透過您的圖書館登入
IP:18.223.32.230
  • 期刊

亞洲生技産業之總要素生産力解析-應用隨機邊界模型

Analyzing TFP of Asian Biotech Firms: Application of Stochastic Frontier Approach

摘要


人類基因體計畫於2003年完成人類基因解碼,開啟「後基因時代」的來臨。亞洲國家近幾年紛紛加速發展生技產業,擬定各項計畫、推動策略搶佔先機。本研究採用隨機邊界模型估計亞洲生物科技廠商之總要素生產力成長率,並進一步將其分解成技術變動成分、效率變動成分、規模成分,及探討各成分在總要素生產力成長率中扮演的角色。實證結果指出:亞洲生物科技廠商主要是透過技術效率的改善來提升總要素生產力,生產投入的驅動次之,技術變動率之貢獻爲負;此外,技術變動不具有Hicks中性性質,有傾向使用較少的勞動與較多資本的趨勢。

並列摘要


After completion of human genome project (HGP) in 2003, biology went into ”post-genome era.” Many Asian countries have markedly different approaches to craving out a niche in the Asian biotech arena. This study analyzes the total factor productivity (TFP) of Asian biotech firms using the stochastic production frontier approach. The stochastic production frontier approach allows us to separate the random error from the inefficiency and decompose TFP productivity change into a technical change component, a return to scale component, and a component associated with change in technical efficiency. The empirical results show that the TFP upgrading mainly results from efficiency improvement and scale component, and the contribution of technical change is negative. Furthermore, the technology change is non-neutral with respect to inputs, and tends to use less labor and more capital.

被引用紀錄


汪震亞(2012)。赴大陸投資與母公司經營績效關係之研究-以代表性製造業上市公司為例〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.02574

延伸閱讀