完整后设资料纪录
DC 栏位 | 值 | 语言 |
---|---|---|
dc.contributor.author | 陈祝平 | en_US |
dc.contributor.author | Alex Chu-Ping Chen | en_US |
dc.contributor.author | 洪志洋 | en_US |
dc.contributor.author | Dr. Chih-Young Hung | en_US |
dc.date.accessioned | 2014-12-12T01:23:25Z | - |
dc.date.available | 2014-12-12T01:23:25Z | - |
dc.date.issued | 2003 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT009065518 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/40735 | - |
dc.description.abstract | 传统的财会报表已经无法完整而正确的表达存在于市场价值与帐面净值差值之无形资产价值。而身处于知识经济时代,无形资产评价的重要性不但与日俱增且刻不容缓。因此,本文引用美国官方认可之“超额盈余资本化法”作为无形资产测度的方法,采用台湾经济新报(TEJ)资料库所收录之台湾上市公司(包含水泥等十三项产业)1991年至2002年的财会报表及年终股价资料为样本,以纵横资料模式(Panel Data)之实证分析检定企业价值、经济盈余及有形资产净值之相关性;为避免实务上以经验值替代所造成之谬误,透过计算其资本化率(有形资产合理报酬率(Ra)及适当的超额盈余直接资本化率(Cg)),进而获致企业无形资产价值。 根据研究结果显示: 1、 包含水泥、食品、纺织、电线电缆、化学、钢铁及资讯电子等七项产业,经济盈余及有形资产净值之组合对企业价值已经具有解释能力。而其他包含塑胶、机电、陶瓷玻璃、造纸、橡胶及汽车等六项产业,经济盈余及有形资产净值之组合对企业价值不具有解释能力,亦即除了经济盈余及有形资产净值之外,还有其他自变数尚未考虑。 2、 包含食品、塑胶、纺织、化学、钢铁、橡胶及汽车等七项产业经由Ra及Cg去计算无形资产价值是具有意义的;相对的,其他包含水泥、机电、电线电缆、陶瓷玻璃、造纸及资讯电子等六项产业,由于经济盈余之系数(B1)未达到显着水准(p valve > 0.05),因此我们无法经由上述两项资本化率去计算其无形资产价值。 3、 包含食品、塑胶、纺织、化学、钢铁、橡胶及汽车等七项产业之Ra皆小于Cg,这符合Ra必须加上风险溢酬以反映无形资产具有较高风险的特性。 4、 除了化学产业之外,其余六项Ra及Cg具有意义的产业(包含食品、塑胶、纺织、钢铁、橡胶及汽车等)其Ra皆为负值,亦即不需股东的资金投入有形资产的投资即可获得报酬,我们可以解释为市场并不会要求从有形资产获得报酬,而可以从其他的方式(例如租税或投资抵免的优惠)获取补贴,这并不符合社会大众对于资讯电子产业更是具有此项特性的预期。 5、 由于资讯电子产业之Ra及Cg不具讨论意义,因此无法继续进行该产业之无形资产价值之计算,也无法与其他产业之资本化率进行比较,因此无法检定社会大众对于资讯电子产业能产生较高的无形资产价值以及资讯电子产业所处环境风险较传统产业为高的预期。 6、 经由超额盈余资本化法计算包含食品等七项产业无形资产价值之结果,无形资产价值占企业整体价值之比率最高的产业为食品产业。这与食品产业除了生产制造的本质之外,与近年来来自服务(e化、例如宅配运输)的Know-how成为竞争的关键有关。无形资产价值占企业整体价值之比率(不及五成)最低的两个产业为化学(甚至为负数,其原因为有型资产报酬率Ra为正数)与钢铁产业,这与此两种产业的本质皆偏重于不断投入资金于建厂生产、甚少有其他创造营收的本质有关。 | zh_TW |
dc.description.abstract | The traditional financial statements can not reflect the value of intangible asset completely and correctly that exist between the difference of market-value and book-value. In this so-called knowledge-based economy, the measurement of intangible asset is getting important and necessary. The purpose of this thesis is to apply the capitalized excess earnings method for measuring the value of intangible asset for Taiwan’s listed firms. This method was first introduced and mandated by the Treasury Department of the United States government. Financial data for all listed firms in Taiwan over the period from 1991 to 2002 were collected and analyzed. Panel data regression models were then proposed and tested. The results of our study showed that seven industries of food, plastic, textile, chemistry, steel, rubber and automobile can be calculated the value of intangible asset. The second, the Ra of these seven industries is less than Cg, it matched the fact that Ra has to add premium to reflect the higher risk of intangible asset. In addition, the highest ratio that intangible asset’s value to firm’s total value is belonged to food industry; on the other hand, the lowest two industries for this ratio are chemistry and steel. | en_US |
dc.language.iso | zh_TW | en_US |
dc.subject | 无形资产 | zh_TW |
dc.subject | 超额盈余资本化法 | zh_TW |
dc.subject | 纵横资料模式 | zh_TW |
dc.subject | 有形资产合理报酬率 | zh_TW |
dc.subject | 适当的超额盈余直接资本化率 | zh_TW |
dc.subject | Intangible Assets | en_US |
dc.subject | Capitalization Excess Earnings Method | en_US |
dc.subject | Panel Data | en_US |
dc.subject | Ra | en_US |
dc.subject | Cg | en_US |
dc.title | 超额盈余资本化法之实证研究-以台湾上市公司为例 | zh_TW |
dc.title | An Empirical Examination of the Capitalized Excess Earnings Method-The Case of Taiwan Stock Market | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 管理学院科技管理学程 | zh_TW |
显示于类别: | Thesis |