The Relationship Between Capital Structure and Performance

碩士 === 東吳大學 === 會計學系 === 89 === In this paper, 93 electronic companies in Taiwan during 1985 to 1989 were selected to research the relationship between capital structure and operating performances. The agent variables of capital structure were: Retained-Earnings Ratio, Short-term Debts Ratio, Long-t...

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Main Authors: Lu Jar Rong, 呂佳蓉
Other Authors: James C. Chan
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/48538557464338618713
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spelling ndltd-TW-089SCU003850182015-10-13T12:10:00Z http://ndltd.ncl.edu.tw/handle/48538557464338618713 The Relationship Between Capital Structure and Performance 資訊電子業資本結構與經營績效關聯性之研究 Lu Jar Rong 呂佳蓉 碩士 東吳大學 會計學系 89 In this paper, 93 electronic companies in Taiwan during 1985 to 1989 were selected to research the relationship between capital structure and operating performances. The agent variables of capital structure were: Retained-Earnings Ratio, Short-term Debts Ratio, Long-term Debts Ratio, and Debts Ratio. Then, 11 performance variables were extracted from the four dimensions of Balanced-Scorecard as Cash-flow Adequacy Ratio, Sales Growth Ratio, Net Income Ratio, Return on Owners'''''''' Equity Ratio, Market Share Ratio, Sales Return Ratio, R&D Performance Ratio, Cash Flow Cycle, Warrant Expenses Ratio, Operating Revenue-per-employee, and Salaries-per-employee. Factor Analysis was used to split them into 4 groups, thus these groups were named Financial Performance Index, Innovation and Learning Performance Index, Customer Performance Index, and Internal Process Performance Index. Then, the new factor scores were used as independent variables of the multiple regression model, and the 4 capital structure ratio used as dependent variables. The statistics results of null hypotheses were as follows: (1)Reject the null hypothesis of "Retained- Earnings Ratio not affected by operating performances". To be more specific, Financial Performance Index and Internal Process Index were relevant to the Retained-Earnings Ratio, while Innovation and Learning Performance Index and Customer Performance Index were not. (2)Reject the null hypothesis of "Short-term Debts Ratio not affected by operating performances". To be more specific, Financial Performance Index, Innovation and Learning Performance Index, Customer Performance Index and Internal Process Index were all relevant to the Short-term Debts Ratio.(3) Reject the null hypothesis of "Long-term Debts Ratio not affected by operating performances". To be more specific, Financial Performance Index, Innovation and Learning Performance Index and Internal Process Index were all relevant to the Long-term Debts Ratio, While Customer Performance Index was not.(4) Reject the null hypothesis of "Debts Ratio not affected by operating performances". To be more specific, Financial Performance Index, Innovation and Learning Performance Index, Customer Performance Index and Internal Process Index were all relevant to the Debts Ratio. Besides, after using Balanced-Scorecard, the adjusted R2 of regression model was better than that only consisted of financial measurement index. This result shows that, adopting the performance index of Balanced-Scorecard to perform this study will truly improve the explanation ability, thus providing a better method than the traditional way. James C. Chan 詹乾隆 2001 學位論文 ; thesis 77 zh-TW
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description 碩士 === 東吳大學 === 會計學系 === 89 === In this paper, 93 electronic companies in Taiwan during 1985 to 1989 were selected to research the relationship between capital structure and operating performances. The agent variables of capital structure were: Retained-Earnings Ratio, Short-term Debts Ratio, Long-term Debts Ratio, and Debts Ratio. Then, 11 performance variables were extracted from the four dimensions of Balanced-Scorecard as Cash-flow Adequacy Ratio, Sales Growth Ratio, Net Income Ratio, Return on Owners'''''''' Equity Ratio, Market Share Ratio, Sales Return Ratio, R&D Performance Ratio, Cash Flow Cycle, Warrant Expenses Ratio, Operating Revenue-per-employee, and Salaries-per-employee. Factor Analysis was used to split them into 4 groups, thus these groups were named Financial Performance Index, Innovation and Learning Performance Index, Customer Performance Index, and Internal Process Performance Index. Then, the new factor scores were used as independent variables of the multiple regression model, and the 4 capital structure ratio used as dependent variables. The statistics results of null hypotheses were as follows: (1)Reject the null hypothesis of "Retained- Earnings Ratio not affected by operating performances". To be more specific, Financial Performance Index and Internal Process Index were relevant to the Retained-Earnings Ratio, while Innovation and Learning Performance Index and Customer Performance Index were not. (2)Reject the null hypothesis of "Short-term Debts Ratio not affected by operating performances". To be more specific, Financial Performance Index, Innovation and Learning Performance Index, Customer Performance Index and Internal Process Index were all relevant to the Short-term Debts Ratio.(3) Reject the null hypothesis of "Long-term Debts Ratio not affected by operating performances". To be more specific, Financial Performance Index, Innovation and Learning Performance Index and Internal Process Index were all relevant to the Long-term Debts Ratio, While Customer Performance Index was not.(4) Reject the null hypothesis of "Debts Ratio not affected by operating performances". To be more specific, Financial Performance Index, Innovation and Learning Performance Index, Customer Performance Index and Internal Process Index were all relevant to the Debts Ratio. Besides, after using Balanced-Scorecard, the adjusted R2 of regression model was better than that only consisted of financial measurement index. This result shows that, adopting the performance index of Balanced-Scorecard to perform this study will truly improve the explanation ability, thus providing a better method than the traditional way.
author2 James C. Chan
author_facet James C. Chan
Lu Jar Rong
呂佳蓉
author Lu Jar Rong
呂佳蓉
spellingShingle Lu Jar Rong
呂佳蓉
The Relationship Between Capital Structure and Performance
author_sort Lu Jar Rong
title The Relationship Between Capital Structure and Performance
title_short The Relationship Between Capital Structure and Performance
title_full The Relationship Between Capital Structure and Performance
title_fullStr The Relationship Between Capital Structure and Performance
title_full_unstemmed The Relationship Between Capital Structure and Performance
title_sort relationship between capital structure and performance
publishDate 2001
url http://ndltd.ncl.edu.tw/handle/48538557464338618713
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