投资增长模式下经济增长因素分解与经济增长质量被引量：40

Factor analysis and quality evaluation for economic growth with investment-growth model

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摘要针对传统经济增长分解难以解释体现在新增资本中的技术进步对经济增长的作用,本文重新划分经济增长的三因素为规模增长、硬技术进步和软技术进步,将产出增长率分解为三因素作用之和,由此给出各因素对经济增长贡献率的测算公式,同时给出投资增长模式下经济增长质量的评价方法。 The effection of embodied technical change on economic growth could hardly be identified by conventional factor analysis , this paper defines the factors of economic growth as scale growth, hardware technical change and soft technical change, the growth rate of output in economic system could be divided among these factors, basing on which the contribution of hardware technical change and soft technical change to economic growth can be measured, this presents a way to accurately evaluate the quality of economic growth with investment-growth model.

作者康梅

机构地区哈尔滨工业大学管理学院

出处《数量经济技术经济研究》 CSSCI 北大核心 2006年第2期153-160,共8页 Journal of Quantitative & Technological Economics

关键词全要素生产率硬技术软技术 total factor productivity hardware technical change soft technical change

分类号 F224.0 [经济管理—国民经济]

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参考文献9

1Charles R H. , Growth accounting when technical change is embodied in capital [J]. The American Economic Review, 1992, Vol. 82 No. 4: 964-980.
2Jeremy G, Zvi H, and Per K. , Long-run implications of investment-specific technological change,The American Economic Review, 1997, Vol. 87 No. 3: 342-362.
3Plutarchos S, Daniel J W. , Quantifying embodied technological change [J]. Review of Economic Dynamics, 2004, 7: 1-26.
4Jun Zhang, Investment, investment efficiency, and economic growth in china [J]. Journal of Asian Economics, 2003, 14: 713-734.
5周方.“科技进步”及其对经济增长贡献的测算方法[J].数量经济技术经济研究,1997,13(1):36-40. 被引量：50
6Murillo-Zamorano Luis R, Vega-Cervera Juan A. , The use of parametric and non-parametric methods to measure the productive efficiency in the industrial sector: A comparative study [J]. International Journal of Produetion Economics, 2001, 69 : 265-275.
7Jean-Pierre F, Leopold Simar, Parametric approximations of non parametric frontiers [J]. Journal of Econometrics, 2005, 124:91-116.
8国家统计局工业交通统计司.《中国工业经济统计年鉴(2001、2002、2003)》[M].中国统计出版社,..
9冯英浚,康梅,任柏明.描述不同行业投入产出差别的一种技术系数[J].系统工程理论与实践,2004,24(6):41-45. 被引量：6

二级参考文献8

1[2]Samuelson P A. Foundations of Economics Analysis[M]. Cambridge Mass, Havard University Press, 1948.
2[3]Charnes A, Cooper W W, Golany B, Stutz J. Foundations of data envelopement analysis for parato-koopmans efficient empirical production functions[J]. Journal of Econometrics, 1985, 30: 81-107.
3[5]Joseph C Paradi, Sandra(Rehm)Smith, Claire Schaffnit-Chatterjee. Kowledge Worker performance analysis using DEA: An application to engineering design team at Bell Canada[J]. IEEE Transaction on Engineering Management, 2002, 49(1):161-172.
4康梅.生产函数的主成分有偏估计[J].系统工程,1998,(增刊):126-130.
5周方，数量经济技术经济研究，1994年，2期
6周方，数量经济技术经济研究，1994年，8期
7张维迎.博弈论与信息经济学[M].上海：上海人民出版社,2002..
8冯英浚,徐勇,李成红.建立生产函数表达式的一种优化方法[J].数量经济技术经济研究,1999,16(4):31-34. 被引量：6