Search Result of "Indebtedness"

About 6 results
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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา สังคมศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Causal Factors Influencing Indebtedness of Undergraduate Students in Bangkok)

ผู้เขียน:ImgPhonphat Intaravorraphat, Imgดร.สิรีรัตน์ เชษฐสุมน, อาจารย์, Imgดร.ผ่องพรรณ ตรัยมงคลกูล, รองศาสตราจารย์

สื่อสิ่งพิมพ์:pdf

Abstract

Household debt has become a national crisis in Thailand. Among college students, it was found that student loan debt has increased in recent years. The situation is getting worse when the students are involved in non-student loan debt. This study investigated the causal factors influencing non-student loan indebtedness of undergraduate students in Bangkok. Using a multi-stage sampling technique, a sample size of 1,601 undergraduate students was randomly selected from five universities in Bangkok. A structural equation model was developed to explore the pattern of relationships among the aforementioned factors. As a whole, the amount of debt was positively influenced by expected future income after graduation, student expenditure, perceived utility of a bachelor's degree, consumerism behavior, attitude towards economic situation, financial stress, household income, attitude towards indebtedness, and student’s purchasing power (assets, total savings, and income), in rank order. On the other hand, the amount of debt was negatively influenced by competency on the Philosophy of Sufficiency Economy, the student's financial learning, savings per month, perceived utility of saving money, and financial management, in rank order. All these causal factors accounted for 41 percent of the variance explained by the amount of debt (R2= 0.41, p <.05).

Article Info
Kasetsart Journal of Social Sciences -- formerly Kasetsart Journal (Social Sciences), Volume 035, Issue 1, Jan 14 - Apr 14, Page 1 - 15 |  PDF |  Page 

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา สังคมศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Factors and Conditions Influencing Saving Behaviors of College Students: A Case Study of Suan Dusit Rajabhat University)

ผู้เขียน:ImgPhonphat Intaravorraphat, ImgPhitcha Buayeam, Imgศาลินา วงษ์ไทย, ImgThiamphop Kanloung, Imgภูวน อุ่นจันทร์, ImgNatagon Woraurai, ImgBenyapa Phiphatpawan

สื่อสิ่งพิมพ์:pdf

Abstract

This research was conducted during the recession period of Thailand?s economy in the first quarter of 2010. A survey and follow up with in-depth and focus-group interviews were employed to explore factors and conditions that influenced the saving behavior of college students. A purposive sample was selected from Suan Dusit Rajabhat University. It was found that the factors and conditions influencing the saving awareness of the sampled college students were: 1) the family economic situation reflecting the microeconomic situation, 2) the macroeconomic recession reflecting future employment uncertainty for the students, and 3) future money capital demanded from present savings with negative attitudes toward indebtedness. It was further found that the factors and conditions influencing the real savings of the students were: 1) saving awareness and positive attitudes toward savings, 2) adequate level of personal income to support saving latency, 3) sufficient and regular amounts of money transferred from the student?s family to create financial management competency for the student, and 4) self financial management skills and experiences. In addition, financial knowledge is important for college students to maintain and increase their level of saving in the long run.

Article Info
Kasetsart Journal of Social Sciences -- formerly Kasetsart Journal (Social Sciences), Volume 033, Issue 1, Jan 12 - Apr 12, Page 55 - 66 |  PDF |  Page 

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ผลงานตีพิมพ์ในวารสารวิชาการ

Application of logistic regression analysis to household debt of bangkok and metropolitan area of Thailand

ผู้แต่ง:ImgIntarapak, S., ImgDr.Thidaporn Supapakorn, Assistant Professor,

วารสาร:

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Researcher

ดร. ธิดาพร ศุภภากร, ผู้ช่วยศาสตราจารย์

ที่ทำงาน:ภาควิชาสถิติ คณะวิทยาศาสตร์

สาขาที่สนใจ:Regression Analysis, Generalized Mixed Model, Bayesian Analysis

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