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Original Articles

Technological development, technology spillover and profitability: An industry level empirical analysis of Chinese manufacturing industries

Pages 279-292 | Published online: 24 Jan 2007
 

Abstract

In this paper, we use industry level panel data regression models to examine the technology spillovers from large- and medium-sized enterprises (LMEs) into non-LMEs, as well as from state-owned LMEs into state-owned enterprises and non-state-owned enterprises, in Chinese manufacturing industries. Our study reveals that technological developments in LMEs have a technology spillover effect upon non-LMEs, and state-owned LMEs have a strong technology spillover effect upon both state-owned and non-state-owned enterprises in manufacturing industries with below average technological capital intensity. As the agents of knowledge diffusion and providers of technological public goods, state-owned LMEs have played a critical role in bridging the technology gap between advanced technologies brought in by foreign funded enterprises and the technological base of other local firms, and thus have facilitated the assimilation and adaptation of advanced foreign technologies in the development of the Chinese manufacturing industry.

Notes

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11. China State Statistical Bureau and Ministry of Science and Technology, China Statistical Yearbook on Science and Technology, Beijing: China Statistical Publishing House, various years.

12. The 29 manufacturing industries (two-digit SIC code) are: Food processing; Food production; Beverage production; Textile industry; Garments and other fibre products; Leather, furs, and related products; Timber, bamboo, cane, palm fibre and straw products; Furniture manufacturing; Papermaking and paper products; Printing and recording media; Culture, educational and sports goods; Petroleum processing and coking products; Raw chemical materials and chemical products; Medical and pharmaceutical products; Chemical fiber; Rubber products; Plastic products; Non-metal mineral products; Smelting and pressing of ferrous metals; Smelting and pressing of non-ferrous; Metal products; Ordinary machinery; Equipment for special purposes; Transport equipment; Electric equipment and machinery; Electronic and telecommunications equipment; Instruments, meters, cultural and office machinery; Other manufacturing.

13. It should be pointed out that there is one-year lag of data releasing in these statistical yearbooks. For instance, The Statistical Yearbook of China of year of 2000 publishes data sets of year of 1999.

14. Corporate industrial enterprises with independent accounting system refer to enterprises engaging in industrial production activities, which meet the following requirements: (1) They are established legally, having their own names, organizations, location, able to take civil liability; Equation(2) They possess and use their assets independently, assume liabilities, and are entitled to sign contracts with other units; (3) They are financially independent and compile their own balance sheets.

15. State-owned Enterprises refers to industrial enterprises where the means of production or income are owned by the state. Non-state-owned Enterprises include collective-owned enterprises; share-holding corporations; joint-owned enterprises; foreign-invested enterprises; and enterprises with funds from Hong Kong, Macao and Taiwan.

16. H. Ernst, Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level, Research Policy, 30, 2001, pp. 143–157, see pp. 151–152.

17. As an indicator for internal development spending, Jefferson et al. (op. cit., Ref. 6) used IETD (with R&D spending as one part of it) as proxy for R&D to calculate R&D intensity. For this study, there are two reasons for us to use IETD but not R&D expenditures. First is that the complete industry level R&D spending data is not available in statistical yearbook, due to the frequent change in statistical convention. Second is that for Chinese manufacturing industries, a major part of technological resources is put into development while a much smaller part goes into research activity.

18. Z. Griliches, Issues in assessing the contribution of research and development to productivity growth, Bell Journal of Economics, 10, 1979, pp. 92–116; Z. Griliches, R&D and productivity slowdown, American Economic Review, 70, 1980, pp. 343–348.

19. Griliches (1980), op. cit., Ref. 18; H. Hollanders & B. ter Weel, Technology, knowledge spillovers and changes in employment structure: evidence from six OECD countries, Labour Economics, 9, 2002, pp. 579–599; B. H. Hall & J. Mairesse, Exploring the relationship between R&D and productivity in French manufacturing firms, Journal of Econometrics, 65, 1995, pp. 263–293.

20. Hall & Mairesse, op. cit., Ref. 19.

21. J. D. Adams, The structure of firm R&D, the factor intensity of production and skill bias, Review of Economics and Statistics, 81, 1999, pp. 499–510.

22. Hollanders & ter Weel, op. cit., Ref. 19, p. 588.

23. R. Hasan, The impact of imported and domestic technologies on the productivity of firms: panel data evidence from indian manufacturing firms, Journal of Development Economics, 69, 2002, pp. 23–49.

24. G. Chow, Capital formation and economic growth in China, Quarterly Journal of Economics, 108(3), 1993, pp. 809–842.

25. Zhiqiang Liu, Foreign direct investment and technology spillover: evidence from China, Journal of Comparative Economics, 30, 2002, pp. 579–602.

26. Hasan, op. cit., Ref. 23.

27. Foreign funded enterprises refer to all industrial enterprises registered as joint venture, cooperative, sole (exclusive) investment industrial enterprises and limited liability corporations with foreign funds.

28. Ernst, op. cit., Ref. 16, pp. 151–152)

29. G. Jefferson & T. Rawski, China's industrial innovation ladder: a model of endogenous reform, in G. Jefferson & I. Singh (Eds) Enterprise Reform In China: Ownership, Transition, and Performance (Oxford, Oxford University Press, 1999).

30. A. Gabriele, S&T policies and technical progress in China's industry, Review of International Political Economy, 9(2), 2002, pp. 333–373.

31. Li et al., op. cit., Ref. 3.

32. Y. Kinoshita, Technology spillovers through foreign direct investment, The William Davidson Institute at University of Michigan Business School, Working Paper No. 221, 1999.

33. Hu et al., op. cit., Ref. 5.

34. Xu Qingrui, Chen Jin & Guo Bin, Perspective of technological innovation and technology management in China, IEEE Transactions on Engineering Management, 45(4), 1998, pp. 381–387.

35. Cantwell, op. cit., Ref. 9.

36. Jefferson et al., op. cit., Ref. 6.

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