Research on the Measurements of the Production Factors between the Hi-Tech Zones and the Hinterlands

Abstract:

The regional transfer of production factors was the foundation of regional economy, which was connected with non-balance-development theory. The paper, from the angle of regional economy, made a deep study and established the transfer measurements of the production factors of the High-tech zones.Empirical study of the panel data of the High-tech Zone, results showed that the clustering rate in the zones is already good, but the clustering quality of production factors was not ideal.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3043-3046
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3043
• Online since: May 2014
• Authors: Bing Zhao*
• Keywords: Empirical Research, Evaluation System, Hinterlands, Hi-Tech Zones, Interaction Effects of Factors

References

[1] Jon Sigurdson. Regional Innovation Systems (RIS) in China．EIJS Working Paper No. 195, (2004).

[2] Michael J. Hiscox. International Trade and Political Conflict: Commerce, Coalitions, and Mobility . Princeton University Press(2002), pp: 21-57.

DOI: 10.1017/s1537592703950420

[3] Krueger, Alan, and Lawrence Summers. Efficiency Wages and the Inter-Industry Wage Structure . Econometrica. Vol. 56 (1988) No. 2 , p: 259-293.

DOI: 10.2307/1911072

[4] Ragan, James F., Jr. Investigation the Decline in Manufacturing Quit Rates . Journal of Human Resources, (1984) No. 19 , p: 53-71.

[5] Grossman, Gene, and James Levinsohn. Import Competition and the Stock Market Return to Capital . American Economic Review, Vol. 79 (1989), p: 1065-1087.

DOI: 10.3386/w2420

[6] Ramey, Valerie, and Matthew Shapiro. Displaced Capital: A Study of Aerospace Plant Closings.  Journal of Political Economy (2001) No. 10, p: 958-992.

DOI: 10.1086/322828

[7] Alt, James, Fredrik Carlsen, Per Heum, and Kare Johansen. Asset Specificity and the Political Behavior of Firms: Lobbying for Subsidies in Norway. International Organization. Vol. 53 (1999) No. 1, p: 99-116.

DOI: 10.1162/002081899550823

[8] Frieden, Jeffry. Debt, Development, and Democracy: Modern Political Economy and Latin America, 1965-1985 [M]. Princeton, N.J.: Princeton University Press, 1991: 135-150.

DOI: 10.2307/2939122

[9] Abramowitz．M．Resource and Output Trends in the United States Since l870. Papers and Proceedings of the American Economic Association(1956). p: 5-23.

[10] Dietzenbacher, E., Spillovers of innovation effects, Journal of Policy Modeling(2000) No. 22 , p: 27- 42.

[11] K.J. Zhao C.Z. Liu. The Measurement of Technological Innovation Diffusion Effects. Industrial Technology & Economy, Vol. 26(2007) No. 3 , p: 53-55.

[12] Solow, R．M．Technical Change and Aggregate Production Function. Review of Economic Statistics(1957), p: 312-320.

[13] S.F. Liu Y.G. Dang, B.J. Li, X.H. Li, L.H. Wang. The G-C-D Model and Measurement of the Contribution Rate of Technological Advance. Chinese Journal of Management Science, Vol. 7(1999) No. 2 , p: 76-80.

[14] Snoyy, V., Inter - industry technology flows and productivity in finish manufacturing , Economic Systems Research: Journal of the International Input- Output Association(1997) No. 9 , p: 67-80.