are somewhat exaggerated. In a single choice setting, people do not have enough information or experience about the stimuli, which may lead them to depend mostly on the contextual structure among options. In the future, more realistic stimuli and real experts' judgments can be used to increase the external validity of study results. In addition, consumers often learn through repeated choices in real consumer settings. Therefore, what consumers learn from feedback in repeated choices would be an interesting topic to investigate.

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A Critical Essay on 'new cold war' Discourses: The Political Consequences of the 'cold peace' ('신냉전(new cold war)' 담론에 관한 비판적 소론: '차가운 평화(cold peace)'의 정치적 결과)

  • Jun-Kee BAEK
    • Analyses & Alternatives
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    • v.7 no.3
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    • pp.27-59
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    • 2023
  • This study aims to serve as a critical comparison of the currently controversial 'new cold war' discourse. It took three triggers for the 'new cold war' discourse to emerge as a major issue in the media and academia and to have real political impact. With the launch of China's 'Belt and Road' project and Russia's annexation of Crimea leading to the 'Ukraine crisis,' the 'new cold war' discourse has begun to take shape. Trump's U.S.-China trade spat has brought the 'new cold war' debate to the forefront. The 'new cold war' debate is currently being intensified by the Biden administration's framing of "democracy versus authoritarianism" and Putin's invasion of Ukraine. Currently, there is no consensus among scholars on whether the controversial 'new cold war' is a new version, or a continuation of the historically defined concept of the Cold War. The term 'New Cold War' is less of an analytical concept and more of a topical term that has yet to achieve analytical status, let alone a theoretical validation and systematization, and the related debate remains at the level of assertion or discourse. Through this comparative analysis, I will argue that the ongoing discourse of the 'New Cold War' does not have the instrumental explanatory power to analyze the transitional phenomena of the world order today.

The Economic Cost of the Fair Online Platform Intermediary Transactions Act: A Comparative Case Study (디지털 플랫폼 규제의 경제적 비용: '온라인 플랫폼 공정화법(안)' 사례 연구)

  • Ahn, Yongkil;Kim, Yonghwan;Song, Myungjin
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.5
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    • pp.237-250
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    • 2022
  • On September 28, 2020, the Korea Fair Trade Commission introduced a proposed bill entitled the "Fair Online Platform Intermediary Transactions Act." We quantify the impact of this proposed act on Naver, Korea's major digital platform. Finding a proper control unit is not an easy task in social science studies. We overcome this caveat by constructing a synthetic version of Naver using Abadie & Gardeazabal's (2003) synthetic control method. It appears that the economic cost of the proposed act is not negligible at all. Naver's opportunity loss amounted to 16.18% of its market capitalization (approximately 8.5 trillion won in comparison with its pre-regulation market capitalization). Any regulation-based approaches to resolving digital platform issues have both promises and pitfalls. The results highlight that regulatory bodies should carefully gauge the impact of such regulations, as we have seen with Naver's case.

The Impact of the Foreign Investment Law on the Tax Decisions of Korean Companies Operating in China (외상투자법이 재중 한국기업의 세무적 선택에 미치는 영향)

  • Bak-Mun Lee;Eun-Ju Lee
    • Journal of Digital Convergence
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    • v.22 no.3
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    • pp.1-7
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    • 2024
  • This study provides an in-depth analysis of the impact of the deepening reform and opening-up policies announced at the 20th CPC Central Committee's Plenary Session, particularly focusing on the <Foreign Investment Law> and its effects on the tax decisions and organizational restructuring of Korean companies operating in China. Using a comprehensive literature review and policy analysis, the study compares the dual legal structure and tax differences before and after the implementation of the law, assessing how legal unification has influenced the organizational forms and tax strategies of Korean companies. The findings indicate that the <Foreign Investment Law> has played a crucial role in enhancing legal consistency and tax equity between foreign-invested enterprises and domestic enterprises, thereby enabling Korean companies to manage their operations in the Chinese market more stably and efficiently. Additionally, in the context of the ongoing U.S.-China trade conflict, the law's provision of national treatment and tax benefits has proven to be a significant factor in the survival strategy of Korean companies in China. Future research should focus on empirically examining the long-term effects of this law and its impact on actual corporate performance.

A Study on Marketing of Cultured Laver Products (양식해태의 유통에 관한 조사 연구)

  • 유충열
    • The Journal of Fisheries Business Administration
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    • v.4 no.1_2
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    • pp.19-57
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    • 1973
  • Laver io one of the most necessary and seasonal items in Korean food from oldtimes. Laver is lagely eaten in dried form, and its supply depends entirely upon culture weeds. The history of laver culture in Korea about sixty or seventy years is older than in Japan. Significance of laver culture is divided into two aspects, one is food supply in the nation, and the other is export to other countries. Houses engaged in laver culture are about foully thousands, and laver production in 1972 is estimated as 1, 3 bitten sheets. (1 sheet is a dried laver of 20 cm sq, in the shape of paper) Especcially meaning of layer production is the concentration of labour input, and systematic management of labour. From around 1920, the method of laver culture was introduced by Japanese Imperialism for mono culture in shallow seas, and mass products of laver is provided to Japan market, DOMESTIC MARKET Fundamental consume function calculates at below, $D_{(68_71)}$=16354 $Y^{0.471}$ $P^{-1.0662}$ where D is total layer demand, Y income variable, P price variable. It means income elasticity is 476. in the whole country, and price elasticity is 1, 07. But generally income elasticity is higher in urban area than in rural area, as shown at 1, 3 in Seoul city. Expence of laver in house expenditure is mutually correlated with another expence, See Table 12 about the relative function. See Table 14 and 16 about the relation between the gathering and the changes of price in auction, wholesale and retail price support system is for two effects, one of which is constraint of the upper price, the other is rise of the lower price. Before the system control, the equation in three year average calculated as below, $Y_{b}$ =18, 907.7455+15435.9364 t (r=0.89) where the origin t=0 is the November and the units are month. Post the system control, $Y_{p}$ =30, 047.9636+1, 631.1721t (r=0.97) therefore, this system has an effect only on the rise of lower price, Average annual margins of laver products at four market levels according to the consumer spent is below. EXPORTING MARKET Japanese demand function of laver products is, Log D=5, 289+1, 108 Log Y-1, 395 Log P (r=0.987) where D is Japanese laver demand, Y income variable, P price variable. according to which income elasticity is 1. 1 and price elasticity is 1.4. Laver production in 1970 tile highest record till then, is estimated as six billion sheets. But the recent improvement of laver culture techniques, the production of seeds and freezing storage of seeds has been stabilized. Futher new culture farms have been developed by means of break- water fences or by floating culture method. These improvements have been backed up with increased demand of laver products. Import quantity and price of Korean laver products are restrained by three organizations, that is producer, distributor and consumer. This relationship calculated by regression equation shows that import is influenced only producer organization, at the sacrifice of consumer profit. For increase to export of laver products, we urgently require to open foreign trade of laver products for Japanese consumer, .and Japan has political responsibility to solve Korean laver structure. But with long run timeseries, as regards Japanese production and import quantity, importing function shows increasing trend as below, 250 million sheets <3, 947.1674+0.005 $L_{g}$ >) 600 million sheets where $L_{q}$ is relative production quantity of laver in Japan. (unit; 100 thousand sheets) Our Export effort should be put on the highly processed products whithin the restraind quote.ote.

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Effects of Far-infrared Irradiance at Night on Quality of Sunlight Dried Red Pepper (Capsicum annuum L.) in Plastic Houses (비닐하우스 이용 고추 건조 시 야간 원적외선등 조사량이 품질에 미치는 영향)

  • Lee, Guang-Jae;Kim, Si-Dong;Yoon, Jung-Beom;Lee, Ki-Yeol;Choi, Kyu-Hong
    • Horticultural Science & Technology
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    • v.32 no.6
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    • pp.819-826
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    • 2014
  • This study was carried out to investigate the effects of night-time far-infrared irradiance quality of red pepper dried in greenhouses. This study involved 4 treatments: sunlight alone (control), or sunlight plus nightly far-infrared irradiation at $250W{\cdot}6.6m^{-2}$ ($250W{\cdot}6.6m^{-2}$), far-infrared irradiation at $250W{\cdot}3.3m^{-2}$ ($250W{\cdot}3.3m^{-2}$), or far-infrared irradiation $500W{\cdot}3.3m^{-2}$ ($500W{\cdot}3.3m^{-2}$). The drying periods were 12 days in $500W{\cdot}3.3m^{-2}$ and $250W{\cdot}3.3m^{-2}$, and 14 days in $250W{\cdot}6.6m^{-2}$, and 15 days in the control. The daytime temperature was same among the treatments. The lowest temperature was at $23.8^{\circ}C$ in control, and $29.5-37.2^{\circ}C$ in far-infrared irradiation treatments. The marketable yield was 7-14% higher in far-infrared irradiation treatments compared to the control. The rate of marketability was higher in far-infrared irradiation treatments (93.6-96.3%) than in the control (87.0-87.5%). The American Spice Trade Association (ASTA) value was greatest in the $250W{\cdot}3.3m^{-2}$ treatment, followed by $250W{\cdot}6.6m^{-2}$, then $500W{\cdot}3.3m^{-2}$, and finally the control. Capsaicinoid content showed no regular trend among the treatments. Our results provide an optimized method for reducing drying time of red pepper under sunlight, and improving the quality of dried red pepper.

The Relationship between Internet Search Volumes and Stock Price Changes: An Empirical Study on KOSDAQ Market (개별 기업에 대한 인터넷 검색량과 주가변동성의 관계: 국내 코스닥시장에서의 산업별 실증분석)

  • Jeon, Saemi;Chung, Yeojin;Lee, Dongyoup
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.81-96
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    • 2016
  • As the internet has become widespread and easy to access everywhere, it is common for people to search information via online search engines such as Google and Naver in everyday life. Recent studies have used online search volume of specific keyword as a measure of the internet users' attention in order to predict disease outbreaks such as flu and cancer, an unemployment rate, and an index of a nation's economic condition, and etc. For stock traders, web search is also one of major information resources to obtain data about individual stock items. Therefore, search volume of a stock item can reflect the amount of investors' attention on it. The investor attention has been regarded as a crucial factor influencing on stock price but it has been measured by indirect proxies such as market capitalization, trading volume, advertising expense, and etc. It has been theoretically and empirically proved that an increase of investors' attention on a stock item brings temporary increase of the stock price and the price recovers in the long run. Recent development of internet environment enables to measure the investor attention directly by the internet search volume of individual stock item, which has been used to show the attention-induced price pressure. Previous studies focus mainly on Dow Jones and NASDAQ market in the United States. In this paper, we investigate the relationship between the individual investors' attention measured by the internet search volumes and stock price changes of individual stock items in the KOSDAQ market in Korea, where the proportion of the trades by individual investors are about 90% of the total. In addition, we examine the difference between industries in the influence of investors' attention on stock return. The internet search volume of stocks were gathered from "Naver Trend" service weekly between January 2007 and June 2015. The regression model with the error term with AR(1) covariance structure is used to analyze the data since the weekly prices in a stock item are systematically correlated. The market capitalization, trading volume, the increment of trading volume, and the month in which each trade occurs are included in the model as control variables. The fitted model shows that an abnormal increase of search volume of a stock item has a positive influence on the stock return and the amount of the influence varies among the industry. The stock items in IT software, construction, and distribution industries have shown to be more influenced by the abnormally large internet search volume than the average across the industries. On the other hand, the stock items in IT hardware, manufacturing, entertainment, finance, and communication industries are less influenced by the abnormal search volume than the average. In order to verify price pressure caused by investors' attention in KOSDAQ, the stock return of the current week is modelled using the abnormal search volume observed one to four weeks ahead. On average, the abnormally large increment of the search volume increased the stock return of the current week and one week later, and it decreased the stock return in two and three weeks later. There is no significant relationship with the stock return after 4 weeks. This relationship differs among the industries. An abnormal search volume brings particularly severe price reversal on the stocks in the IT software industry, which are often to be targets of irrational investments by individual investors. An abnormal search volume caused less severe price reversal on the stocks in the manufacturing and IT hardware industries than on average across the industries. The price reversal was not observed in the communication, finance, entertainment, and transportation industries, which are known to be influenced largely by macro-economic factors such as oil price and currency exchange rate. The result of this study can be utilized to construct an intelligent trading system based on the big data gathered from web search engines, social network services, and internet communities. Particularly, the difference of price reversal effect between industries may provide useful information to make a portfolio and build an investment strategy.