由經濟附加價值(EVA)檢視產業間價值驅動因子之差異性

  隨著土地、勞力成本提高及開發中國家之競爭,台灣的傳統產業長期低迷不振,而美國「新知識經濟」效應,引伸出智慧資本的重要性,也使得投資人資金追逐具有未來憧憬的高科技股票,導致傳統產業發展陷入瓶頸。儘管現今高科技產業當道,但平心而論,不少傳統產業也曾是過去的新興產業,並造就台灣經濟奇蹟,在經濟發展史上不容忽視。職此,本研究以價值衡量觀點出發,以經濟附加價值(EVA)為公司價值之衡量指標,主要目的在探討傳統產業和高科技產業之價值驅動因子差異性。實證結果發現:(一)不論傳統或高科技產業,財務性價值動因皆為企業達成價值創造的主要因素。傳統產業若能提高銷貨成長率、增進營運資金使用效率、降低資金成本,皆有...

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Bibliographic Details
Main Author: 陳夢茹
Language:中文
Published: 國立政治大學
Subjects:
Online Access:http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22A2010000285%22.
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Summary:  隨著土地、勞力成本提高及開發中國家之競爭,台灣的傳統產業長期低迷不振,而美國「新知識經濟」效應,引伸出智慧資本的重要性,也使得投資人資金追逐具有未來憧憬的高科技股票,導致傳統產業發展陷入瓶頸。儘管現今高科技產業當道,但平心而論,不少傳統產業也曾是過去的新興產業,並造就台灣經濟奇蹟,在經濟發展史上不容忽視。職此,本研究以價值衡量觀點出發,以經濟附加價值(EVA)為公司價值之衡量指標,主要目的在探討傳統產業和高科技產業之價值驅動因子差異性。實證結果發現:(一)不論傳統或高科技產業,財務性價值動因皆為企業達成價值創造的主要因素。傳統產業若能提高銷貨成長率、增進營運資金使用效率、降低資金成本,皆有助創造企業價值。高科技產業如能妥善運用營運資金,亦能創造價值。資本支出在兩種產業中皆為價值創造之決定因素,然卻與預測方向不符。(二)智慧資本對傳統產業不具解釋力。高科技產業中,員工平均年齡較年輕、員工每人營收愈高,將提昇企業價值;而每名員工管理費用與預測方向不符。(三)不論傳統或高科技產業,財務性價值動因皆較智慧資本具解釋力,這可能因智慧資本指標不具代表性或與研究期間有關。但對於無形資產當道的新經濟時代,建議傳統產業可考慮將產業特性與科技結合,積極升級、轉型;高科技產業未來仍需就軟體與網路應用深耕發展,提昇科技人才素質及創新研發能力。最後,藉由發現影響企業價值的主要因素,企業應將此類攸關因素加以揭露,或以補充性報表表達,不但使企業更瞭解本身競爭優勢,協助管理當局進行價值管理與價值創造,也能幫助投資人更精確地評估企業價值。 ===   With the increasing costs of land and labor, also with the competitions from developing countries, traditional industries in Taiwan have depressed for a long time.「New Knowledge Economy」effects also reveal the importance of intellectual capital, making investors search for high-tech stocks; therefore, traditional industries fall into a bottleneck. The study uses EVA(Economic Value Added)as an enterprise value measure to explore the differences of value drivers between traditional and high-tech industries, finding the following results. First, financial value drivers are important variables to create value both in traditional and high-tech industries. These variables are SG(Sales Growth)、WC(Working Capital)and WACC(Weighted Average Cost of Capital)in traditional industries, and WC(Working Capital)in high-tech industries. CE(Capital Expenditure)is also a vital factor, but is opposite to hypotheses. Second, there's a significant association between intellectual capital variables and enterprise value of high-tch industries; nevertheless, appearing no significant reaction in traditional industries. In high-tech industries, ADE(Administrative Expense per Employee)、AEA(Average Employee Age)and SPE(Sales per Employee)are all value creative drivers, but ADE is in a reverse direction. Third, financial value drivers are more associated with enterprise value than non-financial value drivers(intelligent capital variables)in both industries, probably owing to the research period or the fact that intellectual capital variables aren't representative. However, we suggest traditional industries increase R&D expense to upgrade and high-tech industries expand to software or Internet field. Finally, the results recommend enterprises disclosure these value-creation drivers or express them in a supplementary statement.