• Title/Summary/Keyword: objective economic level

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Analysis of Sociopsychological Interest Factors in Antique(Yi-dynasty) Furniture for Modern Living (고가구에 대한 현대인의 사회 심리적 관심 요인 분석)

  • 윤복자
    • Journal of the Korean Home Economics Association
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    • v.17 no.2
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    • pp.39-47
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    • 1979
  • The objective of this study was to examine antique furniture in the cultural tradition. Through a survey of use and interest in antique furniture for modern living. the methodology included a review of literature in order to determine characteristics of wood furnitures of the Yi-dynasty. A survey of use and interest in antique furniture for modern living was also conducted. The study of interest in antique furniture was limited to five factors of sociopsychological variables : traditional, aesthetic , status symbolic ,economic, and fashionable. Questionnaires were given to the randomly selected men and women in Seoul. Data from 289 respondents were analyzed by $X^{2}$, analysis of variances and correlation. The results were 1) Wood furniture of the Yi-dynasty continued to be of practical usefulness, Antique furniture, therefore, had multiful functional , practical , and aesthetic usefulness in modern living. 2) Interest in antique furniture today was not related to possession or nonpossession, age, and occupation but was related to educational level and socioeconomic status. Suggestions for further research include the study of the organized history of Korean furniture in form, color, materials , and texture. And also included the use additional factors in further research on the study of interest in antique furniture.

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Daily Unit Commitment Scheduling of Power System with Energy Storage System (전력저장장치를 고려한 일간 최적 기동정지계획 수립연구)

  • Song, Ha-Na;Jang, Se-Hwan;Kim, Hyeong-Jung;Roh, Jae-Hyung;Park, Jong-Bae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.4
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    • pp.717-725
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    • 2011
  • In the power system with an electric storage system that can increase utilization rate of the source of such new renewable energy, this paper introduces the approach on the daily unit commitment scheduling that determines simultaneously optimum operational condition and output of thermal generators and electric storage device. The unit commitment is one of the most important issues in economic operation and security of short-term operational plan of the power system. It is to determine on/off status of generator to minimize operational cost during the given period. The committed generator should satisfy various operational limitation such as estimated demand by system, spinning reserve condition within minimum operational cost. In order to determine on/off or charge/discharge/idle condition and output level of units and electric storage system, the MILP(Mixed Integer Linear Programming) is suggested. The proposed approach is the mixed method between LP(Linear Programming) and IP(integer programming) which seeks the value of real number and integer that maximize or minimize function objective within given condition. The daily unit commitment problem with the electric storage system is applied to MILP algorithm through linearization and formulation process. The proposed approach is applied to the test system.

Financial Development, Income Inequality and the Role of Democracy: Evidence from Vietnam

  • NGUYEN, Hung Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.21-29
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    • 2021
  • The objective of this study is to see how a country's level of democracy impacts the relationship between financial development and income disparity. We argue that political regimes, supported by their degree of democracy, are important for various decentralization theories to predict the impact of financial development on income inequality. Our study tests this argument using Vietnam time series data for the period 2000-2020 through the ARDL model. The financial development variable is represented by five proxies, the income inequality variable is represented by the GINI coefficient and the role of democracy is represented by the Freedom House Index. Data serving for the study is taken from data sources with high reliability. The results of the study have strong evidence that (1) financial development has a positive impact on income inequality, (2) democratic government will reduce national income inequality. (3) And a higher degree of democracy tends to mitigate the positive impact of financial development on income inequality. Thus, our study contributes to the literature by providing a new look at the mixed results regarding the relationship between financial development and theoretical income inequality. Finally, the article provides policy implications for the Government of Vietnam.

Measuring the efficiency and determinants of rice production in Myanmar: a translog stochastic frontier approach

  • Wai, Khine Zar;Hong, Seungjee
    • Korean Journal of Agricultural Science
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    • v.48 no.1
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    • pp.59-71
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    • 2021
  • This study investigated the extent to which rice producers from the Ayeyarwaddy Region of Myanmar could improve their productivity if inputs were used efficiently in rice cultivation. To achieve this objective, simple random sampling was used to collect data from 300 rice growers in the study area. Data were analyzed with the translog stochastic frontier approach to understand the production efficiencies. The study further estimated the influencing factors that affect the efficiency levels of rice farmers. The empirical result reveals that the average technical, allocative, and economic efficiencies were at 76.11, 47.85, and 34.15%, respectively. This suggests that there is considerable room for improving rice production by better utilization of the available resources at the current level of technology. This study suggests that strenthening agricultural training programs and adoption of improved rice varieties may reduce overall inefficiencies among rice farmers in Myanmar. Factors like age, household size, education, farming experience, farm size, rice variety, training, and off-farm income have a significant impact on increasing/decreasing farmer's efficiency. Efficiency can be improved by establishing farmer field school programs to increase the scale of operations. The government should encourage young educated people to participate in paddy production and also intervene to reduce input prices and control the quality of seeds.

Effects of Bank Macroeconomic Indicators on the Stability of the Financial System in Indonesia

  • VIPHINDRARTIN, Sebastiana;ARDHANARI, Margaretha;WILANTARI, Regina Niken;SOMAJI, Rafael Purtomo;ARIANTI, Selvi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.647-654
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    • 2021
  • This study examines the non-performing loans of rural banks and macroeconomic factors in Indonesia, including inflation, exchange rates, and interest rates. Theoretically, the existence of erratic macroeconomic conditions can affect the level of non-performing credit risk in rural credit banks in Indonesia. The effect of macroeconomic conditions on non-performing loans has a different response for each economic sector. The main objective of this study is to determine the effect of macroeconomic factors (inflation, exchange rates, and interest rates) and bank-specific factors (credit) on the Non-Performing Loans (NPL) of Rural Banks in Indonesia for the period from January 2015 to December 2018. This study uses a Vector Error Correction Model (VECM) estimation to determine the effect of independent variables consisting of macroeconomic factors and bank-specific factors. Based on the estimation results of the Vector Error Correction Model, three variables that have a positive and significant effect on long-term non-performing loans are credit, inflation, and interest rates. Meanwhile, in the short term, there are only two variables that have a positive and significant effect on non-performing loans, namely, credit and interest rates. Inflation and exchange rate variables have a negative and insignificant effect on bad credit in the short term.

The Influence of Parenting Attitudes and Conversation Hours Between Parent and Child on Children's Happiness (아동의 행복감에 대한 부모양육태도 및 부모와 대화시간의 영향)

  • Mun, Ye Eun;Lee, Joo-Yeon
    • Korean Journal of Childcare and Education
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    • v.17 no.1
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    • pp.85-104
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    • 2021
  • Objective: This study examined the main effects and interaction effect of parenting attitudes and conversation hours between parent and child, by focusing on parental influence among factors impacting children's happiness. Methods: This study used the data from 2,578 fourth grade elementary school students from the first waves of the Korean Child Youth Panel Study(KCYPS) 2018. The data were analyzed using correlation analysis and stepwise regression analysis. Results: First, there was a significant corelation between children's happiness and socio-economic variables such as parental education level, family's income, and family type. Second, it was found that the main effect of all sub-factors of parenting attitude and conversation hours between parent and child on children's happiness was statistically significant. Third, only the interaction effect between structural parenting attitude and parent-child conversation hours was statistically significant. That is, children who had more conversations with parents with structural parenting attitudes providing guidelines ware reported to be particularly happy. Conclusion/Implications: This study is meaningful in examining overall quantitative and qualitative effects of the relationship between parent and child to understand parental factors impacting children's happiness.

Factors related to non-use of interdental care products by Korean adolescents (우리나라 청소년의 치간관리용품 미사용에 관한 요인)

  • Seong-Chan Park;Sun-Young Han
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.6
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    • pp.513-520
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    • 2022
  • Objectives: The objective of the study was to investigate the factors related to non-use of interdental care products (ICP) in adolescents. Methods: The 2019 Korean Youth Risk Behavior Web-based Survey was used, examining 57,303 subjects. Complex-sample chi-square test and logistic regression analyses were performed to identify differences in ICP according to sociodemographic characteristics and oral health behavior and to determine the factors related to non-use. Results: The ICP non-use rate was 70.9%. Factors related to the non-use of ICP were middle or low economic status (OR=1.367 and 1.677). The other significant variables were less than one tooth brushing per day (OR=1.542), no scaling within 12 months (OR=1.631), and receiving dental treatment either once or two times or more (OR=1.757 and 2.195). Conclusions: To increase the ICP usage rate, continuous attention is needed from schools and families in addition to interventions at the national level.

Stock Market Reaction to the COVID-19 Pandemic: Evidence from Kuwait

  • AL-MUTAIRI, Abdullah;AL FALAH, Abdullah;NASER, Hani;NASER, Kamal
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.3
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    • pp.327-335
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    • 2022
  • The purpose of this study is to examine the Kuwaiti Stock Exchange's (KDE) response to the COVID-19 pandemic and the precautions taken by Kuwaiti authorities to protect their citizens and other residents. To achieve this objective, daily data from four different indexes published by the Kuwait Stock Exchange (KSE) for the period between 24 February and 30 June 2020, as well as daily data on the number of people infected with COVID-19, the daily number of recovered people, the daily number of deaths, lockdown days, and days the country was under curfew. The findings show a significant positive association between the daily recovery of persons infected by COVID-19 and all indexes published by the KSE except for the Boursa Kuwait Main Market 50, where the association was positive but insignificant. A negative and significant association was also found between the closure of the country and each of the four indexes. Although the curfew imposed by the Kuwaiti authorities at an early stage of the pandemic appeared to have a negative effect on the four indexes, the level of association was statistically significant only in the cases of the Main Market index and Boursa Kuwait Main Market 50 index.

Efficiency of Analysis Agricultural R&D Program by Data Envelopment Analysis (DEA를 이용한 농림 R&D 사업의 효율성 분석)

  • Jun-Hyun Kim;Bong-Soo Lee;Jae-Kyung Kim
    • Korea Trade Review
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    • v.45 no.1
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    • pp.47-64
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    • 2020
  • For the past few years, the Korean government has been consistently expanding its national research & development budget to accelerate economic growth through technology innovation and the enhancement of international competitiveness in global markets. The objective of this paper is to define the concept and analyze the current status of national R&D programs by measuring R&D efficiencies. We determine R&D efficiency by reflecting inputs and outcomes of the five main agricultural R&D programs between 2010 to 2015, and by categorizing and regrouping figures that may affect R&D performance. Among 1,128 targeted projects, 832 projects with patents and thesis were selected for analysis in terms of measuring technology efficiency, pure technology efficiency, and efficiency of scale. Also, the Kruskal-Wallis test was also utilized as well. As a result of empirical analysis, figures that affected the efficiency level of national R&D programs included differences in research resources, research management levels and skills, and research field. This study can be utilized as a reference for re-establishing national agricultural R&D policies, such as enhancement of national technology competitiveness in the global market environment, improving and adapting to new agricultural conditions, market expansion, national agricultural R&D efficiency, aging rural population, agricultural management cost increase, and climate change mitigation.

Nuclear energy, economic growth and CO2 emissions in Pakistan: Evidence from extended STRIPAT model

  • Muhammad Yousaf Raza;Songlin Tang
    • Nuclear Engineering and Technology
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    • v.56 no.7
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    • pp.2480-2488
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    • 2024
  • Pakistan is a developing country whose maximum amount of mixed energy is provided by electricity, oil, coal, and gas. The study objective is to analyze the six major social factors to describe the significance of nuclear energy and CO2 emissions at the decisive point coming from income, trade, energy, and urbanization. This study has tried to analyze the impact of different factors (i.e., fossil energy, GDP per capita, overall population, urban population, and merchandise trade) on Pakistan's CO2 emissions using the extended STRIPAT model from 1986 to 2021. Ridge regression has been applied to analyze the parameters due to the multicollinearity problem in the data. The results show that (i) all the factors show significant results on carbon emissions; (ii) population and energy factors are the huge contributors to raising CO2 emissions by 0.15% and 0.16%; however, merchandise and GDP per capita are the least contributing factors by 0.12% and 0.13% due to import/export and income level in Pakistan, and (iii) nuclear energy and substitute overall show a prominent and growing impact on CO2 emissions by 0.16% and 0.15% in Pakistan. Finally, empirical results have wider applications for energy-saving, energy substitution, capital investment, and CO2 emissions mitigation policies in developing countries. Moreover, by investigating renewable energy technologies and renewable energy sources, insights are provided on future CO2 emissions reduction.