• 제목/요약/키워드: Education Loans

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대학교육비 지불원천에 관한 분석 - 소득, 저축, 학자금대출의 사용여부와 사용액 (Financing Sources for College Education - Demands of Current Incomes, Savings, and Education Loans)

  • 차경욱;정순희
    • 가정과삶의질연구
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    • 제24권5호
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    • pp.251-270
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    • 2006
  • This study examined how the households used and combined financing sources to pay for college education. It compared the probability of using each source (current incomes, saving, education loans and grants) by households' socio-economic characteristics and analyzed which factors influence the decision to use each source and the amounts from each source for financing college education. Data for this study were from a questionnaire completed by 4-year college students (n=623) and were analyzed by t-tests, ANOVA and Heckman's two-step estimation models. The findings of this study were as follows: First, the most frequent source for college education was parents' savings and the second one was parents' incomes. Also, the most frequent combination of sources was saving and current incomes and the second was combination of three sources, saving, incomes and education loans. Second, the probability of using incomes was higher for younger students than for older students. The number of siblings showed significant differences among income, savings and education loans. Those who had higher incomes were more likely to use current incomes, saving, but less likely to borrow for financing college education. Middle-class income groups were more likely to borrow for education. Third, household incomes and asset holdings had generally positive impacts on the probability of using incomes and savings for college education, while total debt burden decreased both the probability and amounts of income and saving sources. The college costs had significantly positive effects on both the probability and the amounts of all of financing sources. Total grants received significantly decreased the amounts from incomes, savings and borrowing sources.

La Educación desde la Perspectiva del BID. Análisis Descriptivo de Una Década: 2010-2019

  • Ceron, Manuel Sanchez
    • 이베로아메리카
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    • 제23권2호
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    • pp.243-271
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    • 2021
  • The influence of international organisms in education has already been documented by research; nevertheless it is necessary to study and deep in the different mechanisms used to direct the education policies in Latin America. At this point, this study describes and analyzes this phenomenon based in a review of the annual informs of the Interamerican Development Bank (IDB) and the research realized by this financial instrument in the last decade. The article presents three parts: the first one, analyses the importance of the United States in the IDB's financial policy; the second one, describes the Bank loans to educational polities; and the third one, identifies the mechanisms uses this financial institution to intervene in education policies. Finally the article presents some conclusions.

대학교육 지원체계의 합리화 방향 - 소득연계식 학자금융자제도를 중심으로 - (Toward Optimal System of Financial Support for Higher Education)

  • 윤정열
    • 노동경제논집
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    • 제37권4호
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    • pp.89-112
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    • 2014
  • 본고는 사회적 형평성과 효율성의 관점에서 직접지원(grant)과 소득연계상환식 학자금융자(ICL)를 결합한 정부의 바람직한 대학교육 지원체계를 이론적으로 제시한다. 교육투자 위험이 큰 경우에는 소득연계상환식 학자금 융자(ICL)가 일반적 학자금 융자에 비해 지원 수혜자의 초기 소득과 관계없이 바람직함을 보인다. 그리고 그 조달 방식이나 운영에 있어서는 민간 자본시장을 통해 위험 프리미엄을 포함하는 대출이자로 조달하는 것보다는 정부에 의한 조세조달 방식이 적정함을 주장한다. 현행 학자금 융자제도가 ICL을 초기 소득 수준별로 선별적으로만 도입하고 있어 개선이 필요하다는 점과 ICL의 현행 조세조달 방식을 정당화하고 있다는 점에서 본고는 일정부분 정책적 함의를 갖는다.

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Formal versus Informal Credit: Which is Better in Helping Rural Areas in Vietnam?

  • TRUONG, Thi Hoai Linh;LE, Thi Nhu Quynh;PHAN, Hong Mai
    • The Journal of Asian Finance, Economics and Business
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    • 제7권5호
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    • pp.119-130
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    • 2020
  • The study seeks to evaluate the impacts of three types of credit - formal, semi-formal, and informal credits - on the well-being of households in Vietnam's rural areas. Based on data from the Vietnam Household Living Standard Surveys in 2014 and 2016, the research uses the instrumental variable fixed-effect models to estimate the effects of three kinds of credit on household's per capita income and expenditure. There are some significant findings. First, in rural areas, formal credit is the most popular source with stable and cheap borrowing costs. Informal credit is a complement to formal credit to meet urgent needs. Funding agriculture activities is the most commonly cited purpose of borrowing, followed by purchasing assets. The highest misuse rate belongs to the group of loans for agriculture production. Second, the results show that credit helps smoothen consumption rather than generate income for rural households. Three types of credit have insignificant or negative effects on household's per capita income. Formal loans significantly improve total expenditure and spending on healthcare and education. Informal and semi-formal credits show a little influence on consumption. Informal loans have a significantly positive effect on healthcare expenditure. In contrast, having semi-formal loans tends to decrease spending on foods.

A customer credit Prediction Researched to Improve Credit Stability based on Artificial Intelligence

  • MUN, Ji-Hui;JUNG, Sang Woo
    • 한국인공지능학회지
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    • 제9권1호
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    • pp.21-27
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    • 2021
  • In this Paper, Since the 1990s, Korea's credit card industry has steadily developed. As a result, various problems have arisen, such as careless customer information management and loans to low-credit customers. This, in turn, had a high delinquency rate across the card industry and a negative impact on the economy. Therefore, in this paper, based on Azure, we analyze and predict the delinquency and delinquency periods of credit loans according to gender, own car, property, number of children, education level, marital status, and employment status through linear regression analysis and enhanced decision tree algorithm. These predictions can consequently reduce the likelihood of reckless credit lending and issuance of credit cards, reducing the number of bad creditors and reducing the risk of banks. In addition, after classifying and dividing the customer base based on the predicted result, it can be used as a basis for reducing the risk of credit loans by developing a credit product suitable for each customer. The predicted result through Azure showed that when predicting with Linear Regression and Boosted Decision Tree algorithm, the Boosted Decision Tree algorithm made more accurate prediction. In addition, we intend to increase the accuracy of the analysis by assigning a number to each data in the future and predicting again.

방글라데시 해안지대 기후변화에 따른 영세 어업인 생계 위험 경감 방안 (Livelihood Risk Reduction for Artisanal Fisheries Communities due to Climate Change in Coastal Area of Bangladesh)

  • 강경미
    • 한국수산과학회지
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    • 제56권3호
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    • pp.341-346
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    • 2023
  • This study aimed to suggest an alternative income generation (AIG) for local artisanal fisheries communities in the southern coastal area of Bangladesh, which is vulnerable to climate change. To analyze the problems of local artisanal fisheries caused by climate change, field surveys and in-depth interviews with fishermen and government officials were conducted. Livelihood risk factor (LRF) in the marine fishing sector included reduction of fishing days and fish production and damage to fishing vessels and fishing gear due to cyclone and sea-level rise. LRF in the aquaculture sector included cultured fish escape, reduction of aquaculture production, and water pollution due to Monsoon flood. A common challenge for two sectors was high interest rate on commercial loans. Small-scale tank aquaculture is recommended as AIG for securing income of artisanal fisheries communities. In the early stages of dissemination of small-scale tank aquaculture technology, it is necessary to prevent fishermen from struggling to repay high-interest rate loans through technology transfer and facility support by official development assistance. The aquaculture training center, along with the technical education, will also contribute toward expansion of local distribution network and marketing support to establish a value chain for local artisanal fisheries communities.

Factors Affecting the Extent of Economic Empowerment of Women in Farm Households: Experiences from Rural Bangladesh

  • Parveen, Shahnaj;Leonhauser, Ingrid-Ute
    • International Journal of Human Ecology
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    • 제9권2호
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    • pp.117-126
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    • 2008
  • The study identifies gender stereotypes, examines the level of women's economic empowerment at the household level and explores the influence of factors on it. Data were collected from 159 randomly selected farm women using both qualitative and quantitative survey methods between January and March 2007 from three villages of the Mymensingh District of Bangladesh. Four key informants (2 local leaders and 2 development personnel) were questioned to elicit views in the light of boosting women's empowerment. Five constructs of empowerment covering 30 indicators were aggregated together to develop a cumulative economic empowerment index (CEEI) to obtain multidimensional views of women's empowerment. The findings show that there were some prejudices against women in allocating divisions of labour and access to education, food, property, decision-making and institutions. The distribution of the CEEI demonstrates that the majority of the respondents (86%) had a low to moderate level of empowerment. A multiple regression analysis showed positive significant effects of education, training, media contact and freedom of mobility on women's CEEI, while domestic abuse restrained it. It is concluded that interventions by development agencies in co-ordination with the local community was necessary to attain women's self-reliance in the study area. Development actors can undertake some core strategies to enhance women's level of awarencess, knowledge, skills, and productive resources through providing training, loans, and information. To change traditional beliefs, it is important to create awareness of various gender issues amongst rural people through different methods and media.

FTA 국내보완대책의 평가와 과제: 농·축산업분야를 중심으로 (Evaluation and Tasks of FTA Domestic Supplementary Measures in the Area of Agriculture and Livestock Industry)

  • 이병문;정희진
    • 무역상무연구
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    • 제77권
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    • pp.215-237
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    • 2018
  • This study closely examines domestic supplementary measures implemented for Free Trade Agreements (FTA) concerning the agriculture and livestock industry and finds out their problems and put forward improvement measures in terms of their system and contents. The systematic problems with previously established supplementary measures are as follows. First, the existing short and long term measures does not comply with each FTA's special and unique economical, political and legislative purpose. Secondly, they focus on improvements for individual FTAs. They must be holistic and integrative considering all FTAs, thus producing synergy to reach better policy overall. Lastly, FTA policies and the measures must reflect the expanding size and scope of regional economic integration. Problems or concerns in existing supplementary measures include first, flexible financing. The government hands out loans to players in the industry based on assets but these loans must be flexible to market interest changes and must include reduced mortgage rate options. Secondly, rigid standards that trigger direct loss prevention, establishing maximum and minimum loan limits, and developing a comprehensive standard for identifying crops to support are all problems that need to be addressed. Thirdly, education of next and future agricultural generation is paramount in building a competitive workforce. Fourthly, the government must identify industries lacking in performance or short in supply to cease or reducing funding. Last but not least, the government should actively search for new markets for export and produce long term road maps for export growth.

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지속가능한 금융포용성과 소셜임팩트 증진 제언 연구: 미국 온라인 대출 플랫폼 내 중저신용자 데이터를 중심으로 (Research on Sustainable Financial Inclusion and Social Impact : Analyzing Credit Thin Filer Data from U.S. Online Loan Platform)

  • 남건욱;김지호;손가은;이한진
    • 문화기술의 융합
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    • 제10권3호
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    • pp.467-474
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    • 2024
  • 본 연구는 미국 온라인 대출 플랫폼의 고객 데이터를 분석하여 중저신용자가 금융시장 내에서 겪는 차별적 대우를 실증적으로 규명한다. 이 연구는 오픈소스 캐글(Kaggle) 플랫폼 내 랜딩 클럽 금융사의 2007~2020년 기간 약 293만 건의 금융 데이터를 사용하여, 특히 신용점수가 낮은 씬파일러 대출자들이 더 높은 이자율로 대출을 받고 있음을 밝혀냈다. 이러한 차별적 대우는 금융 포용성을 저하시키며 사회적 불평등을 심화시킬 가능성을 시사한다. 본 연구를 통해 금융시장에서의 불평등 문제를 실질적으로 드러낸 점이 중요한 의의로 주목되며, 분석결과를 바탕으로 모든 고객에게 합리적인 금융 접근성을 보장할 수 있을 것이다. 아울러 지속가능한 금융 포용성을 강화할 수 있는 구체적인 방안과 함께 금융기관의 사회적 책임을 강화하는 방향으로의 전환을 제안하였다.

System Dynamics Modeling Approach for Manpower Planning and Policy Analysis

  • Ro, Kong-Kyun
    • 한국경영과학회지
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    • 제3권2호
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    • pp.75-90
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    • 1978
  • The objective of this paper is to demonstrate how System Dynamics Approach may be used to develop new ways of analyzing and projecting manpower requirements and resources. For this purpose, a System Dynamics Model is presented as an example. An examination of the model will show that a System Dynamics modeling approach is an innovative and useful tool for manpower policy analysis and planning. Second, with minor modifications, the model may be used for manpower policy analysis and planning for any skilled personnel in Korea. For example, a similar model nay be built for engineers to analyze the effects of alternative policies about engineering education, sur as the number of available places in the various institutions of training, scholarships and loans, and the duration of training. An engineer's model may also be used to make the projections of the supply and requirements of engineers in the future according to various alternative assumptions where each assumption represents a policy option.

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