An Empirical Study of the Investment to Promote the Technological Progress of China's Industrial

Abstract:

This paper using data of China's Industrial Sector in 1996 -2010, selecting the stochastic frontier production function model, estimating the rate of change of total factor productivity in various industries, gets the level of technological progress in various industries. On this basis, domestic and foreign investment in 1996 -2010 data, were used based on the panel data model to study the impact of the level of domestic and foreign investment in industrial sectors of technological progress. The empirical results show that the industrial technological progress in the vast majority of the industry comes from domestic investment or foreign investment, the individual industry even at the same time by the dual effects of domestic and foreign investment, When the industry is characterized by high degree of market competition and foreign investment to domestic investment proportion is higher, technological progress is more inclined to come from domestic investment, the contrary is more inclined to come from foreign investment.

• Periodical: Applied Mechanics and Materials (Volume 472)
• Pages: 1061-1065
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.472.1061
• Online since: January 2014
• Authors: Yan Jun Wu, Shi Dong Ji, Li Jiang Jia
• Keywords: Domestic Investment, Foreign Investment, Panel Data Model, Stochastic Frontier Production Function Model, Technological Progress

References

[1] Wu Yanbing, independent research and development, the introduction of technology and productivity - An Empirical Study Based on China's regional industrial, economic research , vol. 8, no. 4, pp.69-76, (2008).

[2] Bernstein J I, The structure of Canadian inter-industry R&D spillovers and the rates of return to R&D, The Journal of Industrial Economics，vol. 37, no. 3, p.3125–3328, (1998).

[3] Kokko, Zejan, Local Technological Capability and Productivity Spillovers from FDI in the Uruguayan Manufacturing Sector, Journal of Development Studies，vol. 32, no. 4, pp.602-611, (1996).

DOI: 10.1080/00220389608422430

[4] Kumbhakar S C, Production Frontiers，Panel Data and Time-Varing Technical Inefficiency, Journal of Econometrics，vol. 46, no. 8, pp.201-211, (1990).

DOI: 10.1016/0304-4076(90)90055-x

[5] Battese G E，Coelli T J, Frontier Production Functions，Technical Efficiency and Panel Data: With Application to Paddy Farmers in India, The Journal of Productivity Analysis，vol. 3, no. 11, pp.153-169, (1992).

DOI: 10.1007/bf00158774

[6] Tao changqi，Qi Yawei, spatial differences in total factor productivity and its causes, Quantity Technical Economics, vol. 1, no. 7, pp.140-156, (2010).

[7] Wang Fei, Foreign direct investment promote domestic industrial enterprises in technological progress, World economy, vol. 4, no. 5, pp.39-44, (2003).

[8] Lin chengjie, Liu Tianshan, FDI and OFDI technology spillovers empirical test , technical and economic, vol. 1, no. 7, pp.79-86, (2011).

[9] Aigner D L，Lovell C A K, Schmidt P. Formulation and Estimation of Stochastic Frontier Production Models, Journal of Econometrics，vol. 6, no. 1, pp.21-37, (1997).

DOI: 10.1016/0304-4076(77)90052-5

[10] Wang Bin, FDI technology spillovers, technological progress and technical efficiency - China's manufacturing industry from 1999 to 2007 panel data-based empirical research, Quantitative & Technical Economics，vol. 2, no. 5, pp.67-81, (2010).