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Industrial Enterprises' Innovation Efficiency And The Influence Of Capital Source: Based On Statistical Data Of Industrial Enterprises In Jiangsu Province

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  • LUO, ZHENGYING
  • CHIU, YUNG-HO
  • TANG, LINGLING
  • XU, YAYUN
  • LU, CHING-CHENG

Abstract

This study chooses industrial enterprises with great innovative capacity and above a designated size in Jiangsu as the research object to examine the real mechanism of their innovative activities. We apply the DEA model to calculate the technical efficiency, technical progress, and total factor productivity (TFP) of industrial enterprises from 1999 to 2009, finding that technical progress is the most significant factor in increasing TFP. In order to ensure the efficient flow of capital and labor, the empirical results of this study provide useful evidence to promote the industry frontier technical progress and to improve the average efficiency level.

Suggested Citation

  • Luo, Zhengying & Chiu, Yung-Ho & Tang, Lingling & Xu, Yayun & Lu, Ching-Cheng, 2016. "Industrial Enterprises' Innovation Efficiency And The Influence Of Capital Source: Based On Statistical Data Of Industrial Enterprises In Jiangsu Province," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 57(2), pages 175-193, December.
  • Handle: RePEc:hit:hitjec:v:57:y:2016:i:2:p:175-193
    DOI: 10.15057/28220
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    References listed on IDEAS

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    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. Yanrui Wu, 2010. "Innovation and Economic Growth in China," Economics Discussion / Working Papers 10-10, The University of Western Australia, Department of Economics.
    3. Takehiko Isobe & Shige Makino & David Montgomery, 2008. "Technological capabilities and firm performance: The case of small manufacturing firms in Japan," Asia Pacific Journal of Management, Springer, vol. 25(3), pages 413-428, September.
    4. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    5. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    6. Lei Fang & C-Q Zhang, 2008. "Resource allocation based on the DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1136-1141, August.
    7. Dirk Frantzen, 2008. "R&D and manufacturing production specialization in developed economies," Applied Economics, Taylor & Francis Journals, vol. 40(23), pages 3009-3027.
    8. Concetta Castiglione, 2012. "Technical efficiency and ICT investment in Italian manufacturing firms," Applied Economics, Taylor & Francis Journals, vol. 44(14), pages 1749-1763, May.
    9. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    10. Guangzhou Hu, Albert, 2001. "Ownership, Government R&D, Private R&D, and Productivity in Chinese Industry," Journal of Comparative Economics, Elsevier, vol. 29(1), pages 136-157, March.
    11. Yu-Shan Chen & Bi-Yu Chen, 2012. "Patent indicators as output variables of DEA to evaluate the efficiency of the computer communication equipment industry in United States," Applied Economics, Taylor & Francis Journals, vol. 44(11), pages 1429-1432, April.
    12. Werner Bonte, 2003. "Does federally financed business R&D matter for US productivity growth?," Applied Economics, Taylor & Francis Journals, vol. 35(15), pages 1619-1625.
    13. Shantanu Dutta & Om Narasimhan & Surendra Rajiv, 1999. "Success in High-Technology Markets: Is Marketing Capability Critical?," Marketing Science, INFORMS, vol. 18(4), pages 547-568.
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    Cited by:

    1. Chen, Yiqi & Ibhagui, Oyakhilome W., 2019. "R&D-firm performance nexus: New evidence from NASDAQ listed firms," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

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    More about this item

    Keywords

    R&D investment; technical progress; industrial enterprises; fund sources; DEA;
    All these keywords.

    JEL classification:

    • D29 - Microeconomics - - Production and Organizations - - - Other
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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