Journal of Agricultural Extension & Community Development
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v.27
no.3
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pp.135-144
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2020
The aim of this study is to analyze the factors affecting rural tourists' expenditure. This study used the data from the fact-finding survey on rural tourism, and analyzed 4,223 cases who had experienced rural tourism for one year in 2018. The linear multiple regression analysis were used to identify factors affecting rural tourists' expenditure. The result indicate that the factors influencing the rural tourists' total expenditure were age, monthly income, number of accompany, length of stay, accommodation type(pension), accommodation type(friend's house/relatives'house), accommodation type(camping), distance to the destination, accompany(family/relatives), accompany(solo traveler), occupation(white color), motivation(daily escape and rest), motivation(new experience). The result indicate that the higher the age, the higher the average monthly income of the household, the fewer companions, the longer the length of stay higher the expenditure. As for the accommodation, the pension, motel/inn, hotel/condominium, and recreational forest higher probability of expenditure, while, friend/relative's house or camping higher the probability of less expenditure. The longer the distance to the destination, the solo traveler higher the probability of expenditure in rural tourism.
The present trend is to classify time as a human resource. Time is considered as a human resource and refers not only to "clock time" that man possesses in equal amounts, but also to person's characteristic methods of assimilating and perceiving the passage of time. People differ in their ability to gauge the passage of time or to estimate the amount of time that an activity will take. The time used for household work by homemaker was analysed in that viewpoint. Specially the aim of this study was to find and analyse any differences from the style of house, the kind of fuel for cooking, the system of the family, the age and educated degree of homemaker and income degree. For analysis useable responses of 247 returned were used. The conclusion is as follows. 1. Homemakers spent 11.8∼13.4 hours for household work for a day. 2. Husband contributed 1∼1.4 hours, daughters and sons 0.6∼2.4 hours for household work a day. 3. There were large differences of the time spent on all food activities and care of clothes by the style of house and kitchen and the kind of fuel for coking. 4. The homemaker who has many children and preschool children spent much time for preparing the meal and care of clothes than others. 5. High educated homemaker spent less time for household work than others. 6. There are not any differences between time spent and income. 7. There are not also differences between time spent and having household equipment. It is assumed that many household equipment in the house aren't used effectively.
Journal of Wellbeing Management and Applied Psychology
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v.3
no.1
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pp.21-31
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2020
As people's income rises dramatically, people's happiness seems not as high as expected. In fact, there are two different arguments about the relationship between income level and happiness. The focus of the debate is whether the correlation between income and probability of happiness is positive or negative. Therefore, we hypothesizes that the relationship between income and probability of happiness presents an inverted U-shaped curve. Then, this paper sets China as an example to explore the effect of income on happiness. The data from the Chinese General Social Survey (CGSS) in 2015 is employed to conduct empirical analyses under the Probit model and the Zero-Inflation-Passion model. The empirical findings indicate that the effect of income on happiness presents an inverted U-shaped curve and significantly in statistic. Meanwhile, spouse's income, educational level, marriage time and house property have a positive and significant effect on happiness. Conversely, age and local living standards have a negative and significant effect on happiness. Unfortunately, even though registered residence and children have a negative effect on happiness, they do not get through the significant test. In order to ensure the robustness of our empirical results, we test the robustness of the above empirical results by adjusting the sample size. The results of robustness test verify that our empirical results are robust. Moreover, this paper also makes a small contribution to the current literature with a sample from China.
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.
The purpose of this paper is to estimate the farming product function of rural women and to determine the effect of human capital. The data was based on 300 husbands and wives from 150 farms with crops of high female input time rate such as house-cucumbers, house-strawberries, roses, agaric mushrooms and apples in 2003. According to the results, the rural women were mainly engaged in harvesting, selecting, sorting and packing among about 23 working steps in the Korean farm. These works require a long time for the highly-skilled and have a very important and sensitive effect on quality, quantity, price of products and the farm's income. The cultivated experience and the major cultivation step effect had a positive relationship to farm's income for women. The machine effect was estimated significantly at 0.3976, which indicated that the high-skilled farmers have a positive correlation to farm's income. The rural women's labor value has been evaluated relatively lowly compared with men performing the same work. As an example, women are paid an average of 62.3% of the men's wage in harvesting and packing in Korea.
This study aimed to examine the needs for the planning of group homes for the elderly with dementia in lower income class, who have more economic burden on the caring the demented aged. The survey was conducted by questionnaires collected from 300 respondents from December 2000 to March 2001. Methods of analysis were frequency distribution, mean and chi-square test. The results of this study were as follows: 1) The respondents perceived that the responsibility to take care of the elderly with dementia belonged to their family, not to society or the government, and the sons and daughters had to share the burden placed on care-givers. 2) The awareness of group homes for dementia was relatively low. 3) The respondents' needs for the group homes with dementia could be summarized as follows; small scale plan with homelike atmosphere, a total of 6-8 residents, structural type of detached house or three-storied town house, 2-3 persons per individual room, and management system by non-profit organization or the government. There were no big differences between the respondents of this study and upper and middle class studies conducted by other research, except for some details. Referring to results of this study, it is asserted that group homes for the elderly with dementia would be embraced throughout the country if poetical assistance combined with economic support were provided.
The Journal of Korean Society for School & Community Health Education
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v.24
no.1
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pp.47-59
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2023
Objectives: The aim of this study was to identify risk factors of alcohol use disorder among Korean adults. Methods: Cross-sectional exploratory study based on data collected from Data from the 6th Korea National Health and Nutrition Examination Survey in 2015 were performed in this study. There were 3,248 participants who were 2,558 normal drinkers while 690 had alcohol use disorder. Decision tree analysis were used to exam socio-demographic and health-related factors to predict alcohol use disorder. Results: As a result of decision tree analysis, the predictive model for factors related to alcohol use disorder in Korean adults presented with 8 pathways. The significant predictors of alcohol use disorder were age, gender, smoking, marital status, and house income. Male smokers whose household income is 'high' or 'low' are most vulnerable to alcohol use disorders. Conclusions: This study indicates that need to consider health behavior and house income when we practice prevention policies and health education of alcohol use disorder.
The era of globalization has ushered in dramatic changes in the past decade covering a wide range of distinct political, economic and cultural trends whereby people adapt their houses to suit their needs and desires. This paper discusses the process of change analytically, emphasizing the importance of understanding the transformation of Lao traditional houses and its impact factors to the transformation and adaptation to suit with globalization trend, and conservation of the characteristics of traditional houses. This study takes place in Luangprabang, an ancient city of Lao PDR, which was designated as a world heritage city in 1995 as it is rich with diverse, tangible and intangible values. Five cases of traditional house in Luangprabang are examined to understand their transformation through time, by analyzing the basic spatial formation, components and elements, especially to find out the impact factors to such transformation. The study revealed that the transformation of the traditional house is subject to not just one single factor, but to a number of factors, where globalization, regulation, economy, and social aspect factors play a prime role and are the root for all these changes. The case study also indicates that these changes are connected to the benefits of income generation as a survival strategy for the low and middle-income people in Luangprabang as well as the housing demands. In the transition period a new residential type appeared accordingly, in which living spaces were categorized according to their general functions. There was a harmony between people's needs and the physical characteristics of the house.
Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.
The purpose of this study was to analyze the residential preferences, the type of house, the size of living space, and the region for later life and contributing factors to their housing plan. The sample in this study consisted of 572 aged couple living in Korea. Statistics employed for the analysis were frequencies, means, X2test, logit analysis and multiple regression. The results could be summarized as follows. They preferred 31.2 pyung as living space, the single detacted house(81.1%) and living in middle-small cities or rural area. The present living space, present living area, satisfaction of economic status had significant effects on the living space in later life. Those who had a plan to live in the single detached house were affected by husband's educational attaintment, the type of present house, present and future living region. And the factors affecting furture living region were present living region, household income, household expenditure, total asset and preferred housing type. The affecting factors were different from future residential preferences by occupation and health status.
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