• 한국시스템다이내믹스연구
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• 제13권4호
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• pp.5-31
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• 2012

This paper aims at investigating the dynamics between aging population and local finance. In recent years, the aging rate has been accelerating the pace. The trend implies that Korea is moving towards the aging society, presumably, with unprecedented speed in the world. Aging society's biggest problems are centered around the explosive growth of the financial needs. In particular, these problems are apt to appear more seriously in local governments, as most of them are confronted with high level of aging population and poor financial bases. Firstly, it analyzes how the population structure in the local government impacts local finance, income and expenditure. Based upon in-depth literature reviews, this study examines variables related to aging population and local fiance. Secondly, it focuses on a series of positive and negative feedback loops which would reveal the essence of the mutual interaction structure between aging population and local governments' fiscal behaviors.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2007년도 춘계학술대회
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• pp.139-151
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• 2007

Decision-making in the crisis management happens in dynamic, rapidly changing, and often unpredictable distributed environments. Crisis management Decision Support Systems (DSSs) in E-Government are challenged by the need to use it availably at anytime, from anywhere, and even under any-situation. In this paper the reasons of developing distributed architecture for crisis management Decision Support Systems (DSSs) in E-Government are analyzed. Consequently, a distributed architecture for crisis management Decision Support System (DSS) is proposed in this paper. Finally it is implemented by Web Services. If crisis management Decision Support System (DSS) based on distributed architecture is implemented by Web Service, then it can provide decision support for decision-makers to deal with crisis at anytime, from anywhere, and even under any-situation.

• 한국유기농업학회지
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• 제11권4호
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• pp.39-59
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• 2003

The purpose of this study is to introduce issues on agricultural policy of participatory government and to suggest some implications for national consensus. According to the finance and investment plan, 119 trillion won in total will be invested in the farming industry for improving the welfare system and development of the sector over the next 10 years. It is very important that this plan will make Korean farmers competitive and income per capita increased more and more. By the way, the plan has been argued by farmer’s organization(NGO) and some people of academic circles because there is a fair question as to how effective these investment aids will be. Therefore, the finance and investment plan must be established on the basis of effective execution system as well as additional discussion for national agreement. In addition, the 'Special Plan Committee for agriculture-fishery and farming-fishing communities' will work out an ideal framework for succeeding this plan.

• KDI Journal of Economic Policy
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• 제40권3호
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• pp.91-115
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• 2018

This paper aims to identify the most effective mode of development finance flows for the economic growth of middle-income developing and least developed countries, separately. It also attempts to confirm whether governance has any significant role in the causal relationship between development finance flows and economic growth. Policymakers in each developing country should select the most effective modality of development finance inflows among the different modalities (such as Official Development Assistance (ODA) grants, Official Development Assistance (ODA) loans, FDI, and international personal remittances) and expand it for their economic growth. Dynamic panel regression models were used on 48 least developed countries and 89 middle-income developing countries, respectively, during the Millennium Development Era: 2000-2015. The empirical analysis results show that ODA grants and remittances were most effective in promoting economic growth for least developed countries, while FDI was most effective for middle-income developing countries. These findings were not affected by the status of governance of the individual country.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.113-117
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• 2021

The article defines the basic concepts: "election campaign", "social capital", "conversion of social capital"; the principles and methods of research of social capital conversion in election campaigns are studied; the process of using social capital in politics is defined; ways of converting social capital into politics are considered; the possibilities of converting social capital in election campaigns are described. Election campaigns have been found to be a successful form of social capital conversion. The ability to use social capital in the election campaign speaks of its high potential. Election campaigns are not an effective use of social capital.

• 한국항해항만학회지
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• 제46권5호
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• pp.427-434
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• 2022

The purpose of this study was to analyze whether the disposition effect, a behavioral finance theory, exists in decision-making for ship investment. A case study was adopted as the research methodology, and data obtained through narrative and questionnaire responses on decision-making for ship sales were analyzed from a behavioral finance perspective. The analysis found that the disposition effect had an impact on the decision to sell a vessel. The narrative responses revealed that some shipping companies tended to miss the opportunity to maximize ship sale profit because they sold their vessels readily and quickly before the price of the vessels had risen sufficiently. The questionnaire survey results indicated that the majority of the survey respondents chose to sell a ship whose price had risen slightly from the initial purchase price. Managers in charge of ship investment should examine whether the disposition effect exists in their decision-making when selling a ship.

• 한국컴퓨터정보학회논문지
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• 제10권6호
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• pp.287-298
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• 2005

지방자치시대를 맞이하여 진정한 지방분권화를 이루기 위해서는 일정 행정 수준의 자주재정 확립이 보장되어야 한다. 현재 우리나라에서는 지방정부가 안고 있는 수직적 $\cdot$ 수평적 재정불균형 문제를 해소하며, 국가차원의 지역균형발전 및 행정의 효율성 및 효과성을 확보하기 위한 수단으로 지방재정조정제도를 시행하고 있다. 지방재정조정제도는 지역 간의 세원편재와 재정불균형의 시정을 통한 지방자치단체의 일정 행정 수준(national minimum standard)을 확보할 수 있도록 재원을 보장해주며 합리적이고 효율적인 제도 운영이 중요하다. 본 연구에서는 지방재정조정제도의 두 가지 수단인 지방교부세와 국고보조금에 대하여 알아보고 재정력이 취약한 자치단체의 재정형평성에 기여할 수 있는 개선방안을 제시하였다. 지방교부세와 국고보조금의 배분방식과 운영형태 등을 조정하여 형평성 원칙에 맞게 운영해 나가야 할 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.1-13
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• 2020

This study analyzes the key drivers (commitment, integration of big data, green supply chain management, and green human resource practices) of sustainable capabilities and the influence to which these sustainable capabilities impact the banks' environmental and financial performance. Additionally, this study analyzes the impact of green management practices on the integration of big data technology with operations. The theory of dynamic capability was deployed to propose and empirically test the conceptual model. Data was collected through a self-administrated survey questionnaire from 319 participants employed at 35 banks located in six ASEAN countries. The findings indicate that big data analytics strategies have an impact on internal processes and banks' sustainable and financial performance. This study indicates that banks committed towards proper data monitoring of its clients achieve operational efficiency and sustainability goals. Moreover, our results confirm that banks practising green innovation strategies experience better environmental and economic performance as the employees of these banks have received advance green human resource training. Finally, our study found that internal and external green supply chain management practices have a positive impact on banks' environmental and financial performance, which confirms that ASEAN banks contributing in reduction of environmental impact through its operations will ultimately experience increased financial performance.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.463-474
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• 2020

This study aims to investigate the impact of COVID-19 pandemic on the stock markets of sixteen countries. Pooled OLS regression, conventional t-test and Mann-Whitney test are used to estimate the results of the study. We construct a weekly panel data of COVID-19 new cases and stock returns. Pooled OLS estimation result shows that the growth rate of weekly new cases of COVID-19 negatively predicts the return in stock market. Next, the returns on leading stock indices of these countries during the COVID-19 outbreak period are compared with returns during the non-COVID period. We use a t-test and Mann-Whitney test to compare the returns. The results reveal that investors in these countries do not react to the media news of COVID-19 at the early stage of the pandemic. However, once the human-to-human transmissibility had been confirmed, all of the stock market indices negatively reacted to the news in the short- and long-event window. Interestingly, we noticed that the Shanghai Composite Index, which was severely affected during the short-event window, bounced back during the long-event window. This indicates that the Chinese government's drastic measures to contain the spread of the pandemic regained the confidence of investors in the Shanghai Stock Market.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권4호
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• pp.1807-1823
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• 2016

Local Binary Pattern (LBP) and its variants have powerful discriminative capabilities but most of them just consider each LBP code independently. In this paper, we propose sub oriented histograms of LBP for smoke detection and image classification. We first extract LBP codes from an image, compute the gradient of LBP codes, and then calculate sub oriented histograms to capture spatial relations of LBP codes. Since an LBP code is just a label without any numerical meaning, we use Hamming distance to estimate the gradient of LBP codes instead of Euclidean distance. We propose to use two coordinates systems to compute two orientations, which are quantized into discrete bins. For each pair of the two discrete orientations, we generate a sub LBP code map from the original LBP code map, and compute sub oriented histograms for all sub LBP code maps. Finally, all the sub oriented histograms are concatenated together to form a robust feature vector, which is input into SVM for training and classifying. Experiments show that our approach not only has better performance than existing methods in smoke detection, but also has good performance in texture classification.