Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/45586
標題: Industrial agglomeration, geographic innovation and total factor productivity: The case of Taiwan
作者: Chang, C.L.
張嘉玲
Oxley, L.
關鍵字: Industry agglomeration
Geographic innovation
Total factor
productivity
Cluster
Research and development
development spillovers
evolution
cluster
japan
期刊/報告no:: Mathematics and Computers in Simulation, Volume 79, Issue 9, Page(s) 2787-2796.
摘要: The paper analyses the impact of geographic innovation on total factor productivity (TFP) in Taiwan in 2001 using 242 four-digit standard industrial classification (SIC) industries. We compute TFP by estimating Translog production functions with K, L, E and M inputs, and measure the geographic innovative activity using both Krugman's Gini coefficients and the location Herfindahl index. We also consider the geographic innovation variable as an endogenous variable and use two stage least squares (2SLS) to obtain a consistent, albeit inefficient, estimator. The empirical results show a significantly positive effect of geographic innovation, as well as R&D expenditure, on TFP. These results are robust for the Gini coefficients and location Herfindahl index, when industrial characteristics and heteroskedasticity are controlled. Moreover the Hausman test shows that the geographic innovation variable should be treated as endogenous which Supports the modern theory of industrial clustering regarding innovation spillovers; within Clusters. (c) 2008 IMACS. Published by Elsevier B.V. All rights reserved.
URI: http://hdl.handle.net/11455/45586
ISSN: 0378-4754
文章連結: http://dx.doi.org/10.1016/j.matcom.2008.09.003
Appears in Collections:應用經濟學系

文件中的檔案:

取得全文請前往華藝線上圖書館



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.