建構考量延遲效果之研發效率評估模式：以台灣積體電路業為例

Constructing R&D Efficiency Evaluation Model with Time-lag Effect: An Empirical Study of IC Industry in Taiwan

黃旭男(Shiuh-Nan Hwang) ； 許旭昇(Shiuh-Sheng Hsu)

《科技管理學刊》 19卷1期 (2014/03) Pp. 23-49

摘要

研發活動的投入對產出的影響具有延遲效果，同時研發的產出對公司經營效率的影響亦具有延遲效果，因而進行研發效率評估時必須考量延遲關係。本研究旨在提出考量延遲效果之研發效率評估的模式與步驟，首先以多項式分配延遲模式找出研發投入與產出的延遲關係，進而根據延遲時間修正研發效率評估之資料包絡分析模式，最後再求算研發產出對經營效率的延遲關係。本研究以台灣積體電路業近十年的資料為實證對象，衡量積體電路公司的研發效率與經營效率，並分析兩者的延遲關係。本文所提出之研發效率評估模式，可修正傳統研發效率評估無考量延遲效果之缺點，以後研究者可依據本研究提出之方法進行效率評估，同時產業界亦可應用此方法找出延遲效果，進而擬定研發策略。

關鍵字

延遲效果 ； 多項式分配延遲模式 ； 資料包絡分析法

並列摘要

The input of R&D affects production output in a result with time-lag. At the same time, time-lag effects of R&D output also have meaningful effect on the managerial performance for companies. Therefore, the time-lag effect needs to be considered when measuring R&D efficiency. The purpose of this study is to provide a model and its process for R&D efficiency measurement which takes the time-lag effect into consideration. First of all, the polynomial distributed lag model was used to find the time-lag in R&D activities. Further, the data envelopment analysis for R&D efficiency measurement was modified based on this obtained time-lag. Finally, the time-lag effect towards operation performance caused by R&D efficiency was calculated. In this study, the data for Taiwan's IC industry in the past ten years were used for empirical verification, as the R&D efficiency of IC manufactures were examined, and analyzed the time-lag relations between R&D efficiency and operation performance. The finding in this study can correct the shortcoming of traditional R&D efficiency measurement which does not consider the time-lag effect. Based on the results, following researchers can perform R&D efficiency measurement by the method suggested in this study. In addition, the industry can also apply the method to calculate the time-lag effect and develop R&D strategies.

並列關鍵字

Time-lag Effect ； Polynomial Distributed Lag Model ； Data Envelopment Analysis

參考文獻

Aiello, F.,Cardamone, P.(2005).R&D Spillovers and Productivity Growth: Evidence from Italian Manufacturing Microdata.Applied Economics Letters.12(10),625-631.

Akaike, H.(1973).Information Theory as an Extension of the Maximum Likelihood Principle.Second International Symposium on Information Theory.(Second International Symposium on Information Theory).

Alene, A. D.(2010).Productivity Growth and the Effects of R&D in African Agriculture.Agricultural Economics.41(2),223-238.

Almon, S.(1965).The Distributed Lag between Capital Appropriations and Expenditures.Econometrica.33(1),178-196.

Artz, K. W.,Norman, P. M.,Hatfield, D. E.,Cardinal, L. B.(2010).A Longitudinal Study of the Impact of R&D, Patents, and Product Innovation on Firm Performance.Journal of Product Innovation Management.27(5),725-740.