• STI Policy Review
• /
• v.1 no.4
• /
• pp.21-28
• /
• 2010

This study analyzes the establishment of venture companies and the interaction of venture ecosystem components (the core factors of venture ecosystems) with a focus on venture companies, venture capital, and the return market. Government support policies are understood as a catalyst for the venture ecosystem and this study will analyze the implications of government involvement by identifying the role of government policies in the venture ecosystem. According to the results of the empirical analysis with data on confirmed venture businesses by the Small and Medium Business Administration (SMBA), policies that provide direct support to venture companies did not have a significant influence on the establishment of new ventures. However, new investments by venture capital show a statistically significant positive effect and signify that the new investment is an important factor in vitalizing the establishment of new venture businesses and that the economic conditions of the return market have a positive effect. The establishment of venture businesses responds to the changes in real and vertical markets with greater resilience compared to government policies. Given the unique nature of the Korean venture ecosystem that responds to the market with greater resilience than government policies, there must be increased efforts to recover the confidence of the capital markets for venture capital in order to promote improved efficiency.

• Korea journal of population studies
• /
• v.9 no.1
• /
• pp.32-40
• /
• 1986

The purpose of the paper is to examine the nature of population distribution during the past 25 years; to evaluate effect of population redistribution policies which have been adopted by the government; and to suggest desirable future policy directions. The distinctive features of population distribution during the period of 196O~85 can be summarized as progress of rapid urbanization, decrease of absolute number of rural population and heavy concentration of population in the Seoul metropolitan area which have resulted in population maldistribution among regions. The problem of population concentration in the selected one or two large urban centers was first recognized by the government as early as in 1964. Since then numerous policy measures have been adopted to reduce the population concentration into the Seoul metropolitan area and thus to guide a sound population redistribution among regions. The overall assessment of various policies on population redistribution, however, revealed that the effect of the policy efforts has not been great as they originally anticipated. Various reasons can be cited for the failure of the past policies. Among them the followings were frequently mentioned; lack of integration among policy measures; weak linkage between relocation and accommodation; and non-existence of single authority for overall implementation of the polices. Based on the past experiences the followings are suggested in pursuing future policies. First, the short-term objective or target should be clearly defined. Second, policy measures have to be designed to go with rather than against market forces. Third, indirect incentives or aids are more effective than direct controls or regulations. Fourth, local participation has to be secured in every phase of policy formulation and implementation.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.35-42
• /
• 2020

This study aims to investigate the relationship between the variables of Current Ratio (CR), Return-on-Equity (ROE), Return-on-Assets (ROA), Debt-to-Equity Ratio (DER), and Firm Size (FS) on Dividend Policy (DP) in real estate and property companies listed on the Indonesia Stock Exchange in the period 2016-2019, looking at nine real estate companies in Indonesia. The research methodology uses an explanatory analysis approach and linear regression. Based on the eligibility and homogeneity of the data, the number of sample companies selected was nine companies. The company's financial statement data derived from primary data obtained on the Indonesia Stock Exchange, such as current ratio (CR), return-on-equity (ROE), return-on-assets (ROA), debt-to-equity ratio (DER) and firm size and dividend policy variables. The data analysis procedure is first to transform financial data from the original ratio data into interval data and, then, transform it to ordinal data. Furthermore, the validity and reliability process are ignored because the data is primary. Finally, regression testing is part of the hypothesis testing stage. The results of this study showed that the CR, ROE, and firm size had no positive and significant effect on dividend policy. In contrast, DER and ROA have a positive and significant impact on dividend policy.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.37 no.1
• /
• pp.60-67
• /
• 2014

This paper considers an inbound ordering and outbound dispatching problem for multi-products and multi-vehicles in a third-party distribution center. The demands are dynamic over a discrete and finite time horizon, and replenishing orders are shipped in various transportation modes and the freight cost is proportional to the number of vehicles used. Any mixture of products is loaded onto any type of vehicles. The objective of the study is to simultaneously determine the inbound lot-sizes, the outbound dispatching sizes, and the types and numbers of vehicles used to minimize total costs, which consist of inventory holding cost and freight cost. Delivery time window is one of the general dispatching policies between a third-party distribution center and customers in practice. In the policy, each demand of product for a customer must be delivered within the time window without penalty cost. We derive mixed integer programming models for the dispatching policy with delivery time windows and on-time delivery dispatching policy, respectively and analyze the effect on a dispatching policy with delivery time windows by comparing with on-time delivery dispatching policy using various computational experiments.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.9
• /
• pp.39-47
• /
• 2022

This study explored the effectiveness of the measures taken by the Jordanian Central Bank embedded in its monetary policy in encouraging banks to support investment. It aimed to explore the impact of this monetary policy on supporting credit-related decisions and the monetary policies that aim to support investment in Jordan. The targeted tools of the monetary policy are: (Overnight Deposit Window Rate, money supply, and exports). The researchers carried out an analysis to measure the effectiveness of the monetary policy in fostering investment in Jordan during the period 1992-2020. They carried out the time series analysis. They explored the stationarity of the time series. They used the ARDL model. It was found that the Overnight Deposit Window Rate has a negative significant effect on the gross fixed capital formation. It was found that the money supply has a positive insignificant effect on gross fixed capital formation. The researcher recommends using Overnight Deposit Window Rate in a manner that is consistent with the intended investment-related goals.

• Journal of Digital Convergence
• /
• v.18 no.10
• /
• pp.147-162
• /
• 2020

The purpose of this study is to present practical improvement plans for policy fund support in national policy banks through an analysis of the efficiency of policy fund support. It targets small and medium-sized enterprises(SMEs) that received policy funding from national policy banks in '17 and '18 consecutively. As for the analysis method, characteristic analysis and corresponding sample T-test was performed. The analysis results are as follows. First, as a result of analyzing the characteristics of small and medium-sized enterprises, most of the financial funds were concentrated on the manufacturing industry. By region, the western region of Gyeonggi Province, by credit rating, was A grade, technology grade was T5, and the use of funds was mostly concentrated on facility funds. Second, as a result of efficiency analysis, profitability had a positive effect on total capital return, stability had a positive effect on interest compensation ratio, and activity had a positive effect on total capital turnover. In conclusion, it is expected to provide practical improvement plans to support policy funds to influence the growth and distribution of funds appropriate to the needs of SMEs.

• Korean System Dynamics Review
• /
• v.1 no.1
• /
• pp.29-56
• /
• 2000

During the past few years, cyberspace and electronic commerce has been expanding throughout the world rapidly. The purpose of this paper is to find out policy leverages for boosting up cyberspace and electronic commerce using system dynamics simulation modeling approach. The system dynamics simulation model developed in this paper allows analysis of both the effect of factors on dynamic growth pattern of cyberspace as well as the effect of time delay in information processing, money transfer and delivery on model behavior. Finding of this study is that capacity of information infrastructure and size of cyberspace population are key factors of cyberspace growth. Also, reducing time delay in information flow, money flow, and delivery flow is an important policy leverages for growth of electronic commerce.

• Journal of Industrial Convergence
• /
• v.2 no.1
• /
• pp.3-22
• /
• 2004

The purpose of this study is to examine the relationship between discretionary policy for minor shareholders and the firm value. It is assumed that the favorable dividend policy for minor shareholders would affect the firm value positively. The empirical results have indicated that the favorable dividend policy for minor shareholders has a positive affect on the firm value, also it show the proportion of inside equity holders and the proportion of management equity holders have significant effect on the firm value.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.2
• /
• pp.235-251
• /
• 2020

This study aimed to confirm the quality of exhibitions and the effectiveness of government's policy support for small and medium-sized companies seeking to help companies expand overseas marketing and improve their performance through participation in overseas exhibitions. For the purpose of empirical analysis, the survey was conducted directly to exhibitors of companies participating in overseas exhibitions with the support of government for three years from 2016 to 2018. As a result, the quality characteristics of overseas exhibitions had a significant positive influence on re-participation intention, and the influence was the most important in organizer's capacity, followed by exhibition reputation and exhibition environment. In addition, quality characteristics had a significant effect on participation performance, and participation performance had a partial mediating effect on re-participation intention. The government's policy support had a significant moderating effect between participation performance and re-participation intention, and the conditional indirect effect (adjusted mediating effect) on the effect of quality characteristics on re-participation intention through participation performance. This study has an academic significance in confirming the mediating effect of participation performance and the moderating effect of government policy support.

• Korean System Dynamics Review
• /
• v.13 no.4
• /
• pp.57-80
• /
• 2012

This research studies effect of FDA regulations in pharmaceutical industry on new drug development. System dynamics is implemented to demonstrate dynamic relationship between FDA regulations and R&D costs, firm's profits, sales. This research is focused on clinical trials of new medical entity process 50~60% portion of total development cost. Simulation results say that firm's profit is more sensitive to increasing the regulation than alleviating the regulation and effect of regulation policy make different result depending on the intensity of regulation and policy direction. Our simulation model provides the instrumental means for the policy makers and strategic decision in pharmaceutical industry.