• Korea Trade Review
• /
• v.42 no.2
• /
• pp.277-296
• /
• 2017

More than 95% of imports and exports in the World are being transported by vessels. In other words, marine transportation accounts for a large portion of share in the world trade. The purpose of this study is to analyze factors of seaborne trade volume according to items affecting on the world economy. This study conducted a linear regression analysis between seaborne trade volume and the world economy (world GDP) to estimate the correlation between them. Panel data analysis and random effects model analysis have been applied to examine the effect of seaborne trade volume. For this study, the seaborne trade volume is categorized into 10 items, and estimated how much global GDP will be affected when the trade volume changes. In addition, the granger causality test was conducted to verify the relationship between seaborne trade volume and the world GDP. As a result, seaborne trade volume and the world GDP were mutually influenced each other. However, seaborne trade volume affects the world economy more significantly. The items affecting world economic growth include petroleum products, crude oil, chemical products, and so on. The estimated value of the coefficients of petroleum products, crude oil and chemical products were 1.014, 1.013 and 1.010, respectively. The estimated value 1.014 of petroleum products means that the growth rate is 1.014 times higher than the current world GDP growth rate when the seaborne trade volume of petroleum products increased by one unit Lastly, this study examines the seaborne trade volume of 10 categories and then verifies whether the growth rate of world GDP will increase when the volume of seaborne trade increased. This study is expected to provide policy-makers with useful information about formulating policies related to international trade.

• Journal of the Korean Regional Science Association
• /
• v.40 no.1
• /
• pp.3-17
• /
• 2024

Despite extensive discussions on the repercussions of the prolonged COVID-19 pandemic, there is a lack of analysis on the relationships and changes in relationships between business districts Therefore, this study aims to understand the impact of COVID-19 on retail business districts in Seoul by considering the geographical dependency and interactions of these districts. Using data from the fourth quarters of 2019 to 2021 for 1,490 retail business districts in Seoul, we employed the 3-Stage Least Squares (3SLS) estimation method for simultaneous equation modeling to empirically examine how spatial dependencies among retail business districts in Seoul have evolved due to the influence of COVID-19. The results indicate the existence of spatial dependence among retail business districts in Seoul, with developmental districts exerting a negative influence on nearby districts. Furthermore, the analysis reveals changes in dependency patterns after the onset of COVID-19, interpreted as a decrease in commercial activities in developmental districts due to the impact of the pandemic. The significance of this study lies in providing new insights into Seoul's retail business districts through a spatially dependent analysis, offering a foundation for various stakeholders, including government, local authorities, and small business owners, to respond appropriately to changes in business districts by considering their interrelationships.

• Informatization Policy
• /
• v.24 no.3
• /
• pp.67-90
• /
• 2017

This study is conducted to find out problems in the implementation system of regional informatization policies in Korea and solutions to enhance the effectiveness in policy execution. The study uses research methodologies such as participant observation, interview and AHP for experts and employees of public organizations for regional informatization policies. Many implications were found in the analysis, including that policy relations, structure of the policy implementation system, and environment and contents of regional informatization policiesin Korea have to be innovated and re-organized. Especially, this paper emphasizes the horizontal and cooperative relationship between the central and local governments and redesigning of the legal system on the regional informatization. This paper also shows expectations on reshaping of the regional informatization policies with the paradigm shift of the government power toward decentralization. This paper also finds diverse views on the problems and solutions for the regional informatization policy implementation system based on different characteristics and interests of policy participants. This paper finds the possibility of applying the policy network model to regional informatization policy implementation, which can be supported by Rhodes & Marsh(1992)'s theory. Therefore, this paper shows the change of regional informatization policies can be expected through application of the policy network. Although the paper draws many academic and policy implications, they are limited to the implementation system of regional informatization policies only.

• KDI Journal of Economic Policy
• /
• v.35 no.2
• /
• pp.1-39
• /
• 2013

Considering the relationship between state-owned enterprise (SOE) CEOs and political circles, this study examines the performance impacts of CEO's succession type, board chair separation, and industry expertise and finance expertise of CEOs and outside directors. I propose the definition of political independence in SOE CEOs based on the independence in appearance that might affect general people's perception. It means that there are no relationships or circumstances that might affect SOE CEO's judgment, activity, and report. The definition is able to overcome the limitations of the prior research that could not discover the CEOs who were affiliated to political circles because the research just distinguished the CEOs following their pre-jobs. This study focused on the performance impacts of political independence impaired CEO as well as the CEO's impacts on the relationship between the performance and other corporate governance variables. I selected as dependent variables the average return on asset as operating income divided by total assets and the average customer satisfaction rate evaluated by Korean government during the first three years following the year of the events of explanatory variables. My theory and evidence from the various CEO's personal background and financial information from SOEs in Lee Myung-bak Administration and Rho Moo-hyun Administration suggest the following important things. First, the analysis based on whether or not a SOE CEO keeps political independence shows that a political independence impaired CEO made a significantly negative impact on customer satisfaction rate. Second, the separation between a board chair and a CEO in SOEs introduced by Korean Act on Management of Public Institutions made a significantly positive impact on customer satisfaction rate. However, the positive impact of the board chair separation was removed in a political independence impaired CEO's SOE. Third, outside director's industry expertise made a significantly positive impact on return on asset. However, the positive impact of the outside director's industry expertise was removed in a political independence impaired CEO's SOE. Fourth, the comparison between Lee Myung-bak Administration and Roh Moo-hyun Administration on the corporate governance and performance of SOEs shows that the ratio of political independence impaired CEO was significantly higher in Lee Administration and the ratio of outside director's industry expertise and finance expertise were respectively significantly higher in Roh Administration. Based on these results, I suggested a few policy alternatives for CEO's improved political independence and requirements for executive's expertise in SOEs.

• Korean Journal of Construction Engineering and Management
• /
• v.19 no.5
• /
• pp.10-21
• /
• 2018

This study analyzes difficulties of enterprise activities in Chinese construction market by surveys on early entrants and interviews with experts. This study also suggests future strategy to enter the market by using inducement coefficient model. Korean construction companies in China are under heavy pressure to maintain requirement of licenses, despite recent deregulation. They are in dire predicament for market entry due to the Foreign Direct Investment System. It is almost impossible to participate in public projects and also it is not easy to do PPP projects. Therefore, Korean government should make more efforts to solve those issues through negotiations in FTA and GPA. For future expansion in Chinese construction market, it is highly recommended to boost cooperation models between Korea and China according to the empirical results of inducement coefficient model. Korean companies should collaborate with Chinese companies in some fields: smart city, environment and water treatment. Also, Korean government should support Korean companies by diplomatic means such as requesting for further opening of China's market. In GPA or GATS negotiation, Korean government should ask Chinese government that Korean companies can obtain order independently (without joint venture with Chinese companies) in China. Lastly, Korean construction companies should participate in construction projects ordered by international organizations such as ADB, AIIB.

• Journal of Intelligence and Information Systems
• /
• v.21 no.3
• /
• pp.37-52
• /
• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.

• Journal of Digital Convergence
• /
• v.13 no.8
• /
• pp.301-313
• /
• 2015

Robot technology has become a crucial part of today's business operation. In fact, more manufacturing firms have been utilizing robot technology in order to increase operational efficiency and productivity. Thus, this study develops the research model investigating firms; behavior for process innovation with intelligent robot. Three categories - Technical, Entrepreneur, and Environmental characteristic - are proposed in the research model as determinants of process innovation. These three characteristics include six variables(Perceived Direct Usefulness, Perceived Indirect Usefulness, Innovation, Risk Senstivity, Perceived Industry Pressure, and Perceived Government Pressure) as influencing factors on process innovation. The data from 77 employee at manufacturing firms were analyzed to test proposed hypotheses. The results reveal that all variables with exception of Perceived Government Pressure have a significant influence on process innovation. Based on the study results, theoretical and practical implications for process innovation with intelligent robot technology are discussed.

• Korean Journal of Social Welfare
• /
• v.67 no.4
• /
• pp.51-77
• /
• 2015

This study attempts to examine the relationship between human resource management & financial resource management and service quality in social service organizations in Korea. This study utilizes '2012 Central Government Social Welfare Facilities Evaluation (CGSWFE)' data and employs multiple regression method to examine research model. The key findings of this study are as follows: (1) after controlling extraneous variables (organizational characteristics), among human resource management related variables, performance appraisal, fringe benefits, supervision, formal grievance procedure, the percentage of employees with certified professional license, and salary have statistically significant relationships with service quality in a positive direction; (2) among financial resource management related variables, the percentage of additional governmental funding beyond basic government subsidies, accounting management, and transparent use and management of donations have statistically significant relationships with service quality in a positive direction; and (3) human resource management related variables are stronger than financial resource management related variables in explaining service quality. The findings imply that more systematic human resource management and financial resource management would be very important in strengthening service quality in social service organizations. This study provides new knowledge foundation regarding the effect of human resource management and financial resource management on service quality in social service organizations.

• Journal of Korean Society of Transportation
• /
• v.20 no.7
• /
• pp.15-22
• /
• 2002

Transportation project appraisal should be precise in order to increase the social welfare and efficiency, and it has been evaluated by only a single criterion analysis such as benefit/cost analysis. However, this method cannot assess some qualitative items, and cannot get a proper solution for the clash of interests among various groups. Therefore, the multi-criteria analysis, which can control these problems, is needed, and then Saaty has developed one of these methods, AHP(Analytic Hierarchy Process) method. In AHP, the project is evaluated through weighted score of the criteria and the alternatives, which is surveyed by a questionnaire of specialists. It is based on some strict suppositions such as reciprocal comparison, homogeneity, expectation, independence relationship between multi-criteria, but supposing that each criterion has independence relation with others is too difficult in two reasons. First, in real situation, there cannot be perfect independence relationship between standards. Second, individuals, even though they are specialists of that area, do not feel the degree of independence relation as same as others. This paper develops a modified AHP method for solving this dependence relationship between multi-criteria. First of all. in this method, the degree of dependence relationship between multi-criteria that the specialist feels is surveyed and included to the weighted score of multi-criteria This study supposes three methods to implement this idea. The first model products the degree of dependence relationship in the first step for calculating the weighted score, and the others adjust the result of weighted score from the basic AHP method to the dependence relationship. One of the second methods distributes the cross weighted score to each standard by constant ratio, and the other splits them using Fuzzy measure such as Bel and Pl. Finally, in order to validate these methods, this paper applies them to evaluate the alternatives which can control public resentments against Korean rail path in a city area.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2012.05a
• /
• pp.133-133
• /
• 2012

기후변화에 관한 정부 간 패널 IPCC의 4차 보고서에 의하면 지난 100년간 지구 평균 기온의 선형추세선 기울기가 $0.74^{\circ}C$/년을 보이고 있으며 21세기말 지구의 평균기온은 최대 $6.3^{\circ}C$까지 더 상승할 것으로 전망하고 있다. 이러한 대기기온의 상승은 저수지 및 하천의 수온과 밀접한 관계를 지니는데, 저수지 표층 수온 및 유입 하천의 수온을 증가시켜 저수지 수온 성층형성시기를 앞당겨 성층화 기간을 증가시키고 또한 성층강도도 증가하게 된다. 이러한 수온성층기간 및 강도의 증가는 심수층의 용존산소 고갈과 이에 따른 퇴적층의 영양염류 용출량을 증가시켜 저수지 수질관리에 어려움을 야기할 것으로 전망되고 있다. 특히 온대기후대에 속하는 우리나라의 대부분의 대형 인공 저수지는 여름철 뚜렷한 수온성층구조가 확인되고 있어 대기기온 상승이 수온성층구조에 미치는 영향을 분석하는 것은 미래 기후변화에 대비한 저수지 수질관리 전략 수립을 위해 필요한 기초 연구라 판단되어진다. 본 연구에서는 2차원 횡방향 평균 수치모형(CE-QUAL-W2)을 활용하여 대기 온도 변화에 따른 충주호의 수온분포를 모의하고 수온 성층구조의 변동경향을 분석하였다. 지구 온난화 영향 모의에 앞서 2010년과 2008년의 충주호 수문조건에 모형을 적용하여 수온 성층구조의 재현성을 확인하였다. 미래 대기기온 자료는 국립기상연구소에서 제공하는 한반도 기후전망 모의자료(RCM) 중 충주댐 유역의 평균 기온자료를 수집하여 사용하였으며, 모의연도는 2011, 2040, 2070, 2100으로 하였다. 또한, 대기기온과 유입수온 자료를 제외한 모든 입력자료는 보정년도인 2010년과 동일하다고 가정하여 대기기온 변화의 영향만을 고려하였다. 2011년에 비해 2100년의 대기기온이 연평균 $2.44^{\circ}C$ 증가하였을 때 표층수온은 평균 $1.72^{\circ}C$, 최대 $4.31^{\circ}C$ 증가하는 것으로 나타났으며, 심층수온은 평균 $0.36^{\circ}C$, 최대 $1.33^{\circ}C$ 증가하는 것으로 나타났다. 성층구조 형성기간의 비교를 위해 표층과 심층의 수온이 $5^{\circ}C$ 이상의 차이를 보이는 기간을 조사한 결과 2011년에 비해 2100년에서 5일 일찍 시작되어 11일 더 지속되는 것으로 나타났다.