The impact of employment stability on production efficiency:A stochastic frontier approach
| Autor: | Cheng-Wei Lai, 賴政維 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 The purpose of this study is to investigate the influence of employment stability on Taiwanese company’s production efficiency after Global Financial Storm, using 574 companies listed on Taiwan Stock Exchange from 2009 to 2016 as selected sample to conduct the regressions and observations. The employment stability in this study is divided into "coefficient of variation of employment stability" and "employee turnover rate" according to cross-sectional and panel data types. Among them, 574 cross-sectional data were used to measure the coefficient of variation of employment stability, and 4158 panel data were used to measure employee turnover. We apply stochastic frontier approach as our research methods. In the regression of the study, the net operating income is shown as the output, and the main input projects are fixed asset investment, number of workers, and production cost. In the technical inefficiencies, the explanatory variables are measured by the "coefficient of variation of employment stability" and the "employee turnover rate", respectively. Other control variables are the ratio of total assets, debt to assets, average seniority of employees, average age of employees, the proportion of employees with high school degree and the proportion of employees with master or doctoral degree. The result noted that coefficient of variation of employment stability has no significant effect on company production efficiency, but the higher turnover rate of employees has an even more negative effect on productivity. In addition, higher investment in fixed assets would contribute to the output results. Higher total corporate assets and debt-to-asset ratio has a positive impact on production efficiency. However, an increase in labor input may cause a negative impact on output. With the respect of human capital, more employees with high school degree and master or doctoral degree would have a negative impact on productivity. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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