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題名 台灣IT廠商研發資本與生產效率之關係
作者 許敬基
貢獻者 黃智聰
許敬基
關鍵詞 IT產業
生產效率
外溢效果
技術效率
IT industry
R&D spending
technical efficiency
intra-industry spillovers
technical inefficiency effect
日期 2003
上傳時間 18-Sep-2009 17:54:55 (UTC+8)
摘要 本文研究目的,在於探討台灣資訊科技(information technology)產業廠商的研發資本存量及產業內(intra-industry)研發資本存量的外溢效果(spillover effect)對於生產技術效率的影響。文中所採用的資料,主要來自於台灣經濟新報資料庫及廠商的財務報表,利用1997-2003年402家於台灣證券交易所上市及上櫃廠商的財務資料,並對Battese and Coelli(1995)所提出隨機邊界生產函數(stochastic frontier production function)與技術無效率效果(technical inefficiency effect)模型,同時進行實證估計。本文主要研究發現為,不論是以整體IT產業的廠商來看,或是分別就電腦硬體產業、半導體產業、通訊產業及光電產業的廠商來看,產業內R&D資本的外溢對於廠商的生產技術效率有正向的影響。但廠商自身的R&D資本存量對於其生產技術效率卻無顯著的影響,而軟體產業的廠商,卻現負面影響。另外,台灣IT產業廠商亦存在著技術進步的情形,但其技術效率則隨著時間而遞減。再則,本文研究也發現,台灣的IT產業中,半導體產業的廠商在生產技術效率方面表現最好,光電產業的廠商則最差。此外,上市廠商的技術效率較上櫃廠商佳。而有在科學園區設立工廠的廠商,除了半導體產業的廠商之外,其他四個產業的在科學工業園區設立工廠的廠商生產技術效率與未於科學園區設立工廠的廠商並無顯著差異。
This paper aims to investigate the influence of and intra-industry spillovers of R&D spending on firm’s technical efficiency of production in Taiwan’s information technology (IT) industry. Firm-level panel data of 402 firms in IT industry from 1997~2003 provided by Taiwan Economic Journal (TEJ) data bank and the stochastic frontier production function and technical inefficiency function proposed by Battese and Coelli (1995) are adopted in this study. The primary finding of this study is that the intra-industry spillovers of R&D spending on firm’s technical efficiency exist in Taiwan’s IT industry. This finding also exists in sub-industries of IT industry: computer hardware industry, semi-conductor industry, software industry, telecom industry, and photoelectric industry. However, influence of R&D capital on firm’s technical efficiency is insignificant in whole IT industry in Taiwan. Besides, in the period, there are technical advancements in firms of whole IT industry. Finally, the performance of the IT firms inside the Science Park is insignificant better than the firms outside in terms of technical efficiency, but excluding semi-conductor firms.
參考文獻 一、英文文獻
Aigner, D.J.,and S.F. Chu (1968), “On Estimating the Industry Production Function,” American Economic Review, 58, 568-598.
Aigner, D.J., C.A.K Lovell, and P. Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models,” Journal of Econometrics, 6, 21-37.
Basant, R. and B. Fikkert (1996), “The effect of R&D, foreign technology purchase, and domestic and international spillovers on productivity in Indian firms,” Review of Economics and Statistics, 78, 187-199.
Coelli, T.J.,D.S. Prasada Raoand and G.E. Battese(1995), An Introduction to Efficiency and Productivity Analysis, London: Kluwer
Battese, G.E. and T.J. Coelli (1995), “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data,” Empirical Economics, 20, 325-332.
Bernstein, J.I. (1988), “Cost of Production, Intra-and Inter-industry R&D Spillovers: Canadian Evidence,” Canadian Journal of Economics, 21, 324-347.
Bernstein, J.I. and M.I. Nadiri (1988), “Inter-industry R&D Spillovers Rates of Returns and Production in High-Tech Industries,” American Economic Review Papers and Proceeding, 78, 429-434.
──── (1989), “Research and development and intra-industry spillover: An empirical application of dynamic duality,” Review of Economic Studies, 56, 249-269.
Cuneo, P. and J. Mairesse (1984), “Productivity and R&D at the Firm Level in French Manufacturing,” in Z.(ed.),R&D, Patent and Productivity. Chicago: University of Chicago Press, 375-392.
Farrel, M.J (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, 120(3), 253-282.
Goss, E. and G.S. Vozikis (1994), “High-tech Manufacturing: Firm Size, Industry and Population Density,” Small Business Economics, 6, 291-297.
Greene, W.H. (1980), “Maximum Likelihood Estimation of Econometric Frontier Function,” Journal o f Econometrics, 13, 27-56.
Griliches, Z. (1979), “Issue in Assessing the Contribution of R&D to Productivity Growth,” Bell Journal of Economics, 10, 92-116.
Griliches, Z. (1980), “R&D and Productivity Slowdown,” American Economic Review, 70, 343-348.
Griliches, Z. and J. Mairesse (1984), “Productivity and R&D at the Firm Level,” Z.(ed.), R&D, Patent and Productivity. Chicago: University of Chicago Press, 339-374.
Grossman, G.M. and E. Helpman (1990), “Comparative Advantage and Long-Run Growth,” American Economic Review, 80, 796-815.
Hall, B.H. and J. Mairesse (1995), “Exploring the Relationship between R&D and Productivity in France Manufacturing Firms,” Journal of Econometrics, 6, 291-297.
Harhoff, D. (1998), “R&D and Productivity in German Manufacturing Firms,” Economics of Innovation and New Technology, 6, 29-49.
Jaffe, A.B. (1986), “Technological Opportunity and Spillovers of R&D: Evidence from Firms’ Patents, Profits, and Market Value,” American Economic Review, 76, 984-1001.
Keane, M.P. and D.E. Runkle (1992), “On the Estimation of Panel Data Models with Serial Correlation when Instruments are not Strictly Exogenous,” Journal of Economics and Statistics, 10, 1-29.
Leung, C.K. and C.T. Wu (1995), “Innovation Environments, R&D Linkage and Technology Development in Hong Kong,” Regional Studies, 29, 533-546.
Levin, R.C.and P.C. Reiss (1984), “Tests of a Schumpeterian Model of R&D and Market Structure,” in Griliches, Z. (ed.), R&D Patens and Productivity. Chicago: University of Chicago Press.
Mansfield, E. (1980), “Basic Research and Productivity Increase in Manufacturing,” American Economic Review, 70, 863-873.
Meeusen, W. and V.D. Broeck, J (1977), “Technical Efficiency and Dimension of the Firm: Some Results on the Use of Frontier Production Functions,” Empirical Economics, 2(2), 109-122.
Minasian, J. R. (1969), “Basic Research and Productivity Increase in Manufacturing,” American Economic Review, 59, 80-85.
Nadiri, M. I. (1993), “Innovations and Technological Spillovers, ” Working Paper, No.4423, National Bureau of Economic Research.
Raut, L. (1995), “R&D Spillover and Productivity Growth: Evidence from Indian Private Firms,” Journal of Development Economics, 48, 1-23.
Romer, P.M. (1986), “Increasing Return and Long-Run Growth,” Journal of Political Economy, 94, 1002-1037.
二、中文文獻
吳明機(2000),「台灣IT產業發展現況與展望」,《經濟情勢暨評 論》,6(3),頁1-20。
莊奕琦、許碧峰(1999),「研究發展對生產力的貢獻及產業間的外溢效果:台灣製造業實證」,《經濟論文》,27(3),頁407-432。
鄒孟文、劉錦添(1997),「外人直接投資對台灣製造業波及效果之實證」,《經濟論文叢刊》,25(2),頁155-181。
楊志海、陳忠榮(2002),「研究發展,專利與生產力—台灣製造業的實證研究」,《經濟論文叢刊》,30(1),頁27-48。
楊志海、陳忠榮(2001),「創新活動的投入、產出與效率—科學園區內外高科技廠商的比較」,《台大管理論叢》,11(2),頁129-153。
蔡光第、楊浩彥(1996),「多層次巢覆式R&D外溢效果與其對台灣製造業不同科技部門之貢獻」,《經濟論文叢刊》,24(1),頁29-59。
蔡宏明(2000),「資訊科技協定對資訊科技國際分工的影響之貢獻」,《經濟情勢暨評論》,6(3),頁22-50。
蔡坤宏(1999),「研究發展對附加價值之影響:台灣技術密集產業的推估」,《中山管理評論》,7(2),頁357-380。
蔡蕙安、陳致綱(2002),「研究發展外溢效果對廠商成本結構之影響—台灣高科技產業之實證分析」,《經濟論文叢刊》,30(2),頁175-204。
趙文璋(2001),「加入WTO後我國高科技產業發展趨勢」,《臺灣銀行季刊》,52(4),頁1-17。
---------(2003),「全球IT產業競爭新模式及台灣IT產業的未來」,《今日合庫》,29(9),頁81-101。
劉錦添(1995),「台灣製造業技術效率之實證分析」,《經濟論文叢刊》,23(2),頁149-169。
三、政府出版品
行政院國家科學委員會(1995-2001),《中華民國科學技術統計要覽》,台北:行政院國科會。
經濟部工業統計調查聯繫小組(1993-1995, 1997-2000),《中華民國台閩地區工業統計調查報告》,台北:經濟部。
經濟部技術處(2003),《2003產業技術白皮書》,台北:經濟部技術處。
經濟部投資審議委員會(2004),《對大陸投資統計年報》,台北:經濟部投審會。
描述 碩士
國立政治大學
中山人文社會科學研究所
91261020
92
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0912610202
資料類型 thesis
dc.contributor.advisor 黃智聰zh_TW
dc.contributor.author (Authors) 許敬基zh_TW
dc.creator (作者) 許敬基zh_TW
dc.date (日期) 2003en_US
dc.date.accessioned 18-Sep-2009 17:54:55 (UTC+8)-
dc.date.available 18-Sep-2009 17:54:55 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 17:54:55 (UTC+8)-
dc.identifier (Other Identifiers) G0912610202en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36296-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 中山人文社會科學研究所zh_TW
dc.description (描述) 91261020zh_TW
dc.description (描述) 92zh_TW
dc.description.abstract (摘要) 本文研究目的,在於探討台灣資訊科技(information technology)產業廠商的研發資本存量及產業內(intra-industry)研發資本存量的外溢效果(spillover effect)對於生產技術效率的影響。文中所採用的資料,主要來自於台灣經濟新報資料庫及廠商的財務報表,利用1997-2003年402家於台灣證券交易所上市及上櫃廠商的財務資料,並對Battese and Coelli(1995)所提出隨機邊界生產函數(stochastic frontier production function)與技術無效率效果(technical inefficiency effect)模型,同時進行實證估計。本文主要研究發現為,不論是以整體IT產業的廠商來看,或是分別就電腦硬體產業、半導體產業、通訊產業及光電產業的廠商來看,產業內R&D資本的外溢對於廠商的生產技術效率有正向的影響。但廠商自身的R&D資本存量對於其生產技術效率卻無顯著的影響,而軟體產業的廠商,卻現負面影響。另外,台灣IT產業廠商亦存在著技術進步的情形,但其技術效率則隨著時間而遞減。再則,本文研究也發現,台灣的IT產業中,半導體產業的廠商在生產技術效率方面表現最好,光電產業的廠商則最差。此外,上市廠商的技術效率較上櫃廠商佳。而有在科學園區設立工廠的廠商,除了半導體產業的廠商之外,其他四個產業的在科學工業園區設立工廠的廠商生產技術效率與未於科學園區設立工廠的廠商並無顯著差異。zh_TW
dc.description.abstract (摘要) This paper aims to investigate the influence of and intra-industry spillovers of R&D spending on firm’s technical efficiency of production in Taiwan’s information technology (IT) industry. Firm-level panel data of 402 firms in IT industry from 1997~2003 provided by Taiwan Economic Journal (TEJ) data bank and the stochastic frontier production function and technical inefficiency function proposed by Battese and Coelli (1995) are adopted in this study. The primary finding of this study is that the intra-industry spillovers of R&D spending on firm’s technical efficiency exist in Taiwan’s IT industry. This finding also exists in sub-industries of IT industry: computer hardware industry, semi-conductor industry, software industry, telecom industry, and photoelectric industry. However, influence of R&D capital on firm’s technical efficiency is insignificant in whole IT industry in Taiwan. Besides, in the period, there are technical advancements in firms of whole IT industry. Finally, the performance of the IT firms inside the Science Park is insignificant better than the firms outside in terms of technical efficiency, but excluding semi-conductor firms.en_US
dc.description.tableofcontents 目 錄
     第一章 緒論 …………………………………………………… 1
     第一節 研究動機 …………………………………………………1
     第二節 研究目的 ……………………………………………… 6
     第三節 研究架構 ……………………………………………… 8
     
     第二章 台灣IT產業概況…………...………………………… 11
     第一節 台灣IT產業發展與趨勢..………………………………11
     第二節 台灣產業研究發展活動現況……………………………18
     
     第三章 文獻回顧…………………………………………………26
     第一節 研究發展對生產力的相關文獻…………………………26
     第二節 研究發展外溢效果的相關文獻…………………………32
     
     第四章 研究方法與變數資料.………………………………… 38
     第一節 研究方法與實證模型……………………………………38
     第二節 資料來源與變數說明……………………………………44
     
     第五章 實證結果…………………………………………………48
     第一節 基本統計量分析…………………………………………48
     第二節 實證結果分析……………………………………………52
     
     第六章 結論與政策建議…………………………………………58
     參考文獻…………………………………………………………… 61
     附錄.…………………………………………………………………66
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0912610202en_US
dc.subject (關鍵詞) IT產業zh_TW
dc.subject (關鍵詞) 生產效率zh_TW
dc.subject (關鍵詞) 外溢效果zh_TW
dc.subject (關鍵詞) 技術效率zh_TW
dc.subject (關鍵詞) IT industryen_US
dc.subject (關鍵詞) R&D spendingen_US
dc.subject (關鍵詞) technical efficiencyen_US
dc.subject (關鍵詞) intra-industry spilloversen_US
dc.subject (關鍵詞) technical inefficiency effecten_US
dc.title (題名) 台灣IT廠商研發資本與生產效率之關係zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 一、英文文獻zh_TW
dc.relation.reference (參考文獻) Aigner, D.J.,and S.F. Chu (1968), “On Estimating the Industry Production Function,” American Economic Review, 58, 568-598.zh_TW
dc.relation.reference (參考文獻) Aigner, D.J., C.A.K Lovell, and P. Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models,” Journal of Econometrics, 6, 21-37.zh_TW
dc.relation.reference (參考文獻) Basant, R. and B. Fikkert (1996), “The effect of R&D, foreign technology purchase, and domestic and international spillovers on productivity in Indian firms,” Review of Economics and Statistics, 78, 187-199.zh_TW
dc.relation.reference (參考文獻) Coelli, T.J.,D.S. Prasada Raoand and G.E. Battese(1995), An Introduction to Efficiency and Productivity Analysis, London: Kluwerzh_TW
dc.relation.reference (參考文獻) Battese, G.E. and T.J. Coelli (1995), “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data,” Empirical Economics, 20, 325-332.zh_TW
dc.relation.reference (參考文獻) Bernstein, J.I. (1988), “Cost of Production, Intra-and Inter-industry R&D Spillovers: Canadian Evidence,” Canadian Journal of Economics, 21, 324-347.zh_TW
dc.relation.reference (參考文獻) Bernstein, J.I. and M.I. Nadiri (1988), “Inter-industry R&D Spillovers Rates of Returns and Production in High-Tech Industries,” American Economic Review Papers and Proceeding, 78, 429-434.zh_TW
dc.relation.reference (參考文獻) ──── (1989), “Research and development and intra-industry spillover: An empirical application of dynamic duality,” Review of Economic Studies, 56, 249-269.zh_TW
dc.relation.reference (參考文獻) Cuneo, P. and J. Mairesse (1984), “Productivity and R&D at the Firm Level in French Manufacturing,” in Z.(ed.),R&D, Patent and Productivity. Chicago: University of Chicago Press, 375-392.zh_TW
dc.relation.reference (參考文獻) Farrel, M.J (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, 120(3), 253-282.zh_TW
dc.relation.reference (參考文獻) Goss, E. and G.S. Vozikis (1994), “High-tech Manufacturing: Firm Size, Industry and Population Density,” Small Business Economics, 6, 291-297.zh_TW
dc.relation.reference (參考文獻) Greene, W.H. (1980), “Maximum Likelihood Estimation of Econometric Frontier Function,” Journal o f Econometrics, 13, 27-56.zh_TW
dc.relation.reference (參考文獻) Griliches, Z. (1979), “Issue in Assessing the Contribution of R&D to Productivity Growth,” Bell Journal of Economics, 10, 92-116.zh_TW
dc.relation.reference (參考文獻) Griliches, Z. (1980), “R&D and Productivity Slowdown,” American Economic Review, 70, 343-348.zh_TW
dc.relation.reference (參考文獻) Griliches, Z. and J. Mairesse (1984), “Productivity and R&D at the Firm Level,” Z.(ed.), R&D, Patent and Productivity. Chicago: University of Chicago Press, 339-374.zh_TW
dc.relation.reference (參考文獻) Grossman, G.M. and E. Helpman (1990), “Comparative Advantage and Long-Run Growth,” American Economic Review, 80, 796-815.zh_TW
dc.relation.reference (參考文獻) Hall, B.H. and J. Mairesse (1995), “Exploring the Relationship between R&D and Productivity in France Manufacturing Firms,” Journal of Econometrics, 6, 291-297.zh_TW
dc.relation.reference (參考文獻) Harhoff, D. (1998), “R&D and Productivity in German Manufacturing Firms,” Economics of Innovation and New Technology, 6, 29-49.zh_TW
dc.relation.reference (參考文獻) Jaffe, A.B. (1986), “Technological Opportunity and Spillovers of R&D: Evidence from Firms’ Patents, Profits, and Market Value,” American Economic Review, 76, 984-1001.zh_TW
dc.relation.reference (參考文獻) Keane, M.P. and D.E. Runkle (1992), “On the Estimation of Panel Data Models with Serial Correlation when Instruments are not Strictly Exogenous,” Journal of Economics and Statistics, 10, 1-29.zh_TW
dc.relation.reference (參考文獻) Leung, C.K. and C.T. Wu (1995), “Innovation Environments, R&D Linkage and Technology Development in Hong Kong,” Regional Studies, 29, 533-546.zh_TW
dc.relation.reference (參考文獻) Levin, R.C.and P.C. Reiss (1984), “Tests of a Schumpeterian Model of R&D and Market Structure,” in Griliches, Z. (ed.), R&D Patens and Productivity. Chicago: University of Chicago Press.zh_TW
dc.relation.reference (參考文獻) Mansfield, E. (1980), “Basic Research and Productivity Increase in Manufacturing,” American Economic Review, 70, 863-873.zh_TW
dc.relation.reference (參考文獻) Meeusen, W. and V.D. Broeck, J (1977), “Technical Efficiency and Dimension of the Firm: Some Results on the Use of Frontier Production Functions,” Empirical Economics, 2(2), 109-122.zh_TW
dc.relation.reference (參考文獻) Minasian, J. R. (1969), “Basic Research and Productivity Increase in Manufacturing,” American Economic Review, 59, 80-85.zh_TW
dc.relation.reference (參考文獻) Nadiri, M. I. (1993), “Innovations and Technological Spillovers, ” Working Paper, No.4423, National Bureau of Economic Research.zh_TW
dc.relation.reference (參考文獻) Raut, L. (1995), “R&D Spillover and Productivity Growth: Evidence from Indian Private Firms,” Journal of Development Economics, 48, 1-23.zh_TW
dc.relation.reference (參考文獻) Romer, P.M. (1986), “Increasing Return and Long-Run Growth,” Journal of Political Economy, 94, 1002-1037.zh_TW
dc.relation.reference (參考文獻) 二、中文文獻zh_TW
dc.relation.reference (參考文獻) 吳明機(2000),「台灣IT產業發展現況與展望」,《經濟情勢暨評 論》,6(3),頁1-20。zh_TW
dc.relation.reference (參考文獻) 莊奕琦、許碧峰(1999),「研究發展對生產力的貢獻及產業間的外溢效果:台灣製造業實證」,《經濟論文》,27(3),頁407-432。zh_TW
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