| 研究生: |
陳弘禾 Hong-he Chen |
|---|---|
| 論文名稱: |
公、私部門研發經費對就業的影響---以OECD國家為例 The Impact of Government and Private R&D Expenditure on Employment –The Case of OECD Countries |
| 指導教授: | 陳忠榮 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 產業經濟研究所 Graduate Institute of Industrial Economics |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 中文 |
| 論文頁數: | 73 |
| 中文關鍵詞: | OECD 、公部門研發 、私部門研發 、就業 |
| 外文關鍵詞: | OECD, Public R&D, Private R&D, Employment |
| 相關次數: | 點閱:11 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本文以OECD的29個會員國,由1981年至2009年的國家層級資料,以System GMM實證探討公部門與私部門研發投入對於就業人數的影響。研究發現公部門研發投入確實正向影響就業。私部門研發投入如同先前文獻的結果,對於就業為正向影響。
公、私部門研發僅在當期對就業呈現正向影響。私部門研發落後期的負向效果,在落後兩年期內仍然顯著影響就業,但隨著落後項的期間拉長而出現收斂的趨勢。然而,公部門研發落後期的負向效果僅影響一年。
公部門知識存量對就業的影響,較私部門知識存量對就業的影響大。此結果支持設立公部門研發中心的政策,改善基礎就業環境與整體國家技術水準,避免只補助單一產業。
This paper attempts to quantify the effects of public sector R&D and private sector R&D on employment of 29 OECD member countries over the period from 1981 to 2009. Apply System GMM to estimate the panel of dynamic employment equations. We find that public sector R&D indeed affect employment positively. So does private sector R&D as indicated by the previous literature.
However, public R&D and private R&D positively affect employment in the current period only. The negative effect on employment of lagged private R&D is significant over the last 2 years, but it converges over time. While the negative effect of lagged public R&D only last one period.
As for the employment effect of R&D stock, public sector reveals greater influence than the private sector. This result supports the policy of establishing public R&D centers, rather than granting R&D resources to a single industry, to improve basic employment environment and national technical standards.
中文部分:
行政院國家科學委員會(2004)。中華民國科學技術白皮書(民國92年至95年)
行政院國家科學委員會(2007)。中華民國科學技術白皮書(民國96年至99年)
行政院國家科學委員會(2010)。中華民國科學技術白皮書(民國100年至103年)
行政院國家科學委員會(1994)。科技統計名詞定義手冊
張朝欽(2008)。政府支援企業研發之政策工具國際比較。科技發展政策報導,20-52。
英文部分:
Antonucci, T. and Pianta, M. (2002). “Employment Effects of Product and Process
Innovation in Europe.”, International Review of Applied Economics, 16, 295–307.
Arellano, M. and Bond, S. (1991). “Some Tests of Specification for Panel Data: Monte Carlo Evidenceand an Application to Employment Equations”, Review of Economic Studies, 58, 277–297.
Arrow, K. (1962). “The economic implications of learning by doing”, Review of Economic Studies, 29(2), 155–173.
Blundell, R. and Bond, S. (1998). “Initial Conditions and Moment Restrictions in Dynamic Panel DataModels”, Journal of Econometrics, 87, 115–143.
Bogliacino, F. and Vivarelli, M. (2012). “The Job Creation Effect of R&D Expenditures”, Australian Economic Papers, 96-113.
Choi, I. (2001). “Unit root tests for panel data”, Journal of International Money and Finance, 20, 249-272.
Czarnitzki, D. and Fier, A. (2001). “Do R&D subsidies matter? Evidence for the German service sector”, Centre for European Economic Research, ZEW Discussion Paper ,01-19.
David, A. and Hall, B. (2000). “ Heart of Darkness: modeling public-private funding interactions inside the R&D Black Box”, Research Policy,29,1165–1183.
David, A. , Hall, B. and Toole, A. (2000). “ Is public R&D a complement or substitute for private R&D? A review of the econometric evidence.” , Research Policy, 29(4–5), 497–529.
Falk, M. (2007). “R&D spending in the high-tech sector and economic growth”, Research in Economics,61 ,140–147.
Goolsbee, A. (1998). “Does government R&D policy mainly benefit scientists and engineers? ”, American Economic Review, 88(2), 298–302.
Guellec, D. and van Pottelsberghe de la Potterie, B. (2003). “The Impact of Public R&D Expenditure on Business R&D”, Economics of Innovation and New
Technology, 12(3), 225–243.
Guellec, D. and van Pottelsberghe de la Potterie, B. (2004). “From R&D to productivity growth: Do the institutional settings and the source of funds of
R&D matter? ”, Oxford Bulletin of Economics and Statistics ,66 (3), 353–378.
Im, K. S., Pesaran, M. H. and Shin, Y. (2003),"Testing for Unit Roots in Heterogeneous Panels", Journal of Econometrics, 115,53-74.
Kealey, T. (1996). The Economic Laws of Scientific Research. New York St Martin’s Press, p. 382
Levin, A., Lin, C. F. and Chu, C. S. (2002), "Unit root tests in panel data: Asymptotic and finite-sample properties , Journal of Econometrics, vol 108, no 1, 1–24.
Marx, K. (1961). Capital, Moscow, Foreign Languages Publishing House, first edition 1867.
Mamuneas, P. and Nadiri, M. (1996). “Public R&D policies and cost behaviour of the US manufacturing industries”, Journal of Public Economics, 63, 57–81.
Mankiw, G. , Romer, D. and Weil, N. (1992). “A contribution to the empirics of economic growth”, Quarterly Journal of Economics ,107, 407–437.
Nonneman, W. and Vanhoudt, P. (1996). “A further augmentation of the Solow model and the empirics of economic growth for the OECD”, QuarterlyJournal of Economics, 111, 943–953.
Pianta, M. (2005). “Innovation and Employment” In J. Fagerberg, D. Mowery and R.R.Nelson (eds), Handbook of Innovation. Oxford: Oxford University Press.
Porter, M. (1990). The Competitive Advantage of Nations, New York: Macmillan.
Said, S. and Dickey, D. (1984) . "Testing for Unit Roots in Autoregressive Moving Average Models of Unknown Order", Biometrika, 71, 599–607.
Sargan, J. (1958). “The estimation of economic relationships using instrumental variables ”, Econometrica , 26(3): 393–415.
Schumpeter, A. (1934). Theory of Economic Development, Cambridge, Mass: Harvard University Press (1st edn. 1911).
Van Reenen, J. (1997). “Employment and Technological Innovation: Evidence from U.K.Manufacturing Firms”, Journal of Labor Economics, 15, 255–284.
Vivarelli, M. (1995). The Economics of Technology and Employment: Theory and
Empirical Evidence.Aldershot: Elgar.
Vivarelli, M. (2012). “Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of the Literature”, IZA Discussion Papers, no.6291. Bonn, Germany:IZA.
Wallsten, J. (2000). “The effects of government-industry R&D programs on private R&D: The case of the small business innovation research program”, R&D Journal of Economics, 31(1), 82–100.