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Abstract - Can Stronger Family Connections Alleviate the Adverse Effects of Unemployment on Happiness? Evidence from Asian Countries
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Abstract: This study aims to investigate whether and how the family connection is critical to alleviate the negative effect of unemployment on people’s happiness by employing the World Values Survey data set regarding people in Chinese culture-related regions for empirical work. Empirically, we found family connections constitute a crucial factor in determining people’s happiness level. Except for living with parents, other family variables are positively significant in the happiness determination equation. Taking related measurements for family connections in the happiness determination equation is important in reducing estimation bias. Moreover, family connection reduces the fear of being unemployed and psychological losses from recession due to the worsening of job opportunities in economy. Stronger family connections can facilitate overcoming the stress and fear of being unemployed during recessions. Among the family-related variables, considering family important is of the largest marginal effect in alleviating the adverse effects of unemployment on happiness. This finding is robust among various age cohorts and between genders and among different model specifications. However, the ability of family connection to alleviate the adverse effect of unemployment on the happiness level of an unemployed worker is supported less by the data. We found that certain types of family connections might diminish the happiness of unemployed people, although the regression results are of no statistical significance. Those types of family connections include living with parents and considering family a crucial part of life. Keywords: Family connection, unemployment, happiness, Asian countries. |
Abstract - The Impacts of Working Conditions and Employee Competences of Fresh Graduates on Job Expertise, Salary and Job Satisfaction
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Abstract: This study explores the factors that have critical impacts on job expertise and further analyses on how the jobs affect salary and job satisfaction. Job seekers consider the working conditions when seeking jobs. However, he/she will acquire an ideal job or not, it depends on his/her employee competences. The former is his/her job demands and expectations and the latter is the ability he/she has. These two factors determine his/her job expertise which further influences the salary and job satisfaction. The data are collected from those new graduates who entering the workforce from Taiwan's universities in 2009 and structural equation modeling is applied for data analysis. Three findings are presented. First of all, the correlation coefficient is 0.40 which indicates strong relationship when it comes to the relation of employee competences and working conditions. Secondly, employee competences have significantly positive impacts on job expertise, salary and job satisfaction. However, working conditions have significantly negative impacts on salary. Finally, job expertise has significantly positive impacts on salary and job satisfaction but salary has no significant impacts on job satisfaction. Keywords: Working conditions, employee competences, job satisfaction, labor market, structural equation modeling (SEM). |
Abstract - Evaluation Indicators and Development Strategies of Agricultural Revitalization for Rural Rejuvenation
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Abstract: The goal of rural rejuvenation is to establish newly regenerated rural villages via economic development and beautification. However, it is necessary to engage agriculture in rural areas as a basis to reach the goal. In order to effectively promote agricultural development, the objective of this study is to develop the related indicators as evaluation criteria. A modified Delphi method is applied to develop the questionnaire. The indicators are divided into two categories: requirement and implementation evaluation indicators. This implies indicators in both sides should be considered simultaneously for effectively promoting agricultural development. There are four dimensions, consisting of twelve items, which are included in requirement indicators. The four dimensions are to (1) activate agricultural production (2) to promote agricultural marketing (3) to construct the distinguishing features of rural life and culture, and(4) to develop leisure agriculture and rural village experiences. The implementation indicators are comprised of five dimensions including 21 items. The five dimensions are (1) community factors (2) human resource factors (3) local resource surveys (4) environmental and facilities planning, and (5) government subsidies and guidance. To determine the relative importance sequence of the target evaluation indicators, the fuzzy analytic hierarchy process (FAHP) is applied to calculate the weight for each item. Then, the quality function development method (QFD) is adopted to explore the relative importance sequence of implementing indicators. Based upon the important items of evaluation indicators, this study proposes the development strategies recommended for the agricultural authority. Keywords: Rural rejuvenation, agricultural revitalization, evaluation indicators,fuzzy analytic hierarchy process,quality function development method. |
Abstract - The Effects of Leisure Agricultural Experience Activities on Satisfaction: Empirical Evidence from Different Tourist Styles in Taiwan
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Abstract: Leisure agricultural activities play an important role in rural tourism. The research presented in this research was used to investigate the impression of leisure agricultural activities on different groups of tourists. Using the four dimensions of the Experience Economy suggested by Pine and Gilmore (1999), this research analyzes the impacts of entertainment, educational, aesthetic, and escapism experiences on tourist satisfaction. The data used in the study were gathered by surveying 374 tourists in the leisure agricultural area of Lugu township in central Taiwan. By using factor analysis and cluster analysis, tourists in this study were categorized into two groups, namely, a ‘deep experience group’ and ‘moderate experience group,’ based on the degree to which they experienced the activities. Through the use of a structural equation model, the empirical results indicated that the correlation between the activities experienced and the degree of satisfaction were distinctive for each group of tourists. Keywords: Leisure tourism, Experience economy, Structural equation model, Experience Activities. |
Abstract - Pros and Cons of the Impact Factor in a Rapidly Changing Digital World
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Abstract: The purpose and novlty of the paper is to present arguments for and against the use of the Impact Factor (IF) in a rapidly changing digital world. The paper discusses the calculation of IF, as well as the pros and cons of IF. Editorial policies that affect IF are examined, and the merits of open access online publishing are presented. Scientific quality and the IF dilemma are analysed, and alternative measures of impact and quality are evaluated. The San Francisco declaration on research assessment is also discussed. Keywords: Impact Factor, Quality of research, Pros and Cons, Implications, Digital world, Editorial policies, Open access online publishing, SCIE, SSCI. |