• Title/Summary/Keyword: Financial Factors' Characteristic

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Influence Analysis of Investor Preference for Investment Satisfaction Degree on Decision Making of Real Estate Investment (부동산 투자의사결정에 있어 투자자 선호특성이 투자만족도에 미치는 영향 분석)

  • Paek, Jun-Seok;Kim, Gu-Hoi;Lee, Joo-Hyung
    • The Journal of the Korea Contents Association
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    • v.16 no.3
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    • pp.553-562
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    • 2016
  • Then, it investigated the investment preference through the previous studies to analyze the influence factor of investment satisfaction and demonstrated the effects through the PLS (Partial Least Squares) regression. In addition, it separated the target type to institutional investors and retail investors and carried out the survey for comparing the investment preference of investor type. The result of analysis found out that institutional investors emphasis on investment preference such as the Inflation hedge, Early payback, Financial stability, Leverage risk and etc. Then, general investors emphasis on investment preference such as the Rental income, Facilities and Equipment, Business area and population, Ease of use, Leverage risk, Early payback and etc. In addition, common investment preferences are the Leverage risk, Early payback and Facility accessibility.

Analysis for Survival Factors in the Cultural Contents Industry (문화콘텐츠산업의 생존요인에 관한 분석)

  • Kim, Tae-Hun
    • The Journal of the Korea Contents Association
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    • v.12 no.2
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    • pp.255-264
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    • 2012
  • This paper analyzes the survival rate of small & medium size-cultural contents industry, which includes printing, broadcasting, advertising, entertainment, other manufactures, and so on, by using survival analysis. In this article, after testing significance among characteristic factors and survival rate and hazard rate were estimated The results of the analysis are as follows: There are some significants differences among industries in details. Also there are some significants differences by region, by the number of employees, by financial status, and working periods of CEOs. The contribution of this study is to apply the method of survival analysis to the cultural contents industry in Korea.

A Study on Incoming International Students' Immigration Process and Backgrounds (외국인 유학생의 이주과정과 배경에 관한 연구)

  • Ahn, Young-Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.4
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    • pp.344-363
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    • 2009
  • The number of International college students has dramatically increased in Korea since 2000 as the government has made a consistent effort to draw in international students to strengthen the competitiveness of higher education and to improve the international balance of payments. An increase of incoming international students help Korean universities solve a current problem of decreasing student numbers and bring financial benefits. However, not much is known about their intentions and decision-making process. This study tries to investigate their immigration process and backgrounds that have not yet been dealt with seriously in academic areas. The immigration process can be divided into 3 steps - pre-immigration, settlement and adaptation, post-immigration. Characteristic of each step related to a main decision-making are investigated in the paper. Their decision for studying in Korea depends on various factors and conditions. Especially, economical, personal, and vocational factors or motives in combination influence their decision-making at each step.

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The Study on the Determinant - Factors of the Budget for the Aged Welfare - Focused with the Local Governments of Cities & Counties in Jeollabukdo - (노인복지예산의 결정요인에 관한 연구 - 전라북도 시·군 자치단체를 중심으로 -)

  • Kim, Sung Soo
    • 한국노년학
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    • v.28 no.4
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    • pp.907-923
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    • 2008
  • The main purpose of this paper is to analyse the determinant factors affecting the budget for welfare of the aged. This study employs the statistical data of fourteen different cities and counties of local government in Jeollabukdo. According to the analysis, in the county, the rate of the aged and populations of social-economic factors and the number of public officials of political-administrative factors turned out to be important influencing of budget for the aged welfare. However, incrementalism has no validity of statistics. Also, In the fiscal factors, estimated expenditures in per capita influenced a negative effect on the budget of the aged welfare. As the results of this research, the policy implications are suggested as follows. First, in order to reduce the gap of the aged welfare service between regions, the greater subsidy is provided by government and the budget of the aged welfare is enlarged positively. Second, as the considering regional characteristic, the higher ratio of the aged, the greater budget of the aged welfare is enlarged, especially in the county. Third, the budget of the aged welfare has to be regarded by the number of public officials.

Analysis on Factors Influencing Welfare Spending of Local Authority : Implementing the Detailed Data Extracted from the Social Security Information System (지방자치단체 자체 복지사업 지출 영향요인 분석 : 사회보장정보시스템을 통한 접근)

  • Kim, Kyoung-June;Ham, Young-Jin;Lee, Ki-Dong
    • Journal of Intelligence and Information Systems
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    • v.19 no.2
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    • pp.141-156
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    • 2013
  • Researchers in welfare services of local government in Korea have rather been on isolated issues as disables, childcare, aging phenomenon, etc. (Kang, 2004; Jung et al., 2009). Lately, local officials, yet, realize that they need more comprehensive welfare services for all residents, not just for above-mentioned focused groups. Still cases dealt with focused group approach have been a main research stream due to various reason(Jung et al., 2009; Lee, 2009; Jang, 2011). Social Security Information System is an information system that comprehensively manages 292 welfare benefits provided by 17 ministries and 40 thousand welfare services provided by 230 local authorities in Korea. The purpose of the system is to improve efficiency of social welfare delivery process. The study of local government expenditure has been on the rise over the last few decades after the restarting the local autonomy, but these studies have limitations on data collection. Measurement of a local government's welfare efforts(spending) has been primarily on expenditures or budget for an individual, set aside for welfare. This practice of using monetary value for an individual as a "proxy value" for welfare effort(spending) is based on the assumption that expenditure is directly linked to welfare efforts(Lee et al., 2007). This expenditure/budget approach commonly uses total welfare amount or percentage figure as dependent variables (Wildavsky, 1985; Lee et al., 2007; Kang, 2000). However, current practice of using actual amount being used or percentage figure as a dependent variable may have some limitation; since budget or expenditure is greatly influenced by the total budget of a local government, relying on such monetary value may create inflate or deflate the true "welfare effort" (Jang, 2012). In addition, government budget usually contain a large amount of administrative cost, i.e., salary, for local officials, which is highly unrelated to the actual welfare expenditure (Jang, 2011). This paper used local government welfare service data from the detailed data sets linked to the Social Security Information System. The purpose of this paper is to analyze the factors that affect social welfare spending of 230 local authorities in 2012. The paper applied multiple regression based model to analyze the pooled financial data from the system. Based on the regression analysis, the following factors affecting self-funded welfare spending were identified. In our research model, we use the welfare budget/total budget(%) of a local government as a true measurement for a local government's welfare effort(spending). Doing so, we exclude central government subsidies or support being used for local welfare service. It is because central government welfare support does not truly reflect the welfare efforts(spending) of a local. The dependent variable of this paper is the volume of the welfare spending and the independent variables of the model are comprised of three categories, in terms of socio-demographic perspectives, the local economy and the financial capacity of local government. This paper categorized local authorities into 3 groups, districts, and cities and suburb areas. The model used a dummy variable as the control variable (local political factor). This paper demonstrated that the volume of the welfare spending for the welfare services is commonly influenced by the ratio of welfare budget to total local budget, the population of infants, self-reliance ratio and the level of unemployment factor. Interestingly, the influential factors are different by the size of local government. Analysis of determinants of local government self-welfare spending, we found a significant effect of local Gov. Finance characteristic in degree of the local government's financial independence, financial independence rate, rate of social welfare budget, and regional economic in opening-to-application ratio, and sociology of population in rate of infants. The result means that local authorities should have differentiated welfare strategies according to their conditions and circumstances. There is a meaning that this paper has successfully proven the significant factors influencing welfare spending of local government in Korea.

Effect of transaction characteristic factors of logistics companies on performance and long-term transaction intention (물류기업의 거래특성요인이 성과 및 장기거래의도에 미치는 영향)

  • Chung, Yeon-Joo
    • Journal of Korea Port Economic Association
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    • v.38 no.1
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    • pp.1-14
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    • 2022
  • The change in the management environment of the logistics industry in the era of global competition is becoming an era in which customers choose companies. Differentiation from competitors through the provision of products and services suitable for customers As customers' choices change depending on their superiority, companies are constantly striving to receive or retain customers' choices. Ultimately, this competitive structure can be seen as the importance of long-term relationship building. Therefore, in this study, we examined how factors related to transaction characteristics performed by logistics companies for customer satisfaction in the transaction relationship between cargo companies and shippers affect performance and long-term transaction intentions. First, we derived the factors of logistics service, cost, logistics infrastructure, and company competency, which are transaction characteristics factors of a logistics company that must be specifically realized for customer satisfaction in transactions between logistics companies. Second, we analyzed how the transaction characteristics factors of a logistics company affect the company's performance, and finally, how the company's performance factors affect long-term transaction intentions. As a result of empirical analysis, there were no statistically significant results on the relationship between transaction characteristics and performance of logistics companies, which can be attributed to the small size of the logistics companies that were the sample. In other words, logistics companies that do not have sufficient capacity to provide services at low prices have no choice but to engage in constant bleeding competition. It can be seen that it reflects the characteristics of the industry. On the other hand, the relationship between corporate performance factors and long-term transaction intention was found to have a positive relationship. The higher the level of partnership with logistics companies and visible financial performance is, the higher the transaction will be in the future, and the more the transaction volume will be gradually increased. And even if it costs a little more, it can be seen that the intention to continue trading is greatly expressed.

Factors and Categorization of Perception toward Social Capital for Korean Older Adults (한국 노년층의 사회자본에 대한 인식 유형화 및 영향요인)

  • Hong, Seokho;Hwang, Sunyoung;Kim, Soon Eun
    • 한국노년학
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    • v.37 no.3
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    • pp.707-726
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    • 2017
  • Korea is proceeding to aging society at much faster pace than other countries. To alleviate various problems (health, environment, social relationships, psychology and emotion, and financial problems) of the elderly caused by aging society, there has been increasing attention to social capital. This study investigated types of ways that the elderly at individual level are aware of social capital and the characteristic. In addition, factors that influence the types were studied. Data from 1060 elderly with the age of 65 and older were collected in Korea. Excluding missing data on variables used in the study, data of 960 elderly were used for analyses. K-mean cluster analysis was conducted to investigate types of elderly awareness on social capital at individual level. Multinominal logistic regression was used to find out factors of the types. K-mean cluster analysis resulted in three types of awareness on social capital among the elderly: (1) potential of social capital; (2) severance of social capital; and (3) wealth of social capital. Multinominal logistic regression resulted in that compared to potential of social capital type, when the elderly were younger, inclination of politics was more progressive, they did not have religion, they did not reside in rural, and they did not live in multiplex housing, the elderly were more likely to be in severance of social capital type. Also, when the elderly were women, had higher education and standard of living, were Christian, and did not reside in rural regions. they tended to be in wealth of social capital type. Based on the study results about awareness on social capital among the elderly and factors related to the awareness types, practical and political suggestions that promote social capital to solve problems of the elderly were provided.

Promoting the Sales of Regional Specialty Products through Local Festivals in Rural Korea (지역문화행사를 통한 전통산물 판매활성화 방안)

  • Kim Mi Heui;Park Duk Byeong;Ahn Yoon Soo;You Myoung Nim;Jeong Hyun Young
    • The Korean Journal of Community Living Science
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    • v.15 no.4
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    • pp.127-136
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    • 2004
  • Local fairs are often part of the economic development strategy of rural areas. This study aims to find out marketing strategies for promoting the sales of regional specialty products through local festivals in rural Korea. The data were collected in late 2003 (from a sample of interviews and surveys from 351 visitors. The data were analyzed using the SPSS computer program. The results were as follows; First, the factors that visitors were considered in purchasing were quality (49.5%), commemorative value (36.9%), and reliability (33.0%). And the top reasons cited for not buying were lack of distinction (45.1%) and high prices (26.6%). The discount rates expected in markets was 16.8%. Second, 49.8% of visitors has spent over 10,000 won and their purchase pattern has been for themselves and their family. Third, the public organizations for certi(ication for visitors were the National Agricultural Cooperative Fedration (37.9%) and the Ministry of Agriculture and Forestry (MAF) (22.5%). In conclusion, it was important for local stakeholders to provide more locally-manufactured, seasonal and traditional food, and to plan more locally characteristic events for their fairs. Further recommendations have included having a guide showing pricing and quality standards for products bought at rural fairs, developing product ideas for inducing impulse purchases, active promotion and marketing at event sites, and setting a standard system of warranties on products under the certification of the local authorities and with the financial support of the MAF Such recommendations were aimed at increasing the sale of traditional and regional specialty products at local festivals.

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Landslide risk zoning using support vector machine algorithm

  • Vahed Ghiasi;Nur Irfah Mohd Pauzi;Shahab Karimi;Mahyar Yousefi
    • Geomechanics and Engineering
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    • v.34 no.3
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    • pp.267-284
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    • 2023
  • Landslides are one of the most dangerous phenomena and natural disasters. Landslides cause many human and financial losses in most parts of the world, especially in mountainous areas. Due to the climatic conditions and topography, people in the northern and western regions of Iran live with the risk of landslides. One of the measures that can effectively reduce the possible risks of landslides and their crisis management is to identify potential areas prone to landslides through multi-criteria modeling approach. This research aims to model landslide potential area in the Oshvand watershed using a support vector machine algorithm. For this purpose, evidence maps of seven effective factors in the occurrence of landslides namely slope, slope direction, height, distance from the fault, the density of waterways, rainfall, and geology, were prepared. The maps were generated and weighted using the continuous fuzzification method and logistic functions, resulting values in zero and one range as weights. The weighted maps were then combined using the support vector machine algorithm. For the training and testing of the machine, 81 slippery ground points and 81 non-sliding points were used. Modeling procedure was done using four linear, polynomial, Gaussian, and sigmoid kernels. The efficiency of each model was compared using the area under the receiver operating characteristic curve; the root means square error, and the correlation coefficient . Finally, the landslide potential model that was obtained using Gaussian's kernel was selected as the best one for susceptibility of landslides in the Oshvand watershed.

The Impact of Block Chain Characteristics on the Intention to Use Hotel Reservation System in China (중국에서의 호텔예약 시스템의 블록체인 특성이 사용의도에 미치는 영향)

  • JIN, Peng-Ru;LEE, Jong-Ho
    • The Journal of Industrial Distribution & Business
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    • v.10 no.8
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    • pp.33-44
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    • 2019
  • Purpose - As the scope of existing digital transformation expanded to various degrees, the Fourth Industrial Revolution came into being. In 2016, Klaus Schwab, Chairman of the World Economic Forum (WEF), said that the new technologies that lead the fourth industrial revolution are AI, Block chain, IoT, Big Data, Augmented Reality, and Virtual Reality. This technology is expected to be a full-fledged fusion of digital, biological and physical boundaries. Everything in the world is connected to the online network, and the trend of 'block chain' technology is getting attention because it is a core technology for realizing a super connective society. If the block chain is commercialized at the World Knowledge Forum (WKF), it will be a platform that can be applied to the entire industry. The block chain is rapidly evolving around the financial sector, and the impact of block chains on logistics, medical services, and public services has increased beyond the financial sector. Research design, data, and methodology - Figure analysis of data and social science analytical software of IBM SPSS AMOS 23.0 and IBM Statistics 23.0 were used for all the data researched. Data were collected from hotel employees in China from 25th March to 10th May. Results - The purpose of this study is to investigate the effect of the block chain characteristics of the existing hotel reservation system on the intention to use and to examine the influence of the block chain characteristics of the hotel reservation system on the intention to use, We rearranged the variables having the same or similar meaning and analyzed the effect of these factors on the intention to use the block chain characteristic of the hotel reservation system. 339 questionnaires were used for analysis. Conclusions - There are only sample hotel workers in this study, and their ages are in their 20s and 30s. In future studies, samples should be constructed in various layers and studied. In this study, the block chain characteristics are set as five variables as security, reliability, economical efficiency, availability, and diversity. Among them, Security and reliability made positive effects on the perceived usefulness. Also, security and economics did on the perceived ease. Availability and diversity did on both perceived usefulness and perceived ease. Perceived ease did on perceived usefulness. And perceived ease and perceived usefulness did on user intent. But security and economics did not on the perceived usefulness